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| <section id="joins"> |
| <h1>Joins<a class="headerlink" href="#joins" title="Link to this heading">¶</a></h1> |
| <p>DataFusion supports the following join variants via the method <a class="reference internal" href="../../autoapi/datafusion/dataframe/index.html#datafusion.dataframe.DataFrame.join" title="datafusion.dataframe.DataFrame.join"><code class="xref py py-func docutils literal notranslate"><span class="pre">join()</span></code></a></p> |
| <ul class="simple"> |
| <li><p>Inner Join</p></li> |
| <li><p>Left Join</p></li> |
| <li><p>Right Join</p></li> |
| <li><p>Full Join</p></li> |
| <li><p>Left Semi Join</p></li> |
| <li><p>Left Anti Join</p></li> |
| </ul> |
| <p>For the examples in this section we’ll use the following two DataFrames</p> |
| <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="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">3</span><span class="p">]:</span> <span class="n">left</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">(</span> |
| <span class="o">...</span><span class="p">:</span> <span class="p">{</span> |
| <span class="o">...</span><span class="p">:</span> <span class="s2">"customer_id"</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="o">...</span><span class="p">:</span> <span class="s2">"customer"</span><span class="p">:</span> <span class="p">[</span><span class="s2">"Alice"</span><span class="p">,</span> <span class="s2">"Bob"</span><span class="p">,</span> <span class="s2">"Charlie"</span><span class="p">],</span> |
| <span class="o">...</span><span class="p">:</span> <span class="p">}</span> |
| <span class="o">...</span><span class="p">:</span> <span class="p">)</span> |
| <span class="o">...</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">right</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pylist</span><span class="p">([</span> |
| <span class="o">...</span><span class="p">:</span> <span class="p">{</span><span class="s2">"id"</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span> <span class="s2">"name"</span><span class="p">:</span> <span class="s2">"CityCabs"</span><span class="p">},</span> |
| <span class="o">...</span><span class="p">:</span> <span class="p">{</span><span class="s2">"id"</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span> <span class="s2">"name"</span><span class="p">:</span> <span class="s2">"MetroRide"</span><span class="p">},</span> |
| <span class="o">...</span><span class="p">:</span> <span class="p">{</span><span class="s2">"id"</span><span class="p">:</span> <span class="mi">5</span><span class="p">,</span> <span class="s2">"name"</span><span class="p">:</span> <span class="s2">"UrbanGo"</span><span class="p">},</span> |
| <span class="o">...</span><span class="p">:</span> <span class="p">])</span> |
| <span class="o">...</span><span class="p">:</span> |
| </pre></div> |
| </div> |
| <section id="inner-join"> |
| <h2>Inner Join<a class="headerlink" href="#inner-join" title="Link to this heading">¶</a></h2> |
| <p>When using an inner join, only rows containing the common values between the two join columns present in both DataFrames |
| will be included in the resulting DataFrame.</p> |
| <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="n">In</span> <span class="p">[</span><span class="mi">5</span><span class="p">]:</span> <span class="n">left</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">right</span><span class="p">,</span> <span class="n">left_on</span><span class="o">=</span><span class="s2">"customer_id"</span><span class="p">,</span> <span class="n">right_on</span><span class="o">=</span><span class="s2">"id"</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s2">"inner"</span><span class="p">)</span> |
| <span class="n">Out</span><span class="p">[</span><span class="mi">5</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">customer_id</span> <span class="o">|</span> <span class="n">customer</span> <span class="o">|</span> <span class="nb">id</span> <span class="o">|</span> <span class="n">name</span> <span class="o">|</span> |
| <span class="o">+-------------+----------+----+-----------+</span> |
| <span class="o">|</span> <span class="mi">1</span> <span class="o">|</span> <span class="n">Alice</span> <span class="o">|</span> <span class="mi">1</span> <span class="o">|</span> <span class="n">CityCabs</span> <span class="o">|</span> |
| <span class="o">|</span> <span class="mi">2</span> <span class="o">|</span> <span class="n">Bob</span> <span class="o">|</span> <span class="mi">2</span> <span class="o">|</span> <span class="n">MetroRide</span> <span class="o">|</span> |
| <span class="o">+-------------+----------+----+-----------+</span> |
| </pre></div> |
| </div> |
| <p>The parameter <code class="docutils literal notranslate"><span class="pre">join_keys</span></code> specifies the columns from the left DataFrame and right DataFrame that contains the values |
| that should match.</p> |
| </section> |
| <section id="left-join"> |
| <h2>Left Join<a class="headerlink" href="#left-join" title="Link to this heading">¶</a></h2> |
| <p>A left join combines rows from two DataFrames using the key columns. It returns all rows from the left DataFrame and |
| matching rows from the right DataFrame. If there’s no match in the right DataFrame, it returns null |
| values for the corresponding columns.</p> |
| <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="n">In</span> <span class="p">[</span><span class="mi">6</span><span class="p">]:</span> <span class="n">left</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">right</span><span class="p">,</span> <span class="n">left_on</span><span class="o">=</span><span class="s2">"customer_id"</span><span class="p">,</span> <span class="n">right_on</span><span class="o">=</span><span class="s2">"id"</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s2">"left"</span><span class="p">)</span> |
| <span class="n">Out</span><span class="p">[</span><span class="mi">6</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">customer_id</span> <span class="o">|</span> <span class="n">customer</span> <span class="o">|</span> <span class="nb">id</span> <span class="o">|</span> <span class="n">name</span> <span class="o">|</span> |
| <span class="o">+-------------+----------+----+-----------+</span> |
| <span class="o">|</span> <span class="mi">1</span> <span class="o">|</span> <span class="n">Alice</span> <span class="o">|</span> <span class="mi">1</span> <span class="o">|</span> <span class="n">CityCabs</span> <span class="o">|</span> |
| <span class="o">|</span> <span class="mi">2</span> <span class="o">|</span> <span class="n">Bob</span> <span class="o">|</span> <span class="mi">2</span> <span class="o">|</span> <span class="n">MetroRide</span> <span class="o">|</span> |
| <span class="o">|</span> <span class="mi">3</span> <span class="o">|</span> <span class="n">Charlie</span> <span class="o">|</span> <span class="o">|</span> <span class="o">|</span> |
| <span class="o">+-------------+----------+----+-----------+</span> |
| </pre></div> |
| </div> |
| </section> |
| <section id="full-join"> |
| <h2>Full Join<a class="headerlink" href="#full-join" title="Link to this heading">¶</a></h2> |
| <p>A full join merges rows from two tables based on a related column, returning all rows from both tables, even if there |
| is no match. Unmatched rows will have null values.</p> |
| <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="n">In</span> <span class="p">[</span><span class="mi">7</span><span class="p">]:</span> <span class="n">left</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">right</span><span class="p">,</span> <span class="n">left_on</span><span class="o">=</span><span class="s2">"customer_id"</span><span class="p">,</span> <span class="n">right_on</span><span class="o">=</span><span class="s2">"id"</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s2">"full"</span><span class="p">)</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">customer_id</span> <span class="o">|</span> <span class="n">customer</span> <span class="o">|</span> <span class="nb">id</span> <span class="o">|</span> <span class="n">name</span> <span class="o">|</span> |
| <span class="o">+-------------+----------+----+-----------+</span> |
| <span class="o">|</span> <span class="mi">1</span> <span class="o">|</span> <span class="n">Alice</span> <span class="o">|</span> <span class="mi">1</span> <span class="o">|</span> <span class="n">CityCabs</span> <span class="o">|</span> |
| <span class="o">|</span> <span class="mi">2</span> <span class="o">|</span> <span class="n">Bob</span> <span class="o">|</span> <span class="mi">2</span> <span class="o">|</span> <span class="n">MetroRide</span> <span class="o">|</span> |
| <span class="o">|</span> <span class="o">|</span> <span class="o">|</span> <span class="mi">5</span> <span class="o">|</span> <span class="n">UrbanGo</span> <span class="o">|</span> |
| <span class="o">|</span> <span class="mi">3</span> <span class="o">|</span> <span class="n">Charlie</span> <span class="o">|</span> <span class="o">|</span> <span class="o">|</span> |
| <span class="o">+-------------+----------+----+-----------+</span> |
| </pre></div> |
| </div> |
| </section> |
| <section id="left-semi-join"> |
| <h2>Left Semi Join<a class="headerlink" href="#left-semi-join" title="Link to this heading">¶</a></h2> |
| <p>A left semi join retrieves matching rows from the left table while |
| omitting duplicates with multiple matches in the right table.</p> |
| <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">left</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">right</span><span class="p">,</span> <span class="n">left_on</span><span class="o">=</span><span class="s2">"customer_id"</span><span class="p">,</span> <span class="n">right_on</span><span class="o">=</span><span class="s2">"id"</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s2">"semi"</span><span class="p">)</span> |
| <span class="n">Out</span><span class="p">[</span><span class="mi">8</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">customer_id</span> <span class="o">|</span> <span class="n">customer</span> <span class="o">|</span> |
| <span class="o">+-------------+----------+</span> |
| <span class="o">|</span> <span class="mi">1</span> <span class="o">|</span> <span class="n">Alice</span> <span class="o">|</span> |
| <span class="o">|</span> <span class="mi">2</span> <span class="o">|</span> <span class="n">Bob</span> <span class="o">|</span> |
| <span class="o">+-------------+----------+</span> |
| </pre></div> |
| </div> |
| </section> |
| <section id="left-anti-join"> |
| <h2>Left Anti Join<a class="headerlink" href="#left-anti-join" title="Link to this heading">¶</a></h2> |
| <p>A left anti join shows all rows from the left table without any matching rows in the right table, |
| based on a the specified matching columns. It excludes rows from the left table that have at least one matching row in |
| the right table.</p> |
| <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="n">In</span> <span class="p">[</span><span class="mi">9</span><span class="p">]:</span> <span class="n">left</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">right</span><span class="p">,</span> <span class="n">left_on</span><span class="o">=</span><span class="s2">"customer_id"</span><span class="p">,</span> <span class="n">right_on</span><span class="o">=</span><span class="s2">"id"</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s2">"anti"</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">DataFrame</span><span class="p">()</span> |
| <span class="o">+-------------+----------+</span> |
| <span class="o">|</span> <span class="n">customer_id</span> <span class="o">|</span> <span class="n">customer</span> <span class="o">|</span> |
| <span class="o">+-------------+----------+</span> |
| <span class="o">|</span> <span class="mi">3</span> <span class="o">|</span> <span class="n">Charlie</span> <span class="o">|</span> |
| <span class="o">+-------------+----------+</span> |
| </pre></div> |
| </div> |
| </section> |
| </section> |
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