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<blockquote>
<div></div></blockquote>
<div class="section" id="aws-datasync-operator">
<span id="howto-operator-datasyncoperator"></span><h1>AWS DataSync Operator<a class="headerlink" href="#aws-datasync-operator" title="Permalink to this headline"></a></h1>
<div class="section" id="overview">
<h2>Overview<a class="headerlink" href="#overview" title="Permalink to this headline"></a></h2>
<p>Two example_dags are provided which showcase the
<a class="reference internal" href="../_api/airflow/providers/amazon/aws/operators/datasync/index.html#airflow.providers.amazon.aws.operators.datasync.DataSyncOperator" title="airflow.providers.amazon.aws.operators.datasync.DataSyncOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataSyncOperator</span></code></a>
in action.</p>
<blockquote>
<div><ul class="simple">
<li><p>example_datasync_1.py</p></li>
<li><p>example_datasync_2.py</p></li>
</ul>
</div></blockquote>
<p>Both examples use the <a class="reference internal" href="../_api/airflow/providers/amazon/aws/hooks/datasync/index.html#airflow.providers.amazon.aws.hooks.datasync.DataSyncHook" title="airflow.providers.amazon.aws.hooks.datasync.DataSyncHook"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataSyncHook</span></code></a>
to create a boto3 DataSync client. This hook in turn uses the <a class="reference internal" href="../_api/airflow/providers/amazon/aws/hooks/base_aws/index.html#airflow.providers.amazon.aws.hooks.base_aws.AwsBaseHook" title="airflow.providers.amazon.aws.hooks.base_aws.AwsBaseHook"><code class="xref py py-class docutils literal notranslate"><span class="pre">AwsBaseHook</span></code></a></p>
<p>Note this guide differentiates between an <em>Airflow task</em> (identified by a task_id on Airflow),
and an <em>AWS DataSync Task</em> (identified by a TaskArn on AWS).</p>
</div>
<div class="section" id="example-datasync-1-py">
<h2>example_datasync_1.py<a class="headerlink" href="#example-datasync-1-py" 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>With this DAG we show approaches catering for two simple use cases.</p>
<p>1.1 Specify a TaskARN to be executed.
1.2 Find an AWS DataSync TaskArn based on source and destination URIs, and execute it.</p>
</div>
<div class="section" id="environment-variables">
<h3>Environment variables<a class="headerlink" href="#environment-variables" title="Permalink to this headline"></a></h3>
<p>These examples rely on the following variables, which can be passed via OS environment variables.</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_datasync_1.py</span><a class="example-header-button viewcode-button reference internal" href="https://github.com/apache/airflow/tree/providers-amazon/3.2.0/airflow/providers/amazon/aws/example_dags/example_datasync_1.py" target="_blank"><span class="viewcode-link">[source]</span></a></p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">TASK_ARN</span> <span class="o">=</span> <span class="n">getenv</span><span class="p">(</span><span class="s2">&quot;TASK_ARN&quot;</span><span class="p">,</span> <span class="s2">&quot;my_aws_datasync_task_arn&quot;</span><span class="p">)</span>
</pre></div>
</div>
</div>
<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_datasync_1.py</span><a class="example-header-button viewcode-button reference internal" href="https://github.com/apache/airflow/tree/providers-amazon/3.2.0/airflow/providers/amazon/aws/example_dags/example_datasync_1.py" target="_blank"><span class="viewcode-link">[source]</span></a></p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">SOURCE_LOCATION_URI</span> <span class="o">=</span> <span class="n">getenv</span><span class="p">(</span><span class="s2">&quot;SOURCE_LOCATION_URI&quot;</span><span class="p">,</span> <span class="s2">&quot;smb://hostname/directory/&quot;</span><span class="p">)</span>
<span class="n">DESTINATION_LOCATION_URI</span> <span class="o">=</span> <span class="n">getenv</span><span class="p">(</span><span class="s2">&quot;DESTINATION_LOCATION_URI&quot;</span><span class="p">,</span> <span class="s2">&quot;s3://mybucket/prefix&quot;</span><span class="p">)</span>
</pre></div>
</div>
</div>
</div>
<div class="section" id="get-datasync-tasks">
<h3>Get DataSync Tasks<a class="headerlink" href="#get-datasync-tasks" title="Permalink to this headline"></a></h3>
<p>The <a class="reference internal" href="../_api/airflow/providers/amazon/aws/operators/datasync/index.html#airflow.providers.amazon.aws.operators.datasync.DataSyncOperator" title="airflow.providers.amazon.aws.operators.datasync.DataSyncOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataSyncOperator</span></code></a> can execute a specific
TaskArn by specifying the <code class="docutils literal notranslate"><span class="pre">task_arn</span></code> parameter. This is useful when you know the TaskArn you want to execute.</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_datasync_1.py</span><a class="example-header-button viewcode-button reference internal" href="https://github.com/apache/airflow/tree/providers-amazon/3.2.0/airflow/providers/amazon/aws/example_dags/example_datasync_1.py" target="_blank"><span class="viewcode-link">[source]</span></a></p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span> <span class="n">datasync_task_1</span> <span class="o">=</span> <span class="n">DataSyncOperator</span><span class="p">(</span><span class="n">task_id</span><span class="o">=</span><span class="s2">&quot;datasync_task_1&quot;</span><span class="p">,</span> <span class="n">task_arn</span><span class="o">=</span><span class="n">TASK_ARN</span><span class="p">)</span>
</pre></div>
</div>
</div>
<p>Alternatively, the operator can search in AWS DataSync for a Task based on
<code class="docutils literal notranslate"><span class="pre">source_location_uri</span></code> and <code class="docutils literal notranslate"><span class="pre">destination_location_uri</span></code>. For example, your
<code class="docutils literal notranslate"><span class="pre">source_location_uri</span></code> might point to your on-premises SMB / NFS share, and your
<code class="docutils literal notranslate"><span class="pre">destination_location_uri</span></code> might be an S3 bucket.</p>
<p>In AWS, DataSync Tasks are linked to source and destination Locations. A location has a LocationURI and
is referenced by a LocationArn much like other AWS resources.
The <a class="reference internal" href="../_api/airflow/providers/amazon/aws/operators/datasync/index.html#airflow.providers.amazon.aws.operators.datasync.DataSyncOperator" title="airflow.providers.amazon.aws.operators.datasync.DataSyncOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataSyncOperator</span></code></a>
can iterate all DataSync Tasks for their source and destination LocationArns. Then it checks
each LocationArn to see if its the URIs match the desired source / destination URI.</p>
<p>To perform a search based on the Location URIs, define the task as follows</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_datasync_1.py</span><a class="example-header-button viewcode-button reference internal" href="https://github.com/apache/airflow/tree/providers-amazon/3.2.0/airflow/providers/amazon/aws/example_dags/example_datasync_1.py" target="_blank"><span class="viewcode-link">[source]</span></a></p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span> <span class="n">datasync_task_2</span> <span class="o">=</span> <span class="n">DataSyncOperator</span><span class="p">(</span>
<span class="n">task_id</span><span class="o">=</span><span class="s2">&quot;datasync_task_2&quot;</span><span class="p">,</span>
<span class="n">source_location_uri</span><span class="o">=</span><span class="n">SOURCE_LOCATION_URI</span><span class="p">,</span>
<span class="n">destination_location_uri</span><span class="o">=</span><span class="n">DESTINATION_LOCATION_URI</span><span class="p">,</span>
<span class="p">)</span>
</pre></div>
</div>
</div>
<p>Note: The above configuration assumes there is always exactly one DataSync TaskArn in AWS that matches.
It will fail if either there were no matching TaskArns or if there were more than one matching TaskArn
defined already in AWS DataSync. You may want to add additional logic to handle other cases
- see example_datasync_2 and the <a class="reference internal" href="#operator-behaviour">Operator behaviour</a> section.</p>
</div>
</div>
<div class="section" id="example-datasync-2-py">
<h2>example_datasync_2.py<a class="headerlink" href="#example-datasync-2-py" 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>Show how DataSync Tasks and Locations can be automatically created, deleted and updated using the
<a class="reference internal" href="../_api/airflow/providers/amazon/aws/operators/datasync/index.html#airflow.providers.amazon.aws.operators.datasync.DataSyncOperator" title="airflow.providers.amazon.aws.operators.datasync.DataSyncOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataSyncOperator</span></code></a>.</p>
<p>Find and update a DataSync Task, or create one if it doesn't exist. Update the Task, then execute it.
Finally, delete it.</p>
</div>
<div class="section" id="id2">
<h3>Environment variables<a class="headerlink" href="#id2" title="Permalink to this headline"></a></h3>
<p>This example relies on the following variables, which can be passed via OS environment variables.</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_datasync_2.py</span><a class="example-header-button viewcode-button reference internal" href="https://github.com/apache/airflow/tree/providers-amazon/3.2.0/airflow/providers/amazon/aws/example_dags/example_datasync_2.py" target="_blank"><span class="viewcode-link">[source]</span></a></p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">SOURCE_LOCATION_URI</span> <span class="o">=</span> <span class="n">getenv</span><span class="p">(</span><span class="s2">&quot;SOURCE_LOCATION_URI&quot;</span><span class="p">,</span> <span class="s2">&quot;smb://hostname/directory/&quot;</span><span class="p">)</span>
<span class="n">DESTINATION_LOCATION_URI</span> <span class="o">=</span> <span class="n">getenv</span><span class="p">(</span><span class="s2">&quot;DESTINATION_LOCATION_URI&quot;</span><span class="p">,</span> <span class="s2">&quot;s3://mybucket/prefix&quot;</span><span class="p">)</span>
<span class="n">default_create_task_kwargs</span> <span class="o">=</span> <span class="s1">&#39;{&quot;Name&quot;: &quot;Created by Airflow&quot;}&#39;</span>
<span class="n">CREATE_TASK_KWARGS</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">loads</span><span class="p">(</span><span class="n">getenv</span><span class="p">(</span><span class="s2">&quot;CREATE_TASK_KWARGS&quot;</span><span class="p">,</span> <span class="n">default_create_task_kwargs</span><span class="p">))</span>
<span class="n">default_create_source_location_kwargs</span> <span class="o">=</span> <span class="s2">&quot;</span><span class="si">{}</span><span class="s2">&quot;</span>
<span class="n">CREATE_SOURCE_LOCATION_KWARGS</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">loads</span><span class="p">(</span>
<span class="n">getenv</span><span class="p">(</span><span class="s2">&quot;CREATE_SOURCE_LOCATION_KWARGS&quot;</span><span class="p">,</span> <span class="n">default_create_source_location_kwargs</span><span class="p">)</span>
<span class="p">)</span>
<span class="n">bucket_access_role_arn</span> <span class="o">=</span> <span class="s2">&quot;arn:aws:iam::11112223344:role/r-11112223344-my-bucket-access-role&quot;</span>
<span class="n">default_destination_location_kwargs</span> <span class="o">=</span> <span class="s2">&quot;&quot;&quot;</span><span class="se">\</span>
<span class="s2">{&quot;S3BucketArn&quot;: &quot;arn:aws:s3:::mybucket&quot;,</span>
<span class="s2"> &quot;S3Config&quot;: {&quot;BucketAccessRoleArn&quot;:</span>
<span class="s2"> &quot;arn:aws:iam::11112223344:role/r-11112223344-my-bucket-access-role&quot;}</span>
<span class="s2">}&quot;&quot;&quot;</span>
<span class="n">CREATE_DESTINATION_LOCATION_KWARGS</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">loads</span><span class="p">(</span>
<span class="n">getenv</span><span class="p">(</span><span class="s2">&quot;CREATE_DESTINATION_LOCATION_KWARGS&quot;</span><span class="p">,</span> <span class="n">re</span><span class="o">.</span><span class="n">sub</span><span class="p">(</span><span class="sa">r</span><span class="s2">&quot;[\s+]&quot;</span><span class="p">,</span> <span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="n">default_destination_location_kwargs</span><span class="p">))</span>
<span class="p">)</span>
<span class="n">default_update_task_kwargs</span> <span class="o">=</span> <span class="s1">&#39;{&quot;Name&quot;: &quot;Updated by Airflow&quot;}&#39;</span>
<span class="n">UPDATE_TASK_KWARGS</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">loads</span><span class="p">(</span><span class="n">getenv</span><span class="p">(</span><span class="s2">&quot;UPDATE_TASK_KWARGS&quot;</span><span class="p">,</span> <span class="n">default_update_task_kwargs</span><span class="p">))</span>
</pre></div>
</div>
</div>
</div>
<div class="section" id="get-create-update-run-and-delete-datasync-tasks">
<h3>Get, Create, Update, Run and Delete DataSync Tasks<a class="headerlink" href="#get-create-update-run-and-delete-datasync-tasks" title="Permalink to this headline"></a></h3>
<p>The <a class="reference internal" href="../_api/airflow/providers/amazon/aws/operators/datasync/index.html#airflow.providers.amazon.aws.operators.datasync.DataSyncOperator" title="airflow.providers.amazon.aws.operators.datasync.DataSyncOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataSyncOperator</span></code></a> is used
as before but with some extra arguments.</p>
<p>Most of the arguments (<code class="docutils literal notranslate"><span class="pre">CREATE_*_KWARGS</span></code>) provide a way for the operator to automatically create a Task
and/or Locations if no suitable existing Task was found. If these are left to their default value (None)
then no create will be attempted.</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_datasync_2.py</span><a class="example-header-button viewcode-button reference internal" href="https://github.com/apache/airflow/tree/providers-amazon/3.2.0/airflow/providers/amazon/aws/example_dags/example_datasync_2.py" target="_blank"><span class="viewcode-link">[source]</span></a></p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span> <span class="n">datasync_task</span> <span class="o">=</span> <span class="n">DataSyncOperator</span><span class="p">(</span>
<span class="n">task_id</span><span class="o">=</span><span class="s2">&quot;datasync_task&quot;</span><span class="p">,</span>
<span class="n">source_location_uri</span><span class="o">=</span><span class="n">SOURCE_LOCATION_URI</span><span class="p">,</span>
<span class="n">destination_location_uri</span><span class="o">=</span><span class="n">DESTINATION_LOCATION_URI</span><span class="p">,</span>
<span class="n">create_task_kwargs</span><span class="o">=</span><span class="n">CREATE_TASK_KWARGS</span><span class="p">,</span>
<span class="n">create_source_location_kwargs</span><span class="o">=</span><span class="n">CREATE_SOURCE_LOCATION_KWARGS</span><span class="p">,</span>
<span class="n">create_destination_location_kwargs</span><span class="o">=</span><span class="n">CREATE_DESTINATION_LOCATION_KWARGS</span><span class="p">,</span>
<span class="n">update_task_kwargs</span><span class="o">=</span><span class="n">UPDATE_TASK_KWARGS</span><span class="p">,</span>
<span class="n">delete_task_after_execution</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
<span class="p">)</span>
</pre></div>
</div>
</div>
<p>Note also the addition of <code class="docutils literal notranslate"><span class="pre">UPDATE_TASK_KWARGS</span></code>; if this is not None then it will be used to do an
update of the Task properties on AWS prior to the Task being executed.</p>
<p>Otherwise the behaviour is very similar to the first examples above. We want to identify a suitable TaskArn
based on some criteria (specified task_arn or source and dest URIs) and execute it. In this example,
the main differences are that we provide a way to create Tasks/Locations if none are found.</p>
<p>Also, because we specified <code class="docutils literal notranslate"><span class="pre">delete_task_after_execution=True</span></code>, the TaskArn will be deleted
from AWS DataSync after it completes successfully.</p>
</div>
</div>
<div class="section" id="operator-behaviour">
<h2>Operator behaviour<a class="headerlink" href="#operator-behaviour" title="Permalink to this headline"></a></h2>
<div class="section" id="datasync-task-execution-behaviour">
<h3>DataSync Task execution behaviour<a class="headerlink" href="#datasync-task-execution-behaviour" title="Permalink to this headline"></a></h3>
<p>Once the <a class="reference internal" href="../_api/airflow/providers/amazon/aws/operators/datasync/index.html#airflow.providers.amazon.aws.operators.datasync.DataSyncOperator" title="airflow.providers.amazon.aws.operators.datasync.DataSyncOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataSyncOperator</span></code></a> has identified
the correct TaskArn to run (either because you specified it, or because it was found), it will then be
executed. Whenever an AWS DataSync Task is executed it creates an AWS DataSync TaskExecution, identified
by a TaskExecutionArn.</p>
<p>The TaskExecutionArn will be monitored until completion (success / failure), and its status will be
periodically written to the Airflow task log.</p>
<p>After completion, the TaskExecution description is retrieved from AWS and dumped to the Airflow task log
for inspection.</p>
<p>Finally, both the TaskArn and the TaskExecutionArn are returned from the <code class="docutils literal notranslate"><span class="pre">execute()</span></code> method, and pushed to
an XCom automatically if <code class="docutils literal notranslate"><span class="pre">do_xcom_push=True</span></code>.</p>
<p>The <a class="reference internal" href="../_api/airflow/providers/amazon/aws/operators/datasync/index.html#airflow.providers.amazon.aws.operators.datasync.DataSyncOperator" title="airflow.providers.amazon.aws.operators.datasync.DataSyncOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataSyncOperator</span></code></a> supports
optional passing of additional kwargs to the underlying <code class="docutils literal notranslate"><span class="pre">boto3.start_task_execution()</span></code> API.
This is done with the <code class="docutils literal notranslate"><span class="pre">task_execution_kwargs</span></code> parameter.
This is useful for example to limit bandwidth or filter included files - refer to the boto3 Datasync
documentation for more details.</p>
</div>
<div class="section" id="taskarn-selection-behaviour">
<h3>TaskArn selection behaviour<a class="headerlink" href="#taskarn-selection-behaviour" title="Permalink to this headline"></a></h3>
<p>The <a class="reference internal" href="../_api/airflow/providers/amazon/aws/operators/datasync/index.html#airflow.providers.amazon.aws.operators.datasync.DataSyncOperator" title="airflow.providers.amazon.aws.operators.datasync.DataSyncOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataSyncOperator</span></code></a>
may find 0, 1, or many AWS DataSync Tasks with a matching <code class="docutils literal notranslate"><span class="pre">source_location_uri</span></code> and
<code class="docutils literal notranslate"><span class="pre">destination_location_uri</span></code>. The operator must decide what to do in each of these scenarios.</p>
<p>To override the default behaviour, simply create an operator which inherits
<a class="reference internal" href="../_api/airflow/providers/amazon/aws/operators/datasync/index.html#airflow.providers.amazon.aws.operators.datasync.DataSyncOperator" title="airflow.providers.amazon.aws.operators.datasync.DataSyncOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataSyncOperator</span></code></a>
and re-implement the <code class="docutils literal notranslate"><span class="pre">choose_task</span></code> and <code class="docutils literal notranslate"><span class="pre">choose_location</span></code> methods
to suit your use case.</p>
<p>Scenarios and behaviours:</p>
<blockquote>
<div><ul class="simple">
<li><p>No suitable AWS DataSync Tasks found</p></li>
</ul>
</div></blockquote>
<p>If there were 0 suitable AWS DataSync Tasks found, the operator will try to create one.
This operator will use existing Locations if any are found which match the source or destination
location uri that were specified. Or, if either location has no matching LocationArn in AWS then
the operator will attempt to create new Location/s if suitable kwargs were provided to do so.</p>
<blockquote>
<div><ul class="simple">
<li><p>1 AWS DataSync Task found</p></li>
</ul>
</div></blockquote>
<p>This is the simplest scenario - just use the one DataSync Task that was found :).</p>
<blockquote>
<div><ul class="simple">
<li><p>More than one AWS DataSync Tasks found</p></li>
</ul>
</div></blockquote>
<p>The operator will raise an Exception. To avoid this, you can set <code class="docutils literal notranslate"><span class="pre">allow_random_task_choice=True</span></code>
to randomly choose from candidate Tasks. Alternatively you can subclass this operator
and re-implement the <code class="docutils literal notranslate"><span class="pre">choose_task</span></code> method with your own algorithm.</p>
</div>
<div class="section" id="taskarn-creation-behaviour">
<h3>TaskArn creation behaviour<a class="headerlink" href="#taskarn-creation-behaviour" title="Permalink to this headline"></a></h3>
<p>When creating a Task, the
<a class="reference internal" href="../_api/airflow/providers/amazon/aws/operators/datasync/index.html#airflow.providers.amazon.aws.operators.datasync.DataSyncOperator" title="airflow.providers.amazon.aws.operators.datasync.DataSyncOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataSyncOperator</span></code></a> will try to find
and use existing LocationArns rather than creating new ones. If multiple LocationArns match the
specified URIs then we need to choose one to use. In this scenario, the operator behaves similarly
to how it chooses a single Task from many Tasks:</p>
<p>The operator will raise an Exception. To avoid this, you can set <code class="docutils literal notranslate"><span class="pre">allow_random_location_choice=True</span></code>
to randomly choose from candidate Locations. Alternatively you can subclass this operator
and re-implement the <code class="docutils literal notranslate"><span class="pre">choose_location</span></code> method with your own algorithm.</p>
</div>
</div>
<div class="section" id="reference">
<h2>Reference<a class="headerlink" href="#reference" title="Permalink to this headline"></a></h2>
<p>For further information, look at:</p>
<ul class="simple">
<li><p><a class="reference external" href="https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/datasync.html">AWS boto3 Library Documentation</a></p></li>
</ul>
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<li><a class="reference internal" href="#">AWS DataSync Operator</a><ul>
<li><a class="reference internal" href="#overview">Overview</a></li>
<li><a class="reference internal" href="#example-datasync-1-py">example_datasync_1.py</a><ul>
<li><a class="reference internal" href="#purpose">Purpose</a></li>
<li><a class="reference internal" href="#environment-variables">Environment variables</a></li>
<li><a class="reference internal" href="#get-datasync-tasks">Get DataSync Tasks</a></li>
</ul>
</li>
<li><a class="reference internal" href="#example-datasync-2-py">example_datasync_2.py</a><ul>
<li><a class="reference internal" href="#id1">Purpose</a></li>
<li><a class="reference internal" href="#id2">Environment variables</a></li>
<li><a class="reference internal" href="#get-create-update-run-and-delete-datasync-tasks">Get, Create, Update, Run and Delete DataSync Tasks</a></li>
</ul>
</li>
<li><a class="reference internal" href="#operator-behaviour">Operator behaviour</a><ul>
<li><a class="reference internal" href="#datasync-task-execution-behaviour">DataSync Task execution behaviour</a></li>
<li><a class="reference internal" href="#taskarn-selection-behaviour">TaskArn selection behaviour</a></li>
<li><a class="reference internal" href="#taskarn-creation-behaviour">TaskArn creation behaviour</a></li>
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<li><a class="reference internal" href="#reference">Reference</a></li>
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