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| <section id="pyarrow-parquet-write-table"> |
| <h1>pyarrow.parquet.write_table<a class="headerlink" href="#pyarrow-parquet-write-table" title="Permalink to this heading">#</a></h1> |
| <dl class="py function"> |
| <dt class="sig sig-object py" id="pyarrow.parquet.write_table"> |
| <span class="sig-prename descclassname"><span class="pre">pyarrow.parquet.</span></span><span class="sig-name descname"><span class="pre">write_table</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">table</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">where</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">row_group_size</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">version</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'2.6'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_dictionary</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">compression</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'snappy'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">write_statistics</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_deprecated_int96_timestamps</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">coerce_timestamps</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">allow_truncated_timestamps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_page_size</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">filesystem</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">compression_level</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">use_byte_stream_split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">column_encoding</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">data_page_version</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'1.0'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_compliant_nested_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">encryption_properties</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">write_batch_size</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">dictionary_pagesize_limit</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">store_schema</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">write_page_index</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">write_page_checksum</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sorting_columns</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="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/pyarrow/parquet/core.html#write_table"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyarrow.parquet.write_table" title="Permalink to this definition">#</a></dt> |
| <dd><p>Write a Table to Parquet format.</p> |
| <dl class="field-list"> |
| <dt class="field-odd">Parameters<span class="colon">:</span></dt> |
| <dd class="field-odd"><dl> |
| <dt><strong>table</strong><span class="classifier"><a class="reference internal" href="pyarrow.Table.html#pyarrow.Table" title="pyarrow.Table"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pyarrow.Table</span></code></a></span></dt><dd></dd> |
| <dt><strong>where</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> or <a class="reference internal" href="pyarrow.NativeFile.html#pyarrow.NativeFile" title="pyarrow.NativeFile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pyarrow.NativeFile</span></code></a></span></dt><dd></dd> |
| <dt><strong>row_group_size</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">int</span></code></a></span></dt><dd><p>Maximum number of rows in each written row group. If None, the |
| row group size will be the minimum of the Table size and |
| 1024 * 1024.</p> |
| </dd> |
| <dt><strong>version</strong><span class="classifier">{“1.0”, “2.4”, “2.6”}, default “2.6”</span></dt><dd><p>Determine which Parquet logical types are available for use, whether the |
| reduced set from the Parquet 1.x.x format or the expanded logical types |
| added in later format versions. |
| Files written with version=’2.4’ or ‘2.6’ may not be readable in all |
| Parquet implementations, so version=’1.0’ is likely the choice that |
| maximizes file compatibility. |
| UINT32 and some logical types are only available with version ‘2.4’. |
| Nanosecond timestamps are only available with version ‘2.6’. |
| Other features such as compression algorithms or the new serialized |
| data page format must be enabled separately (see ‘compression’ and |
| ‘data_page_version’).</p> |
| </dd> |
| <dt><strong>use_dictionary</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#bltin-boolean-values" title="(in Python v3.12)"><span class="xref std std-ref">bool</span></a> or <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>, default <a class="reference external" href="https://docs.python.org/3/library/constants.html#True" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">True</span></code></a></span></dt><dd><p>Specify if we should use dictionary encoding in general or only for |
| some columns. |
| When encoding the column, if the dictionary size is too large, the |
| column will fallback to <code class="docutils literal notranslate"><span class="pre">PLAIN</span></code> encoding. Specially, <code class="docutils literal notranslate"><span class="pre">BOOLEAN</span></code> type |
| doesn’t support dictionary encoding.</p> |
| </dd> |
| <dt><strong>compression</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> or <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>, default ‘snappy’</span></dt><dd><p>Specify the compression codec, either on a general basis or per-column. |
| Valid values: {‘NONE’, ‘SNAPPY’, ‘GZIP’, ‘BROTLI’, ‘LZ4’, ‘ZSTD’}.</p> |
| </dd> |
| <dt><strong>write_statistics</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#bltin-boolean-values" title="(in Python v3.12)"><span class="xref std std-ref">bool</span></a> or <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>, default <a class="reference external" href="https://docs.python.org/3/library/constants.html#True" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">True</span></code></a></span></dt><dd><p>Specify if we should write statistics in general (default is True) or only |
| for some columns.</p> |
| </dd> |
| <dt><strong>use_deprecated_int96_timestamps</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#bltin-boolean-values" title="(in Python v3.12)"><span class="xref std std-ref">bool</span></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>Write timestamps to INT96 Parquet format. Defaults to False unless enabled |
| by flavor argument. This take priority over the coerce_timestamps option.</p> |
| </dd> |
| <dt><strong>coerce_timestamps</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>Cast timestamps to a particular resolution. If omitted, defaults are chosen |
| depending on <cite>version</cite>. By default, for <code class="docutils literal notranslate"><span class="pre">version='1.0'</span></code> (the default) |
| and <code class="docutils literal notranslate"><span class="pre">version='2.4'</span></code>, nanoseconds are cast to microseconds (‘us’), while |
| for other <cite>version</cite> values, they are written natively without loss |
| of resolution. Seconds are always cast to milliseconds (‘ms’) by default, |
| as Parquet does not have any temporal type with seconds resolution. |
| If the casting results in loss of data, it will raise an exception |
| unless <code class="docutils literal notranslate"><span class="pre">allow_truncated_timestamps=True</span></code> is given. |
| Valid values: {None, ‘ms’, ‘us’}</p> |
| </dd> |
| <dt><strong>allow_truncated_timestamps</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#bltin-boolean-values" title="(in Python v3.12)"><span class="xref std std-ref">bool</span></a>, default <a class="reference external" href="https://docs.python.org/3/library/constants.html#False" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">False</span></code></a></span></dt><dd><p>Allow loss of data when coercing timestamps to a particular |
| resolution. E.g. if microsecond or nanosecond data is lost when coercing to |
| ‘ms’, do not raise an exception. Passing <code class="docutils literal notranslate"><span class="pre">allow_truncated_timestamp=True</span></code> |
| will NOT result in the truncation exception being ignored unless |
| <code class="docutils literal notranslate"><span class="pre">coerce_timestamps</span></code> is not None.</p> |
| </dd> |
| <dt><strong>data_page_size</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">int</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>Set a target threshold for the approximate encoded size of data |
| pages within a column chunk (in bytes). If None, use the default data page |
| size of 1MByte.</p> |
| </dd> |
| <dt><strong>flavor</strong><span class="classifier">{‘spark’}, 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>Sanitize schema or set other compatibility options to work with |
| various target systems.</p> |
| </dd> |
| <dt><strong>filesystem</strong><span class="classifier"><a class="reference internal" href="pyarrow.fs.FileSystem.html#pyarrow.fs.FileSystem" title="pyarrow.fs.FileSystem"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FileSystem</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>If nothing passed, will be inferred from <cite>where</cite> if path-like, else |
| <cite>where</cite> is already a file-like object so no filesystem is needed.</p> |
| </dd> |
| <dt><strong>compression_level</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">int</span></code></a> or <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>, 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>Specify the compression level for a codec, either on a general basis or |
| per-column. If None is passed, arrow selects the compression level for |
| the compression codec in use. The compression level has a different |
| meaning for each codec, so you have to read the documentation of the |
| codec you are using. |
| An exception is thrown if the compression codec does not allow specifying |
| a compression level.</p> |
| </dd> |
| <dt><strong>use_byte_stream_split</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#bltin-boolean-values" title="(in Python v3.12)"><span class="xref std std-ref">bool</span></a> or <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>, default <a class="reference external" href="https://docs.python.org/3/library/constants.html#False" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">False</span></code></a></span></dt><dd><p>Specify if the byte_stream_split encoding should be used in general or |
| only for some columns. If both dictionary and byte_stream_stream are |
| enabled, then dictionary is preferred. |
| The byte_stream_split encoding is valid only for floating-point data types |
| and should be combined with a compression codec.</p> |
| </dd> |
| <dt><strong>column_encoding</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> or <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>, 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>Specify the encoding scheme on a per column basis. |
| Can only be used when <code class="docutils literal notranslate"><span class="pre">use_dictionary</span></code> is set to False, and |
| cannot be used in combination with <code class="docutils literal notranslate"><span class="pre">use_byte_stream_split</span></code>. |
| Currently supported values: {‘PLAIN’, ‘BYTE_STREAM_SPLIT’, |
| ‘DELTA_BINARY_PACKED’, ‘DELTA_LENGTH_BYTE_ARRAY’, ‘DELTA_BYTE_ARRAY’}. |
| Certain encodings are only compatible with certain data types. |
| Please refer to the encodings section of <a class="reference external" href="https://arrow.apache.org/docs/cpp/parquet.html#encodings">Reading and writing Parquet |
| files</a>.</p> |
| </dd> |
| <dt><strong>data_page_version</strong><span class="classifier">{“1.0”, “2.0”}, default “1.0”</span></dt><dd><p>The serialized Parquet data page format version to write, defaults to |
| 1.0. This does not impact the file schema logical types and Arrow to |
| Parquet type casting behavior; for that use the “version” option.</p> |
| </dd> |
| <dt><strong>use_compliant_nested_type</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#bltin-boolean-values" title="(in Python v3.12)"><span class="xref std std-ref">bool</span></a>, default <a class="reference external" href="https://docs.python.org/3/library/constants.html#True" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">True</span></code></a></span></dt><dd><p>Whether to write compliant Parquet nested type (lists) as defined |
| <a class="reference external" href="https://github.com/apache/parquet-format/blob/master/LogicalTypes.md#nested-types">here</a>, defaults to <code class="docutils literal notranslate"><span class="pre">True</span></code>. |
| For <code class="docutils literal notranslate"><span class="pre">use_compliant_nested_type=True</span></code>, this will write into a list |
| with 3-level structure where the middle level, named <code class="docutils literal notranslate"><span class="pre">list</span></code>, |
| is a repeated group with a single field named <code class="docutils literal notranslate"><span class="pre">element</span></code>:</p> |
| <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="o"><</span><span class="nb">list</span><span class="o">-</span><span class="n">repetition</span><span class="o">></span> <span class="n">group</span> <span class="o"><</span><span class="n">name</span><span class="o">></span> <span class="p">(</span><span class="n">LIST</span><span class="p">)</span> <span class="p">{</span> |
| <span class="n">repeated</span> <span class="n">group</span> <span class="nb">list</span> <span class="p">{</span> |
| <span class="o"><</span><span class="n">element</span><span class="o">-</span><span class="n">repetition</span><span class="o">></span> <span class="o"><</span><span class="n">element</span><span class="o">-</span><span class="nb">type</span><span class="o">></span> <span class="n">element</span><span class="p">;</span> |
| <span class="p">}</span> |
| <span class="p">}</span> |
| </pre></div> |
| </div> |
| <p>For <code class="docutils literal notranslate"><span class="pre">use_compliant_nested_type=False</span></code>, this will also write into a list |
| with 3-level structure, where the name of the single field of the middle |
| level <code class="docutils literal notranslate"><span class="pre">list</span></code> is taken from the element name for nested columns in Arrow, |
| which defaults to <code class="docutils literal notranslate"><span class="pre">item</span></code>:</p> |
| <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="o"><</span><span class="nb">list</span><span class="o">-</span><span class="n">repetition</span><span class="o">></span> <span class="n">group</span> <span class="o"><</span><span class="n">name</span><span class="o">></span> <span class="p">(</span><span class="n">LIST</span><span class="p">)</span> <span class="p">{</span> |
| <span class="n">repeated</span> <span class="n">group</span> <span class="nb">list</span> <span class="p">{</span> |
| <span class="o"><</span><span class="n">element</span><span class="o">-</span><span class="n">repetition</span><span class="o">></span> <span class="o"><</span><span class="n">element</span><span class="o">-</span><span class="nb">type</span><span class="o">></span> <span class="n">item</span><span class="p">;</span> |
| <span class="p">}</span> |
| <span class="p">}</span> |
| </pre></div> |
| </div> |
| </dd> |
| <dt><strong>encryption_properties</strong><span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FileEncryptionProperties</span></code>, 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>File encryption properties for Parquet Modular Encryption. |
| If None, no encryption will be done. |
| The encryption properties can be created using: |
| <code class="docutils literal notranslate"><span class="pre">CryptoFactory.file_encryption_properties()</span></code>.</p> |
| </dd> |
| <dt><strong>write_batch_size</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">int</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>Number of values to write to a page at a time. If None, use the default of |
| 1024. <code class="docutils literal notranslate"><span class="pre">write_batch_size</span></code> is complementary to <code class="docutils literal notranslate"><span class="pre">data_page_size</span></code>. If pages |
| are exceeding the <code class="docutils literal notranslate"><span class="pre">data_page_size</span></code> due to large column values, lowering |
| the batch size can help keep page sizes closer to the intended size.</p> |
| </dd> |
| <dt><strong>dictionary_pagesize_limit</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">int</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>Specify the dictionary page size limit per row group. If None, use the |
| default 1MB.</p> |
| </dd> |
| <dt><strong>store_schema</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#bltin-boolean-values" title="(in Python v3.12)"><span class="xref std std-ref">bool</span></a>, default <a class="reference external" href="https://docs.python.org/3/library/constants.html#True" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">True</span></code></a></span></dt><dd><p>By default, the Arrow schema is serialized and stored in the Parquet |
| file metadata (in the “ARROW:schema” key). When reading the file, |
| if this key is available, it will be used to more faithfully recreate |
| the original Arrow data. For example, for tz-aware timestamp columns |
| it will restore the timezone (Parquet only stores the UTC values without |
| timezone), or columns with duration type will be restored from the int64 |
| Parquet column.</p> |
| </dd> |
| <dt><strong>write_page_index</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#bltin-boolean-values" title="(in Python v3.12)"><span class="xref std std-ref">bool</span></a>, default <a class="reference external" href="https://docs.python.org/3/library/constants.html#False" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">False</span></code></a></span></dt><dd><p>Whether to write a page index in general for all columns. |
| Writing statistics to the page index disables the old method of writing |
| statistics to each data page header. The page index makes statistics-based |
| filtering more efficient than the page header, as it gathers all the |
| statistics for a Parquet file in a single place, avoiding scattered I/O. |
| Note that the page index is not yet used on the read size by PyArrow.</p> |
| </dd> |
| <dt><strong>write_page_checksum</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#bltin-boolean-values" title="(in Python v3.12)"><span class="xref std std-ref">bool</span></a>, default <a class="reference external" href="https://docs.python.org/3/library/constants.html#False" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">False</span></code></a></span></dt><dd><p>Whether to write page checksums in general for all columns. |
| Page checksums enable detection of data corruption, which might occur during |
| transmission or in the storage.</p> |
| </dd> |
| <dt><strong>sorting_columns</strong><span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Sequence</span></code> of <a class="reference internal" href="pyarrow.parquet.SortingColumn.html#pyarrow.parquet.SortingColumn" title="pyarrow.parquet.SortingColumn"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SortingColumn</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>Specify the sort order of the data being written. The writer does not sort |
| the data nor does it verify that the data is sorted. The sort order is |
| written to the row group metadata, which can then be used by readers.</p> |
| </dd> |
| <dt><strong>**kwargs</strong><span class="classifier">optional</span></dt><dd><p>Additional options for ParquetWriter</p> |
| </dd> |
| </dl> |
| </dd> |
| </dl> |
| <p class="rubric">Examples</p> |
| <p>Generate an example PyArrow Table:</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="n">table</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">table</span><span class="p">({</span><span class="s1">'n_legs'</span><span class="p">:</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">4</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">100</span><span class="p">],</span> |
| <span class="gp">... </span> <span class="s1">'animal'</span><span class="p">:</span> <span class="p">[</span><span class="s2">"Flamingo"</span><span class="p">,</span> <span class="s2">"Parrot"</span><span class="p">,</span> <span class="s2">"Dog"</span><span class="p">,</span> <span class="s2">"Horse"</span><span class="p">,</span> |
| <span class="gp">... </span> <span class="s2">"Brittle stars"</span><span class="p">,</span> <span class="s2">"Centipede"</span><span class="p">]})</span> |
| </pre></div> |
| </div> |
| <p>and write the Table into Parquet file:</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.parquet</span> <span class="k">as</span> <span class="nn">pq</span> |
| <span class="gp">>>> </span><span class="n">pq</span><span class="o">.</span><span class="n">write_table</span><span class="p">(</span><span class="n">table</span><span class="p">,</span> <span class="s1">'example.parquet'</span><span class="p">)</span> |
| </pre></div> |
| </div> |
| <p>Defining row group size for the Parquet file:</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">pq</span><span class="o">.</span><span class="n">write_table</span><span class="p">(</span><span class="n">table</span><span class="p">,</span> <span class="s1">'example.parquet'</span><span class="p">,</span> <span class="n">row_group_size</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span> |
| </pre></div> |
| </div> |
| <p>Defining row group compression (default is Snappy):</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">pq</span><span class="o">.</span><span class="n">write_table</span><span class="p">(</span><span class="n">table</span><span class="p">,</span> <span class="s1">'example.parquet'</span><span class="p">,</span> <span class="n">compression</span><span class="o">=</span><span class="s1">'none'</span><span class="p">)</span> |
| </pre></div> |
| </div> |
| <p>Defining row group compression and encoding per-column:</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">pq</span><span class="o">.</span><span class="n">write_table</span><span class="p">(</span><span class="n">table</span><span class="p">,</span> <span class="s1">'example.parquet'</span><span class="p">,</span> |
| <span class="gp">... </span> <span class="n">compression</span><span class="o">=</span><span class="p">{</span><span class="s1">'n_legs'</span><span class="p">:</span> <span class="s1">'snappy'</span><span class="p">,</span> <span class="s1">'animal'</span><span class="p">:</span> <span class="s1">'gzip'</span><span class="p">},</span> |
| <span class="gp">... </span> <span class="n">use_dictionary</span><span class="o">=</span><span class="p">[</span><span class="s1">'n_legs'</span><span class="p">,</span> <span class="s1">'animal'</span><span class="p">])</span> |
| </pre></div> |
| </div> |
| <p>Defining column encoding per-column:</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">pq</span><span class="o">.</span><span class="n">write_table</span><span class="p">(</span><span class="n">table</span><span class="p">,</span> <span class="s1">'example.parquet'</span><span class="p">,</span> |
| <span class="gp">... </span> <span class="n">column_encoding</span><span class="o">=</span><span class="p">{</span><span class="s1">'animal'</span><span class="p">:</span><span class="s1">'PLAIN'</span><span class="p">},</span> |
| <span class="gp">... </span> <span class="n">use_dictionary</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> |
| </pre></div> |
| </div> |
| </dd></dl> |
| |
| </section> |
| |
| |
| </article> |
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