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<div class="section" id="Quickstart:-Spark-Connect">
<h1>Quickstart: Spark Connect<a class="headerlink" href="#Quickstart:-Spark-Connect" title="Permalink to this headline"></a></h1>
<p>Spark Connect introduced a decoupled client-server architecture for Spark that allows remote connectivity to Spark clusters using the <a class="reference external" href="https://spark.apache.org/docs/latest/api/python/reference/pyspark.sql/api/pyspark.sql.DataFrame.html?highlight=dataframe#pyspark.sql.DataFrame">DataFrame API</a>.</p>
<p>This notebook walks through a simple step-by-step example of how to use Spark Connect to build any type of application that needs to leverage the power of Spark when working with data.</p>
<p>Spark Connect includes both client and server components and we will show you how to set up and use both.</p>
<div class="section" id="Launch-Spark-server-with-Spark-Connect">
<h2>Launch Spark server with Spark Connect<a class="headerlink" href="#Launch-Spark-server-with-Spark-Connect" title="Permalink to this headline"></a></h2>
<p>To launch Spark with support for Spark Connect sessions, run the <code class="docutils literal notranslate"><span class="pre">start-connect-server.sh</span></code> script.</p>
<div class="nbinput nblast docutils container">
<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[1]:
</pre></div>
</div>
<div class="input_area highlight-bash notranslate"><div class="highlight"><pre>
<span></span>%%bash
<span class="nb">source</span><span class="w"> </span>~/.profile<span class="w"> </span><span class="c1"># Make sure environment variables are loaded.</span>
<span class="nv">$HOME</span>/sbin/start-connect-server.sh<span class="w"> </span>--packages<span class="w"> </span>org.apache.spark:spark-connect_2.12:<span class="nv">$SPARK_VERSION</span>
</pre></div>
</div>
</div>
</div>
<div class="section" id="Connect-to-Spark-Connect-server">
<h2>Connect to Spark Connect server<a class="headerlink" href="#Connect-to-Spark-Connect-server" title="Permalink to this headline"></a></h2>
<p>Now that the Spark server is running, we can connect to it remotely using Spark Connect. We do this by creating a remote Spark session on the client where our application runs. Before we can do that, we need to make sure to stop the existing regular Spark session because it cannot coexist with the remote Spark Connect session we are about to create.</p>
<div class="nbinput nblast docutils container">
<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[2]:
</pre></div>
</div>
<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
<span></span><span class="kn">from</span> <span class="nn">pyspark.sql</span> <span class="kn">import</span> <span class="n">SparkSession</span>
<span class="n">SparkSession</span><span class="o">.</span><span class="n">builder</span><span class="o">.</span><span class="n">master</span><span class="p">(</span><span class="s2">&quot;local[*]&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">getOrCreate</span><span class="p">()</span><span class="o">.</span><span class="n">stop</span><span class="p">()</span>
</pre></div>
</div>
</div>
<p>The command we used above to launch the server configured Spark to run as <code class="docutils literal notranslate"><span class="pre">localhost:15002</span></code>. So now we can create a remote Spark session on the client using the following command.</p>
<div class="nbinput nblast docutils container">
<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[3]:
</pre></div>
</div>
<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
<span></span><span class="n">spark</span> <span class="o">=</span> <span class="n">SparkSession</span><span class="o">.</span><span class="n">builder</span><span class="o">.</span><span class="n">remote</span><span class="p">(</span><span class="s2">&quot;sc://localhost:15002&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">getOrCreate</span><span class="p">()</span>
</pre></div>
</div>
</div>
</div>
<div class="section" id="Create-DataFrame">
<h2>Create DataFrame<a class="headerlink" href="#Create-DataFrame" title="Permalink to this headline"></a></h2>
<p>Once the remote Spark session is created successfully, it can be used the same way as a regular Spark session. Therefore, you can create a DataFrame with the following command.</p>
<div class="nbinput docutils container">
<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[4]:
</pre></div>
</div>
<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
<span></span><span class="kn">from</span> <span class="nn">datetime</span> <span class="kn">import</span> <span class="n">datetime</span><span class="p">,</span> <span class="n">date</span>
<span class="kn">from</span> <span class="nn">pyspark.sql</span> <span class="kn">import</span> <span class="n">Row</span>
<span class="n">df</span> <span class="o">=</span> <span class="n">spark</span><span class="o">.</span><span class="n">createDataFrame</span><span class="p">([</span>
<span class="n">Row</span><span class="p">(</span><span class="n">a</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">b</span><span class="o">=</span><span class="mf">2.</span><span class="p">,</span> <span class="n">c</span><span class="o">=</span><span class="s1">&#39;string1&#39;</span><span class="p">,</span> <span class="n">d</span><span class="o">=</span><span class="n">date</span><span class="p">(</span><span class="mi">2000</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="n">e</span><span class="o">=</span><span class="n">datetime</span><span class="p">(</span><span class="mi">2000</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">12</span><span class="p">,</span> <span class="mi">0</span><span class="p">)),</span>
<span class="n">Row</span><span class="p">(</span><span class="n">a</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">b</span><span class="o">=</span><span class="mf">3.</span><span class="p">,</span> <span class="n">c</span><span class="o">=</span><span class="s1">&#39;string2&#39;</span><span class="p">,</span> <span class="n">d</span><span class="o">=</span><span class="n">date</span><span class="p">(</span><span class="mi">2000</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="n">e</span><span class="o">=</span><span class="n">datetime</span><span class="p">(</span><span class="mi">2000</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">12</span><span class="p">,</span> <span class="mi">0</span><span class="p">)),</span>
<span class="n">Row</span><span class="p">(</span><span class="n">a</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span> <span class="n">b</span><span class="o">=</span><span class="mf">5.</span><span class="p">,</span> <span class="n">c</span><span class="o">=</span><span class="s1">&#39;string3&#39;</span><span class="p">,</span> <span class="n">d</span><span class="o">=</span><span class="n">date</span><span class="p">(</span><span class="mi">2000</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="n">e</span><span class="o">=</span><span class="n">datetime</span><span class="p">(</span><span class="mi">2000</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">12</span><span class="p">,</span> <span class="mi">0</span><span class="p">))</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>
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<div class="prompt empty docutils container">
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<div class="highlight"><pre>
+---+---+-------+----------+-------------------+
| a| b| c| d| e|
+---+---+-------+----------+-------------------+
| 1|2.0|string1|2000-01-01|2000-01-01 12:00:00|
| 2|3.0|string2|2000-02-01|2000-01-02 12:00:00|
| 4|5.0|string3|2000-03-01|2000-01-03 12:00:00|
+---+---+-------+----------+-------------------+
</pre></div></div>
</div>
<p>See ‘Live Notebook: DataFrame’ at <a class="reference external" href="https://spark.apache.org/docs/latest/api/python/getting_started/index.html">the quickstart page</a> for more detail usage of DataFrame API.</p>
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