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| <section id="arrow"> |
| <h1>Arrow<a class="headerlink" href="#arrow" title="Link to this heading">ΒΆ</a></h1> |
| <p>DataFusion implements the |
| <a class="reference external" href="https://arrow.apache.org/docs/format/CDataInterface/PyCapsuleInterface.html">Apache Arrow PyCapsule interface</a> |
| for importing and exporting DataFrames with zero copy. With this feature, any Python |
| project that implements this interface can share data back and forth with DataFusion |
| with zero copy.</p> |
| <p>We can demonstrate using <a class="reference external" href="https://arrow.apache.org/docs/python/index.html">pyarrow</a>.</p> |
| <section id="importing-to-datafusion"> |
| <h2>Importing to DataFusion<a class="headerlink" href="#importing-to-datafusion" title="Link to this heading">ΒΆ</a></h2> |
| <p>Here we will create an Arrow table and import it to DataFusion.</p> |
| <p>To import an Arrow table, use <a class="reference internal" href="../../autoapi/datafusion/context/index.html#datafusion.context.SessionContext.from_arrow" title="datafusion.context.SessionContext.from_arrow"><code class="xref py py-func docutils literal notranslate"><span class="pre">datafusion.context.SessionContext.from_arrow()</span></code></a>. |
| This will accept any Python object that implements |
| <a class="reference external" href="https://arrow.apache.org/docs/format/CDataInterface/PyCapsuleInterface.html#arrowstream-export">__arrow_c_stream__</a> |
| or <a class="reference external" href="https://arrow.apache.org/docs/format/CDataInterface/PyCapsuleInterface.html#arrowarray-export">__arrow_c_array__</a> |
| and returns a <code class="docutils literal notranslate"><span class="pre">StructArray</span></code>. Common pyarrow sources you can use are:</p> |
| <ul class="simple"> |
| <li><p><a class="reference external" href="https://arrow.apache.org/docs/python/generated/pyarrow.Array.html">Array</a> (but it must return a Struct Array)</p></li> |
| <li><p><a class="reference external" href="https://arrow.apache.org/docs/python/generated/pyarrow.RecordBatch.html">Record Batch</a></p></li> |
| <li><p><a class="reference external" href="https://arrow.apache.org/docs/python/generated/pyarrow.RecordBatchReader.html">Record Batch Reader</a></p></li> |
| <li><p><a class="reference external" href="https://arrow.apache.org/docs/python/generated/pyarrow.Table.html">Table</a></p></li> |
| </ul> |
| <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="n">In</span> <span class="p">[</span><span class="mi">1</span><span class="p">]:</span> <span class="kn">from</span><span class="w"> </span><span class="nn">datafusion</span><span class="w"> </span><span class="kn">import</span> <span class="n">SessionContext</span> |
| |
| <span class="n">In</span> <span class="p">[</span><span class="mi">2</span><span class="p">]:</span> <span class="kn">import</span><span class="w"> </span><span class="nn">pyarrow</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pa</span> |
| |
| <span class="n">In</span> <span class="p">[</span><span class="mi">3</span><span class="p">]:</span> <span class="n">data</span> <span class="o">=</span> <span class="p">{</span><span class="s2">"a"</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">],</span> <span class="s2">"b"</span><span class="p">:</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">6</span><span class="p">]}</span> |
| |
| <span class="n">In</span> <span class="p">[</span><span class="mi">4</span><span class="p">]:</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="o">.</span><span class="n">from_pydict</span><span class="p">(</span><span class="n">data</span><span class="p">)</span> |
| |
| <span class="n">In</span> <span class="p">[</span><span class="mi">5</span><span class="p">]:</span> <span class="n">ctx</span> <span class="o">=</span> <span class="n">SessionContext</span><span class="p">()</span> |
| |
| <span class="n">In</span> <span class="p">[</span><span class="mi">6</span><span class="p">]:</span> <span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_arrow</span><span class="p">(</span><span class="n">table</span><span class="p">)</span> |
| |
| <span class="n">In</span> <span class="p">[</span><span class="mi">7</span><span class="p">]:</span> <span class="n">df</span> |
| <span class="n">Out</span><span class="p">[</span><span class="mi">7</span><span class="p">]:</span> |
| <span class="n">DataFrame</span><span class="p">()</span> |
| <span class="o">+---+---+</span> |
| <span class="o">|</span> <span class="n">a</span> <span class="o">|</span> <span class="n">b</span> <span class="o">|</span> |
| <span class="o">+---+---+</span> |
| <span class="o">|</span> <span class="mi">1</span> <span class="o">|</span> <span class="mi">4</span> <span class="o">|</span> |
| <span class="o">|</span> <span class="mi">2</span> <span class="o">|</span> <span class="mi">5</span> <span class="o">|</span> |
| <span class="o">|</span> <span class="mi">3</span> <span class="o">|</span> <span class="mi">6</span> <span class="o">|</span> |
| <span class="o">+---+---+</span> |
| </pre></div> |
| </div> |
| </section> |
| <section id="exporting-from-datafusion"> |
| <h2>Exporting from DataFusion<a class="headerlink" href="#exporting-from-datafusion" title="Link to this heading">ΒΆ</a></h2> |
| <p>DataFusion DataFrames implement <code class="docutils literal notranslate"><span class="pre">__arrow_c_stream__</span></code> PyCapsule interface, so any |
| Python library that accepts these can import a DataFusion DataFrame directly.</p> |
| <div class="admonition warning"> |
| <p class="admonition-title">Warning</p> |
| <p>It is important to note that this will cause the DataFrame execution to happen, which may be |
| a time consuming task. That is, you will cause a |
| <a class="reference internal" href="../../autoapi/datafusion/dataframe/index.html#datafusion.dataframe.DataFrame.collect" title="datafusion.dataframe.DataFrame.collect"><code class="xref py py-func docutils literal notranslate"><span class="pre">datafusion.dataframe.DataFrame.collect()</span></code></a> operation call to occur.</p> |
| </div> |
| <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="n">In</span> <span class="p">[</span><span class="mi">8</span><span class="p">]:</span> <span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">((</span><span class="n">col</span><span class="p">(</span><span class="s2">"a"</span><span class="p">)</span> <span class="o">*</span> <span class="n">lit</span><span class="p">(</span><span class="mf">1.5</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">"c"</span><span class="p">),</span> <span class="n">lit</span><span class="p">(</span><span class="s2">"df"</span><span class="p">)</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">"d"</span><span class="p">))</span> |
| |
| <span class="n">In</span> <span class="p">[</span><span class="mi">9</span><span class="p">]:</span> <span class="n">pa</span><span class="o">.</span><span class="n">table</span><span class="p">(</span><span class="n">df</span><span class="p">)</span> |
| <span class="n">Out</span><span class="p">[</span><span class="mi">9</span><span class="p">]:</span> |
| <span class="n">pyarrow</span><span class="o">.</span><span class="n">Table</span> |
| <span class="n">c</span><span class="p">:</span> <span class="n">double</span> |
| <span class="n">d</span><span class="p">:</span> <span class="n">string_view</span> <span class="ow">not</span> <span class="n">null</span> |
| <span class="o">----</span> |
| <span class="n">c</span><span class="p">:</span> <span class="p">[[</span><span class="mf">1.5</span><span class="p">,</span><span class="mi">3</span><span class="p">,</span><span class="mf">4.5</span><span class="p">]]</span> |
| <span class="n">d</span><span class="p">:</span> <span class="p">[[</span><span class="s2">"df"</span><span class="p">,</span><span class="s2">"df"</span><span class="p">,</span><span class="s2">"df"</span><span class="p">]]</span> |
| </pre></div> |
| </div> |
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