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| <section id="pyarrow-dataset-parquetfilefragment"> |
| <h1>pyarrow.dataset.ParquetFileFragment<a class="headerlink" href="#pyarrow-dataset-parquetfilefragment" title="Permalink to this heading">#</a></h1> |
| <dl class="py class"> |
| <dt class="sig sig-object py" id="pyarrow.dataset.ParquetFileFragment"> |
| <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyarrow.dataset.</span></span><span class="sig-name descname"><span class="pre">ParquetFileFragment</span></span><a class="headerlink" href="#pyarrow.dataset.ParquetFileFragment" title="Permalink to this definition">#</a></dt> |
| <dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">FileFragment</span></code></p> |
| <p>A Fragment representing a parquet file.</p> |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="pyarrow.dataset.ParquetFileFragment.__init__"> |
| <span class="sig-name descname"><span class="pre">__init__</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">args</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="headerlink" href="#pyarrow.dataset.ParquetFileFragment.__init__" title="Permalink to this definition">#</a></dt> |
| <dd></dd></dl> |
| |
| <p class="rubric">Methods</p> |
| <table class="autosummary longtable table autosummary"> |
| <tbody> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.dataset.ParquetFileFragment.__init__" title="pyarrow.dataset.ParquetFileFragment.__init__"><code class="xref py py-obj docutils literal notranslate"><span class="pre">__init__</span></code></a>(*args, **kwargs)</p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.dataset.ParquetFileFragment.count_rows" title="pyarrow.dataset.ParquetFileFragment.count_rows"><code class="xref py py-obj docutils literal notranslate"><span class="pre">count_rows</span></code></a>(self, Expression filter=None, ...)</p></td> |
| <td><p>Count rows matching the scanner filter.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.dataset.ParquetFileFragment.ensure_complete_metadata" title="pyarrow.dataset.ParquetFileFragment.ensure_complete_metadata"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ensure_complete_metadata</span></code></a>(self)</p></td> |
| <td><p>Ensure that all metadata (statistics, physical schema, ...) have been read and cached in this fragment.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.dataset.ParquetFileFragment.head" title="pyarrow.dataset.ParquetFileFragment.head"><code class="xref py py-obj docutils literal notranslate"><span class="pre">head</span></code></a>(self, int num_rows[, columns])</p></td> |
| <td><p>Load the first N rows of the fragment.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.dataset.ParquetFileFragment.open" title="pyarrow.dataset.ParquetFileFragment.open"><code class="xref py py-obj docutils literal notranslate"><span class="pre">open</span></code></a>(self)</p></td> |
| <td><p>Open a NativeFile of the buffer or file viewed by this fragment.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.dataset.ParquetFileFragment.scanner" title="pyarrow.dataset.ParquetFileFragment.scanner"><code class="xref py py-obj docutils literal notranslate"><span class="pre">scanner</span></code></a>(self, Schema schema=None[, columns])</p></td> |
| <td><p>Build a scan operation against the fragment.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.dataset.ParquetFileFragment.split_by_row_group" title="pyarrow.dataset.ParquetFileFragment.split_by_row_group"><code class="xref py py-obj docutils literal notranslate"><span class="pre">split_by_row_group</span></code></a>(self, ...)</p></td> |
| <td><p>Split the fragment into multiple fragments.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.dataset.ParquetFileFragment.subset" title="pyarrow.dataset.ParquetFileFragment.subset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">subset</span></code></a>(self, Expression filter=None, ...[, ...])</p></td> |
| <td><p>Create a subset of the fragment (viewing a subset of the row groups).</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.dataset.ParquetFileFragment.take" title="pyarrow.dataset.ParquetFileFragment.take"><code class="xref py py-obj docutils literal notranslate"><span class="pre">take</span></code></a>(self, indices[, columns])</p></td> |
| <td><p>Select rows of data by index.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.dataset.ParquetFileFragment.to_batches" title="pyarrow.dataset.ParquetFileFragment.to_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">to_batches</span></code></a>(self, Schema schema=None[, columns])</p></td> |
| <td><p>Read the fragment as materialized record batches.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.dataset.ParquetFileFragment.to_table" title="pyarrow.dataset.ParquetFileFragment.to_table"><code class="xref py py-obj docutils literal notranslate"><span class="pre">to_table</span></code></a>(self, Schema schema=None[, columns])</p></td> |
| <td><p>Convert this Fragment into a Table.</p></td> |
| </tr> |
| </tbody> |
| </table> |
| <p class="rubric">Attributes</p> |
| <table class="autosummary longtable table autosummary"> |
| <tbody> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.dataset.ParquetFileFragment.buffer" title="pyarrow.dataset.ParquetFileFragment.buffer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">buffer</span></code></a></p></td> |
| <td><p>The buffer viewed by this fragment, if it views a buffer.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.dataset.ParquetFileFragment.filesystem" title="pyarrow.dataset.ParquetFileFragment.filesystem"><code class="xref py py-obj docutils literal notranslate"><span class="pre">filesystem</span></code></a></p></td> |
| <td><p>The FileSystem containing the data file viewed by this fragment, if it views a file.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.dataset.ParquetFileFragment.format" title="pyarrow.dataset.ParquetFileFragment.format"><code class="xref py py-obj docutils literal notranslate"><span class="pre">format</span></code></a></p></td> |
| <td><p>The format of the data file viewed by this fragment.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.dataset.ParquetFileFragment.metadata" title="pyarrow.dataset.ParquetFileFragment.metadata"><code class="xref py py-obj docutils literal notranslate"><span class="pre">metadata</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.dataset.ParquetFileFragment.num_row_groups" title="pyarrow.dataset.ParquetFileFragment.num_row_groups"><code class="xref py py-obj docutils literal notranslate"><span class="pre">num_row_groups</span></code></a></p></td> |
| <td><p>Return the number of row groups viewed by this fragment (not the number of row groups in the origin file).</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.dataset.ParquetFileFragment.partition_expression" title="pyarrow.dataset.ParquetFileFragment.partition_expression"><code class="xref py py-obj docutils literal notranslate"><span class="pre">partition_expression</span></code></a></p></td> |
| <td><p>An Expression which evaluates to true for all data viewed by this Fragment.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.dataset.ParquetFileFragment.path" title="pyarrow.dataset.ParquetFileFragment.path"><code class="xref py py-obj docutils literal notranslate"><span class="pre">path</span></code></a></p></td> |
| <td><p>The path of the data file viewed by this fragment, if it views a file.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.dataset.ParquetFileFragment.physical_schema" title="pyarrow.dataset.ParquetFileFragment.physical_schema"><code class="xref py py-obj docutils literal notranslate"><span class="pre">physical_schema</span></code></a></p></td> |
| <td><p>Return the physical schema of this Fragment.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.dataset.ParquetFileFragment.row_groups" title="pyarrow.dataset.ParquetFileFragment.row_groups"><code class="xref py py-obj docutils literal notranslate"><span class="pre">row_groups</span></code></a></p></td> |
| <td><p></p></td> |
| </tr> |
| </tbody> |
| </table> |
| <dl class="py attribute"> |
| <dt class="sig sig-object py" id="pyarrow.dataset.ParquetFileFragment.buffer"> |
| <span class="sig-name descname"><span class="pre">buffer</span></span><a class="headerlink" href="#pyarrow.dataset.ParquetFileFragment.buffer" title="Permalink to this definition">#</a></dt> |
| <dd><p>The buffer viewed by this fragment, if it views a buffer. If |
| instead it views a file, this will be None.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="pyarrow.dataset.ParquetFileFragment.count_rows"> |
| <span class="sig-name descname"><span class="pre">count_rows</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">self</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Expression</span> <span class="pre">filter=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">int</span> <span class="pre">batch_size=_DEFAULT_BATCH_SIZE</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">int</span> <span class="pre">batch_readahead=_DEFAULT_BATCH_READAHEAD</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">int</span> <span class="pre">fragment_readahead=_DEFAULT_FRAGMENT_READAHEAD</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">FragmentScanOptions</span> <span class="pre">fragment_scan_options=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bool</span> <span class="pre">use_threads=True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">MemoryPool</span> <span class="pre">memory_pool=None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.dataset.ParquetFileFragment.count_rows" title="Permalink to this definition">#</a></dt> |
| <dd><p>Count rows matching the scanner filter.</p> |
| <dl class="field-list"> |
| <dt class="field-odd">Parameters<span class="colon">:</span></dt> |
| <dd class="field-odd"><dl> |
| <dt><strong>filter</strong><span class="classifier"><a class="reference internal" href="pyarrow.dataset.Expression.html#pyarrow.dataset.Expression" title="pyarrow.dataset.Expression"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Expression</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>Scan will return only the rows matching the filter. |
| If possible the predicate will be pushed down to exploit the |
| partition information or internal metadata found in the data |
| source, e.g. Parquet statistics. Otherwise filters the loaded |
| RecordBatches before yielding them.</p> |
| </dd> |
| <dt><strong>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 131_072</span></dt><dd><p>The maximum row count for scanned record batches. If scanned |
| record batches are overflowing memory then this method can be |
| called to reduce their size.</p> |
| </dd> |
| <dt><strong>batch_readahead</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 16</span></dt><dd><p>The number of batches to read ahead in a file. This might not work |
| for all file formats. Increasing this number will increase |
| RAM usage but could also improve IO utilization.</p> |
| </dd> |
| <dt><strong>fragment_readahead</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 4</span></dt><dd><p>The number of files to read ahead. Increasing this number will increase |
| RAM usage but could also improve IO utilization.</p> |
| </dd> |
| <dt><strong>fragment_scan_options</strong><span class="classifier"><a class="reference internal" href="pyarrow.dataset.FragmentScanOptions.html#pyarrow.dataset.FragmentScanOptions" title="pyarrow.dataset.FragmentScanOptions"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FragmentScanOptions</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>Options specific to a particular scan and fragment type, which |
| can change between different scans of the same dataset.</p> |
| </dd> |
| <dt><strong>use_threads</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>If enabled, then maximum parallelism will be used determined by |
| the number of available CPU cores.</p> |
| </dd> |
| <dt><strong>memory_pool</strong><span class="classifier"><a class="reference internal" href="pyarrow.MemoryPool.html#pyarrow.MemoryPool" title="pyarrow.MemoryPool"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MemoryPool</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>For memory allocations, if required. If not specified, uses the |
| default pool.</p> |
| </dd> |
| </dl> |
| </dd> |
| <dt class="field-even">Returns<span class="colon">:</span></dt> |
| <dd class="field-even"><dl> |
| <dt><strong>count</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></dd> |
| </dl> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="pyarrow.dataset.ParquetFileFragment.ensure_complete_metadata"> |
| <span class="sig-name descname"><span class="pre">ensure_complete_metadata</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">self</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.dataset.ParquetFileFragment.ensure_complete_metadata" title="Permalink to this definition">#</a></dt> |
| <dd><p>Ensure that all metadata (statistics, physical schema, …) have |
| been read and cached in this fragment.</p> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt class="sig sig-object py" id="pyarrow.dataset.ParquetFileFragment.filesystem"> |
| <span class="sig-name descname"><span class="pre">filesystem</span></span><a class="headerlink" href="#pyarrow.dataset.ParquetFileFragment.filesystem" title="Permalink to this definition">#</a></dt> |
| <dd><p>The FileSystem containing the data file viewed by this fragment, if |
| it views a file. If instead it views a buffer, this will be None.</p> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt class="sig sig-object py" id="pyarrow.dataset.ParquetFileFragment.format"> |
| <span class="sig-name descname"><span class="pre">format</span></span><a class="headerlink" href="#pyarrow.dataset.ParquetFileFragment.format" title="Permalink to this definition">#</a></dt> |
| <dd><p>The format of the data file viewed by this fragment.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="pyarrow.dataset.ParquetFileFragment.head"> |
| <span class="sig-name descname"><span class="pre">head</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">self</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">int</span> <span class="pre">num_rows</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">columns=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Expression</span> <span class="pre">filter=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">int</span> <span class="pre">batch_size=_DEFAULT_BATCH_SIZE</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">int</span> <span class="pre">batch_readahead=_DEFAULT_BATCH_READAHEAD</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">int</span> <span class="pre">fragment_readahead=_DEFAULT_FRAGMENT_READAHEAD</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">FragmentScanOptions</span> <span class="pre">fragment_scan_options=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bool</span> <span class="pre">use_threads=True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">MemoryPool</span> <span class="pre">memory_pool=None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.dataset.ParquetFileFragment.head" title="Permalink to this definition">#</a></dt> |
| <dd><p>Load the first N rows of the fragment.</p> |
| <dl class="field-list"> |
| <dt class="field-odd">Parameters<span class="colon">:</span></dt> |
| <dd class="field-odd"><dl> |
| <dt><strong>num_rows</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>The number of rows to load.</p> |
| </dd> |
| <dt><strong>columns</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>The columns to project. This can be a list of column names to |
| include (order and duplicates will be preserved), or a dictionary |
| with {new_column_name: expression} values for more advanced |
| projections.</p> |
| <p>The list of columns or expressions may use the special fields |
| <cite>__batch_index</cite> (the index of the batch within the fragment), |
| <cite>__fragment_index</cite> (the index of the fragment within the dataset), |
| <cite>__last_in_fragment</cite> (whether the batch is last in fragment), and |
| <cite>__filename</cite> (the name of the source file or a description of the |
| source fragment).</p> |
| <p>The columns will be passed down to Datasets and corresponding data |
| fragments to avoid loading, copying, and deserializing columns |
| that will not be required further down the compute chain. |
| By default all of the available columns are projected. Raises |
| an exception if any of the referenced column names does not exist |
| in the dataset’s Schema.</p> |
| </dd> |
| <dt><strong>filter</strong><span class="classifier"><a class="reference internal" href="pyarrow.dataset.Expression.html#pyarrow.dataset.Expression" title="pyarrow.dataset.Expression"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Expression</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>Scan will return only the rows matching the filter. |
| If possible the predicate will be pushed down to exploit the |
| partition information or internal metadata found in the data |
| source, e.g. Parquet statistics. Otherwise filters the loaded |
| RecordBatches before yielding them.</p> |
| </dd> |
| <dt><strong>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 131_072</span></dt><dd><p>The maximum row count for scanned record batches. If scanned |
| record batches are overflowing memory then this method can be |
| called to reduce their size.</p> |
| </dd> |
| <dt><strong>batch_readahead</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 16</span></dt><dd><p>The number of batches to read ahead in a file. This might not work |
| for all file formats. Increasing this number will increase |
| RAM usage but could also improve IO utilization.</p> |
| </dd> |
| <dt><strong>fragment_readahead</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 4</span></dt><dd><p>The number of files to read ahead. Increasing this number will increase |
| RAM usage but could also improve IO utilization.</p> |
| </dd> |
| <dt><strong>fragment_scan_options</strong><span class="classifier"><a class="reference internal" href="pyarrow.dataset.FragmentScanOptions.html#pyarrow.dataset.FragmentScanOptions" title="pyarrow.dataset.FragmentScanOptions"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FragmentScanOptions</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>Options specific to a particular scan and fragment type, which |
| can change between different scans of the same dataset.</p> |
| </dd> |
| <dt><strong>use_threads</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>If enabled, then maximum parallelism will be used determined by |
| the number of available CPU cores.</p> |
| </dd> |
| <dt><strong>memory_pool</strong><span class="classifier"><a class="reference internal" href="pyarrow.MemoryPool.html#pyarrow.MemoryPool" title="pyarrow.MemoryPool"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MemoryPool</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>For memory allocations, if required. If not specified, uses the |
| default pool.</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.Table.html#pyarrow.Table" title="pyarrow.Table"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Table</span></code></a></dt><dd></dd> |
| </dl> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt class="sig sig-object py" id="pyarrow.dataset.ParquetFileFragment.metadata"> |
| <span class="sig-name descname"><span class="pre">metadata</span></span><a class="headerlink" href="#pyarrow.dataset.ParquetFileFragment.metadata" title="Permalink to this definition">#</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py attribute"> |
| <dt class="sig sig-object py" id="pyarrow.dataset.ParquetFileFragment.num_row_groups"> |
| <span class="sig-name descname"><span class="pre">num_row_groups</span></span><a class="headerlink" href="#pyarrow.dataset.ParquetFileFragment.num_row_groups" title="Permalink to this definition">#</a></dt> |
| <dd><p>Return the number of row groups viewed by this fragment (not the |
| number of row groups in the origin file).</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="pyarrow.dataset.ParquetFileFragment.open"> |
| <span class="sig-name descname"><span class="pre">open</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">self</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.dataset.ParquetFileFragment.open" title="Permalink to this definition">#</a></dt> |
| <dd><p>Open a NativeFile of the buffer or file viewed by this fragment.</p> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt class="sig sig-object py" id="pyarrow.dataset.ParquetFileFragment.partition_expression"> |
| <span class="sig-name descname"><span class="pre">partition_expression</span></span><a class="headerlink" href="#pyarrow.dataset.ParquetFileFragment.partition_expression" title="Permalink to this definition">#</a></dt> |
| <dd><p>An Expression which evaluates to true for all data viewed by this |
| Fragment.</p> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt class="sig sig-object py" id="pyarrow.dataset.ParquetFileFragment.path"> |
| <span class="sig-name descname"><span class="pre">path</span></span><a class="headerlink" href="#pyarrow.dataset.ParquetFileFragment.path" title="Permalink to this definition">#</a></dt> |
| <dd><p>The path of the data file viewed by this fragment, if it views a |
| file. If instead it views a buffer, this will be “<Buffer>”.</p> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt class="sig sig-object py" id="pyarrow.dataset.ParquetFileFragment.physical_schema"> |
| <span class="sig-name descname"><span class="pre">physical_schema</span></span><a class="headerlink" href="#pyarrow.dataset.ParquetFileFragment.physical_schema" title="Permalink to this definition">#</a></dt> |
| <dd><p>Return the physical schema of this Fragment. This schema can be |
| different from the dataset read schema.</p> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt class="sig sig-object py" id="pyarrow.dataset.ParquetFileFragment.row_groups"> |
| <span class="sig-name descname"><span class="pre">row_groups</span></span><a class="headerlink" href="#pyarrow.dataset.ParquetFileFragment.row_groups" title="Permalink to this definition">#</a></dt> |
| <dd></dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="pyarrow.dataset.ParquetFileFragment.scanner"> |
| <span class="sig-name descname"><span class="pre">scanner</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">self</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Schema</span> <span class="pre">schema=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">columns=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Expression</span> <span class="pre">filter=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">int</span> <span class="pre">batch_size=_DEFAULT_BATCH_SIZE</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">int</span> <span class="pre">batch_readahead=_DEFAULT_BATCH_READAHEAD</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">int</span> <span class="pre">fragment_readahead=_DEFAULT_FRAGMENT_READAHEAD</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">FragmentScanOptions</span> <span class="pre">fragment_scan_options=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bool</span> <span class="pre">use_threads=True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">MemoryPool</span> <span class="pre">memory_pool=None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.dataset.ParquetFileFragment.scanner" title="Permalink to this definition">#</a></dt> |
| <dd><p>Build a scan operation against the fragment.</p> |
| <p>Data is not loaded immediately. Instead, this produces a Scanner, |
| which exposes further operations (e.g. loading all data as a |
| table, counting rows).</p> |
| <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">Schema</span></code></a></span></dt><dd><p>Schema to use for scanning. This is used to unify a Fragment to |
| its Dataset’s schema. If not specified this will use the |
| Fragment’s physical schema which might differ for each Fragment.</p> |
| </dd> |
| <dt><strong>columns</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>The columns to project. This can be a list of column names to |
| include (order and duplicates will be preserved), or a dictionary |
| with {new_column_name: expression} values for more advanced |
| projections.</p> |
| <p>The list of columns or expressions may use the special fields |
| <cite>__batch_index</cite> (the index of the batch within the fragment), |
| <cite>__fragment_index</cite> (the index of the fragment within the dataset), |
| <cite>__last_in_fragment</cite> (whether the batch is last in fragment), and |
| <cite>__filename</cite> (the name of the source file or a description of the |
| source fragment).</p> |
| <p>The columns will be passed down to Datasets and corresponding data |
| fragments to avoid loading, copying, and deserializing columns |
| that will not be required further down the compute chain. |
| By default all of the available columns are projected. Raises |
| an exception if any of the referenced column names does not exist |
| in the dataset’s Schema.</p> |
| </dd> |
| <dt><strong>filter</strong><span class="classifier"><a class="reference internal" href="pyarrow.dataset.Expression.html#pyarrow.dataset.Expression" title="pyarrow.dataset.Expression"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Expression</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>Scan will return only the rows matching the filter. |
| If possible the predicate will be pushed down to exploit the |
| partition information or internal metadata found in the data |
| source, e.g. Parquet statistics. Otherwise filters the loaded |
| RecordBatches before yielding them.</p> |
| </dd> |
| <dt><strong>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 131_072</span></dt><dd><p>The maximum row count for scanned record batches. If scanned |
| record batches are overflowing memory then this method can be |
| called to reduce their size.</p> |
| </dd> |
| <dt><strong>batch_readahead</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 16</span></dt><dd><p>The number of batches to read ahead in a file. This might not work |
| for all file formats. Increasing this number will increase |
| RAM usage but could also improve IO utilization.</p> |
| </dd> |
| <dt><strong>fragment_readahead</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 4</span></dt><dd><p>The number of files to read ahead. Increasing this number will increase |
| RAM usage but could also improve IO utilization.</p> |
| </dd> |
| <dt><strong>fragment_scan_options</strong><span class="classifier"><a class="reference internal" href="pyarrow.dataset.FragmentScanOptions.html#pyarrow.dataset.FragmentScanOptions" title="pyarrow.dataset.FragmentScanOptions"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FragmentScanOptions</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>Options specific to a particular scan and fragment type, which |
| can change between different scans of the same dataset.</p> |
| </dd> |
| <dt><strong>use_threads</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>If enabled, then maximum parallelism will be used determined by |
| the number of available CPU cores.</p> |
| </dd> |
| <dt><strong>memory_pool</strong><span class="classifier"><a class="reference internal" href="pyarrow.MemoryPool.html#pyarrow.MemoryPool" title="pyarrow.MemoryPool"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MemoryPool</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>For memory allocations, if required. If not specified, uses the |
| default pool.</p> |
| </dd> |
| </dl> |
| </dd> |
| <dt class="field-even">Returns<span class="colon">:</span></dt> |
| <dd class="field-even"><dl> |
| <dt><strong>scanner</strong><span class="classifier"><a class="reference internal" href="pyarrow.dataset.Scanner.html#pyarrow.dataset.Scanner" title="pyarrow.dataset.Scanner"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Scanner</span></code></a></span></dt><dd></dd> |
| </dl> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="pyarrow.dataset.ParquetFileFragment.split_by_row_group"> |
| <span class="sig-name descname"><span class="pre">split_by_row_group</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">self</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Expression</span> <span class="pre">filter=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Schema</span> <span class="pre">schema=None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.dataset.ParquetFileFragment.split_by_row_group" title="Permalink to this definition">#</a></dt> |
| <dd><p>Split the fragment into multiple fragments.</p> |
| <p>Yield a Fragment wrapping each row group in this ParquetFileFragment. |
| Row groups will be excluded whose metadata contradicts the optional |
| filter.</p> |
| <dl class="field-list"> |
| <dt class="field-odd">Parameters<span class="colon">:</span></dt> |
| <dd class="field-odd"><dl> |
| <dt><strong>filter</strong><span class="classifier"><a class="reference internal" href="pyarrow.dataset.Expression.html#pyarrow.dataset.Expression" title="pyarrow.dataset.Expression"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Expression</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>Only include the row groups which satisfy this predicate (using |
| the Parquet RowGroup statistics).</p> |
| </dd> |
| <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">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>Schema to use when filtering row groups. Defaults to the |
| Fragment’s physical schema</p> |
| </dd> |
| </dl> |
| </dd> |
| <dt class="field-even">Returns<span class="colon">:</span></dt> |
| <dd class="field-even"><dl class="simple"> |
| <dt><code class="xref py py-obj docutils literal notranslate"><span class="pre">A</span></code> <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 <code class="xref py py-obj docutils literal notranslate"><span class="pre">Fragments</span></code></dt><dd></dd> |
| </dl> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="pyarrow.dataset.ParquetFileFragment.subset"> |
| <span class="sig-name descname"><span class="pre">subset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">self</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Expression</span> <span class="pre">filter=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Schema</span> <span class="pre">schema=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">row_group_ids=None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.dataset.ParquetFileFragment.subset" title="Permalink to this definition">#</a></dt> |
| <dd><p>Create a subset of the fragment (viewing a subset of the row groups).</p> |
| <p>Subset can be specified by either a filter predicate (with optional |
| schema) or by a list of row group IDs. Note that when using a filter, |
| the resulting fragment can be empty (viewing no row groups).</p> |
| <dl class="field-list"> |
| <dt class="field-odd">Parameters<span class="colon">:</span></dt> |
| <dd class="field-odd"><dl> |
| <dt><strong>filter</strong><span class="classifier"><a class="reference internal" href="pyarrow.dataset.Expression.html#pyarrow.dataset.Expression" title="pyarrow.dataset.Expression"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Expression</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>Only include the row groups which satisfy this predicate (using |
| the Parquet RowGroup statistics).</p> |
| </dd> |
| <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">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>Schema to use when filtering row groups. Defaults to the |
| Fragment’s physical schema</p> |
| </dd> |
| <dt><strong>row_group_ids</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 <code class="xref py py-obj docutils literal notranslate"><span class="pre">ints</span></code></span></dt><dd><p>The row group IDs to include in the subset. Can only be specified |
| if <cite>filter</cite> is None.</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.ParquetFileFragment" title="pyarrow.dataset.ParquetFileFragment"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ParquetFileFragment</span></code></a></dt><dd></dd> |
| </dl> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="pyarrow.dataset.ParquetFileFragment.take"> |
| <span class="sig-name descname"><span class="pre">take</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">self</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">indices</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">columns=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Expression</span> <span class="pre">filter=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">int</span> <span class="pre">batch_size=_DEFAULT_BATCH_SIZE</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">int</span> <span class="pre">batch_readahead=_DEFAULT_BATCH_READAHEAD</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">int</span> <span class="pre">fragment_readahead=_DEFAULT_FRAGMENT_READAHEAD</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">FragmentScanOptions</span> <span class="pre">fragment_scan_options=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bool</span> <span class="pre">use_threads=True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">MemoryPool</span> <span class="pre">memory_pool=None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.dataset.ParquetFileFragment.take" title="Permalink to this definition">#</a></dt> |
| <dd><p>Select rows of data by index.</p> |
| <dl class="field-list"> |
| <dt class="field-odd">Parameters<span class="colon">:</span></dt> |
| <dd class="field-odd"><dl> |
| <dt><strong>indices</strong><span class="classifier"><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> or <a class="reference internal" href="pyarrow.array.html#pyarrow.array" title="pyarrow.array"><code class="xref py py-func docutils literal notranslate"><span class="pre">array-like</span></code></a></span></dt><dd><p>The indices of row to select in the dataset.</p> |
| </dd> |
| <dt><strong>columns</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>The columns to project. This can be a list of column names to |
| include (order and duplicates will be preserved), or a dictionary |
| with {new_column_name: expression} values for more advanced |
| projections.</p> |
| <p>The list of columns or expressions may use the special fields |
| <cite>__batch_index</cite> (the index of the batch within the fragment), |
| <cite>__fragment_index</cite> (the index of the fragment within the dataset), |
| <cite>__last_in_fragment</cite> (whether the batch is last in fragment), and |
| <cite>__filename</cite> (the name of the source file or a description of the |
| source fragment).</p> |
| <p>The columns will be passed down to Datasets and corresponding data |
| fragments to avoid loading, copying, and deserializing columns |
| that will not be required further down the compute chain. |
| By default all of the available columns are projected. Raises |
| an exception if any of the referenced column names does not exist |
| in the dataset’s Schema.</p> |
| </dd> |
| <dt><strong>filter</strong><span class="classifier"><a class="reference internal" href="pyarrow.dataset.Expression.html#pyarrow.dataset.Expression" title="pyarrow.dataset.Expression"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Expression</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>Scan will return only the rows matching the filter. |
| If possible the predicate will be pushed down to exploit the |
| partition information or internal metadata found in the data |
| source, e.g. Parquet statistics. Otherwise filters the loaded |
| RecordBatches before yielding them.</p> |
| </dd> |
| <dt><strong>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 131_072</span></dt><dd><p>The maximum row count for scanned record batches. If scanned |
| record batches are overflowing memory then this method can be |
| called to reduce their size.</p> |
| </dd> |
| <dt><strong>batch_readahead</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 16</span></dt><dd><p>The number of batches to read ahead in a file. This might not work |
| for all file formats. Increasing this number will increase |
| RAM usage but could also improve IO utilization.</p> |
| </dd> |
| <dt><strong>fragment_readahead</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 4</span></dt><dd><p>The number of files to read ahead. Increasing this number will increase |
| RAM usage but could also improve IO utilization.</p> |
| </dd> |
| <dt><strong>fragment_scan_options</strong><span class="classifier"><a class="reference internal" href="pyarrow.dataset.FragmentScanOptions.html#pyarrow.dataset.FragmentScanOptions" title="pyarrow.dataset.FragmentScanOptions"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FragmentScanOptions</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>Options specific to a particular scan and fragment type, which |
| can change between different scans of the same dataset.</p> |
| </dd> |
| <dt><strong>use_threads</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>If enabled, then maximum parallelism will be used determined by |
| the number of available CPU cores.</p> |
| </dd> |
| <dt><strong>memory_pool</strong><span class="classifier"><a class="reference internal" href="pyarrow.MemoryPool.html#pyarrow.MemoryPool" title="pyarrow.MemoryPool"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MemoryPool</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>For memory allocations, if required. If not specified, uses the |
| default pool.</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.Table.html#pyarrow.Table" title="pyarrow.Table"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Table</span></code></a></dt><dd></dd> |
| </dl> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="pyarrow.dataset.ParquetFileFragment.to_batches"> |
| <span class="sig-name descname"><span class="pre">to_batches</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">self</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Schema</span> <span class="pre">schema=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">columns=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Expression</span> <span class="pre">filter=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">int</span> <span class="pre">batch_size=_DEFAULT_BATCH_SIZE</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">int</span> <span class="pre">batch_readahead=_DEFAULT_BATCH_READAHEAD</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">int</span> <span class="pre">fragment_readahead=_DEFAULT_FRAGMENT_READAHEAD</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">FragmentScanOptions</span> <span class="pre">fragment_scan_options=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bool</span> <span class="pre">use_threads=True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">MemoryPool</span> <span class="pre">memory_pool=None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.dataset.ParquetFileFragment.to_batches" title="Permalink to this definition">#</a></dt> |
| <dd><p>Read the fragment as materialized record batches.</p> |
| <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">Schema</span></code></a>, optional</span></dt><dd><p>Concrete schema to use for scanning.</p> |
| </dd> |
| <dt><strong>columns</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>The columns to project. This can be a list of column names to |
| include (order and duplicates will be preserved), or a dictionary |
| with {new_column_name: expression} values for more advanced |
| projections.</p> |
| <p>The list of columns or expressions may use the special fields |
| <cite>__batch_index</cite> (the index of the batch within the fragment), |
| <cite>__fragment_index</cite> (the index of the fragment within the dataset), |
| <cite>__last_in_fragment</cite> (whether the batch is last in fragment), and |
| <cite>__filename</cite> (the name of the source file or a description of the |
| source fragment).</p> |
| <p>The columns will be passed down to Datasets and corresponding data |
| fragments to avoid loading, copying, and deserializing columns |
| that will not be required further down the compute chain. |
| By default all of the available columns are projected. Raises |
| an exception if any of the referenced column names does not exist |
| in the dataset’s Schema.</p> |
| </dd> |
| <dt><strong>filter</strong><span class="classifier"><a class="reference internal" href="pyarrow.dataset.Expression.html#pyarrow.dataset.Expression" title="pyarrow.dataset.Expression"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Expression</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>Scan will return only the rows matching the filter. |
| If possible the predicate will be pushed down to exploit the |
| partition information or internal metadata found in the data |
| source, e.g. Parquet statistics. Otherwise filters the loaded |
| RecordBatches before yielding them.</p> |
| </dd> |
| <dt><strong>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 131_072</span></dt><dd><p>The maximum row count for scanned record batches. If scanned |
| record batches are overflowing memory then this method can be |
| called to reduce their size.</p> |
| </dd> |
| <dt><strong>batch_readahead</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 16</span></dt><dd><p>The number of batches to read ahead in a file. This might not work |
| for all file formats. Increasing this number will increase |
| RAM usage but could also improve IO utilization.</p> |
| </dd> |
| <dt><strong>fragment_readahead</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 4</span></dt><dd><p>The number of files to read ahead. Increasing this number will increase |
| RAM usage but could also improve IO utilization.</p> |
| </dd> |
| <dt><strong>fragment_scan_options</strong><span class="classifier"><a class="reference internal" href="pyarrow.dataset.FragmentScanOptions.html#pyarrow.dataset.FragmentScanOptions" title="pyarrow.dataset.FragmentScanOptions"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FragmentScanOptions</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>Options specific to a particular scan and fragment type, which |
| can change between different scans of the same dataset.</p> |
| </dd> |
| <dt><strong>use_threads</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>If enabled, then maximum parallelism will be used determined by |
| the number of available CPU cores.</p> |
| </dd> |
| <dt><strong>memory_pool</strong><span class="classifier"><a class="reference internal" href="pyarrow.MemoryPool.html#pyarrow.MemoryPool" title="pyarrow.MemoryPool"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MemoryPool</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>For memory allocations, if required. If not specified, uses the |
| default pool.</p> |
| </dd> |
| </dl> |
| </dd> |
| <dt class="field-even">Returns<span class="colon">:</span></dt> |
| <dd class="field-even"><dl> |
| <dt><strong>record_batches</strong><span class="classifier">iterator of <a class="reference internal" href="pyarrow.RecordBatch.html#pyarrow.RecordBatch" title="pyarrow.RecordBatch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RecordBatch</span></code></a></span></dt><dd></dd> |
| </dl> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="pyarrow.dataset.ParquetFileFragment.to_table"> |
| <span class="sig-name descname"><span class="pre">to_table</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">self</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Schema</span> <span class="pre">schema=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">columns=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Expression</span> <span class="pre">filter=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">int</span> <span class="pre">batch_size=_DEFAULT_BATCH_SIZE</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">int</span> <span class="pre">batch_readahead=_DEFAULT_BATCH_READAHEAD</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">int</span> <span class="pre">fragment_readahead=_DEFAULT_FRAGMENT_READAHEAD</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">FragmentScanOptions</span> <span class="pre">fragment_scan_options=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bool</span> <span class="pre">use_threads=True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">MemoryPool</span> <span class="pre">memory_pool=None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.dataset.ParquetFileFragment.to_table" title="Permalink to this definition">#</a></dt> |
| <dd><p>Convert this Fragment into a Table.</p> |
| <p>Use this convenience utility with care. This will serially materialize |
| the Scan result in memory before creating the Table.</p> |
| <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">Schema</span></code></a>, optional</span></dt><dd><p>Concrete schema to use for scanning.</p> |
| </dd> |
| <dt><strong>columns</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>The columns to project. This can be a list of column names to |
| include (order and duplicates will be preserved), or a dictionary |
| with {new_column_name: expression} values for more advanced |
| projections.</p> |
| <p>The list of columns or expressions may use the special fields |
| <cite>__batch_index</cite> (the index of the batch within the fragment), |
| <cite>__fragment_index</cite> (the index of the fragment within the dataset), |
| <cite>__last_in_fragment</cite> (whether the batch is last in fragment), and |
| <cite>__filename</cite> (the name of the source file or a description of the |
| source fragment).</p> |
| <p>The columns will be passed down to Datasets and corresponding data |
| fragments to avoid loading, copying, and deserializing columns |
| that will not be required further down the compute chain. |
| By default all of the available columns are projected. Raises |
| an exception if any of the referenced column names does not exist |
| in the dataset’s Schema.</p> |
| </dd> |
| <dt><strong>filter</strong><span class="classifier"><a class="reference internal" href="pyarrow.dataset.Expression.html#pyarrow.dataset.Expression" title="pyarrow.dataset.Expression"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Expression</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>Scan will return only the rows matching the filter. |
| If possible the predicate will be pushed down to exploit the |
| partition information or internal metadata found in the data |
| source, e.g. Parquet statistics. Otherwise filters the loaded |
| RecordBatches before yielding them.</p> |
| </dd> |
| <dt><strong>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 131_072</span></dt><dd><p>The maximum row count for scanned record batches. If scanned |
| record batches are overflowing memory then this method can be |
| called to reduce their size.</p> |
| </dd> |
| <dt><strong>batch_readahead</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 16</span></dt><dd><p>The number of batches to read ahead in a file. This might not work |
| for all file formats. Increasing this number will increase |
| RAM usage but could also improve IO utilization.</p> |
| </dd> |
| <dt><strong>fragment_readahead</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 4</span></dt><dd><p>The number of files to read ahead. Increasing this number will increase |
| RAM usage but could also improve IO utilization.</p> |
| </dd> |
| <dt><strong>fragment_scan_options</strong><span class="classifier"><a class="reference internal" href="pyarrow.dataset.FragmentScanOptions.html#pyarrow.dataset.FragmentScanOptions" title="pyarrow.dataset.FragmentScanOptions"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FragmentScanOptions</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>Options specific to a particular scan and fragment type, which |
| can change between different scans of the same dataset.</p> |
| </dd> |
| <dt><strong>use_threads</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>If enabled, then maximum parallelism will be used determined by |
| the number of available CPU cores.</p> |
| </dd> |
| <dt><strong>memory_pool</strong><span class="classifier"><a class="reference internal" href="pyarrow.MemoryPool.html#pyarrow.MemoryPool" title="pyarrow.MemoryPool"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MemoryPool</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>For memory allocations, if required. If not specified, uses the |
| default pool.</p> |
| </dd> |
| </dl> |
| </dd> |
| <dt class="field-even">Returns<span class="colon">:</span></dt> |
| <dd class="field-even"><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">Table</span></code></a></span></dt><dd></dd> |
| </dl> |
| </dd> |
| </dl> |
| </dd></dl> |
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| </dd></dl> |
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| <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#pyarrow.dataset.ParquetFileFragment.scanner"><code class="docutils literal notranslate"><span class="pre">ParquetFileFragment.scanner()</span></code></a></li> |
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