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| <section id="pyarrow-dataset-partitioning"> |
| <h1>pyarrow.dataset.partitioning<a class="headerlink" href="#pyarrow-dataset-partitioning" title="Permalink to this heading">#</a></h1> |
| <dl class="py function"> |
| <dt class="sig sig-object py" id="pyarrow.dataset.partitioning"> |
| <span class="sig-prename descclassname"><span class="pre">pyarrow.dataset.</span></span><span class="sig-name descname"><span class="pre">partitioning</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">schema</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">field_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">flavor</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dictionaries</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/pyarrow/dataset.html#partitioning"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyarrow.dataset.partitioning" title="Permalink to this definition">#</a></dt> |
| <dd><p>Specify a partitioning scheme.</p> |
| <p>The supported schemes include:</p> |
| <ul class="simple"> |
| <li><p>“DirectoryPartitioning”: this scheme expects one segment in the file path |
| for each field in the specified schema (all fields are required to be |
| present). For example given schema<year:int16, month:int8> the path |
| “/2009/11” would be parsed to (“year”_ == 2009 and “month”_ == 11).</p></li> |
| <li><p>“HivePartitioning”: a scheme for “/$key=$value/” nested directories as |
| found in Apache Hive. This is a multi-level, directory based partitioning |
| scheme. Data is partitioned by static values of a particular column in |
| the schema. Partition keys are represented in the form $key=$value in |
| directory names. Field order is ignored, as are missing or unrecognized |
| field names. |
| For example, given schema<year:int16, month:int8, day:int8>, a possible |
| path would be “/year=2009/month=11/day=15” (but the field order does not |
| need to match).</p></li> |
| <li><p>“FilenamePartitioning”: this scheme expects the partitions will have |
| filenames containing the field values separated by “_”. |
| For example, given schema<year:int16, month:int8, day:int8>, a possible |
| partition filename “2009_11_part-0.parquet” would be parsed |
| to (“year”_ == 2009 and “month”_ == 11).</p></li> |
| </ul> |
| <dl class="field-list"> |
| <dt class="field-odd">Parameters<span class="colon">:</span></dt> |
| <dd class="field-odd"><dl> |
| <dt><strong>schema</strong><span class="classifier"><a class="reference internal" href="pyarrow.Schema.html#pyarrow.Schema" title="pyarrow.Schema"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pyarrow.Schema</span></code></a>, default <a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">None</span></code></a></span></dt><dd><p>The schema that describes the partitions present in the file path. |
| If not specified, and <cite>field_names</cite> and/or <cite>flavor</cite> are specified, |
| the schema will be inferred from the file path (and a |
| PartitioningFactory is returned).</p> |
| </dd> |
| <dt><strong>field_names</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">list</span></code></a> of <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">str</span></code></a>, default <a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">None</span></code></a></span></dt><dd><p>A list of strings (field names). If specified, the schema’s types are |
| inferred from the file paths (only valid for DirectoryPartitioning).</p> |
| </dd> |
| <dt><strong>flavor</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">str</span></code></a>, default <a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">None</span></code></a></span></dt><dd><p>The default is DirectoryPartitioning. Specify <code class="docutils literal notranslate"><span class="pre">flavor="hive"</span></code> for |
| a HivePartitioning, and <code class="docutils literal notranslate"><span class="pre">flavor="filename"</span></code> for a |
| FilenamePartitioning.</p> |
| </dd> |
| <dt><strong>dictionaries</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">dict</span></code></a>[<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">str</span></code></a>, <a class="reference internal" href="pyarrow.Array.html#pyarrow.Array" title="pyarrow.Array"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Array</span></code></a>]</span></dt><dd><p>If the type of any field of <cite>schema</cite> is a dictionary type, the |
| corresponding entry of <cite>dictionaries</cite> must be an array containing |
| every value which may be taken by the corresponding column or an |
| error will be raised in parsing. Alternatively, pass <cite>infer</cite> to have |
| Arrow discover the dictionary values, in which case a |
| PartitioningFactory is returned.</p> |
| </dd> |
| </dl> |
| </dd> |
| <dt class="field-even">Returns<span class="colon">:</span></dt> |
| <dd class="field-even"><dl class="simple"> |
| <dt><a class="reference internal" href="pyarrow.dataset.Partitioning.html#pyarrow.dataset.Partitioning" title="pyarrow.dataset.Partitioning"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Partitioning</span></code></a> or <a class="reference internal" href="pyarrow.dataset.PartitioningFactory.html#pyarrow.dataset.PartitioningFactory" title="pyarrow.dataset.PartitioningFactory"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PartitioningFactory</span></code></a></dt><dd><p>The partitioning scheme</p> |
| </dd> |
| </dl> |
| </dd> |
| </dl> |
| <p class="rubric">Examples</p> |
| <p>Specify the Schema for paths like “/2009/June”:</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">import</span> <span class="nn">pyarrow</span> <span class="k">as</span> <span class="nn">pa</span> |
| <span class="gp">>>> </span><span class="kn">import</span> <span class="nn">pyarrow.dataset</span> <span class="k">as</span> <span class="nn">ds</span> |
| <span class="gp">>>> </span><span class="n">part</span> <span class="o">=</span> <span class="n">ds</span><span class="o">.</span><span class="n">partitioning</span><span class="p">(</span><span class="n">pa</span><span class="o">.</span><span class="n">schema</span><span class="p">([(</span><span class="s2">"year"</span><span class="p">,</span> <span class="n">pa</span><span class="o">.</span><span class="n">int16</span><span class="p">()),</span> |
| <span class="gp">... </span> <span class="p">(</span><span class="s2">"month"</span><span class="p">,</span> <span class="n">pa</span><span class="o">.</span><span class="n">string</span><span class="p">())]))</span> |
| </pre></div> |
| </div> |
| <p>or let the types be inferred by only specifying the field names:</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">part</span> <span class="o">=</span> <span class="n">ds</span><span class="o">.</span><span class="n">partitioning</span><span class="p">(</span><span class="n">field_names</span><span class="o">=</span><span class="p">[</span><span class="s2">"year"</span><span class="p">,</span> <span class="s2">"month"</span><span class="p">])</span> |
| </pre></div> |
| </div> |
| <p>For paths like “/2009/June”, the year will be inferred as int32 while month |
| will be inferred as string.</p> |
| <p>Specify a Schema with dictionary encoding, providing dictionary values:</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">part</span> <span class="o">=</span> <span class="n">ds</span><span class="o">.</span><span class="n">partitioning</span><span class="p">(</span> |
| <span class="gp">... </span> <span class="n">pa</span><span class="o">.</span><span class="n">schema</span><span class="p">([</span> |
| <span class="gp">... </span> <span class="p">(</span><span class="s2">"year"</span><span class="p">,</span> <span class="n">pa</span><span class="o">.</span><span class="n">int16</span><span class="p">()),</span> |
| <span class="gp">... </span> <span class="p">(</span><span class="s2">"month"</span><span class="p">,</span> <span class="n">pa</span><span class="o">.</span><span class="n">dictionary</span><span class="p">(</span><span class="n">pa</span><span class="o">.</span><span class="n">int8</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="gp">... </span> <span class="p">]),</span> |
| <span class="gp">... </span> <span class="n">dictionaries</span><span class="o">=</span><span class="p">{</span> |
| <span class="gp">... </span> <span class="s2">"month"</span><span class="p">:</span> <span class="n">pa</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="s2">"January"</span><span class="p">,</span> <span class="s2">"February"</span><span class="p">,</span> <span class="s2">"March"</span><span class="p">]),</span> |
| <span class="gp">... </span> <span class="p">})</span> |
| </pre></div> |
| </div> |
| <p>Alternatively, specify a Schema with dictionary encoding, but have Arrow |
| infer the dictionary values:</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">part</span> <span class="o">=</span> <span class="n">ds</span><span class="o">.</span><span class="n">partitioning</span><span class="p">(</span> |
| <span class="gp">... </span> <span class="n">pa</span><span class="o">.</span><span class="n">schema</span><span class="p">([</span> |
| <span class="gp">... </span> <span class="p">(</span><span class="s2">"year"</span><span class="p">,</span> <span class="n">pa</span><span class="o">.</span><span class="n">int16</span><span class="p">()),</span> |
| <span class="gp">... </span> <span class="p">(</span><span class="s2">"month"</span><span class="p">,</span> <span class="n">pa</span><span class="o">.</span><span class="n">dictionary</span><span class="p">(</span><span class="n">pa</span><span class="o">.</span><span class="n">int8</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="gp">... </span> <span class="p">]),</span> |
| <span class="gp">... </span> <span class="n">dictionaries</span><span class="o">=</span><span class="s2">"infer"</span><span class="p">)</span> |
| </pre></div> |
| </div> |
| <p>Create a Hive scheme for a path like “/year=2009/month=11”:</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">part</span> <span class="o">=</span> <span class="n">ds</span><span class="o">.</span><span class="n">partitioning</span><span class="p">(</span> |
| <span class="gp">... </span> <span class="n">pa</span><span class="o">.</span><span class="n">schema</span><span class="p">([(</span><span class="s2">"year"</span><span class="p">,</span> <span class="n">pa</span><span class="o">.</span><span class="n">int16</span><span class="p">()),</span> <span class="p">(</span><span class="s2">"month"</span><span class="p">,</span> <span class="n">pa</span><span class="o">.</span><span class="n">int8</span><span class="p">())]),</span> |
| <span class="gp">... </span> <span class="n">flavor</span><span class="o">=</span><span class="s2">"hive"</span><span class="p">)</span> |
| </pre></div> |
| </div> |
| <p>A Hive scheme can also be discovered from the directory structure (and |
| types will be inferred):</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">part</span> <span class="o">=</span> <span class="n">ds</span><span class="o">.</span><span class="n">partitioning</span><span class="p">(</span><span class="n">flavor</span><span class="o">=</span><span class="s2">"hive"</span><span class="p">)</span> |
| </pre></div> |
| </div> |
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