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<div class="section" id="module-airflow.providers.google.cloud.operators.dataflow">
<span id="airflow-providers-google-cloud-operators-dataflow"></span><h1><a class="reference internal" href="#module-airflow.providers.google.cloud.operators.dataflow" title="airflow.providers.google.cloud.operators.dataflow"><code class="xref py py-mod docutils literal notranslate"><span class="pre">airflow.providers.google.cloud.operators.dataflow</span></code></a><a class="headerlink" href="#module-airflow.providers.google.cloud.operators.dataflow" title="Permalink to this headline"></a></h1>
<p><p>This module contains Google Dataflow operators.</p>
</p>
<div class="section" id="module-contents">
<h2>Module Contents<a class="headerlink" href="#module-contents" title="Permalink to this headline"></a></h2>
<dl class="py class">
<dt id="airflow.providers.google.cloud.operators.dataflow.CheckJobRunning">
<em class="property">class </em><code class="sig-prename descclassname">airflow.providers.google.cloud.operators.dataflow.</code><code class="sig-name descname">CheckJobRunning</code><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/dataflow.html#CheckJobRunning"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.dataflow.CheckJobRunning" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/enum.html#enum.Enum" title="(in Python v3.9)"><code class="xref py py-class docutils literal notranslate"><span class="pre">enum.Enum</span></code></a></p>
<p>Helper enum for choosing what to do if job is already running
IgnoreJob - do not check if running
FinishIfRunning - finish current dag run with no action
WaitForRun - wait for job to finish and then continue with new job</p>
<dl class="py attribute">
<dt id="airflow.providers.google.cloud.operators.dataflow.CheckJobRunning.IgnoreJob">
<code class="sig-name descname">IgnoreJob</code><em class="property"> = 1</em><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/dataflow.html#CheckJobRunning.IgnoreJob"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.dataflow.CheckJobRunning.IgnoreJob" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py attribute">
<dt id="airflow.providers.google.cloud.operators.dataflow.CheckJobRunning.FinishIfRunning">
<code class="sig-name descname">FinishIfRunning</code><em class="property"> = 2</em><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/dataflow.html#CheckJobRunning.FinishIfRunning"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.dataflow.CheckJobRunning.FinishIfRunning" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py attribute">
<dt id="airflow.providers.google.cloud.operators.dataflow.CheckJobRunning.WaitForRun">
<code class="sig-name descname">WaitForRun</code><em class="property"> = 3</em><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/dataflow.html#CheckJobRunning.WaitForRun"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.dataflow.CheckJobRunning.WaitForRun" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="airflow.providers.google.cloud.operators.dataflow.DataflowCreateJavaJobOperator">
<em class="property">class </em><code class="sig-prename descclassname">airflow.providers.google.cloud.operators.dataflow.</code><code class="sig-name descname">DataflowCreateJavaJobOperator</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">*</span></em>, <em class="sig-param"><span class="n">jar</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span></em>, <em class="sig-param"><span class="n">job_name</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">'{{task.task_id}}'</span></em>, <em class="sig-param"><span class="n">dataflow_default_options</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.9)">dict</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">options</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.9)">dict</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">project_id</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">location</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">DEFAULT_DATAFLOW_LOCATION</span></em>, <em class="sig-param"><span class="n">gcp_conn_id</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">'google_cloud_default'</span></em>, <em class="sig-param"><span class="n">delegate_to</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">poll_sleep</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.9)">int</a></span> <span class="o">=</span> <span class="default_value">10</span></em>, <em class="sig-param"><span class="n">job_class</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">check_if_running</span><span class="p">:</span> <span class="n"><a class="reference internal" href="#airflow.providers.google.cloud.operators.dataflow.CheckJobRunning" title="airflow.providers.google.cloud.operators.dataflow.CheckJobRunning">CheckJobRunning</a></span> <span class="o">=</span> <span class="default_value">CheckJobRunning.WaitForRun</span></em>, <em class="sig-param"><span class="n">multiple_jobs</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.9)">bool</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">cancel_timeout</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.9)">int</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">10 * 60</span></em>, <em class="sig-param"><span class="n">wait_until_finished</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.9)">bool</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/dataflow.html#DataflowCreateJavaJobOperator"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.dataflow.DataflowCreateJavaJobOperator" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference external" href="/docs/apache-airflow/stable/_api/airflow/models/index.html#airflow.models.BaseOperator" title="(in apache-airflow v2.0.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">airflow.models.BaseOperator</span></code></a></p>
<p>Start a Java Cloud DataFlow batch job. The parameters of the operation
will be passed to the job.</p>
<p><strong>Example</strong>:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">default_args</span> <span class="o">=</span> <span class="p">{</span>
<span class="s1">&#39;owner&#39;</span><span class="p">:</span> <span class="s1">&#39;airflow&#39;</span><span class="p">,</span>
<span class="s1">&#39;depends_on_past&#39;</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
<span class="s1">&#39;start_date&#39;</span><span class="p">:</span>
<span class="p">(</span><span class="mi">2016</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span>
<span class="s1">&#39;email&#39;</span><span class="p">:</span> <span class="p">[</span><span class="s1">&#39;alex@vanboxel.be&#39;</span><span class="p">],</span>
<span class="s1">&#39;email_on_failure&#39;</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
<span class="s1">&#39;email_on_retry&#39;</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
<span class="s1">&#39;retries&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
<span class="s1">&#39;retry_delay&#39;</span><span class="p">:</span> <span class="n">timedelta</span><span class="p">(</span><span class="n">minutes</span><span class="o">=</span><span class="mi">30</span><span class="p">),</span>
<span class="s1">&#39;dataflow_default_options&#39;</span><span class="p">:</span> <span class="p">{</span>
<span class="s1">&#39;project&#39;</span><span class="p">:</span> <span class="s1">&#39;my-gcp-project&#39;</span><span class="p">,</span>
<span class="s1">&#39;zone&#39;</span><span class="p">:</span> <span class="s1">&#39;us-central1-f&#39;</span><span class="p">,</span>
<span class="s1">&#39;stagingLocation&#39;</span><span class="p">:</span> <span class="s1">&#39;gs://bucket/tmp/dataflow/staging/&#39;</span><span class="p">,</span>
<span class="p">}</span>
<span class="p">}</span>
<span class="n">dag</span> <span class="o">=</span> <span class="n">DAG</span><span class="p">(</span><span class="s1">&#39;test-dag&#39;</span><span class="p">,</span> <span class="n">default_args</span><span class="o">=</span><span class="n">default_args</span><span class="p">)</span>
<span class="n">task</span> <span class="o">=</span> <span class="n">DataFlowJavaOperator</span><span class="p">(</span>
<span class="n">gcp_conn_id</span><span class="o">=</span><span class="s1">&#39;gcp_default&#39;</span><span class="p">,</span>
<span class="n">task_id</span><span class="o">=</span><span class="s1">&#39;normalize-cal&#39;</span><span class="p">,</span>
<span class="n">jar</span><span class="o">=</span><span class="s1">&#39;{{var.value.gcp_dataflow_base}}pipeline-ingress-cal-normalize-1.0.jar&#39;</span><span class="p">,</span>
<span class="n">options</span><span class="o">=</span><span class="p">{</span>
<span class="s1">&#39;autoscalingAlgorithm&#39;</span><span class="p">:</span> <span class="s1">&#39;BASIC&#39;</span><span class="p">,</span>
<span class="s1">&#39;maxNumWorkers&#39;</span><span class="p">:</span> <span class="s1">&#39;50&#39;</span><span class="p">,</span>
<span class="s1">&#39;start&#39;</span><span class="p">:</span> <span class="s1">&#39;{{ds}}&#39;</span><span class="p">,</span>
<span class="s1">&#39;partitionType&#39;</span><span class="p">:</span> <span class="s1">&#39;DAY&#39;</span>
<span class="p">},</span>
<span class="n">dag</span><span class="o">=</span><span class="n">dag</span><span class="p">)</span>
</pre></div>
</div>
<div class="admonition seealso">
<p class="admonition-title">See also</p>
<p>For more detail on job submission have a look at the reference:
<a class="reference external" href="https://cloud.google.com/dataflow/pipelines/specifying-exec-params">https://cloud.google.com/dataflow/pipelines/specifying-exec-params</a></p>
</div>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>jar</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The reference to a self executing DataFlow jar (templated).</p></li>
<li><p><strong>job_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The 'jobName' to use when executing the DataFlow job
(templated). This ends up being set in the pipeline options, so any entry
with key <code class="docutils literal notranslate"><span class="pre">'jobName'</span></code> in <code class="docutils literal notranslate"><span class="pre">options</span></code> will be overwritten.</p></li>
<li><p><strong>dataflow_default_options</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.9)"><em>dict</em></a>) -- Map of default job options.</p></li>
<li><p><strong>options</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.9)"><em>dict</em></a>) -- <p>Map of job specific options.The key must be a dictionary.
The value can contain different types:</p>
<ul>
<li><p>If the value is None, the single option - <code class="docutils literal notranslate"><span class="pre">--key</span></code> (without value) will be added.</p></li>
<li><p>If the value is False, this option will be skipped</p></li>
<li><p>If the value is True, the single option - <code class="docutils literal notranslate"><span class="pre">--key</span></code> (without value) will be added.</p></li>
<li><p>If the value is list, the many options will be added for each key.
If the value is <code class="docutils literal notranslate"><span class="pre">['A',</span> <span class="pre">'B']</span></code> and the key is <code class="docutils literal notranslate"><span class="pre">key</span></code> then the <code class="docutils literal notranslate"><span class="pre">--key=A</span> <span class="pre">--key-B</span></code> options
will be left</p></li>
<li><p>Other value types will be replaced with the Python textual representation.</p></li>
</ul>
<p>When defining labels (<code class="docutils literal notranslate"><span class="pre">labels</span></code> option), you can also provide a dictionary.</p>
</p></li>
<li><p><strong>project_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- Optional, the Google Cloud project ID in which to start a job.
If set to None or missing, the default project_id from the Google Cloud connection is used.</p></li>
<li><p><strong>location</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- Job location.</p></li>
<li><p><strong>gcp_conn_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The connection ID to use connecting to Google Cloud.</p></li>
<li><p><strong>delegate_to</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making the request must have
domain-wide delegation enabled.</p></li>
<li><p><strong>poll_sleep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.9)"><em>int</em></a>) -- The time in seconds to sleep between polling Google
Cloud Platform for the dataflow job status while the job is in the
JOB_STATE_RUNNING state.</p></li>
<li><p><strong>job_class</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The name of the dataflow job class to be executed, it
is often not the main class configured in the dataflow jar file.</p></li>
<li><p><strong>multiple_jobs</strong> (<em>boolean</em>) -- If pipeline creates multiple jobs then monitor all jobs</p></li>
<li><p><strong>check_if_running</strong> (CheckJobRunning(IgnoreJob = do not check if running, FinishIfRunning=
if job is running finish with nothing, WaitForRun= wait until job finished and the run job)
<code class="docutils literal notranslate"><span class="pre">jar</span></code>, <code class="docutils literal notranslate"><span class="pre">options</span></code>, and <code class="docutils literal notranslate"><span class="pre">job_name</span></code> are templated so you can use variables in them.) -- before running job, validate that a previous run is not in process</p></li>
<li><p><strong>cancel_timeout</strong> (<em>Optional</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.9)"><em>int</em></a><em>]</em>) -- How long (in seconds) operator should wait for the pipeline to be
successfully cancelled when task is being killed.</p></li>
<li><p><strong>wait_until_finished</strong> (<em>Optional</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.9)"><em>bool</em></a><em>]</em>) -- <p>(Optional)
If True, wait for the end of pipeline execution before exiting.
If False, only submits job.
If None, default behavior.</p>
<p>The default behavior depends on the type of pipeline:</p>
<ul>
<li><p>for the streaming pipeline, wait for jobs to start,</p></li>
<li><p>for the batch pipeline, wait for the jobs to complete.</p></li>
</ul>
<div class="admonition warning">
<p class="admonition-title">Warning</p>
<p>You cannot call <code class="docutils literal notranslate"><span class="pre">PipelineResult.wait_until_finish</span></code> method in your pipeline code for the operator
to work properly. i. e. you must use asynchronous execution. Otherwise, your pipeline will
always wait until finished. For more information, look at:
<a class="reference external" href="https://cloud.google.com/dataflow/docs/guides/specifying-exec-params#python_10">Asynchronous execution</a></p>
</div>
<p>The process of starting the Dataflow job in Airflow consists of two steps:</p>
<ul>
<li><p>running a subprocess and reading the stderr/stderr log for the job id.</p></li>
<li><p>loop waiting for the end of the job ID from the previous step.
This loop checks the status of the job.</p></li>
</ul>
<p>Step two is started just after step one has finished, so if you have wait_until_finished in your
pipeline code, step two will not start until the process stops. When this process stops,
steps two will run, but it will only execute one iteration as the job will be in a terminal state.</p>
<p>If you in your pipeline do not call the wait_for_pipeline method but pass wait_until_finish=True
to the operator, the second loop will wait for the job's terminal state.</p>
<p>If you in your pipeline do not call the wait_for_pipeline method, and pass wait_until_finish=False
to the operator, the second loop will check once is job not in terminal state and exit the loop.</p>
</p></li>
</ul>
</dd>
</dl>
<p>Note that both
<code class="docutils literal notranslate"><span class="pre">dataflow_default_options</span></code> and <code class="docutils literal notranslate"><span class="pre">options</span></code> will be merged to specify pipeline
execution parameter, and <code class="docutils literal notranslate"><span class="pre">dataflow_default_options</span></code> is expected to save
high-level options, for instances, project and zone information, which
apply to all dataflow operators in the DAG.</p>
<p>It's a good practice to define dataflow_* parameters in the default_args of the dag
like the project, zone and staging location.</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">default_args</span> <span class="o">=</span> <span class="p">{</span>
<span class="s1">&#39;dataflow_default_options&#39;</span><span class="p">:</span> <span class="p">{</span>
<span class="s1">&#39;zone&#39;</span><span class="p">:</span> <span class="s1">&#39;europe-west1-d&#39;</span><span class="p">,</span>
<span class="s1">&#39;stagingLocation&#39;</span><span class="p">:</span> <span class="s1">&#39;gs://my-staging-bucket/staging/&#39;</span>
<span class="p">}</span>
<span class="p">}</span>
</pre></div>
</div>
<p>You need to pass the path to your dataflow as a file reference with the <code class="docutils literal notranslate"><span class="pre">jar</span></code>
parameter, the jar needs to be a self executing jar (see documentation here:
<a class="reference external" href="https://beam.apache.org/documentation/runners/dataflow/#self-executing-jar">https://beam.apache.org/documentation/runners/dataflow/#self-executing-jar</a>).
Use <code class="docutils literal notranslate"><span class="pre">options</span></code> to pass on options to your job.</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">t1</span> <span class="o">=</span> <span class="n">DataFlowJavaOperator</span><span class="p">(</span>
<span class="n">task_id</span><span class="o">=</span><span class="s1">&#39;dataflow_example&#39;</span><span class="p">,</span>
<span class="n">jar</span><span class="o">=</span><span class="s1">&#39;{{var.value.gcp_dataflow_base}}pipeline/build/libs/pipeline-example-1.0.jar&#39;</span><span class="p">,</span>
<span class="n">options</span><span class="o">=</span><span class="p">{</span>
<span class="s1">&#39;autoscalingAlgorithm&#39;</span><span class="p">:</span> <span class="s1">&#39;BASIC&#39;</span><span class="p">,</span>
<span class="s1">&#39;maxNumWorkers&#39;</span><span class="p">:</span> <span class="s1">&#39;50&#39;</span><span class="p">,</span>
<span class="s1">&#39;start&#39;</span><span class="p">:</span> <span class="s1">&#39;{{ds}}&#39;</span><span class="p">,</span>
<span class="s1">&#39;partitionType&#39;</span><span class="p">:</span> <span class="s1">&#39;DAY&#39;</span><span class="p">,</span>
<span class="s1">&#39;labels&#39;</span><span class="p">:</span> <span class="p">{</span><span class="s1">&#39;foo&#39;</span> <span class="p">:</span> <span class="s1">&#39;bar&#39;</span><span class="p">}</span>
<span class="p">},</span>
<span class="n">gcp_conn_id</span><span class="o">=</span><span class="s1">&#39;airflow-conn-id&#39;</span><span class="p">,</span>
<span class="n">dag</span><span class="o">=</span><span class="n">my</span><span class="o">-</span><span class="n">dag</span><span class="p">)</span>
</pre></div>
</div>
<dl class="py attribute">
<dt id="airflow.providers.google.cloud.operators.dataflow.DataflowCreateJavaJobOperator.template_fields">
<code class="sig-name descname">template_fields</code><em class="property"> = ['options', 'jar', 'job_name']</em><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/dataflow.html#DataflowCreateJavaJobOperator.template_fields"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.dataflow.DataflowCreateJavaJobOperator.template_fields" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py attribute">
<dt id="airflow.providers.google.cloud.operators.dataflow.DataflowCreateJavaJobOperator.ui_color">
<code class="sig-name descname">ui_color</code><em class="property"> = #0273d4</em><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/dataflow.html#DataflowCreateJavaJobOperator.ui_color"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.dataflow.DataflowCreateJavaJobOperator.ui_color" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="airflow.providers.google.cloud.operators.dataflow.DataflowCreateJavaJobOperator.execute">
<code class="sig-name descname">execute</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em>, <em class="sig-param"><span class="n">context</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/dataflow.html#DataflowCreateJavaJobOperator.execute"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.dataflow.DataflowCreateJavaJobOperator.execute" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="airflow.providers.google.cloud.operators.dataflow.DataflowCreateJavaJobOperator.on_kill">
<code class="sig-name descname">on_kill</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/dataflow.html#DataflowCreateJavaJobOperator.on_kill"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.dataflow.DataflowCreateJavaJobOperator.on_kill" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="airflow.providers.google.cloud.operators.dataflow.DataflowTemplatedJobStartOperator">
<em class="property">class </em><code class="sig-prename descclassname">airflow.providers.google.cloud.operators.dataflow.</code><code class="sig-name descname">DataflowTemplatedJobStartOperator</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">*</span></em>, <em class="sig-param"><span class="n">template</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span></em>, <em class="sig-param"><span class="n">job_name</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">'{{task.task_id}}'</span></em>, <em class="sig-param"><span class="n">options</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>Dict<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">, </span>Any<span class="p">]</span><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">dataflow_default_options</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>Dict<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">, </span>Any<span class="p">]</span><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">parameters</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>Dict<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">, </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">project_id</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">location</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">DEFAULT_DATAFLOW_LOCATION</span></em>, <em class="sig-param"><span class="n">gcp_conn_id</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">'google_cloud_default'</span></em>, <em class="sig-param"><span class="n">delegate_to</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">poll_sleep</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.9)">int</a></span> <span class="o">=</span> <span class="default_value">10</span></em>, <em class="sig-param"><span class="n">impersonation_chain</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>Union<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">, </span>Sequence<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span><span class="p">]</span><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">environment</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>Dict<span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">cancel_timeout</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.9)">int</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">10 * 60</span></em>, <em class="sig-param"><span class="n">wait_until_finished</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.9)">bool</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/dataflow.html#DataflowTemplatedJobStartOperator"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.dataflow.DataflowTemplatedJobStartOperator" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference external" href="/docs/apache-airflow/stable/_api/airflow/models/index.html#airflow.models.BaseOperator" title="(in apache-airflow v2.0.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">airflow.models.BaseOperator</span></code></a></p>
<p>Start a Templated Cloud DataFlow job. The parameters of the operation
will be passed to the job.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>template</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The reference to the DataFlow template.</p></li>
<li><p><strong>job_name</strong> -- The 'jobName' to use when executing the DataFlow template
(templated).</p></li>
<li><p><strong>options</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.9)"><em>dict</em></a>) -- <p>Map of job runtime environment options.
It will update environment argument if passed.</p>
<div class="admonition seealso">
<p class="admonition-title">See also</p>
<p>For more information on possible configurations, look at the API documentation
<a class="reference external" href="https://cloud.google.com/dataflow/docs/reference/rest/v1b3/RuntimeEnvironment">https://cloud.google.com/dataflow/pipelines/specifying-exec-params</a></p>
</div>
</p></li>
<li><p><strong>dataflow_default_options</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.9)"><em>dict</em></a>) -- Map of default job environment options.</p></li>
<li><p><strong>parameters</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.9)"><em>dict</em></a>) -- Map of job specific parameters for the template.</p></li>
<li><p><strong>project_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- Optional, the Google Cloud project ID in which to start a job.
If set to None or missing, the default project_id from the Google Cloud connection is used.</p></li>
<li><p><strong>location</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- Job location.</p></li>
<li><p><strong>gcp_conn_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The connection ID to use connecting to Google Cloud.</p></li>
<li><p><strong>delegate_to</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making the request must have
domain-wide delegation enabled.</p></li>
<li><p><strong>poll_sleep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.9)"><em>int</em></a>) -- The time in seconds to sleep between polling Google
Cloud Platform for the dataflow job status while the job is in the
JOB_STATE_RUNNING state.</p></li>
<li><p><strong>impersonation_chain</strong> (<em>Union</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>, </em><em>Sequence</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>]</em><em>]</em>) -- Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).</p></li>
<li><p><strong>cancel_timeout</strong> (<em>Optional</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.9)"><em>int</em></a><em>]</em>) -- How long (in seconds) operator should wait for the pipeline to be
successfully cancelled when task is being killed.</p></li>
<li><p><strong>wait_until_finished</strong> (<em>Optional</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.9)"><em>bool</em></a><em>]</em>) -- <p>(Optional)
If True, wait for the end of pipeline execution before exiting.
If False, only submits job.
If None, default behavior.</p>
<p>The default behavior depends on the type of pipeline:</p>
<ul>
<li><p>for the streaming pipeline, wait for jobs to start,</p></li>
<li><p>for the batch pipeline, wait for the jobs to complete.</p></li>
</ul>
<div class="admonition warning">
<p class="admonition-title">Warning</p>
<p>You cannot call <code class="docutils literal notranslate"><span class="pre">PipelineResult.wait_until_finish</span></code> method in your pipeline code for the operator
to work properly. i. e. you must use asynchronous execution. Otherwise, your pipeline will
always wait until finished. For more information, look at:
<a class="reference external" href="https://cloud.google.com/dataflow/docs/guides/specifying-exec-params#python_10">Asynchronous execution</a></p>
</div>
<p>The process of starting the Dataflow job in Airflow consists of two steps:</p>
<ul>
<li><p>running a subprocess and reading the stderr/stderr log for the job id.</p></li>
<li><p>loop waiting for the end of the job ID from the previous step.
This loop checks the status of the job.</p></li>
</ul>
<p>Step two is started just after step one has finished, so if you have wait_until_finished in your
pipeline code, step two will not start until the process stops. When this process stops,
steps two will run, but it will only execute one iteration as the job will be in a terminal state.</p>
<p>If you in your pipeline do not call the wait_for_pipeline method but pass wait_until_finish=True
to the operator, the second loop will wait for the job's terminal state.</p>
<p>If you in your pipeline do not call the wait_for_pipeline method, and pass wait_until_finish=False
to the operator, the second loop will check once is job not in terminal state and exit the loop.</p>
</p></li>
</ul>
</dd>
</dl>
<p>It's a good practice to define dataflow_* parameters in the default_args of the dag
like the project, zone and staging location.</p>
<div class="admonition seealso">
<p class="admonition-title">See also</p>
<p><a class="reference external" href="https://cloud.google.com/dataflow/docs/reference/rest/v1b3/LaunchTemplateParameters">https://cloud.google.com/dataflow/docs/reference/rest/v1b3/LaunchTemplateParameters</a>
<a class="reference external" href="https://cloud.google.com/dataflow/docs/reference/rest/v1b3/RuntimeEnvironment">https://cloud.google.com/dataflow/docs/reference/rest/v1b3/RuntimeEnvironment</a></p>
</div>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">default_args</span> <span class="o">=</span> <span class="p">{</span>
<span class="s1">&#39;dataflow_default_options&#39;</span><span class="p">:</span> <span class="p">{</span>
<span class="s1">&#39;zone&#39;</span><span class="p">:</span> <span class="s1">&#39;europe-west1-d&#39;</span><span class="p">,</span>
<span class="s1">&#39;tempLocation&#39;</span><span class="p">:</span> <span class="s1">&#39;gs://my-staging-bucket/staging/&#39;</span><span class="p">,</span>
<span class="p">}</span>
<span class="p">}</span>
<span class="p">}</span>
</pre></div>
</div>
<p>You need to pass the path to your dataflow template as a file reference with the
<code class="docutils literal notranslate"><span class="pre">template</span></code> parameter. Use <code class="docutils literal notranslate"><span class="pre">parameters</span></code> to pass on parameters to your job.
Use <code class="docutils literal notranslate"><span class="pre">environment</span></code> to pass on runtime environment variables to your job.</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">t1</span> <span class="o">=</span> <span class="n">DataflowTemplateOperator</span><span class="p">(</span>
<span class="n">task_id</span><span class="o">=</span><span class="s1">&#39;dataflow_example&#39;</span><span class="p">,</span>
<span class="n">template</span><span class="o">=</span><span class="s1">&#39;{{var.value.gcp_dataflow_base}}&#39;</span><span class="p">,</span>
<span class="n">parameters</span><span class="o">=</span><span class="p">{</span>
<span class="s1">&#39;inputFile&#39;</span><span class="p">:</span> <span class="s2">&quot;gs://bucket/input/my_input.txt&quot;</span><span class="p">,</span>
<span class="s1">&#39;outputFile&#39;</span><span class="p">:</span> <span class="s2">&quot;gs://bucket/output/my_output.txt&quot;</span>
<span class="p">},</span>
<span class="n">gcp_conn_id</span><span class="o">=</span><span class="s1">&#39;airflow-conn-id&#39;</span><span class="p">,</span>
<span class="n">dag</span><span class="o">=</span><span class="n">my</span><span class="o">-</span><span class="n">dag</span><span class="p">)</span>
</pre></div>
</div>
<p><code class="docutils literal notranslate"><span class="pre">template</span></code>, <code class="docutils literal notranslate"><span class="pre">dataflow_default_options</span></code>, <code class="docutils literal notranslate"><span class="pre">parameters</span></code>, and <code class="docutils literal notranslate"><span class="pre">job_name</span></code> are
templated so you can use variables in them.</p>
<p>Note that <code class="docutils literal notranslate"><span class="pre">dataflow_default_options</span></code> is expected to save high-level options
for project information, which apply to all dataflow operators in the DAG.</p>
<blockquote>
<div><div class="admonition seealso">
<p class="admonition-title">See also</p>
<p><a class="reference external" href="https://cloud.google.com/dataflow/docs/reference/rest/v1b3">https://cloud.google.com/dataflow/docs/reference/rest/v1b3</a>
/LaunchTemplateParameters
<a class="reference external" href="https://cloud.google.com/dataflow/docs/reference/rest/v1b3/RuntimeEnvironment">https://cloud.google.com/dataflow/docs/reference/rest/v1b3/RuntimeEnvironment</a>
For more detail on job template execution have a look at the reference:
<a class="reference external" href="https://cloud.google.com/dataflow/docs/templates/executing-templates">https://cloud.google.com/dataflow/docs/templates/executing-templates</a></p>
</div>
</div></blockquote>
<dl class="py attribute">
<dt id="airflow.providers.google.cloud.operators.dataflow.DataflowTemplatedJobStartOperator.template_fields">
<code class="sig-name descname">template_fields</code><em class="property"> = ['template', 'job_name', 'options', 'parameters', 'project_id', 'location', 'gcp_conn_id', 'impersonation_chain', 'environment']</em><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/dataflow.html#DataflowTemplatedJobStartOperator.template_fields"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.dataflow.DataflowTemplatedJobStartOperator.template_fields" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py attribute">
<dt id="airflow.providers.google.cloud.operators.dataflow.DataflowTemplatedJobStartOperator.ui_color">
<code class="sig-name descname">ui_color</code><em class="property"> = #0273d4</em><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/dataflow.html#DataflowTemplatedJobStartOperator.ui_color"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.dataflow.DataflowTemplatedJobStartOperator.ui_color" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="airflow.providers.google.cloud.operators.dataflow.DataflowTemplatedJobStartOperator.execute">
<code class="sig-name descname">execute</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em>, <em class="sig-param"><span class="n">context</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/dataflow.html#DataflowTemplatedJobStartOperator.execute"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.dataflow.DataflowTemplatedJobStartOperator.execute" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="airflow.providers.google.cloud.operators.dataflow.DataflowTemplatedJobStartOperator.on_kill">
<code class="sig-name descname">on_kill</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/dataflow.html#DataflowTemplatedJobStartOperator.on_kill"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.dataflow.DataflowTemplatedJobStartOperator.on_kill" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="airflow.providers.google.cloud.operators.dataflow.DataflowStartFlexTemplateOperator">
<em class="property">class </em><code class="sig-prename descclassname">airflow.providers.google.cloud.operators.dataflow.</code><code class="sig-name descname">DataflowStartFlexTemplateOperator</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">body</span><span class="p">:</span> <span class="n">Dict</span></em>, <em class="sig-param"><span class="n">location</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span></em>, <em class="sig-param"><span class="n">project_id</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">gcp_conn_id</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">'google_cloud_default'</span></em>, <em class="sig-param"><span class="n">delegate_to</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">drain_pipeline</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.9)">bool</a></span> <span class="o">=</span> <span class="default_value">False</span></em>, <em class="sig-param"><span class="n">cancel_timeout</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.9)">int</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">10 * 60</span></em>, <em class="sig-param"><span class="n">wait_until_finished</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.9)">bool</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="o">*</span><span class="n">args</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/dataflow.html#DataflowStartFlexTemplateOperator"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.dataflow.DataflowStartFlexTemplateOperator" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference external" href="/docs/apache-airflow/stable/_api/airflow/models/index.html#airflow.models.BaseOperator" title="(in apache-airflow v2.0.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">airflow.models.BaseOperator</span></code></a></p>
<p>Starts flex templates with the Dataflow pipeline.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>body</strong> -- The request body. See:
<a class="reference external" href="https://cloud.google.com/dataflow/docs/reference/rest/v1b3/projects.locations.flexTemplates/launch#request-body">https://cloud.google.com/dataflow/docs/reference/rest/v1b3/projects.locations.flexTemplates/launch#request-body</a></p></li>
<li><p><strong>location</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The location of the Dataflow job (for example europe-west1)</p></li>
<li><p><strong>project_id</strong> (<em>Optional</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>]</em>) -- The ID of the GCP project that owns the job.
If set to <code class="docutils literal notranslate"><span class="pre">None</span></code> or missing, the default project_id from the GCP connection is used.</p></li>
<li><p><strong>gcp_conn_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The connection ID to use connecting to Google Cloud
Platform.</p></li>
<li><p><strong>delegate_to</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The account to impersonate, if any.
For this to work, the service account making the request must have
domain-wide delegation enabled.</p></li>
<li><p><strong>drain_pipeline</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.9)"><em>bool</em></a>) -- Optional, set to True if want to stop streaming job by draining it
instead of canceling during during killing task instance. See:
<a class="reference external" href="https://cloud.google.com/dataflow/docs/guides/stopping-a-pipeline">https://cloud.google.com/dataflow/docs/guides/stopping-a-pipeline</a></p></li>
<li><p><strong>cancel_timeout</strong> (<em>Optional</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.9)"><em>int</em></a><em>]</em>) -- How long (in seconds) operator should wait for the pipeline to be
successfully cancelled when task is being killed.</p></li>
<li><p><strong>wait_until_finished</strong> (<em>Optional</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.9)"><em>bool</em></a><em>]</em>) -- <p>(Optional)
If True, wait for the end of pipeline execution before exiting.
If False, only submits job.
If None, default behavior.</p>
<p>The default behavior depends on the type of pipeline:</p>
<ul>
<li><p>for the streaming pipeline, wait for jobs to start,</p></li>
<li><p>for the batch pipeline, wait for the jobs to complete.</p></li>
</ul>
<div class="admonition warning">
<p class="admonition-title">Warning</p>
<p>You cannot call <code class="docutils literal notranslate"><span class="pre">PipelineResult.wait_until_finish</span></code> method in your pipeline code for the operator
to work properly. i. e. you must use asynchronous execution. Otherwise, your pipeline will
always wait until finished. For more information, look at:
<a class="reference external" href="https://cloud.google.com/dataflow/docs/guides/specifying-exec-params#python_10">Asynchronous execution</a></p>
</div>
<p>The process of starting the Dataflow job in Airflow consists of two steps:</p>
<ul>
<li><p>running a subprocess and reading the stderr/stderr log for the job id.</p></li>
<li><p>loop waiting for the end of the job ID from the previous step.
This loop checks the status of the job.</p></li>
</ul>
<p>Step two is started just after step one has finished, so if you have wait_until_finished in your
pipeline code, step two will not start until the process stops. When this process stops,
steps two will run, but it will only execute one iteration as the job will be in a terminal state.</p>
<p>If you in your pipeline do not call the wait_for_pipeline method but pass wait_until_finish=True
to the operator, the second loop will wait for the job's terminal state.</p>
<p>If you in your pipeline do not call the wait_for_pipeline method, and pass wait_until_finish=False
to the operator, the second loop will check once is job not in terminal state and exit the loop.</p>
</p></li>
</ul>
</dd>
</dl>
<dl class="py attribute">
<dt id="airflow.providers.google.cloud.operators.dataflow.DataflowStartFlexTemplateOperator.template_fields">
<code class="sig-name descname">template_fields</code><em class="property"> = ['body', 'location', 'project_id', 'gcp_conn_id']</em><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/dataflow.html#DataflowStartFlexTemplateOperator.template_fields"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.dataflow.DataflowStartFlexTemplateOperator.template_fields" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="airflow.providers.google.cloud.operators.dataflow.DataflowStartFlexTemplateOperator.execute">
<code class="sig-name descname">execute</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em>, <em class="sig-param"><span class="n">context</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/dataflow.html#DataflowStartFlexTemplateOperator.execute"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.dataflow.DataflowStartFlexTemplateOperator.execute" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="airflow.providers.google.cloud.operators.dataflow.DataflowStartFlexTemplateOperator.on_kill">
<code class="sig-name descname">on_kill</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/dataflow.html#DataflowStartFlexTemplateOperator.on_kill"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.dataflow.DataflowStartFlexTemplateOperator.on_kill" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="airflow.providers.google.cloud.operators.dataflow.DataflowStartSqlJobOperator">
<em class="property">class </em><code class="sig-prename descclassname">airflow.providers.google.cloud.operators.dataflow.</code><code class="sig-name descname">DataflowStartSqlJobOperator</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">job_name</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span></em>, <em class="sig-param"><span class="n">query</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span></em>, <em class="sig-param"><span class="n">options</span><span class="p">:</span> <span class="n">Dict<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">, </span>Any<span class="p">]</span></span></em>, <em class="sig-param"><span class="n">location</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">DEFAULT_DATAFLOW_LOCATION</span></em>, <em class="sig-param"><span class="n">project_id</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">gcp_conn_id</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">'google_cloud_default'</span></em>, <em class="sig-param"><span class="n">delegate_to</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">drain_pipeline</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.9)">bool</a></span> <span class="o">=</span> <span class="default_value">False</span></em>, <em class="sig-param"><span class="o">*</span><span class="n">args</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/dataflow.html#DataflowStartSqlJobOperator"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.dataflow.DataflowStartSqlJobOperator" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference external" href="/docs/apache-airflow/stable/_api/airflow/models/index.html#airflow.models.BaseOperator" title="(in apache-airflow v2.0.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">airflow.models.BaseOperator</span></code></a></p>
<p>Starts Dataflow SQL query.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>job_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The unique name to assign to the Cloud Dataflow job.</p></li>
<li><p><strong>query</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The SQL query to execute.</p></li>
<li><p><strong>options</strong> -- <p>Job parameters to be executed. It can be a dictionary with the following keys.</p>
<p>For more information, look at:
<a class="reference external" href="gcloudbetadataflowsqlquery">https://cloud.google.com/sdk/gcloud/reference/beta/dataflow/sql/query</a>
command reference</p>
</p></li>
<li><p><strong>options</strong> -- dict</p></li>
<li><p><strong>location</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The location of the Dataflow job (for example europe-west1)</p></li>
<li><p><strong>project_id</strong> (<em>Optional</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>]</em>) -- The ID of the GCP project that owns the job.
If set to <code class="docutils literal notranslate"><span class="pre">None</span></code> or missing, the default project_id from the GCP connection is used.</p></li>
<li><p><strong>gcp_conn_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The connection ID to use connecting to Google Cloud
Platform.</p></li>
<li><p><strong>delegate_to</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The account to impersonate, if any.
For this to work, the service account making the request must have
domain-wide delegation enabled.</p></li>
<li><p><strong>drain_pipeline</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.9)"><em>bool</em></a>) -- Optional, set to True if want to stop streaming job by draining it
instead of canceling during during killing task instance. See:
<a class="reference external" href="https://cloud.google.com/dataflow/docs/guides/stopping-a-pipeline">https://cloud.google.com/dataflow/docs/guides/stopping-a-pipeline</a></p></li>
</ul>
</dd>
</dl>
<dl class="py attribute">
<dt id="airflow.providers.google.cloud.operators.dataflow.DataflowStartSqlJobOperator.template_fields">
<code class="sig-name descname">template_fields</code><em class="property"> = ['job_name', 'query', 'options', 'location', 'project_id', 'gcp_conn_id']</em><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/dataflow.html#DataflowStartSqlJobOperator.template_fields"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.dataflow.DataflowStartSqlJobOperator.template_fields" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="airflow.providers.google.cloud.operators.dataflow.DataflowStartSqlJobOperator.execute">
<code class="sig-name descname">execute</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em>, <em class="sig-param"><span class="n">context</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/dataflow.html#DataflowStartSqlJobOperator.execute"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.dataflow.DataflowStartSqlJobOperator.execute" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="airflow.providers.google.cloud.operators.dataflow.DataflowStartSqlJobOperator.on_kill">
<code class="sig-name descname">on_kill</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/dataflow.html#DataflowStartSqlJobOperator.on_kill"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.dataflow.DataflowStartSqlJobOperator.on_kill" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt id="airflow.providers.google.cloud.operators.dataflow.DataflowCreatePythonJobOperator">
<em class="property">class </em><code class="sig-prename descclassname">airflow.providers.google.cloud.operators.dataflow.</code><code class="sig-name descname">DataflowCreatePythonJobOperator</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">*</span></em>, <em class="sig-param"><span class="n">py_file</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span></em>, <em class="sig-param"><span class="n">job_name</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">'{{task.task_id}}'</span></em>, <em class="sig-param"><span class="n">dataflow_default_options</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.9)">dict</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">options</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.9)">dict</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">py_interpreter</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">'python3'</span></em>, <em class="sig-param"><span class="n">py_options</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>List<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">py_requirements</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>List<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">py_system_site_packages</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.9)">bool</a></span> <span class="o">=</span> <span class="default_value">False</span></em>, <em class="sig-param"><span class="n">project_id</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">location</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">DEFAULT_DATAFLOW_LOCATION</span></em>, <em class="sig-param"><span class="n">gcp_conn_id</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a></span> <span class="o">=</span> <span class="default_value">'google_cloud_default'</span></em>, <em class="sig-param"><span class="n">delegate_to</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)">str</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">poll_sleep</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.9)">int</a></span> <span class="o">=</span> <span class="default_value">10</span></em>, <em class="sig-param"><span class="n">drain_pipeline</span><span class="p">:</span> <span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.9)">bool</a></span> <span class="o">=</span> <span class="default_value">False</span></em>, <em class="sig-param"><span class="n">cancel_timeout</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.9)">int</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">10 * 60</span></em>, <em class="sig-param"><span class="n">wait_until_finished</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.9)">bool</a><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/dataflow.html#DataflowCreatePythonJobOperator"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.dataflow.DataflowCreatePythonJobOperator" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference external" href="/docs/apache-airflow/stable/_api/airflow/models/index.html#airflow.models.BaseOperator" title="(in apache-airflow v2.0.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">airflow.models.BaseOperator</span></code></a></p>
<p>Launching Cloud Dataflow jobs written in python. Note that both
dataflow_default_options and options will be merged to specify pipeline
execution parameter, and dataflow_default_options is expected to save
high-level options, for instances, project and zone information, which
apply to all dataflow operators in the DAG.</p>
<div class="admonition seealso">
<p class="admonition-title">See also</p>
<p>For more detail on job submission have a look at the reference:
<a class="reference external" href="https://cloud.google.com/dataflow/pipelines/specifying-exec-params">https://cloud.google.com/dataflow/pipelines/specifying-exec-params</a></p>
</div>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>py_file</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- Reference to the python dataflow pipeline file.py, e.g.,
/some/local/file/path/to/your/python/pipeline/file. (templated)</p></li>
<li><p><strong>job_name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The 'job_name' to use when executing the DataFlow job
(templated). This ends up being set in the pipeline options, so any entry
with key <code class="docutils literal notranslate"><span class="pre">'jobName'</span></code> or <code class="docutils literal notranslate"><span class="pre">'job_name'</span></code> in <code class="docutils literal notranslate"><span class="pre">options</span></code> will be overwritten.</p></li>
<li><p><strong>py_options</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.9)"><em>list</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>]</em>) -- Additional python options, e.g., [&quot;-m&quot;, &quot;-v&quot;].</p></li>
<li><p><strong>dataflow_default_options</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.9)"><em>dict</em></a>) -- Map of default job options.</p></li>
<li><p><strong>options</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.9)"><em>dict</em></a>) -- <p>Map of job specific options.The key must be a dictionary.
The value can contain different types:</p>
<ul>
<li><p>If the value is None, the single option - <code class="docutils literal notranslate"><span class="pre">--key</span></code> (without value) will be added.</p></li>
<li><p>If the value is False, this option will be skipped</p></li>
<li><p>If the value is True, the single option - <code class="docutils literal notranslate"><span class="pre">--key</span></code> (without value) will be added.</p></li>
<li><p>If the value is list, the many options will be added for each key.
If the value is <code class="docutils literal notranslate"><span class="pre">['A',</span> <span class="pre">'B']</span></code> and the key is <code class="docutils literal notranslate"><span class="pre">key</span></code> then the <code class="docutils literal notranslate"><span class="pre">--key=A</span> <span class="pre">--key-B</span></code> options
will be left</p></li>
<li><p>Other value types will be replaced with the Python textual representation.</p></li>
</ul>
<p>When defining labels (<code class="docutils literal notranslate"><span class="pre">labels</span></code> option), you can also provide a dictionary.</p>
</p></li>
<li><p><strong>py_interpreter</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- Python version of the beam pipeline.
If None, this defaults to the python3.
To track python versions supported by beam and related
issues check: <a class="reference external" href="https://issues.apache.org/jira/browse/BEAM-1251">https://issues.apache.org/jira/browse/BEAM-1251</a></p></li>
<li><p><strong>py_requirements</strong> (<em>List</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a><em>]</em>) -- <p>Additional python package(s) to install.
If a value is passed to this parameter, a new virtual environment has been created with
additional packages installed.</p>
<p>You could also install the apache_beam package if it is not installed on your system or you want
to use a different version.</p>
</p></li>
<li><p><strong>py_system_site_packages</strong> -- <p>Whether to include system_site_packages in your virtualenv.
See virtualenv documentation for more information.</p>
<p>This option is only relevant if the <code class="docutils literal notranslate"><span class="pre">py_requirements</span></code> parameter is not None.</p>
</p></li>
<li><p><strong>gcp_conn_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The connection ID to use connecting to Google Cloud.</p></li>
<li><p><strong>project_id</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- Optional, the Google Cloud project ID in which to start a job.
If set to None or missing, the default project_id from the Google Cloud connection is used.</p></li>
<li><p><strong>location</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- Job location.</p></li>
<li><p><strong>delegate_to</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) -- The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making the request must have
domain-wide delegation enabled.</p></li>
<li><p><strong>poll_sleep</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.9)"><em>int</em></a>) -- The time in seconds to sleep between polling Google
Cloud Platform for the dataflow job status while the job is in the
JOB_STATE_RUNNING state.</p></li>
<li><p><strong>drain_pipeline</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.9)"><em>bool</em></a>) -- Optional, set to True if want to stop streaming job by draining it
instead of canceling during during killing task instance. See:
<a class="reference external" href="https://cloud.google.com/dataflow/docs/guides/stopping-a-pipeline">https://cloud.google.com/dataflow/docs/guides/stopping-a-pipeline</a></p></li>
<li><p><strong>cancel_timeout</strong> (<em>Optional</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.9)"><em>int</em></a><em>]</em>) -- How long (in seconds) operator should wait for the pipeline to be
successfully cancelled when task is being killed.</p></li>
<li><p><strong>wait_until_finished</strong> (<em>Optional</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.9)"><em>bool</em></a><em>]</em>) -- <p>(Optional)
If True, wait for the end of pipeline execution before exiting.
If False, only submits job.
If None, default behavior.</p>
<p>The default behavior depends on the type of pipeline:</p>
<ul>
<li><p>for the streaming pipeline, wait for jobs to start,</p></li>
<li><p>for the batch pipeline, wait for the jobs to complete.</p></li>
</ul>
<div class="admonition warning">
<p class="admonition-title">Warning</p>
<p>You cannot call <code class="docutils literal notranslate"><span class="pre">PipelineResult.wait_until_finish</span></code> method in your pipeline code for the operator
to work properly. i. e. you must use asynchronous execution. Otherwise, your pipeline will
always wait until finished. For more information, look at:
<a class="reference external" href="https://cloud.google.com/dataflow/docs/guides/specifying-exec-params#python_10">Asynchronous execution</a></p>
</div>
<p>The process of starting the Dataflow job in Airflow consists of two steps:</p>
<ul>
<li><p>running a subprocess and reading the stderr/stderr log for the job id.</p></li>
<li><p>loop waiting for the end of the job ID from the previous step.
This loop checks the status of the job.</p></li>
</ul>
<p>Step two is started just after step one has finished, so if you have wait_until_finished in your
pipeline code, step two will not start until the process stops. When this process stops,
steps two will run, but it will only execute one iteration as the job will be in a terminal state.</p>
<p>If you in your pipeline do not call the wait_for_pipeline method but pass wait_until_finish=True
to the operator, the second loop will wait for the job's terminal state.</p>
<p>If you in your pipeline do not call the wait_for_pipeline method, and pass wait_until_finish=False
to the operator, the second loop will check once is job not in terminal state and exit the loop.</p>
</p></li>
</ul>
</dd>
</dl>
<dl class="py attribute">
<dt id="airflow.providers.google.cloud.operators.dataflow.DataflowCreatePythonJobOperator.template_fields">
<code class="sig-name descname">template_fields</code><em class="property"> = ['options', 'dataflow_default_options', 'job_name', 'py_file']</em><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/dataflow.html#DataflowCreatePythonJobOperator.template_fields"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.dataflow.DataflowCreatePythonJobOperator.template_fields" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="airflow.providers.google.cloud.operators.dataflow.DataflowCreatePythonJobOperator.execute">
<code class="sig-name descname">execute</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em>, <em class="sig-param"><span class="n">context</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/dataflow.html#DataflowCreatePythonJobOperator.execute"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.dataflow.DataflowCreatePythonJobOperator.execute" title="Permalink to this definition"></a></dt>
<dd><p>Execute the python dataflow job.</p>
</dd></dl>
<dl class="py method">
<dt id="airflow.providers.google.cloud.operators.dataflow.DataflowCreatePythonJobOperator.on_kill">
<code class="sig-name descname">on_kill</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">self</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../../../../../_modules/airflow/providers/google/cloud/operators/dataflow.html#DataflowCreatePythonJobOperator.on_kill"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#airflow.providers.google.cloud.operators.dataflow.DataflowCreatePythonJobOperator.on_kill" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
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<ul>
<li><a class="reference internal" href="#"><code class="xref py py-mod docutils literal notranslate"><span class="pre">airflow.providers.google.cloud.operators.dataflow</span></code></a><ul>
<li><a class="reference internal" href="#module-contents">Module Contents</a><ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.dataflow.CheckJobRunning">CheckJobRunning</a><ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.dataflow.CheckJobRunning.IgnoreJob">IgnoreJob</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.dataflow.CheckJobRunning.FinishIfRunning">FinishIfRunning</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.dataflow.CheckJobRunning.WaitForRun">WaitForRun</a></li>
</ul>
</li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.dataflow.DataflowCreateJavaJobOperator">DataflowCreateJavaJobOperator</a><ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.dataflow.DataflowCreateJavaJobOperator.template_fields">template_fields</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.dataflow.DataflowCreateJavaJobOperator.ui_color">ui_color</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.dataflow.DataflowCreateJavaJobOperator.execute">execute</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.dataflow.DataflowCreateJavaJobOperator.on_kill">on_kill</a></li>
</ul>
</li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.dataflow.DataflowTemplatedJobStartOperator">DataflowTemplatedJobStartOperator</a><ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.dataflow.DataflowTemplatedJobStartOperator.template_fields">template_fields</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.dataflow.DataflowTemplatedJobStartOperator.ui_color">ui_color</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.dataflow.DataflowTemplatedJobStartOperator.execute">execute</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.dataflow.DataflowTemplatedJobStartOperator.on_kill">on_kill</a></li>
</ul>
</li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.dataflow.DataflowStartFlexTemplateOperator">DataflowStartFlexTemplateOperator</a><ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.dataflow.DataflowStartFlexTemplateOperator.template_fields">template_fields</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.dataflow.DataflowStartFlexTemplateOperator.execute">execute</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.dataflow.DataflowStartFlexTemplateOperator.on_kill">on_kill</a></li>
</ul>
</li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.dataflow.DataflowStartSqlJobOperator">DataflowStartSqlJobOperator</a><ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.dataflow.DataflowStartSqlJobOperator.template_fields">template_fields</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.dataflow.DataflowStartSqlJobOperator.execute">execute</a></li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.dataflow.DataflowStartSqlJobOperator.on_kill">on_kill</a></li>
</ul>
</li>
</ul>
<ul>
<li><a class="reference internal" href="#airflow.providers.google.cloud.operators.dataflow.DataflowCreatePythonJobOperator">DataflowCreatePythonJobOperator</a><ul>
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