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<blockquote>
<div></div></blockquote>
<div class="section" id="amazon-emr-operators">
<span id="howto-operator-emroperators"></span><h1>Amazon EMR Operators<a class="headerlink" href="#amazon-emr-operators" title="Permalink to this headline"></a></h1>
<div class="contents local topic" id="contents">
<ul class="simple">
<li><p><a class="reference internal" href="#prerequisite-tasks" id="id4">Prerequisite Tasks</a></p></li>
<li><p><a class="reference internal" href="#overview" id="id5">Overview</a></p></li>
<li><p><a class="reference internal" href="#create-emr-job-flow-with-automatic-steps" id="id6">Create EMR Job Flow with automatic steps</a></p></li>
<li><p><a class="reference internal" href="#create-emr-job-flow-with-manual-steps" id="id7">Create EMR Job Flow with manual steps</a></p></li>
<li><p><a class="reference internal" href="#reference" id="id8">Reference</a></p></li>
</ul>
</div>
<div class="section" id="prerequisite-tasks">
<h2><a class="toc-backref" href="#id4">Prerequisite Tasks</a><a class="headerlink" href="#prerequisite-tasks" title="Permalink to this headline"></a></h2>
<blockquote>
<div></div></blockquote>
<p>To use these operators, you must do a few things:</p>
<blockquote>
<div><ul>
<li><p>Create necessary resources using <a class="reference external" href="https://console.aws.amazon.com">AWS Console</a> or <a class="reference external" href="https://aws.amazon.com/cli">AWS CLI</a>.</p></li>
<li><p>Install API libraries via <strong>pip</strong>.</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>pip install <span class="s1">&#39;apache-airflow[amazon]&#39;</span>
</pre></div>
</div>
<p>Detailed information is available <a class="reference external" href="/docs/apache-airflow/stable/installation.html" title="(in apache-airflow v2.1.0.dev0)"><span>Installation</span></a></p>
</li>
<li><p><a class="reference internal" href="../connections/aws.html"><span class="doc">Setup Connection</span></a>.</p></li>
</ul>
</div></blockquote>
</div>
<div class="section" id="overview">
<h2><a class="toc-backref" href="#id5">Overview</a><a class="headerlink" href="#overview" title="Permalink to this headline"></a></h2>
<p>Airflow to AWS EMR integration provides several operators to create and interact with EMR service.</p>
<blockquote>
<div><ul class="simple">
<li><p><a class="reference internal" href="../_api/airflow/providers/amazon/aws/sensors/emr_job_flow/index.html#airflow.providers.amazon.aws.sensors.emr_job_flow.EmrJobFlowSensor" title="airflow.providers.amazon.aws.sensors.emr_job_flow.EmrJobFlowSensor"><code class="xref py py-class docutils literal notranslate"><span class="pre">EmrJobFlowSensor</span></code></a></p></li>
<li><p><a class="reference internal" href="../_api/airflow/providers/amazon/aws/sensors/emr_step/index.html#airflow.providers.amazon.aws.sensors.emr_step.EmrStepSensor" title="airflow.providers.amazon.aws.sensors.emr_step.EmrStepSensor"><code class="xref py py-class docutils literal notranslate"><span class="pre">EmrStepSensor</span></code></a></p></li>
<li><p><a class="reference internal" href="../_api/airflow/providers/amazon/aws/operators/emr_create_job_flow/index.html#airflow.providers.amazon.aws.operators.emr_create_job_flow.EmrCreateJobFlowOperator" title="airflow.providers.amazon.aws.operators.emr_create_job_flow.EmrCreateJobFlowOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">EmrCreateJobFlowOperator</span></code></a></p></li>
<li><p><a class="reference internal" href="../_api/airflow/providers/amazon/aws/operators/emr_add_steps/index.html#airflow.providers.amazon.aws.operators.emr_add_steps.EmrAddStepsOperator" title="airflow.providers.amazon.aws.operators.emr_add_steps.EmrAddStepsOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">EmrAddStepsOperator</span></code></a></p></li>
<li><p><a class="reference internal" href="../_api/airflow/providers/amazon/aws/operators/emr_modify_cluster/index.html#airflow.providers.amazon.aws.operators.emr_modify_cluster.EmrModifyClusterOperator" title="airflow.providers.amazon.aws.operators.emr_modify_cluster.EmrModifyClusterOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">EmrModifyClusterOperator</span></code></a></p></li>
<li><p><a class="reference internal" href="../_api/airflow/providers/amazon/aws/operators/emr_terminate_job_flow/index.html#airflow.providers.amazon.aws.operators.emr_terminate_job_flow.EmrTerminateJobFlowOperator" title="airflow.providers.amazon.aws.operators.emr_terminate_job_flow.EmrTerminateJobFlowOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">EmrTerminateJobFlowOperator</span></code></a></p></li>
</ul>
</div></blockquote>
<p>Two example_dags are provided which showcase these operators in action.</p>
<blockquote>
<div><ul class="simple">
<li><p>example_emr_job_flow_automatic_steps.py</p></li>
<li><p>example_emr_job_flow_manual_steps.py</p></li>
</ul>
</div></blockquote>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>In order to run the 2 examples successfully, you need to create the IAM Service Roles (<code class="docutils literal notranslate"><span class="pre">EMR_EC2_DefaultRole</span></code> and <code class="docutils literal notranslate"><span class="pre">EMR_DefaultRole</span></code>) for Amazon EMR.</p>
<p>You can create these roles using the AWS CLI: <code class="docutils literal notranslate"><span class="pre">aws</span> <span class="pre">emr</span> <span class="pre">create-default-roles</span></code></p>
</div>
</div>
<div class="section" id="create-emr-job-flow-with-automatic-steps">
<h2><a class="toc-backref" href="#id6">Create EMR Job Flow with automatic steps</a><a class="headerlink" href="#create-emr-job-flow-with-automatic-steps" title="Permalink to this headline"></a></h2>
<div class="section" id="purpose">
<h3>Purpose<a class="headerlink" href="#purpose" title="Permalink to this headline"></a></h3>
<p>This example dag <code class="docutils literal notranslate"><span class="pre">example_emr_job_flow_automatic_steps.py</span></code> use <code class="docutils literal notranslate"><span class="pre">EmrCreateJobFlowOperator</span></code> to create a new EMR job flow calculating the mathematical constant <code class="docutils literal notranslate"><span class="pre">Pi</span></code>, and monitor the progress
with <code class="docutils literal notranslate"><span class="pre">EmrJobFlowSensor</span></code>. The cluster will be terminated automatically after finishing the steps.</p>
</div>
<div class="section" id="jobflow-configuration">
<h3>JobFlow configuration<a class="headerlink" href="#jobflow-configuration" title="Permalink to this headline"></a></h3>
<p>To create a job flow at EMR, you need to specify the configuration for the EMR cluster:</p>
<div class="example-block-wrapper docutils container">
<p class="example-header example-header--with-button"><span class="example-title">airflow/providers/amazon/aws/example_dags/example_emr_job_flow_automatic_steps.py</span><a class="example-header-button viewcode-button reference internal" href="../_modules/airflow/providers/amazon/aws/example_dags/example_emr_job_flow_automatic_steps.html"><span>View Source</span></a></p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">SPARK_STEPS</span> <span class="o">=</span> <span class="p">[</span>
<span class="p">{</span>
<span class="s1">&#39;Name&#39;</span><span class="p">:</span> <span class="s1">&#39;calculate_pi&#39;</span><span class="p">,</span>
<span class="s1">&#39;ActionOnFailure&#39;</span><span class="p">:</span> <span class="s1">&#39;CONTINUE&#39;</span><span class="p">,</span>
<span class="s1">&#39;HadoopJarStep&#39;</span><span class="p">:</span> <span class="p">{</span>
<span class="s1">&#39;Jar&#39;</span><span class="p">:</span> <span class="s1">&#39;command-runner.jar&#39;</span><span class="p">,</span>
<span class="s1">&#39;Args&#39;</span><span class="p">:</span> <span class="p">[</span><span class="s1">&#39;/usr/lib/spark/bin/run-example&#39;</span><span class="p">,</span> <span class="s1">&#39;SparkPi&#39;</span><span class="p">,</span> <span class="s1">&#39;10&#39;</span><span class="p">],</span>
<span class="p">},</span>
<span class="p">}</span>
<span class="p">]</span>
<span class="n">JOB_FLOW_OVERRIDES</span> <span class="o">=</span> <span class="p">{</span>
<span class="s1">&#39;Name&#39;</span><span class="p">:</span> <span class="s1">&#39;PiCalc&#39;</span><span class="p">,</span>
<span class="s1">&#39;ReleaseLabel&#39;</span><span class="p">:</span> <span class="s1">&#39;emr-5.29.0&#39;</span><span class="p">,</span>
<span class="s1">&#39;Instances&#39;</span><span class="p">:</span> <span class="p">{</span>
<span class="s1">&#39;InstanceGroups&#39;</span><span class="p">:</span> <span class="p">[</span>
<span class="p">{</span>
<span class="s1">&#39;Name&#39;</span><span class="p">:</span> <span class="s1">&#39;Master node&#39;</span><span class="p">,</span>
<span class="s1">&#39;Market&#39;</span><span class="p">:</span> <span class="s1">&#39;SPOT&#39;</span><span class="p">,</span>
<span class="s1">&#39;InstanceRole&#39;</span><span class="p">:</span> <span class="s1">&#39;MASTER&#39;</span><span class="p">,</span>
<span class="s1">&#39;InstanceType&#39;</span><span class="p">:</span> <span class="s1">&#39;m1.medium&#39;</span><span class="p">,</span>
<span class="s1">&#39;InstanceCount&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
<span class="p">}</span>
<span class="p">],</span>
<span class="s1">&#39;KeepJobFlowAliveWhenNoSteps&#39;</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
<span class="s1">&#39;TerminationProtected&#39;</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
<span class="p">},</span>
<span class="s1">&#39;Steps&#39;</span><span class="p">:</span> <span class="n">SPARK_STEPS</span><span class="p">,</span>
<span class="s1">&#39;JobFlowRole&#39;</span><span class="p">:</span> <span class="s1">&#39;EMR_EC2_DefaultRole&#39;</span><span class="p">,</span>
<span class="s1">&#39;ServiceRole&#39;</span><span class="p">:</span> <span class="s1">&#39;EMR_DefaultRole&#39;</span><span class="p">,</span>
<span class="p">}</span>
</pre></div>
</div>
</div>
<p>Here we create a EMR single-node Cluster <em>PiCalc</em>. It only has a single step <em>calculate_pi</em> which calculates the value of <code class="docutils literal notranslate"><span class="pre">Pi</span></code> using Spark.
The config <code class="docutils literal notranslate"><span class="pre">'KeepJobFlowAliveWhenNoSteps':</span> <span class="pre">False</span></code> tells the cluster to shut down after the step is finished.
For more config information, please refer to <a class="reference external" href="https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/emr.html#EMR.Client.run_job_flow">Boto3 EMR client</a>.</p>
</div>
<div class="section" id="defining-tasks">
<h3>Defining tasks<a class="headerlink" href="#defining-tasks" title="Permalink to this headline"></a></h3>
<p>In the following code we are creating a new job flow, add a step, monitor the step, and then terminate the cluster.</p>
<div class="example-block-wrapper docutils container">
<p class="example-header example-header--with-button"><span class="example-title">airflow/providers/amazon/aws/example_dags/example_emr_job_flow_automatic_steps.py</span><a class="example-header-button viewcode-button reference internal" href="../_modules/airflow/providers/amazon/aws/example_dags/example_emr_job_flow_automatic_steps.html"><span>View Source</span></a></p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span> <span class="n">job_flow_creator</span> <span class="o">=</span> <span class="n">EmrCreateJobFlowOperator</span><span class="p">(</span>
<span class="n">task_id</span><span class="o">=</span><span class="s1">&#39;create_job_flow&#39;</span><span class="p">,</span>
<span class="n">job_flow_overrides</span><span class="o">=</span><span class="n">JOB_FLOW_OVERRIDES</span><span class="p">,</span>
<span class="n">aws_conn_id</span><span class="o">=</span><span class="s1">&#39;aws_default&#39;</span><span class="p">,</span>
<span class="n">emr_conn_id</span><span class="o">=</span><span class="s1">&#39;emr_default&#39;</span><span class="p">,</span>
<span class="p">)</span>
<span class="n">job_sensor</span> <span class="o">=</span> <span class="n">EmrJobFlowSensor</span><span class="p">(</span>
<span class="n">task_id</span><span class="o">=</span><span class="s1">&#39;check_job_flow&#39;</span><span class="p">,</span>
<span class="n">job_flow_id</span><span class="o">=</span><span class="s2">&quot;{{ task_instance.xcom_pull(task_ids=&#39;create_job_flow&#39;, key=&#39;return_value&#39;) }}&quot;</span><span class="p">,</span>
<span class="n">aws_conn_id</span><span class="o">=</span><span class="s1">&#39;aws_default&#39;</span><span class="p">,</span>
<span class="p">)</span>
<span class="n">job_flow_creator</span> <span class="o">&gt;&gt;</span> <span class="n">job_sensor</span>
</pre></div>
</div>
</div>
</div>
</div>
<div class="section" id="create-emr-job-flow-with-manual-steps">
<h2><a class="toc-backref" href="#id7">Create EMR Job Flow with manual steps</a><a class="headerlink" href="#create-emr-job-flow-with-manual-steps" title="Permalink to this headline"></a></h2>
<div class="section" id="id1">
<h3>Purpose<a class="headerlink" href="#id1" title="Permalink to this headline"></a></h3>
<p>This example dag <code class="docutils literal notranslate"><span class="pre">example_emr_job_flow_manual_steps.py</span></code> is similar to the previous one except that instead of adding job flow step during cluster creation,
we add the step after the cluster is created. And the cluster is manually terminated at the end.
This allows for further customization on how you want to run your jobs.</p>
</div>
<div class="section" id="id2">
<h3>JobFlow configuration<a class="headerlink" href="#id2" title="Permalink to this headline"></a></h3>
<p>The configuration is similar to the previous example, except that we set <code class="docutils literal notranslate"><span class="pre">'KeepJobFlowAliveWhenNoSteps':</span> <span class="pre">True</span></code> because we will terminate the cluster manually.
Also, we would not specify <code class="docutils literal notranslate"><span class="pre">Steps</span></code> in the config when creating the cluster.</p>
</div>
<div class="section" id="id3">
<h3>Defining tasks<a class="headerlink" href="#id3" title="Permalink to this headline"></a></h3>
<p>Here is the task definitions for our DAG.</p>
<div class="example-block-wrapper docutils container">
<p class="example-header example-header--with-button"><span class="example-title">airflow/providers/amazon/aws/example_dags/example_emr_job_flow_manual_steps.py</span><a class="example-header-button viewcode-button reference internal" href="../_modules/airflow/providers/amazon/aws/example_dags/example_emr_job_flow_manual_steps.html"><span>View Source</span></a></p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span> <span class="n">cluster_creator</span> <span class="o">=</span> <span class="n">EmrCreateJobFlowOperator</span><span class="p">(</span>
<span class="n">task_id</span><span class="o">=</span><span class="s1">&#39;create_job_flow&#39;</span><span class="p">,</span>
<span class="n">job_flow_overrides</span><span class="o">=</span><span class="n">JOB_FLOW_OVERRIDES</span><span class="p">,</span>
<span class="n">aws_conn_id</span><span class="o">=</span><span class="s1">&#39;aws_default&#39;</span><span class="p">,</span>
<span class="n">emr_conn_id</span><span class="o">=</span><span class="s1">&#39;emr_default&#39;</span><span class="p">,</span>
<span class="p">)</span>
<span class="n">step_adder</span> <span class="o">=</span> <span class="n">EmrAddStepsOperator</span><span class="p">(</span>
<span class="n">task_id</span><span class="o">=</span><span class="s1">&#39;add_steps&#39;</span><span class="p">,</span>
<span class="n">job_flow_id</span><span class="o">=</span><span class="s2">&quot;{{ task_instance.xcom_pull(task_ids=&#39;create_job_flow&#39;, key=&#39;return_value&#39;) }}&quot;</span><span class="p">,</span>
<span class="n">aws_conn_id</span><span class="o">=</span><span class="s1">&#39;aws_default&#39;</span><span class="p">,</span>
<span class="n">steps</span><span class="o">=</span><span class="n">SPARK_STEPS</span><span class="p">,</span>
<span class="p">)</span>
<span class="n">step_checker</span> <span class="o">=</span> <span class="n">EmrStepSensor</span><span class="p">(</span>
<span class="n">task_id</span><span class="o">=</span><span class="s1">&#39;watch_step&#39;</span><span class="p">,</span>
<span class="n">job_flow_id</span><span class="o">=</span><span class="s2">&quot;{{ task_instance.xcom_pull(&#39;create_job_flow&#39;, key=&#39;return_value&#39;) }}&quot;</span><span class="p">,</span>
<span class="n">step_id</span><span class="o">=</span><span class="s2">&quot;{{ task_instance.xcom_pull(task_ids=&#39;add_steps&#39;, key=&#39;return_value&#39;)[0] }}&quot;</span><span class="p">,</span>
<span class="n">aws_conn_id</span><span class="o">=</span><span class="s1">&#39;aws_default&#39;</span><span class="p">,</span>
<span class="p">)</span>
<span class="n">cluster_remover</span> <span class="o">=</span> <span class="n">EmrTerminateJobFlowOperator</span><span class="p">(</span>
<span class="n">task_id</span><span class="o">=</span><span class="s1">&#39;remove_cluster&#39;</span><span class="p">,</span>
<span class="n">job_flow_id</span><span class="o">=</span><span class="s2">&quot;{{ task_instance.xcom_pull(task_ids=&#39;create_job_flow&#39;, key=&#39;return_value&#39;) }}&quot;</span><span class="p">,</span>
<span class="n">aws_conn_id</span><span class="o">=</span><span class="s1">&#39;aws_default&#39;</span><span class="p">,</span>
<span class="p">)</span>
<span class="n">cluster_creator</span> <span class="o">&gt;&gt;</span> <span class="n">step_adder</span> <span class="o">&gt;&gt;</span> <span class="n">step_checker</span> <span class="o">&gt;&gt;</span> <span class="n">cluster_remover</span>
</pre></div>
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<p>For further information, look at:</p>
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<li><p><a class="reference external" href="https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/emr.html">Boto3 Library Documentation for EMR</a></p></li>
<li><p><a class="reference external" href="https://docs.aws.amazon.com/cli/latest/reference/emr/create-default-roles.html">AWS CLI - create-default-roles</a></p></li>
<li><p><a class="reference external" href="https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-iam-roles.html">Configure IAM Service Roles for Amazon EMR Permissions</a></p></li>
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