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| --> |
| <section id="datafusion-in-python"> |
| <h1>DataFusion in Python<a class="headerlink" href="#datafusion-in-python" title="Link to this heading">#</a></h1> |
| <p>This is a Python library that binds to <a class="reference external" href="https://arrow.apache.org/">Apache Arrow</a> in-memory query engine <a class="reference external" href="https://github.com/apache/datafusion">DataFusion</a>.</p> |
| <p>Like pyspark, it allows you to build a plan through SQL or a DataFrame API against in-memory data, parquet or CSV files, run it in a multi-threaded environment, and obtain the result back in Python.</p> |
| <p>It also allows you to use UDFs and UDAFs for complex operations.</p> |
| <p>The major advantage of this library over other execution engines is that this library achieves zero-copy between Python and its execution engine: there is no cost in using UDFs, UDAFs, and collecting the results to Python apart from having to lock the GIL when running those operations.</p> |
| <p>Its query engine, DataFusion, is written in <a class="reference external" href="https://www.rust-lang.org">Rust</a>, which makes strong assumptions about thread safety and lack of memory leaks.</p> |
| <p>Technically, zero-copy is achieved via the <a class="reference external" href="https://arrow.apache.org/docs/format/CDataInterface.html">c data interface</a>.</p> |
| <section id="install"> |
| <h2>Install<a class="headerlink" href="#install" title="Link to this heading">#</a></h2> |
| <div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>pip<span class="w"> </span>install<span class="w"> </span>datafusion |
| </pre></div> |
| </div> |
| </section> |
| <section id="example"> |
| <h2>Example<a class="headerlink" href="#example" title="Link to this heading">#</a></h2> |
| <div class="cell docutils container"> |
| <div class="cell_input docutils container"> |
| <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></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">ctx</span> <span class="o">=</span> <span class="n">SessionContext</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">read_csv</span><span class="p">(</span><span class="s2">"pokemon.csv"</span><span class="p">)</span> |
| |
| <span class="n">df</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> |
| </pre></div> |
| </div> |
| </div> |
| <div class="cell_output docutils container"> |
| <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>DataFrame() |
| +----+---------------------------+--------+--------+-------+----+--------+---------+---------+---------+-------+------------+-----------+ |
| | # | Name | Type 1 | Type 2 | Total | HP | Attack | Defense | Sp. Atk | Sp. Def | Speed | Generation | Legendary | |
| +----+---------------------------+--------+--------+-------+----+--------+---------+---------+---------+-------+------------+-----------+ |
| | 1 | Bulbasaur | Grass | Poison | 318 | 45 | 49 | 49 | 65 | 65 | 45 | 1 | false | |
| | 2 | Ivysaur | Grass | Poison | 405 | 60 | 62 | 63 | 80 | 80 | 60 | 1 | false | |
| | 3 | Venusaur | Grass | Poison | 525 | 80 | 82 | 83 | 100 | 100 | 80 | 1 | false | |
| | 3 | VenusaurMega Venusaur | Grass | Poison | 625 | 80 | 100 | 123 | 122 | 120 | 80 | 1 | false | |
| | 4 | Charmander | Fire | | 309 | 39 | 52 | 43 | 60 | 50 | 65 | 1 | false | |
| | 5 | Charmeleon | Fire | | 405 | 58 | 64 | 58 | 80 | 65 | 80 | 1 | false | |
| | 6 | Charizard | Fire | Flying | 534 | 78 | 84 | 78 | 109 | 85 | 100 | 1 | false | |
| | 6 | CharizardMega Charizard X | Fire | Dragon | 634 | 78 | 130 | 111 | 130 | 85 | 100 | 1 | false | |
| | 6 | CharizardMega Charizard Y | Fire | Flying | 634 | 78 | 104 | 78 | 159 | 115 | 100 | 1 | false | |
| | 7 | Squirtle | Water | | 314 | 44 | 48 | 65 | 50 | 64 | 43 | 1 | false | |
| | 8 | Wartortle | Water | | 405 | 59 | 63 | 80 | 65 | 80 | 58 | 1 | false | |
| | 9 | Blastoise | Water | | 530 | 79 | 83 | 100 | 85 | 105 | 78 | 1 | false | |
| | 9 | BlastoiseMega Blastoise | Water | | 630 | 79 | 103 | 120 | 135 | 115 | 78 | 1 | false | |
| | 10 | Caterpie | Bug | | 195 | 45 | 30 | 35 | 20 | 20 | 45 | 1 | false | |
| | 11 | Metapod | Bug | | 205 | 50 | 20 | 55 | 25 | 25 | 30 | 1 | false | |
| | 12 | Butterfree | Bug | Flying | 395 | 60 | 45 | 50 | 90 | 80 | 70 | 1 | false | |
| | 13 | Weedle | Bug | Poison | 195 | 40 | 35 | 30 | 20 | 20 | 50 | 1 | false | |
| | 14 | Kakuna | Bug | Poison | 205 | 45 | 25 | 50 | 25 | 25 | 35 | 1 | false | |
| | 15 | Beedrill | Bug | Poison | 395 | 65 | 90 | 40 | 45 | 80 | 75 | 1 | false | |
| | 15 | BeedrillMega Beedrill | Bug | Poison | 495 | 65 | 150 | 40 | 15 | 80 | 145 | 1 | false | |
| +----+---------------------------+--------+--------+-------+----+--------+---------+---------+---------+-------+------------+-----------+ |
| </pre></div> |
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