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<section id="module-datafusion.functions.spark">
<span id="datafusion-functions-spark"></span><h1>datafusion.functions.spark<a class="headerlink" href="#module-datafusion.functions.spark" title="Link to this heading">#</a></h1>
<p>Spark-compatible function bindings.</p>
<p>These functions mirror the semantics of their Apache Spark counterparts
exactly. Some override DataFusion built-ins (<code class="docutils literal notranslate"><span class="pre">substring</span></code> is 1-indexed,
<code class="docutils literal notranslate"><span class="pre">concat</span></code> propagates NULL, <code class="docutils literal notranslate"><span class="pre">round</span></code> uses HALF_UP rounding, etc.), which is
why they live in a separate namespace rather than replacing the defaults.</p>
<p>For DataFrame use, import this module and call functions directly. For SQL
use, call <code class="xref py py-meth docutils literal notranslate"><span class="pre">datafusion.SessionContext.enable_spark_functions()</span></code> to
register the Spark UDFs by name (overriding any built-ins with matching
names) before issuing SQL queries.</p>
<section id="functions">
<h2>Functions<a class="headerlink" href="#functions" title="Link to this heading">#</a></h2>
<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.abs" title="datafusion.functions.spark.abs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">abs</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">abs</span></code>: absolute value.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.add_months" title="datafusion.functions.spark.add_months"><code class="xref py py-obj docutils literal notranslate"><span class="pre">add_months</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">add_months</span></code>: date + N months.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.array" title="datafusion.functions.spark.array"><code class="xref py py-obj docutils literal notranslate"><span class="pre">array</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">array</span></code>: builds an array from the given elements.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.array_contains" title="datafusion.functions.spark.array_contains"><code class="xref py py-obj docutils literal notranslate"><span class="pre">array_contains</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">array_contains</span></code>: true if the array contains the element.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.array_repeat" title="datafusion.functions.spark.array_repeat"><code class="xref py py-obj docutils literal notranslate"><span class="pre">array_repeat</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">array_repeat</span></code>: array of <code class="docutils literal notranslate"><span class="pre">element</span></code> repeated <code class="docutils literal notranslate"><span class="pre">count</span></code> times.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.ascii" title="datafusion.functions.spark.ascii"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ascii</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">ascii</span></code>: code point of the first character.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.avg" title="datafusion.functions.spark.avg"><code class="xref py py-obj docutils literal notranslate"><span class="pre">avg</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">avg</span></code>: returns the mean of a numeric column.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.base64" title="datafusion.functions.spark.base64"><code class="xref py py-obj docutils literal notranslate"><span class="pre">base64</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">base64</span></code>: encode binary as a base64 string.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.bin" title="datafusion.functions.spark.bin"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bin</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">bin</span></code>: binary string representation of a long.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.bit_count" title="datafusion.functions.spark.bit_count"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bit_count</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">bit_count</span></code>: number of bits set in the integer's binary form.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.bit_get" title="datafusion.functions.spark.bit_get"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bit_get</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">bit_get</span></code>: returns the bit (0 or 1) at <code class="docutils literal notranslate"><span class="pre">pos</span></code>.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.bitmap_bit_position" title="datafusion.functions.spark.bitmap_bit_position"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bitmap_bit_position</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">bitmap_bit_position</span></code>: bit position for a child expression.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.bitmap_bucket_number" title="datafusion.functions.spark.bitmap_bucket_number"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bitmap_bucket_number</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">bitmap_bucket_number</span></code>: bucket number for a child expression.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.bitmap_count" title="datafusion.functions.spark.bitmap_count"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bitmap_count</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">bitmap_count</span></code>: number of set bits in a bitmap.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.bitwise_not" title="datafusion.functions.spark.bitwise_not"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bitwise_not</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">~</span></code>: bitwise NOT.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.ceil" title="datafusion.functions.spark.ceil"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ceil</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">ceil</span></code>: smallest integer ≥ arg.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.char" title="datafusion.functions.spark.char"><code class="xref py py-obj docutils literal notranslate"><span class="pre">char</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">char</span></code>: ASCII character for a code point (mod 256).</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.collect_list" title="datafusion.functions.spark.collect_list"><code class="xref py py-obj docutils literal notranslate"><span class="pre">collect_list</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">collect_list</span></code>: collect values into an array (preserves dups).</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.collect_set" title="datafusion.functions.spark.collect_set"><code class="xref py py-obj docutils literal notranslate"><span class="pre">collect_set</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">collect_set</span></code>: collect distinct values into an array.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.concat" title="datafusion.functions.spark.concat"><code class="xref py py-obj docutils literal notranslate"><span class="pre">concat</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">concat</span></code>: concatenates strings; NULL if any input is NULL.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.crc32" title="datafusion.functions.spark.crc32"><code class="xref py py-obj docutils literal notranslate"><span class="pre">crc32</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">crc32</span></code>: cyclic redundancy check value as a bigint.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.csc" title="datafusion.functions.spark.csc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">csc</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">csc</span></code>: cosecant.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.date_add" title="datafusion.functions.spark.date_add"><code class="xref py py-obj docutils literal notranslate"><span class="pre">date_add</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">date_add</span></code>: date + N days.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.date_diff" title="datafusion.functions.spark.date_diff"><code class="xref py py-obj docutils literal notranslate"><span class="pre">date_diff</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">date_diff</span></code>: number of days from <code class="docutils literal notranslate"><span class="pre">start_date</span></code> to <code class="docutils literal notranslate"><span class="pre">end_date</span></code>.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.date_part" title="datafusion.functions.spark.date_part"><code class="xref py py-obj docutils literal notranslate"><span class="pre">date_part</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">date_part</span></code>: extract <code class="docutils literal notranslate"><span class="pre">field</span></code> from a date/time/timestamp.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.date_sub" title="datafusion.functions.spark.date_sub"><code class="xref py py-obj docutils literal notranslate"><span class="pre">date_sub</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">date_sub</span></code>: date - N days.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.date_trunc" title="datafusion.functions.spark.date_trunc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">date_trunc</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">date_trunc</span></code>: truncate timestamp to unit <code class="docutils literal notranslate"><span class="pre">fmt</span></code>.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.elt" title="datafusion.functions.spark.elt"><code class="xref py py-obj docutils literal notranslate"><span class="pre">elt</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">elt</span></code>: returns the n-th input (1-indexed).</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.expm1" title="datafusion.functions.spark.expm1"><code class="xref py py-obj docutils literal notranslate"><span class="pre">expm1</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">expm1</span></code>: exp(arg) - 1.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.factorial" title="datafusion.functions.spark.factorial"><code class="xref py py-obj docutils literal notranslate"><span class="pre">factorial</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">factorial</span></code>: n! for n in [0..20], else NULL.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.floor" title="datafusion.functions.spark.floor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">floor</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">floor</span></code>: largest integer ≤ arg.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.format_string" title="datafusion.functions.spark.format_string"><code class="xref py py-obj docutils literal notranslate"><span class="pre">format_string</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">format_string</span></code>: printf-style format string.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.from_utc_timestamp" title="datafusion.functions.spark.from_utc_timestamp"><code class="xref py py-obj docutils literal notranslate"><span class="pre">from_utc_timestamp</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">from_utc_timestamp</span></code>: interpret <code class="docutils literal notranslate"><span class="pre">ts</span></code> as UTC, convert to <code class="docutils literal notranslate"><span class="pre">tz</span></code>.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.hex" title="datafusion.functions.spark.hex"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hex</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">hex</span></code>: hexadecimal representation.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.hour" title="datafusion.functions.spark.hour"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hour</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">hour</span></code>: extract hour component of a timestamp.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.if_" title="datafusion.functions.spark.if_"><code class="xref py py-obj docutils literal notranslate"><span class="pre">if_</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">if</span></code>: returns <code class="docutils literal notranslate"><span class="pre">if_true</span></code> when <code class="docutils literal notranslate"><span class="pre">condition</span></code> is true, else <code class="docutils literal notranslate"><span class="pre">if_false</span></code>.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.ilike" title="datafusion.functions.spark.ilike"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ilike</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">ilike</span></code>: case-insensitive pattern match.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.is_valid_utf8" title="datafusion.functions.spark.is_valid_utf8"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_valid_utf8</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">is_valid_utf8</span></code>: true if the string is valid UTF-8.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.json_tuple" title="datafusion.functions.spark.json_tuple"><code class="xref py py-obj docutils literal notranslate"><span class="pre">json_tuple</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">json_tuple</span></code>: extract top-level fields from a JSON string.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.last_day" title="datafusion.functions.spark.last_day"><code class="xref py py-obj docutils literal notranslate"><span class="pre">last_day</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">last_day</span></code>: last day of the month containing the date.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.length" title="datafusion.functions.spark.length"><code class="xref py py-obj docutils literal notranslate"><span class="pre">length</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">length</span></code>: character length of a string, or byte length of binary.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.like" title="datafusion.functions.spark.like"><code class="xref py py-obj docutils literal notranslate"><span class="pre">like</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">like</span></code>: case-sensitive pattern match.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.luhn_check" title="datafusion.functions.spark.luhn_check"><code class="xref py py-obj docutils literal notranslate"><span class="pre">luhn_check</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">luhn_check</span></code>: true if the digit string passes the Luhn check.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.make_dt_interval" title="datafusion.functions.spark.make_dt_interval"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_dt_interval</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">make_dt_interval</span></code>: day-time interval from components.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.make_interval" title="datafusion.functions.spark.make_interval"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_interval</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">make_interval</span></code>: interval from year/month/week/day/hour/min/sec parts.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.make_valid_utf8" title="datafusion.functions.spark.make_valid_utf8"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_valid_utf8</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">make_valid_utf8</span></code>: replace invalid UTF-8 bytes with U+FFFD.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.map_from_arrays" title="datafusion.functions.spark.map_from_arrays"><code class="xref py py-obj docutils literal notranslate"><span class="pre">map_from_arrays</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">map_from_arrays</span></code>: build a map from parallel key/value arrays.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.map_from_entries" title="datafusion.functions.spark.map_from_entries"><code class="xref py py-obj docutils literal notranslate"><span class="pre">map_from_entries</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">map_from_entries</span></code>: build a map from an array of key/value structs.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.minute" title="datafusion.functions.spark.minute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">minute</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">minute</span></code>: extract minute component of a timestamp.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.modulus" title="datafusion.functions.spark.modulus"><code class="xref py py-obj docutils literal notranslate"><span class="pre">modulus</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">mod</span></code>: remainder of <code class="docutils literal notranslate"><span class="pre">dividend</span> <span class="pre">/</span> <span class="pre">divisor</span></code> (sign follows dividend).</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.negative" title="datafusion.functions.spark.negative"><code class="xref py py-obj docutils literal notranslate"><span class="pre">negative</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">negative</span></code>: unary minus.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.next_day" title="datafusion.functions.spark.next_day"><code class="xref py py-obj docutils literal notranslate"><span class="pre">next_day</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">next_day</span></code>: first date after <code class="docutils literal notranslate"><span class="pre">start_date</span></code> named <code class="docutils literal notranslate"><span class="pre">day_of_week</span></code>.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.parse_url" title="datafusion.functions.spark.parse_url"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parse_url</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">parse_url</span></code>: extract a part from a URL; errors on invalid URLs.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.pmod" title="datafusion.functions.spark.pmod"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pmod</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">pmod</span></code>: positive remainder of division.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.rint" title="datafusion.functions.spark.rint"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rint</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">rint</span></code>: round to nearest mathematical integer (as double).</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.round" title="datafusion.functions.spark.round"><code class="xref py py-obj docutils literal notranslate"><span class="pre">round</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">round</span></code>: round to <code class="docutils literal notranslate"><span class="pre">scale</span></code> decimal places, HALF_UP rounding.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.sec" title="datafusion.functions.spark.sec"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sec</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">sec</span></code>: secant.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.second" title="datafusion.functions.spark.second"><code class="xref py py-obj docutils literal notranslate"><span class="pre">second</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">second</span></code>: extract second component of a timestamp.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.sha1" title="datafusion.functions.spark.sha1"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sha1</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">sha1</span></code>: SHA-1 hash as a hex string.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.sha2" title="datafusion.functions.spark.sha2"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sha2</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">sha2</span></code>: SHA-2 family hash (224, 256, 384, 512). Bit length 0 = 256.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.shiftleft" title="datafusion.functions.spark.shiftleft"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shiftleft</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">shiftleft</span></code>: <code class="docutils literal notranslate"><span class="pre">value</span></code> shifted left by <code class="docutils literal notranslate"><span class="pre">shift</span></code> bits.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.shiftright" title="datafusion.functions.spark.shiftright"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shiftright</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">shiftright</span></code>: arithmetic right shift.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.shiftrightunsigned" title="datafusion.functions.spark.shiftrightunsigned"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shiftrightunsigned</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">shiftrightunsigned</span></code>: logical (unsigned) right shift.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.shuffle" title="datafusion.functions.spark.shuffle"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shuffle</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">shuffle</span></code>: returns a random permutation of the input array.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.size" title="datafusion.functions.spark.size"><code class="xref py py-obj docutils literal notranslate"><span class="pre">size</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">size</span></code>: length of an array or map.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.slice" title="datafusion.functions.spark.slice"><code class="xref py py-obj docutils literal notranslate"><span class="pre">slice</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">slice</span></code>: subset of the array from 1-indexed <code class="docutils literal notranslate"><span class="pre">start</span></code> with <code class="docutils literal notranslate"><span class="pre">length</span></code>.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.soundex" title="datafusion.functions.spark.soundex"><code class="xref py py-obj docutils literal notranslate"><span class="pre">soundex</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">soundex</span></code>: Soundex phonetic code.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.space" title="datafusion.functions.spark.space"><code class="xref py py-obj docutils literal notranslate"><span class="pre">space</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">space</span></code>: string of n spaces.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.spark_cast" title="datafusion.functions.spark.spark_cast"><code class="xref py py-obj docutils literal notranslate"><span class="pre">spark_cast</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">cast</span></code>: cast <code class="docutils literal notranslate"><span class="pre">arg</span></code> to the type named by <code class="docutils literal notranslate"><span class="pre">type_str</span></code>.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.str_to_map" title="datafusion.functions.spark.str_to_map"><code class="xref py py-obj docutils literal notranslate"><span class="pre">str_to_map</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">str_to_map</span></code>: split text into key/value pairs using delimiters.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.substring" title="datafusion.functions.spark.substring"><code class="xref py py-obj docutils literal notranslate"><span class="pre">substring</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">substring</span></code>: 1-indexed substring starting at <code class="docutils literal notranslate"><span class="pre">pos</span></code> of given <code class="docutils literal notranslate"><span class="pre">length</span></code>.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.time_trunc" title="datafusion.functions.spark.time_trunc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">time_trunc</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">time_trunc</span></code>: truncate time value to unit <code class="docutils literal notranslate"><span class="pre">fmt</span></code>.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.to_utc_timestamp" title="datafusion.functions.spark.to_utc_timestamp"><code class="xref py py-obj docutils literal notranslate"><span class="pre">to_utc_timestamp</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">to_utc_timestamp</span></code>: interpret <code class="docutils literal notranslate"><span class="pre">ts</span></code> as <code class="docutils literal notranslate"><span class="pre">tz</span></code>, convert to UTC.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.trunc" title="datafusion.functions.spark.trunc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trunc</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">trunc</span></code>: truncate date to unit <code class="docutils literal notranslate"><span class="pre">fmt</span></code>.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.try_parse_url" title="datafusion.functions.spark.try_parse_url"><code class="xref py py-obj docutils literal notranslate"><span class="pre">try_parse_url</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">try_parse_url</span></code>: like <code class="docutils literal notranslate"><span class="pre">parse_url</span></code> but returns NULL on invalid URLs.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.try_sum" title="datafusion.functions.spark.try_sum"><code class="xref py py-obj docutils literal notranslate"><span class="pre">try_sum</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">try_sum</span></code>: sum that returns NULL on overflow.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.try_url_decode" title="datafusion.functions.spark.try_url_decode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">try_url_decode</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">try_url_decode</span></code>: like <code class="docutils literal notranslate"><span class="pre">url_decode</span></code>; returns NULL on invalid input.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.unbase64" title="datafusion.functions.spark.unbase64"><code class="xref py py-obj docutils literal notranslate"><span class="pre">unbase64</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">unbase64</span></code>: decode a base64 string to binary.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.unhex" title="datafusion.functions.spark.unhex"><code class="xref py py-obj docutils literal notranslate"><span class="pre">unhex</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">unhex</span></code>: convert hexadecimal string to binary.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.unix_date" title="datafusion.functions.spark.unix_date"><code class="xref py py-obj docutils literal notranslate"><span class="pre">unix_date</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">unix_date</span></code>: days since 1970-01-01 for <code class="docutils literal notranslate"><span class="pre">dt</span></code>.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.unix_micros" title="datafusion.functions.spark.unix_micros"><code class="xref py py-obj docutils literal notranslate"><span class="pre">unix_micros</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">unix_micros</span></code>: microseconds since epoch for <code class="docutils literal notranslate"><span class="pre">ts</span></code>.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.unix_millis" title="datafusion.functions.spark.unix_millis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">unix_millis</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">unix_millis</span></code>: milliseconds since epoch for <code class="docutils literal notranslate"><span class="pre">ts</span></code>.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.unix_seconds" title="datafusion.functions.spark.unix_seconds"><code class="xref py py-obj docutils literal notranslate"><span class="pre">unix_seconds</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">unix_seconds</span></code>: seconds since epoch for <code class="docutils literal notranslate"><span class="pre">ts</span></code>.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.url_decode" title="datafusion.functions.spark.url_decode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">url_decode</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">url_decode</span></code>: decode an application/x-www-form-urlencoded string.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.url_encode" title="datafusion.functions.spark.url_encode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">url_encode</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">url_encode</span></code>: encode a string in application/x-www-form-urlencoded.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.functions.spark.width_bucket" title="datafusion.functions.spark.width_bucket"><code class="xref py py-obj docutils literal notranslate"><span class="pre">width_bucket</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">width_bucket</span></code>: bucket number for <code class="docutils literal notranslate"><span class="pre">value</span></code> in equi-width histogram.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.functions.spark.xxhash64" title="datafusion.functions.spark.xxhash64"><code class="xref py py-obj docutils literal notranslate"><span class="pre">xxhash64</span></code></a>(→ datafusion.expr.Expr)</p></td>
<td><p>Spark <code class="docutils literal notranslate"><span class="pre">xxhash64</span></code>: 64-bit xxHash of the arguments.</p></td>
</tr>
</tbody>
</table>
</div>
</section>
<section id="module-contents">
<h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to this heading">#</a></h2>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.abs">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">abs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.abs" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">abs</span></code>: absolute value.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="o">-</span><span class="mi">5</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">5</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.add_months">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">add_months</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">months</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.add_months" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">add_months</span></code>: date + N months.</p>
<p><code class="docutils literal notranslate"><span class="pre">months</span></code> accepts a native <code class="docutils literal notranslate"><span class="pre">int</span></code> or an <code class="xref py py-class docutils literal notranslate"><span class="pre">Expr</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span><span class="w"> </span><span class="nn">pyarrow</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pa</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span><span class="w"> </span><span class="nn">datetime</span><span class="w"> </span><span class="kn">import</span> <span class="n">date</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="n">pa</span><span class="o">.</span><span class="n">scalar</span><span class="p">(</span><span class="n">date</span><span class="p">(</span><span class="mi">2020</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">15</span><span class="p">),</span> <span class="nb">type</span><span class="o">=</span><span class="n">pa</span><span class="o">.</span><span class="n">date32</span><span class="p">()))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">add_months</span><span class="p">(</span><span class="n">d</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">datetime.date(2020, 3, 15)</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.array">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">array</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">cols</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.array" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">array</span></code>: builds an array from the given elements.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">array</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">1</span><span class="p">),</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">2</span><span class="p">),</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">3</span><span class="p">)</span>
<span class="gp">... </span> <span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)</span>
<span class="gp">... </span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">[1, 2, 3]</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.array_contains">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">array_contains</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.array_contains" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">array_contains</span></code>: true if the array contains the element.</p>
<p><code class="docutils literal notranslate"><span class="pre">value</span></code> accepts a native Python literal or an <code class="xref py py-class docutils literal notranslate"><span class="pre">Expr</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">array_contains</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">1</span><span class="p">),</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">2</span><span class="p">)),</span> <span class="mi">1</span>
<span class="gp">... </span> <span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)</span>
<span class="gp">... </span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">True</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.array_repeat">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">array_repeat</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">count</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.array_repeat" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">array_repeat</span></code>: array of <code class="docutils literal notranslate"><span class="pre">element</span></code> repeated <code class="docutils literal notranslate"><span class="pre">count</span></code> times.</p>
<p><code class="docutils literal notranslate"><span class="pre">count</span></code> accepts a native <code class="docutils literal notranslate"><span class="pre">int</span></code> or an <code class="xref py py-class docutils literal notranslate"><span class="pre">Expr</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">array_repeat</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;a&quot;</span><span class="p">),</span> <span class="mi">3</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">[&#39;a&#39;, &#39;a&#39;, &#39;a&#39;]</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.ascii">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">ascii</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.ascii" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">ascii</span></code>: code point of the first character.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">ascii</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;A&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">65</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.avg">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">avg</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">distinct</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">order_by</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">datafusion.expr.SortKey</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">datafusion.expr.SortKey</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">null_treatment</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">datafusion.common.NullTreatment</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.avg" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">avg</span></code>: returns the mean of a numeric column.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;a&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mf">1.0</span><span class="p">,</span> <span class="mf">2.0</span><span class="p">,</span> <span class="mf">3.0</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">aggregate</span><span class="p">(</span>
<span class="gp">... </span> <span class="p">[],</span> <span class="p">[</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">avg</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">col</span><span class="p">(</span><span class="s2">&quot;a&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">2.0</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.base64">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">base64</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.base64" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">base64</span></code>: encode binary as a base64 string.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">base64</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="sa">b</span><span class="s2">&quot;hi&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">&#39;aGk=&#39;</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.bin">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">bin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.bin" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">bin</span></code>: binary string representation of a long.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">bin</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">7</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">&#39;111&#39;</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.bit_count">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">bit_count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.bit_count" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">bit_count</span></code>: number of bits set in the integer’s binary form.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">bit_count</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">7</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">3</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.bit_get">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">bit_get</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.bit_get" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">bit_get</span></code>: returns the bit (0 or 1) at <code class="docutils literal notranslate"><span class="pre">pos</span></code>.</p>
<p>A bare <code class="docutils literal notranslate"><span class="pre">str</span></code> <code class="docutils literal notranslate"><span class="pre">pos</span></code> is treated as a column name (matching pyspark),
not a literal; pass <a class="reference internal" href="../../index.html#datafusion.lit" title="datafusion.lit"><code class="xref py py-func docutils literal notranslate"><span class="pre">lit()</span></code></a> for a literal position.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">bit_get</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">5</span><span class="p">),</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">0</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">1</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.bitmap_bit_position">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">bitmap_bit_position</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.bitmap_bit_position" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">bitmap_bit_position</span></code>: bit position for a child expression.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">bitmap_bit_position</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">15</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">14</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.bitmap_bucket_number">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">bitmap_bucket_number</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.bitmap_bucket_number" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">bitmap_bucket_number</span></code>: bucket number for a child expression.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">bitmap_bucket_number</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">15</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">1</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.bitmap_count">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">bitmap_count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.bitmap_count" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">bitmap_count</span></code>: number of set bits in a bitmap.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">bitmap_count</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="sa">b</span><span class="s2">&quot;</span><span class="se">\xff</span><span class="s2">&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">8</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.bitwise_not">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">bitwise_not</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.bitwise_not" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">~</span></code>: bitwise NOT.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">bitwise_not</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">0</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">-1</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.ceil">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">ceil</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.ceil" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">ceil</span></code>: smallest integer ≥ arg.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mf">1.2</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">2</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.char">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">char</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.char" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">char</span></code>: ASCII character for a code point (mod 256).</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">char</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">65</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">&#39;A&#39;</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.collect_list">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">collect_list</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">distinct</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">order_by</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">datafusion.expr.SortKey</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">datafusion.expr.SortKey</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">null_treatment</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">datafusion.common.NullTreatment</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.collect_list" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">collect_list</span></code>: collect values into an array (preserves dups).</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;a&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">aggregate</span><span class="p">(</span>
<span class="gp">... </span> <span class="p">[],</span> <span class="p">[</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">collect_list</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">col</span><span class="p">(</span><span class="s2">&quot;a&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="nb">sorted</span><span class="p">(</span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">())</span>
<span class="go">[1, 2, 2]</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.collect_set">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">collect_set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">distinct</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">order_by</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">datafusion.expr.SortKey</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">datafusion.expr.SortKey</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">null_treatment</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">datafusion.common.NullTreatment</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.collect_set" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">collect_set</span></code>: collect distinct values into an array.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;a&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">aggregate</span><span class="p">(</span>
<span class="gp">... </span> <span class="p">[],</span> <span class="p">[</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">collect_set</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">col</span><span class="p">(</span><span class="s2">&quot;a&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="nb">sorted</span><span class="p">(</span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">())</span>
<span class="go">[1, 2, 3]</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.concat">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">concat</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">cols</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.concat" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">concat</span></code>: concatenates strings; NULL if any input is NULL.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">concat</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;a&quot;</span><span class="p">),</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;b&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">&#39;ab&#39;</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.crc32">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">crc32</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.crc32" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">crc32</span></code>: cyclic redundancy check value as a bigint.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;s&quot;</span><span class="p">:</span> <span class="p">[</span><span class="s2">&quot;ABC&quot;</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">crc32</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">col</span><span class="p">(</span><span class="s2">&quot;s&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">2743272264</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.csc">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">csc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.csc" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">csc</span></code>: cosecant.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">csc</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mf">1.5708</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s1">&#39;v&#39;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span><span class="si">:</span><span class="s2">.4f</span><span class="si">}</span><span class="s2">&quot;</span>
<span class="go">&#39;1.0000&#39;</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.date_add">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">date_add</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">days</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.date_add" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">date_add</span></code>: date + N days.</p>
<p><code class="docutils literal notranslate"><span class="pre">days</span></code> accepts a native <code class="docutils literal notranslate"><span class="pre">int</span></code> or an <code class="xref py py-class docutils literal notranslate"><span class="pre">Expr</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span><span class="w"> </span><span class="nn">pyarrow</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pa</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span><span class="w"> </span><span class="nn">datetime</span><span class="w"> </span><span class="kn">import</span> <span class="n">date</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="n">pa</span><span class="o">.</span><span class="n">scalar</span><span class="p">(</span><span class="n">date</span><span class="p">(</span><span class="mi">2020</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">15</span><span class="p">),</span> <span class="nb">type</span><span class="o">=</span><span class="n">pa</span><span class="o">.</span><span class="n">date32</span><span class="p">()))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">date_add</span><span class="p">(</span><span class="n">d</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">datetime.date(2020, 1, 20)</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.date_diff">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">date_diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">end</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.date_diff" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">date_diff</span></code>: number of days from <code class="docutils literal notranslate"><span class="pre">start_date</span></code> to <code class="docutils literal notranslate"><span class="pre">end_date</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span><span class="w"> </span><span class="nn">pyarrow</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pa</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span><span class="w"> </span><span class="nn">datetime</span><span class="w"> </span><span class="kn">import</span> <span class="n">date</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="n">pa</span><span class="o">.</span><span class="n">scalar</span><span class="p">(</span><span class="n">date</span><span class="p">(</span><span class="mi">2020</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">15</span><span class="p">),</span> <span class="nb">type</span><span class="o">=</span><span class="n">pa</span><span class="o">.</span><span class="n">date32</span><span class="p">()))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">end</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="n">pa</span><span class="o">.</span><span class="n">scalar</span><span class="p">(</span><span class="n">date</span><span class="p">(</span><span class="mi">2020</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">),</span> <span class="nb">type</span><span class="o">=</span><span class="n">pa</span><span class="o">.</span><span class="n">date32</span><span class="p">()))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">date_diff</span><span class="p">(</span><span class="n">end</span><span class="p">,</span> <span class="n">d</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">5</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.date_part">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">date_part</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">field</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">source</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.date_part" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">date_part</span></code>: extract <code class="docutils literal notranslate"><span class="pre">field</span></code> from a date/time/timestamp.</p>
<p><code class="docutils literal notranslate"><span class="pre">field</span></code> accepts a native <code class="docutils literal notranslate"><span class="pre">str</span></code> or an <code class="xref py py-class docutils literal notranslate"><span class="pre">Expr</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span><span class="w"> </span><span class="nn">pyarrow</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pa</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span><span class="w"> </span><span class="nn">datetime</span><span class="w"> </span><span class="kn">import</span> <span class="n">date</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="n">pa</span><span class="o">.</span><span class="n">scalar</span><span class="p">(</span><span class="n">date</span><span class="p">(</span><span class="mi">2020</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">15</span><span class="p">),</span> <span class="nb">type</span><span class="o">=</span><span class="n">pa</span><span class="o">.</span><span class="n">date32</span><span class="p">()))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">date_part</span><span class="p">(</span><span class="s2">&quot;year&quot;</span><span class="p">,</span> <span class="n">d</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">2020</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.date_sub">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">date_sub</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">days</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.date_sub" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">date_sub</span></code>: date - N days.</p>
<p><code class="docutils literal notranslate"><span class="pre">days</span></code> accepts a native <code class="docutils literal notranslate"><span class="pre">int</span></code> or an <code class="xref py py-class docutils literal notranslate"><span class="pre">Expr</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span><span class="w"> </span><span class="nn">pyarrow</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pa</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span><span class="w"> </span><span class="nn">datetime</span><span class="w"> </span><span class="kn">import</span> <span class="n">date</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="n">pa</span><span class="o">.</span><span class="n">scalar</span><span class="p">(</span><span class="n">date</span><span class="p">(</span><span class="mi">2020</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">15</span><span class="p">),</span> <span class="nb">type</span><span class="o">=</span><span class="n">pa</span><span class="o">.</span><span class="n">date32</span><span class="p">()))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">date_sub</span><span class="p">(</span><span class="n">d</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">datetime.date(2020, 1, 10)</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.date_trunc">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">date_trunc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timestamp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.date_trunc" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">date_trunc</span></code>: truncate timestamp to unit <code class="docutils literal notranslate"><span class="pre">fmt</span></code>.</p>
<p><code class="docutils literal notranslate"><span class="pre">format</span></code> accepts a native <code class="docutils literal notranslate"><span class="pre">str</span></code> or an <code class="xref py py-class docutils literal notranslate"><span class="pre">Expr</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span><span class="w"> </span><span class="nn">pyarrow</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pa</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span><span class="w"> </span><span class="nn">datetime</span><span class="w"> </span><span class="kn">import</span> <span class="n">datetime</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ts</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">pa</span><span class="o">.</span><span class="n">scalar</span><span class="p">(</span><span class="n">datetime</span><span class="p">(</span><span class="mi">2020</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">15</span><span class="p">,</span> <span class="mi">14</span><span class="p">,</span> <span class="mi">30</span><span class="p">,</span> <span class="mi">45</span><span class="p">),</span>
<span class="gp">... </span> <span class="nb">type</span><span class="o">=</span><span class="n">pa</span><span class="o">.</span><span class="n">timestamp</span><span class="p">(</span><span class="s1">&#39;us&#39;</span><span class="p">)))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">date_trunc</span><span class="p">(</span><span class="s2">&quot;month&quot;</span><span class="p">,</span> <span class="n">ts</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">datetime.datetime(2020, 1, 1, 0, 0)</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.elt">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">elt</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">inputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.elt" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">elt</span></code>: returns the n-th input (1-indexed).</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">elt</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">2</span><span class="p">),</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;a&quot;</span><span class="p">),</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;b&quot;</span><span class="p">)</span>
<span class="gp">... </span> <span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)</span>
<span class="gp">... </span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">&#39;b&#39;</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.expm1">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">expm1</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.expm1" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">expm1</span></code>: exp(arg) - 1.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">expm1</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mf">0.0</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">0.0</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.factorial">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">factorial</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.factorial" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">factorial</span></code>: n! for n in [0..20], else NULL.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span><span class="w"> </span><span class="nn">pyarrow</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pa</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">factorial</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="n">pa</span><span class="o">.</span><span class="n">scalar</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span> <span class="nb">type</span><span class="o">=</span><span class="n">pa</span><span class="o">.</span><span class="n">int32</span><span class="p">()))</span>
<span class="gp">... </span> <span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)</span>
<span class="gp">... </span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">120</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.floor">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">floor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.floor" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">floor</span></code>: largest integer ≤ arg.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">floor</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mf">1.8</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">1</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.format_string">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">format_string</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">cols</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.format_string" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">format_string</span></code>: printf-style format string.</p>
<p><code class="docutils literal notranslate"><span class="pre">format</span></code> is the printf-style template (a plain <code class="docutils literal notranslate"><span class="pre">str</span></code> is auto-promoted
to a literal expression); remaining args are values to substitute.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">format_string</span><span class="p">(</span>
<span class="gp">... </span> <span class="s2">&quot;</span><span class="si">%d</span><span class="s2">-</span><span class="si">%s</span><span class="s2">&quot;</span><span class="p">,</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">42</span><span class="p">),</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;hi&quot;</span><span class="p">)</span>
<span class="gp">... </span> <span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)</span>
<span class="gp">... </span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">&#39;42-hi&#39;</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.from_utc_timestamp">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">from_utc_timestamp</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">timestamp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">tz</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.from_utc_timestamp" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">from_utc_timestamp</span></code>: interpret <code class="docutils literal notranslate"><span class="pre">ts</span></code> as UTC, convert to <code class="docutils literal notranslate"><span class="pre">tz</span></code>.</p>
<p><code class="docutils literal notranslate"><span class="pre">tz</span></code> accepts a native <code class="docutils literal notranslate"><span class="pre">str</span></code> or an <code class="xref py py-class docutils literal notranslate"><span class="pre">Expr</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span><span class="w"> </span><span class="nn">pyarrow</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pa</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span><span class="w"> </span><span class="nn">datetime</span><span class="w"> </span><span class="kn">import</span> <span class="n">datetime</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ts</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">pa</span><span class="o">.</span><span class="n">scalar</span><span class="p">(</span><span class="n">datetime</span><span class="p">(</span><span class="mi">2020</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">15</span><span class="p">,</span> <span class="mi">14</span><span class="p">,</span> <span class="mi">30</span><span class="p">,</span> <span class="mi">45</span><span class="p">),</span>
<span class="gp">... </span> <span class="nb">type</span><span class="o">=</span><span class="n">pa</span><span class="o">.</span><span class="n">timestamp</span><span class="p">(</span><span class="s1">&#39;us&#39;</span><span class="p">)))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">from_utc_timestamp</span><span class="p">(</span><span class="n">ts</span><span class="p">,</span> <span class="s2">&quot;UTC&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">datetime.datetime(2020, 1, 15, 14, 30, 45)</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.hex">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">hex</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.hex" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">hex</span></code>: hexadecimal representation.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">hex</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">255</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">&#39;FF&#39;</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.hour">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">hour</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.hour" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">hour</span></code>: extract hour component of a timestamp.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span><span class="w"> </span><span class="nn">pyarrow</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pa</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span><span class="w"> </span><span class="nn">datetime</span><span class="w"> </span><span class="kn">import</span> <span class="n">datetime</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ts</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">pa</span><span class="o">.</span><span class="n">scalar</span><span class="p">(</span><span class="n">datetime</span><span class="p">(</span><span class="mi">2020</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">15</span><span class="p">,</span> <span class="mi">14</span><span class="p">,</span> <span class="mi">30</span><span class="p">,</span> <span class="mi">45</span><span class="p">),</span>
<span class="gp">... </span> <span class="nb">type</span><span class="o">=</span><span class="n">pa</span><span class="o">.</span><span class="n">timestamp</span><span class="p">(</span><span class="s1">&#39;us&#39;</span><span class="p">)))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">hour</span><span class="p">(</span><span class="n">ts</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">14</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.if_">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">if_</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">condition</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">if_true</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Any</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">if_false</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.if_" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">if</span></code>: returns <code class="docutils literal notranslate"><span class="pre">if_true</span></code> when <code class="docutils literal notranslate"><span class="pre">condition</span></code> is true, else <code class="docutils literal notranslate"><span class="pre">if_false</span></code>.</p>
<p>Exposed as <code class="docutils literal notranslate"><span class="pre">if_</span></code> because <code class="docutils literal notranslate"><span class="pre">if</span></code> is a Python keyword. <code class="docutils literal notranslate"><span class="pre">if_true</span></code> and
<code class="docutils literal notranslate"><span class="pre">if_false</span></code> accept native Python literals or <code class="xref py py-class docutils literal notranslate"><span class="pre">Expr</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">if_</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span> <span class="o">&gt;</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">1</span><span class="p">),</span> <span class="s2">&quot;big&quot;</span><span class="p">,</span> <span class="s2">&quot;small&quot;</span>
<span class="gp">... </span> <span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)</span>
<span class="gp">... </span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">&#39;big&#39;</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.ilike">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">ilike</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">str</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">pattern</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">ilike.str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">escapeChar</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ilike.str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.ilike" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">ilike</span></code>: case-insensitive pattern match.</p>
<p>A bare <code class="docutils literal notranslate"><span class="pre">str</span></code> <code class="docutils literal notranslate"><span class="pre">pattern</span></code> is treated as a column name (matching pyspark),
not a literal; pass <a class="reference internal" href="../../index.html#datafusion.lit" title="datafusion.lit"><code class="xref py py-func docutils literal notranslate"><span class="pre">lit()</span></code></a> for a literal pattern.
<code class="docutils literal notranslate"><span class="pre">escapeChar</span></code> is accepted for pyspark parity but is not yet wired through
the Rust binding; passing a non-<code class="docutils literal notranslate"><span class="pre">None</span></code> value raises <code class="docutils literal notranslate"><span class="pre">NotImplementedError</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">ilike</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;HELLO&quot;</span><span class="p">),</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;h%&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">True</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.is_valid_utf8">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">is_valid_utf8</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">str</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.is_valid_utf8" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">is_valid_utf8</span></code>: true if the string is valid UTF-8.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">is_valid_utf8</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;hello&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">True</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.json_tuple">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">json_tuple</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">fields</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.json_tuple" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">json_tuple</span></code>: extract top-level fields from a JSON string.</p>
<p>Each field name accepts a native <code class="docutils literal notranslate"><span class="pre">str</span></code> or an <code class="xref py py-class docutils literal notranslate"><span class="pre">Expr</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">json_tuple</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s1">&#39;{&quot;a&quot;:1,&quot;b&quot;:&quot;x&quot;}&#39;</span><span class="p">),</span> <span class="s2">&quot;a&quot;</span><span class="p">,</span> <span class="s2">&quot;b&quot;</span>
<span class="gp">... </span> <span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)</span>
<span class="gp">... </span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">{&#39;c0&#39;: &#39;1&#39;, &#39;c1&#39;: &#39;x&#39;}</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.last_day">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">last_day</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.last_day" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">last_day</span></code>: last day of the month containing the date.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span><span class="w"> </span><span class="nn">pyarrow</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pa</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span><span class="w"> </span><span class="nn">datetime</span><span class="w"> </span><span class="kn">import</span> <span class="n">date</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="n">pa</span><span class="o">.</span><span class="n">scalar</span><span class="p">(</span><span class="n">date</span><span class="p">(</span><span class="mi">2020</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">15</span><span class="p">),</span> <span class="nb">type</span><span class="o">=</span><span class="n">pa</span><span class="o">.</span><span class="n">date32</span><span class="p">()))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">last_day</span><span class="p">(</span><span class="n">d</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">datetime.date(2020, 1, 31)</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.length">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">length</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.length" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">length</span></code>: character length of a string, or byte length of binary.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">length</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;hello&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">5</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.like">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">like</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">str</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">pattern</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">like.str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">escapeChar</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">like.str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.like" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">like</span></code>: case-sensitive pattern match.</p>
<p>A bare <code class="docutils literal notranslate"><span class="pre">str</span></code> <code class="docutils literal notranslate"><span class="pre">pattern</span></code> is treated as a column name (matching pyspark),
not a literal; pass <a class="reference internal" href="../../index.html#datafusion.lit" title="datafusion.lit"><code class="xref py py-func docutils literal notranslate"><span class="pre">lit()</span></code></a> for a literal pattern.
<code class="docutils literal notranslate"><span class="pre">escapeChar</span></code> is accepted for pyspark parity but is not yet wired through
the Rust binding; passing a non-<code class="docutils literal notranslate"><span class="pre">None</span></code> value raises <code class="docutils literal notranslate"><span class="pre">NotImplementedError</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">like</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;hello&quot;</span><span class="p">),</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;h%&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">True</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.luhn_check">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">luhn_check</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.luhn_check" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">luhn_check</span></code>: true if the digit string passes the Luhn check.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">luhn_check</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;4111111111111111&quot;</span><span class="p">)</span>
<span class="gp">... </span> <span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)</span>
<span class="gp">... </span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">True</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.make_dt_interval">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">make_dt_interval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">days</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hours</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mins</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">secs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.make_dt_interval" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">make_dt_interval</span></code>: day-time interval from components.</p>
<p>All parts are optional; omitted parts default to zero, matching pyspark.
Integer parts accept a native <code class="docutils literal notranslate"><span class="pre">int</span></code> and <code class="docutils literal notranslate"><span class="pre">secs</span></code> accepts a <code class="docutils literal notranslate"><span class="pre">float</span></code>,
or any part may be an <code class="xref py py-class docutils literal notranslate"><span class="pre">Expr</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">make_dt_interval</span><span class="p">()</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">datetime.timedelta(0)</span>
</pre></div>
</div>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">make_dt_interval</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">days</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">hours</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">mins</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">secs</span><span class="o">=</span><span class="mf">4.5</span>
<span class="gp">... </span> <span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)</span>
<span class="gp">... </span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">datetime.timedelta(days=1, seconds=7384, microseconds=500000)</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.make_interval">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">make_interval</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">years</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">months</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weeks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">days</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hours</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mins</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">secs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.make_interval" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">make_interval</span></code>: interval from year/month/week/day/hour/min/sec parts.</p>
<p>All parts are optional; omitted parts default to zero, matching pyspark.
Integer parts accept a native <code class="docutils literal notranslate"><span class="pre">int</span></code> and <code class="docutils literal notranslate"><span class="pre">secs</span></code> accepts a <code class="docutils literal notranslate"><span class="pre">float</span></code>,
or any part may be an <code class="xref py py-class docutils literal notranslate"><span class="pre">Expr</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">make_interval</span><span class="p">()</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span><span class="o">.</span><span class="n">months</span>
<span class="go">0</span>
</pre></div>
</div>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">make_interval</span><span class="p">(</span><span class="n">years</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span><span class="o">.</span><span class="n">months</span>
<span class="go">12</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.make_valid_utf8">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">make_valid_utf8</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">str</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.make_valid_utf8" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">make_valid_utf8</span></code>: replace invalid UTF-8 bytes with U+FFFD.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">make_valid_utf8</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;hello&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">&#39;hello&#39;</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.map_from_arrays">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">map_from_arrays</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col1</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">col2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.map_from_arrays" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">map_from_arrays</span></code>: build a map from parallel key/value arrays.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">keys</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;a&quot;</span><span class="p">),</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;b&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">vals</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">1</span><span class="p">),</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">2</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">map_from_arrays</span><span class="p">(</span><span class="n">keys</span><span class="p">,</span> <span class="n">vals</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">[(&#39;a&#39;, 1), (&#39;b&#39;, 2)]</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.map_from_entries">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">map_from_entries</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.map_from_entries" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">map_from_entries</span></code>: build a map from an array of key/value structs.</p>
<p><code class="docutils literal notranslate"><span class="pre">col</span></code> must be an array whose elements are two-field structs; the first
field becomes the map key and the second the value.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span><span class="w"> </span><span class="nn">pyarrow</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pa</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">entry_type</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">list_</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">pa</span><span class="o">.</span><span class="n">struct</span><span class="p">([(</span><span class="s2">&quot;key&quot;</span><span class="p">,</span> <span class="n">pa</span><span class="o">.</span><span class="n">string</span><span class="p">()),</span> <span class="p">(</span><span class="s2">&quot;value&quot;</span><span class="p">,</span> <span class="n">pa</span><span class="o">.</span><span class="n">int64</span><span class="p">())]))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">entries</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">array</span><span class="p">(</span>
<span class="gp">... </span> <span class="p">[[{</span><span class="s2">&quot;key&quot;</span><span class="p">:</span> <span class="s2">&quot;a&quot;</span><span class="p">,</span> <span class="s2">&quot;value&quot;</span><span class="p">:</span> <span class="mi">1</span><span class="p">},</span> <span class="p">{</span><span class="s2">&quot;key&quot;</span><span class="p">:</span> <span class="s2">&quot;b&quot;</span><span class="p">,</span> <span class="s2">&quot;value&quot;</span><span class="p">:</span> <span class="mi">2</span><span class="p">}]],</span>
<span class="gp">... </span> <span class="nb">type</span><span class="o">=</span><span class="n">entry_type</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_arrow</span><span class="p">(</span><span class="n">pa</span><span class="o">.</span><span class="n">record_batch</span><span class="p">([</span><span class="n">entries</span><span class="p">],</span> <span class="n">names</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;e&quot;</span><span class="p">]))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">map_from_entries</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">col</span><span class="p">(</span><span class="s2">&quot;e&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">[(&#39;a&#39;, 1), (&#39;b&#39;, 2)]</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.minute">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">minute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.minute" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">minute</span></code>: extract minute component of a timestamp.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span><span class="w"> </span><span class="nn">pyarrow</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pa</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span><span class="w"> </span><span class="nn">datetime</span><span class="w"> </span><span class="kn">import</span> <span class="n">datetime</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ts</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">pa</span><span class="o">.</span><span class="n">scalar</span><span class="p">(</span><span class="n">datetime</span><span class="p">(</span><span class="mi">2020</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">15</span><span class="p">,</span> <span class="mi">14</span><span class="p">,</span> <span class="mi">30</span><span class="p">,</span> <span class="mi">45</span><span class="p">),</span>
<span class="gp">... </span> <span class="nb">type</span><span class="o">=</span><span class="n">pa</span><span class="o">.</span><span class="n">timestamp</span><span class="p">(</span><span class="s1">&#39;us&#39;</span><span class="p">)))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">minute</span><span class="p">(</span><span class="n">ts</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">30</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.modulus">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">modulus</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dividend</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">divisor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.modulus" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">mod</span></code>: remainder of <code class="docutils literal notranslate"><span class="pre">dividend</span> <span class="pre">/</span> <span class="pre">divisor</span></code> (sign follows dividend).</p>
<p><code class="docutils literal notranslate"><span class="pre">dividend</span></code> and <code class="docutils literal notranslate"><span class="pre">divisor</span></code> accept native numbers or <code class="xref py py-class docutils literal notranslate"><span class="pre">Expr</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">modulus</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">10</span><span class="p">),</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">3</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">1</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.negative">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">negative</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.negative" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">negative</span></code>: unary minus.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">negative</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">3</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">-3</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.next_day">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">next_day</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">date</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">dayOfWeek</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.next_day" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">next_day</span></code>: first date after <code class="docutils literal notranslate"><span class="pre">start_date</span></code> named <code class="docutils literal notranslate"><span class="pre">day_of_week</span></code>.</p>
<p><code class="docutils literal notranslate"><span class="pre">dayOfWeek</span></code> accepts a native <code class="docutils literal notranslate"><span class="pre">str</span></code> or an <code class="xref py py-class docutils literal notranslate"><span class="pre">Expr</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span><span class="w"> </span><span class="nn">pyarrow</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pa</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span><span class="w"> </span><span class="nn">datetime</span><span class="w"> </span><span class="kn">import</span> <span class="n">date</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="n">pa</span><span class="o">.</span><span class="n">scalar</span><span class="p">(</span><span class="n">date</span><span class="p">(</span><span class="mi">2020</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">15</span><span class="p">),</span> <span class="nb">type</span><span class="o">=</span><span class="n">pa</span><span class="o">.</span><span class="n">date32</span><span class="p">()))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">next_day</span><span class="p">(</span><span class="n">d</span><span class="p">,</span> <span class="s2">&quot;Mon&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">datetime.date(2020, 1, 20)</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.parse_url">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">parse_url</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">url</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">partToExtract</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.parse_url" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">parse_url</span></code>: extract a part from a URL; errors on invalid URLs.</p>
<p><code class="docutils literal notranslate"><span class="pre">partToExtract</span></code> is one of <code class="docutils literal notranslate"><span class="pre">&quot;HOST&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;PATH&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;QUERY&quot;</span></code>,
<code class="docutils literal notranslate"><span class="pre">&quot;REF&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;PROTOCOL&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;FILE&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;AUTHORITY&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;USERINFO&quot;</span></code>.
Pass <code class="docutils literal notranslate"><span class="pre">key</span></code> only with <code class="docutils literal notranslate"><span class="pre">&quot;QUERY&quot;</span></code> to extract a single parameter. Bare
<code class="docutils literal notranslate"><span class="pre">str</span></code> values for <code class="docutils literal notranslate"><span class="pre">partToExtract</span></code>/<code class="docutils literal notranslate"><span class="pre">key</span></code> are treated as column names
(matching pyspark); pass <a class="reference internal" href="../../index.html#datafusion.lit" title="datafusion.lit"><code class="xref py py-func docutils literal notranslate"><span class="pre">lit()</span></code></a> for a literal.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">parse_url</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;http://example.com/path?q=1&quot;</span><span class="p">),</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;HOST&quot;</span><span class="p">)</span>
<span class="gp">... </span> <span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)</span>
<span class="gp">... </span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">&#39;example.com&#39;</span>
</pre></div>
</div>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">parse_url</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;http://example.com/path?q=1&quot;</span><span class="p">),</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;QUERY&quot;</span><span class="p">),</span>
<span class="gp">... </span> <span class="n">key</span><span class="o">=</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;q&quot;</span><span class="p">),</span>
<span class="gp">... </span> <span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)</span>
<span class="gp">... </span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">&#39;1&#39;</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.pmod">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">pmod</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dividend</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">divisor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.pmod" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">pmod</span></code>: positive remainder of division.</p>
<p><code class="docutils literal notranslate"><span class="pre">dividend</span></code> and <code class="docutils literal notranslate"><span class="pre">divisor</span></code> accept native numbers or <code class="xref py py-class docutils literal notranslate"><span class="pre">Expr</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">pmod</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">),</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">3</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">2</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.rint">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">rint</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.rint" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">rint</span></code>: round to nearest mathematical integer (as double).</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">rint</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mf">2.5</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">2.0</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.round">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">round</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.round" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">round</span></code>: round to <code class="docutils literal notranslate"><span class="pre">scale</span></code> decimal places, HALF_UP rounding.</p>
<p><code class="docutils literal notranslate"><span class="pre">scale</span></code> defaults to zero when omitted, matching pyspark, and accepts a
native <code class="docutils literal notranslate"><span class="pre">int</span></code> or an <code class="xref py py-class docutils literal notranslate"><span class="pre">Expr</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mf">2.5</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">3.0</span>
</pre></div>
</div>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mf">2.345</span><span class="p">),</span> <span class="n">scale</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">2.35</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.sec">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">sec</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.sec" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">sec</span></code>: secant.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">sec</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mf">0.0</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">1.0</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.second">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">second</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.second" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">second</span></code>: extract second component of a timestamp.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span><span class="w"> </span><span class="nn">pyarrow</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pa</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span><span class="w"> </span><span class="nn">datetime</span><span class="w"> </span><span class="kn">import</span> <span class="n">datetime</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ts</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">pa</span><span class="o">.</span><span class="n">scalar</span><span class="p">(</span><span class="n">datetime</span><span class="p">(</span><span class="mi">2020</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">15</span><span class="p">,</span> <span class="mi">14</span><span class="p">,</span> <span class="mi">30</span><span class="p">,</span> <span class="mi">45</span><span class="p">),</span>
<span class="gp">... </span> <span class="nb">type</span><span class="o">=</span><span class="n">pa</span><span class="o">.</span><span class="n">timestamp</span><span class="p">(</span><span class="s1">&#39;us&#39;</span><span class="p">)))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">second</span><span class="p">(</span><span class="n">ts</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">45</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.sha1">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">sha1</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.sha1" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">sha1</span></code>: SHA-1 hash as a hex string.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;s&quot;</span><span class="p">:</span> <span class="p">[</span><span class="s2">&quot;hello&quot;</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">sha1</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">col</span><span class="p">(</span><span class="s2">&quot;s&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">&#39;aaf4c61ddcc5e8a2dabede0f3b482cd9aea9434d&#39;</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.sha2">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">sha2</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">numBits</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.sha2" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">sha2</span></code>: SHA-2 family hash (224, 256, 384, 512). Bit length 0 = 256.</p>
<p><code class="docutils literal notranslate"><span class="pre">numBits</span></code> accepts a native <code class="docutils literal notranslate"><span class="pre">int</span></code> or an <code class="xref py py-class docutils literal notranslate"><span class="pre">Expr</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;s&quot;</span><span class="p">:</span> <span class="p">[</span><span class="s2">&quot;hello&quot;</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">sha2</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">col</span><span class="p">(</span><span class="s2">&quot;s&quot;</span><span class="p">),</span> <span class="mi">256</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">&#39;2cf24dba5fb0a30e26e83b2ac5b9e29e1b161e5c1fa7425e73043362938b9824&#39;</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.shiftleft">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">shiftleft</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">numBits</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.shiftleft" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">shiftleft</span></code>: <code class="docutils literal notranslate"><span class="pre">value</span></code> shifted left by <code class="docutils literal notranslate"><span class="pre">shift</span></code> bits.</p>
<p><code class="docutils literal notranslate"><span class="pre">numBits</span></code> accepts a native <code class="docutils literal notranslate"><span class="pre">int</span></code> or an <code class="xref py py-class docutils literal notranslate"><span class="pre">Expr</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">shiftleft</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">1</span><span class="p">),</span> <span class="mi">3</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">8</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.shiftright">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">shiftright</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">numBits</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.shiftright" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">shiftright</span></code>: arithmetic right shift.</p>
<p><code class="docutils literal notranslate"><span class="pre">numBits</span></code> accepts a native <code class="docutils literal notranslate"><span class="pre">int</span></code> or an <code class="xref py py-class docutils literal notranslate"><span class="pre">Expr</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">shiftright</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">8</span><span class="p">),</span> <span class="mi">2</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">2</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.shiftrightunsigned">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">shiftrightunsigned</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">numBits</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.shiftrightunsigned" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">shiftrightunsigned</span></code>: logical (unsigned) right shift.</p>
<p><code class="docutils literal notranslate"><span class="pre">numBits</span></code> accepts a native <code class="docutils literal notranslate"><span class="pre">int</span></code> or an <code class="xref py py-class docutils literal notranslate"><span class="pre">Expr</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">shiftrightunsigned</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">8</span><span class="p">),</span> <span class="mi">2</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">2</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.shuffle">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">shuffle</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.shuffle" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">shuffle</span></code>: returns a random permutation of the input array.</p>
<p><code class="docutils literal notranslate"><span class="pre">seed</span></code> is accepted for pyspark parity but is not yet wired through the
Rust binding; passing a non-<code class="docutils literal notranslate"><span class="pre">None</span></code> value raises <code class="docutils literal notranslate"><span class="pre">NotImplementedError</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">shuffle</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">1</span><span class="p">),</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">2</span><span class="p">),</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">3</span><span class="p">))</span>
<span class="gp">... </span> <span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)</span>
<span class="gp">... </span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="nb">sorted</span><span class="p">(</span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">())</span>
<span class="go">[1, 2, 3]</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.size">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">size</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.size" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">size</span></code>: length of an array or map.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">size</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">1</span><span class="p">),</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">2</span><span class="p">),</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">3</span><span class="p">))</span>
<span class="gp">... </span> <span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)</span>
<span class="gp">... </span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">3</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.slice">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">slice</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.slice" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">slice</span></code>: subset of the array from 1-indexed <code class="docutils literal notranslate"><span class="pre">start</span></code> with <code class="docutils literal notranslate"><span class="pre">length</span></code>.</p>
<p>Negative <code class="docutils literal notranslate"><span class="pre">start</span></code> counts from the end. <code class="docutils literal notranslate"><span class="pre">start</span></code> and <code class="docutils literal notranslate"><span class="pre">length</span></code> accept
native <code class="docutils literal notranslate"><span class="pre">int</span></code> values or <code class="xref py py-class docutils literal notranslate"><span class="pre">Expr</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">slice</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">array</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">1</span><span class="p">),</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">2</span><span class="p">),</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">3</span><span class="p">),</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">4</span><span class="p">)),</span>
<span class="gp">... </span> <span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span>
<span class="gp">... </span> <span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)</span>
<span class="gp">... </span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">[2, 3]</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.soundex">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">soundex</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.soundex" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">soundex</span></code>: Soundex phonetic code.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">soundex</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;Robert&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">&#39;R163&#39;</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.space">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">space</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.space" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">space</span></code>: string of n spaces.</p>
<p><code class="docutils literal notranslate"><span class="pre">col</span></code> accepts a native <code class="docutils literal notranslate"><span class="pre">int</span></code> or an <code class="xref py py-class docutils literal notranslate"><span class="pre">Expr</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">space</span><span class="p">(</span><span class="mi">3</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">&#39; &#39;</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.spark_cast">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">spark_cast</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">arg</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">type_str</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.spark_cast" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">cast</span></code>: cast <code class="docutils literal notranslate"><span class="pre">arg</span></code> to the type named by <code class="docutils literal notranslate"><span class="pre">type_str</span></code>.</p>
<p>Uses Spark cast semantics (e.g. overflow returns NULL, not error).
<code class="docutils literal notranslate"><span class="pre">type_str</span></code> accepts a native <code class="docutils literal notranslate"><span class="pre">str</span></code> or an <code class="xref py py-class docutils literal notranslate"><span class="pre">Expr</span></code>.</p>
<p>Currently only supports casting numeric values to <code class="docutils literal notranslate"><span class="pre">&quot;timestamp&quot;</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">spark_cast</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mi">1579098645</span><span class="p">),</span> <span class="s2">&quot;timestamp&quot;</span>
<span class="gp">... </span> <span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)</span>
<span class="gp">... </span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span><span class="o">.</span><span class="n">isoformat</span><span class="p">()</span>
<span class="go">&#39;2020-01-15T14:30:45+00:00&#39;</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.str_to_map">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">str_to_map</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">text</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">pairDelim</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keyValueDelim</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.str_to_map" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">str_to_map</span></code>: split text into key/value pairs using delimiters.</p>
<p>Delimiters default to <code class="docutils literal notranslate"><span class="pre">&quot;,&quot;</span></code> and <code class="docutils literal notranslate"><span class="pre">&quot;:&quot;</span></code> when omitted, matching pyspark.
Parameter names match <code class="docutils literal notranslate"><span class="pre">pyspark.sql.functions.str_to_map</span></code>; pyspark types
the delimiters as column-or-name, so a bare <code class="docutils literal notranslate"><span class="pre">str</span></code> is treated as a column
name. Pass <a class="reference internal" href="../../index.html#datafusion.lit" title="datafusion.lit"><code class="xref py py-func docutils literal notranslate"><span class="pre">lit()</span></code></a> for a literal delimiter.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">str_to_map</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;a:1,b:2&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">[(&#39;a&#39;, &#39;1&#39;), (&#39;b&#39;, &#39;2&#39;)]</span>
</pre></div>
</div>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">str_to_map</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;a=1;b=2&quot;</span><span class="p">),</span>
<span class="gp">... </span> <span class="n">pairDelim</span><span class="o">=</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;;&quot;</span><span class="p">),</span>
<span class="gp">... </span> <span class="n">keyValueDelim</span><span class="o">=</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;=&quot;</span><span class="p">),</span>
<span class="gp">... </span> <span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)</span>
<span class="gp">... </span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">[(&#39;a&#39;, &#39;1&#39;), (&#39;b&#39;, &#39;2&#39;)]</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.substring">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">substring</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">str</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">len</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.substring" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">substring</span></code>: 1-indexed substring starting at <code class="docutils literal notranslate"><span class="pre">pos</span></code> of given <code class="docutils literal notranslate"><span class="pre">length</span></code>.</p>
<p>Negative <code class="docutils literal notranslate"><span class="pre">pos</span></code> counts from the end. <code class="docutils literal notranslate"><span class="pre">pos</span></code> and <code class="docutils literal notranslate"><span class="pre">len</span></code> accept native
<code class="docutils literal notranslate"><span class="pre">int</span></code> values or <code class="xref py py-class docutils literal notranslate"><span class="pre">Expr</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">substring</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;hello&quot;</span><span class="p">),</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">&#39;hel&#39;</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.time_trunc">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">time_trunc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">unit</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.time_trunc" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">time_trunc</span></code>: truncate time value to unit <code class="docutils literal notranslate"><span class="pre">fmt</span></code>.</p>
<p>A bare <code class="docutils literal notranslate"><span class="pre">str</span></code> <code class="docutils literal notranslate"><span class="pre">unit</span></code> is treated as a column name (matching pyspark),
not a literal; pass <a class="reference internal" href="../../index.html#datafusion.lit" title="datafusion.lit"><code class="xref py py-func docutils literal notranslate"><span class="pre">lit()</span></code></a> for a literal unit.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span><span class="w"> </span><span class="nn">pyarrow</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pa</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span><span class="w"> </span><span class="nn">datetime</span><span class="w"> </span><span class="kn">import</span> <span class="n">time</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">t</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="n">pa</span><span class="o">.</span><span class="n">scalar</span><span class="p">(</span><span class="n">time</span><span class="p">(</span><span class="mi">14</span><span class="p">,</span> <span class="mi">30</span><span class="p">,</span> <span class="mi">45</span><span class="p">),</span> <span class="nb">type</span><span class="o">=</span><span class="n">pa</span><span class="o">.</span><span class="n">time64</span><span class="p">(</span><span class="s1">&#39;us&#39;</span><span class="p">)))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">time_trunc</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;hour&quot;</span><span class="p">),</span> <span class="n">t</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">datetime.time(14, 0)</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.to_utc_timestamp">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">to_utc_timestamp</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">timestamp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">tz</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.to_utc_timestamp" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">to_utc_timestamp</span></code>: interpret <code class="docutils literal notranslate"><span class="pre">ts</span></code> as <code class="docutils literal notranslate"><span class="pre">tz</span></code>, convert to UTC.</p>
<p><code class="docutils literal notranslate"><span class="pre">tz</span></code> accepts a native <code class="docutils literal notranslate"><span class="pre">str</span></code> or an <code class="xref py py-class docutils literal notranslate"><span class="pre">Expr</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span><span class="w"> </span><span class="nn">pyarrow</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pa</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span><span class="w"> </span><span class="nn">datetime</span><span class="w"> </span><span class="kn">import</span> <span class="n">datetime</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ts</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">pa</span><span class="o">.</span><span class="n">scalar</span><span class="p">(</span><span class="n">datetime</span><span class="p">(</span><span class="mi">2020</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">15</span><span class="p">,</span> <span class="mi">14</span><span class="p">,</span> <span class="mi">30</span><span class="p">,</span> <span class="mi">45</span><span class="p">),</span>
<span class="gp">... </span> <span class="nb">type</span><span class="o">=</span><span class="n">pa</span><span class="o">.</span><span class="n">timestamp</span><span class="p">(</span><span class="s1">&#39;us&#39;</span><span class="p">)))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">to_utc_timestamp</span><span class="p">(</span><span class="n">ts</span><span class="p">,</span> <span class="s2">&quot;UTC&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">datetime.datetime(2020, 1, 15, 14, 30, 45)</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.trunc">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">trunc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">date</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.trunc" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">trunc</span></code>: truncate date to unit <code class="docutils literal notranslate"><span class="pre">fmt</span></code>.</p>
<p><code class="docutils literal notranslate"><span class="pre">format</span></code> accepts a native <code class="docutils literal notranslate"><span class="pre">str</span></code> or an <code class="xref py py-class docutils literal notranslate"><span class="pre">Expr</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span><span class="w"> </span><span class="nn">pyarrow</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pa</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span><span class="w"> </span><span class="nn">datetime</span><span class="w"> </span><span class="kn">import</span> <span class="n">date</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="n">pa</span><span class="o">.</span><span class="n">scalar</span><span class="p">(</span><span class="n">date</span><span class="p">(</span><span class="mi">2020</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">15</span><span class="p">),</span> <span class="nb">type</span><span class="o">=</span><span class="n">pa</span><span class="o">.</span><span class="n">date32</span><span class="p">()))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">trunc</span><span class="p">(</span><span class="n">d</span><span class="p">,</span> <span class="s2">&quot;YEAR&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">datetime.date(2020, 1, 1)</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.try_parse_url">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">try_parse_url</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">url</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">partToExtract</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.try_parse_url" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">try_parse_url</span></code>: like <code class="docutils literal notranslate"><span class="pre">parse_url</span></code> but returns NULL on invalid URLs.</p>
<p>Bare <code class="docutils literal notranslate"><span class="pre">str</span></code> values for <code class="docutils literal notranslate"><span class="pre">partToExtract</span></code>/<code class="docutils literal notranslate"><span class="pre">key</span></code> are treated as column
names (matching pyspark); pass <a class="reference internal" href="../../index.html#datafusion.lit" title="datafusion.lit"><code class="xref py py-func docutils literal notranslate"><span class="pre">lit()</span></code></a> for a literal.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">try_parse_url</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;http://example.com/&quot;</span><span class="p">),</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;HOST&quot;</span><span class="p">)</span>
<span class="gp">... </span> <span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)</span>
<span class="gp">... </span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">&#39;example.com&#39;</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.try_sum">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">try_sum</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">distinct</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">order_by</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">datafusion.expr.SortKey</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">datafusion.expr.SortKey</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">null_treatment</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">datafusion.common.NullTreatment</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.try_sum" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">try_sum</span></code>: sum that returns NULL on overflow.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;a&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">aggregate</span><span class="p">(</span>
<span class="gp">... </span> <span class="p">[],</span> <span class="p">[</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">try_sum</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">col</span><span class="p">(</span><span class="s2">&quot;a&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">6</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.try_url_decode">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">try_url_decode</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">str</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.try_url_decode" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">try_url_decode</span></code>: like <code class="docutils literal notranslate"><span class="pre">url_decode</span></code>; returns NULL on invalid input.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">try_url_decode</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;a%20b&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">&#39;a b&#39;</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.unbase64">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">unbase64</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.unbase64" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">unbase64</span></code>: decode a base64 string to binary.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">unbase64</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;aGk=&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">b&#39;hi&#39;</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.unhex">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">unhex</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.unhex" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">unhex</span></code>: convert hexadecimal string to binary.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">unhex</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;FF&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">b&#39;\xff&#39;</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.unix_date">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">unix_date</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.unix_date" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">unix_date</span></code>: days since 1970-01-01 for <code class="docutils literal notranslate"><span class="pre">dt</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span><span class="w"> </span><span class="nn">pyarrow</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pa</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span><span class="w"> </span><span class="nn">datetime</span><span class="w"> </span><span class="kn">import</span> <span class="n">date</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="n">pa</span><span class="o">.</span><span class="n">scalar</span><span class="p">(</span><span class="n">date</span><span class="p">(</span><span class="mi">2020</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">15</span><span class="p">),</span> <span class="nb">type</span><span class="o">=</span><span class="n">pa</span><span class="o">.</span><span class="n">date32</span><span class="p">()))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">unix_date</span><span class="p">(</span><span class="n">d</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">18276</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.unix_micros">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">unix_micros</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.unix_micros" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">unix_micros</span></code>: microseconds since epoch for <code class="docutils literal notranslate"><span class="pre">ts</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span><span class="w"> </span><span class="nn">pyarrow</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pa</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span><span class="w"> </span><span class="nn">datetime</span><span class="w"> </span><span class="kn">import</span> <span class="n">datetime</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ts</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">pa</span><span class="o">.</span><span class="n">scalar</span><span class="p">(</span><span class="n">datetime</span><span class="p">(</span><span class="mi">2020</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">15</span><span class="p">,</span> <span class="mi">14</span><span class="p">,</span> <span class="mi">30</span><span class="p">,</span> <span class="mi">45</span><span class="p">),</span>
<span class="gp">... </span> <span class="nb">type</span><span class="o">=</span><span class="n">pa</span><span class="o">.</span><span class="n">timestamp</span><span class="p">(</span><span class="s1">&#39;us&#39;</span><span class="p">)))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">unix_micros</span><span class="p">(</span><span class="n">ts</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">1579098645000000</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.unix_millis">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">unix_millis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.unix_millis" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">unix_millis</span></code>: milliseconds since epoch for <code class="docutils literal notranslate"><span class="pre">ts</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span><span class="w"> </span><span class="nn">pyarrow</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pa</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span><span class="w"> </span><span class="nn">datetime</span><span class="w"> </span><span class="kn">import</span> <span class="n">datetime</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ts</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">pa</span><span class="o">.</span><span class="n">scalar</span><span class="p">(</span><span class="n">datetime</span><span class="p">(</span><span class="mi">2020</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">15</span><span class="p">,</span> <span class="mi">14</span><span class="p">,</span> <span class="mi">30</span><span class="p">,</span> <span class="mi">45</span><span class="p">),</span>
<span class="gp">... </span> <span class="nb">type</span><span class="o">=</span><span class="n">pa</span><span class="o">.</span><span class="n">timestamp</span><span class="p">(</span><span class="s1">&#39;us&#39;</span><span class="p">)))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">unix_millis</span><span class="p">(</span><span class="n">ts</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">1579098645000</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.unix_seconds">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">unix_seconds</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.unix_seconds" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">unix_seconds</span></code>: seconds since epoch for <code class="docutils literal notranslate"><span class="pre">ts</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span><span class="w"> </span><span class="nn">pyarrow</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pa</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span><span class="w"> </span><span class="nn">datetime</span><span class="w"> </span><span class="kn">import</span> <span class="n">datetime</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">ts</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">pa</span><span class="o">.</span><span class="n">scalar</span><span class="p">(</span><span class="n">datetime</span><span class="p">(</span><span class="mi">2020</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">15</span><span class="p">,</span> <span class="mi">14</span><span class="p">,</span> <span class="mi">30</span><span class="p">,</span> <span class="mi">45</span><span class="p">),</span>
<span class="gp">... </span> <span class="nb">type</span><span class="o">=</span><span class="n">pa</span><span class="o">.</span><span class="n">timestamp</span><span class="p">(</span><span class="s1">&#39;us&#39;</span><span class="p">)))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">unix_seconds</span><span class="p">(</span><span class="n">ts</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">1579098645</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.url_decode">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">url_decode</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">str</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.url_decode" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">url_decode</span></code>: decode an application/x-www-form-urlencoded string.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">url_decode</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;a%20b&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">&#39;a b&#39;</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.url_encode">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">url_encode</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">str</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.url_encode" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">url_encode</span></code>: encode a string in application/x-www-form-urlencoded.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">url_encode</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;a b&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">&#39;a+b&#39;</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.width_bucket">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">width_bucket</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">v</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">min</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">max</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">numBucket</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.width_bucket" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">width_bucket</span></code>: bucket number for <code class="docutils literal notranslate"><span class="pre">value</span></code> in equi-width histogram.</p>
<p><code class="docutils literal notranslate"><span class="pre">numBucket</span></code> accepts a native <code class="docutils literal notranslate"><span class="pre">int</span></code> or an <code class="xref py py-class docutils literal notranslate"><span class="pre">Expr</span></code>.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">width_bucket</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mf">5.0</span><span class="p">),</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mf">0.0</span><span class="p">),</span> <span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="mf">10.0</span><span class="p">),</span> <span class="mi">5</span>
<span class="gp">... </span> <span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)</span>
<span class="gp">... </span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">3</span>
</pre></div>
</div>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="datafusion.functions.spark.xxhash64">
<span class="sig-prename descclassname"><span class="pre">datafusion.functions.spark.</span></span><span class="sig-name descname"><span class="pre">xxhash64</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">cols</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="../../expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.functions.spark.xxhash64" title="Link to this definition">#</a></dt>
<dd><p>Spark <code class="docutils literal notranslate"><span class="pre">xxhash64</span></code>: 64-bit xxHash of the arguments.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
<span class="gp">... </span> <span class="n">dfn</span><span class="o">.</span><span class="n">functions</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">xxhash64</span><span class="p">(</span><span class="n">dfn</span><span class="o">.</span><span class="n">lit</span><span class="p">(</span><span class="s2">&quot;hello&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">r</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span><span class="s2">&quot;v&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
<span class="go">-4367754540140381902</span>
</pre></div>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-contents">Module Contents</a><ul class="visible nav section-nav flex-column">
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.abs"><code class="docutils literal notranslate"><span class="pre">abs()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.add_months"><code class="docutils literal notranslate"><span class="pre">add_months()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.array"><code class="docutils literal notranslate"><span class="pre">array()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.array_contains"><code class="docutils literal notranslate"><span class="pre">array_contains()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.array_repeat"><code class="docutils literal notranslate"><span class="pre">array_repeat()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.ascii"><code class="docutils literal notranslate"><span class="pre">ascii()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.avg"><code class="docutils literal notranslate"><span class="pre">avg()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.base64"><code class="docutils literal notranslate"><span class="pre">base64()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.bin"><code class="docutils literal notranslate"><span class="pre">bin()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.bit_count"><code class="docutils literal notranslate"><span class="pre">bit_count()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.bit_get"><code class="docutils literal notranslate"><span class="pre">bit_get()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.bitmap_bit_position"><code class="docutils literal notranslate"><span class="pre">bitmap_bit_position()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.bitmap_bucket_number"><code class="docutils literal notranslate"><span class="pre">bitmap_bucket_number()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.bitmap_count"><code class="docutils literal notranslate"><span class="pre">bitmap_count()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.bitwise_not"><code class="docutils literal notranslate"><span class="pre">bitwise_not()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.ceil"><code class="docutils literal notranslate"><span class="pre">ceil()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.char"><code class="docutils literal notranslate"><span class="pre">char()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.collect_list"><code class="docutils literal notranslate"><span class="pre">collect_list()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.collect_set"><code class="docutils literal notranslate"><span class="pre">collect_set()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.concat"><code class="docutils literal notranslate"><span class="pre">concat()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.crc32"><code class="docutils literal notranslate"><span class="pre">crc32()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.csc"><code class="docutils literal notranslate"><span class="pre">csc()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.date_add"><code class="docutils literal notranslate"><span class="pre">date_add()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.date_diff"><code class="docutils literal notranslate"><span class="pre">date_diff()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.date_part"><code class="docutils literal notranslate"><span class="pre">date_part()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.date_sub"><code class="docutils literal notranslate"><span class="pre">date_sub()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.date_trunc"><code class="docutils literal notranslate"><span class="pre">date_trunc()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.elt"><code class="docutils literal notranslate"><span class="pre">elt()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.expm1"><code class="docutils literal notranslate"><span class="pre">expm1()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.factorial"><code class="docutils literal notranslate"><span class="pre">factorial()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.floor"><code class="docutils literal notranslate"><span class="pre">floor()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.format_string"><code class="docutils literal notranslate"><span class="pre">format_string()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.from_utc_timestamp"><code class="docutils literal notranslate"><span class="pre">from_utc_timestamp()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.hex"><code class="docutils literal notranslate"><span class="pre">hex()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.hour"><code class="docutils literal notranslate"><span class="pre">hour()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.if_"><code class="docutils literal notranslate"><span class="pre">if_()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.ilike"><code class="docutils literal notranslate"><span class="pre">ilike()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.is_valid_utf8"><code class="docutils literal notranslate"><span class="pre">is_valid_utf8()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.json_tuple"><code class="docutils literal notranslate"><span class="pre">json_tuple()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.last_day"><code class="docutils literal notranslate"><span class="pre">last_day()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.length"><code class="docutils literal notranslate"><span class="pre">length()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.like"><code class="docutils literal notranslate"><span class="pre">like()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.luhn_check"><code class="docutils literal notranslate"><span class="pre">luhn_check()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.make_dt_interval"><code class="docutils literal notranslate"><span class="pre">make_dt_interval()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.make_interval"><code class="docutils literal notranslate"><span class="pre">make_interval()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.make_valid_utf8"><code class="docutils literal notranslate"><span class="pre">make_valid_utf8()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.map_from_arrays"><code class="docutils literal notranslate"><span class="pre">map_from_arrays()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.map_from_entries"><code class="docutils literal notranslate"><span class="pre">map_from_entries()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.minute"><code class="docutils literal notranslate"><span class="pre">minute()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.modulus"><code class="docutils literal notranslate"><span class="pre">modulus()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.negative"><code class="docutils literal notranslate"><span class="pre">negative()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.next_day"><code class="docutils literal notranslate"><span class="pre">next_day()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.parse_url"><code class="docutils literal notranslate"><span class="pre">parse_url()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.pmod"><code class="docutils literal notranslate"><span class="pre">pmod()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.rint"><code class="docutils literal notranslate"><span class="pre">rint()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.round"><code class="docutils literal notranslate"><span class="pre">round()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.sec"><code class="docutils literal notranslate"><span class="pre">sec()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.second"><code class="docutils literal notranslate"><span class="pre">second()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.sha1"><code class="docutils literal notranslate"><span class="pre">sha1()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.sha2"><code class="docutils literal notranslate"><span class="pre">sha2()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.shiftleft"><code class="docutils literal notranslate"><span class="pre">shiftleft()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.shiftright"><code class="docutils literal notranslate"><span class="pre">shiftright()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.shiftrightunsigned"><code class="docutils literal notranslate"><span class="pre">shiftrightunsigned()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.shuffle"><code class="docutils literal notranslate"><span class="pre">shuffle()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.size"><code class="docutils literal notranslate"><span class="pre">size()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.slice"><code class="docutils literal notranslate"><span class="pre">slice()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.soundex"><code class="docutils literal notranslate"><span class="pre">soundex()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.space"><code class="docutils literal notranslate"><span class="pre">space()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.spark_cast"><code class="docutils literal notranslate"><span class="pre">spark_cast()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.str_to_map"><code class="docutils literal notranslate"><span class="pre">str_to_map()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.substring"><code class="docutils literal notranslate"><span class="pre">substring()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.time_trunc"><code class="docutils literal notranslate"><span class="pre">time_trunc()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.to_utc_timestamp"><code class="docutils literal notranslate"><span class="pre">to_utc_timestamp()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.trunc"><code class="docutils literal notranslate"><span class="pre">trunc()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.try_parse_url"><code class="docutils literal notranslate"><span class="pre">try_parse_url()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.try_sum"><code class="docutils literal notranslate"><span class="pre">try_sum()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.try_url_decode"><code class="docutils literal notranslate"><span class="pre">try_url_decode()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.unbase64"><code class="docutils literal notranslate"><span class="pre">unbase64()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.unhex"><code class="docutils literal notranslate"><span class="pre">unhex()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.unix_date"><code class="docutils literal notranslate"><span class="pre">unix_date()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.unix_micros"><code class="docutils literal notranslate"><span class="pre">unix_micros()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.unix_millis"><code class="docutils literal notranslate"><span class="pre">unix_millis()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.unix_seconds"><code class="docutils literal notranslate"><span class="pre">unix_seconds()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.url_decode"><code class="docutils literal notranslate"><span class="pre">url_decode()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.url_encode"><code class="docutils literal notranslate"><span class="pre">url_encode()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.width_bucket"><code class="docutils literal notranslate"><span class="pre">width_bucket()</span></code></a></li>
<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.functions.spark.xxhash64"><code class="docutils literal notranslate"><span class="pre">xxhash64()</span></code></a></li>
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