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| <h1>Source code for airflow.providers.google.cloud.operators.dataflow</h1><div class="highlight"><pre> |
| <span></span><span class="c1">#</span> |
| <span class="c1"># Licensed to the Apache Software Foundation (ASF) under one</span> |
| <span class="c1"># or more contributor license agreements. See the NOTICE file</span> |
| <span class="c1"># distributed with this work for additional information</span> |
| <span class="c1"># regarding copyright ownership. The ASF licenses this file</span> |
| <span class="c1"># to you under the Apache License, Version 2.0 (the</span> |
| <span class="c1"># "License"); you may not use this file except in compliance</span> |
| <span class="c1"># with the License. You may obtain a copy of the License at</span> |
| <span class="c1">#</span> |
| <span class="c1"># http://www.apache.org/licenses/LICENSE-2.0</span> |
| <span class="c1">#</span> |
| <span class="c1"># Unless required by applicable law or agreed to in writing,</span> |
| <span class="c1"># software distributed under the License is distributed on an</span> |
| <span class="c1"># "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY</span> |
| <span class="c1"># KIND, either express or implied. See the License for the</span> |
| <span class="c1"># specific language governing permissions and limitations</span> |
| <span class="c1"># under the License.</span> |
| <span class="sd">"""This module contains Google Dataflow operators."""</span> |
| <span class="kn">from</span> <span class="nn">__future__</span> <span class="kn">import</span> <span class="n">annotations</span> |
| |
| <span class="kn">import</span> <span class="nn">copy</span> |
| <span class="kn">import</span> <span class="nn">re</span> |
| <span class="kn">import</span> <span class="nn">warnings</span> |
| <span class="kn">from</span> <span class="nn">contextlib</span> <span class="kn">import</span> <span class="n">ExitStack</span> |
| <span class="kn">from</span> <span class="nn">enum</span> <span class="kn">import</span> <span class="n">Enum</span> |
| <span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">TYPE_CHECKING</span><span class="p">,</span> <span class="n">Any</span><span class="p">,</span> <span class="n">Sequence</span> |
| |
| <span class="kn">from</span> <span class="nn">airflow.models</span> <span class="kn">import</span> <span class="n">BaseOperator</span> |
| <span class="kn">from</span> <span class="nn">airflow.providers.apache.beam.hooks.beam</span> <span class="kn">import</span> <span class="n">BeamHook</span><span class="p">,</span> <span class="n">BeamRunnerType</span> |
| <span class="kn">from</span> <span class="nn">airflow.providers.google.cloud.hooks.dataflow</span> <span class="kn">import</span> <span class="p">(</span> |
| <span class="n">DEFAULT_DATAFLOW_LOCATION</span><span class="p">,</span> |
| <span class="n">DataflowHook</span><span class="p">,</span> |
| <span class="n">process_line_and_extract_dataflow_job_id_callback</span><span class="p">,</span> |
| <span class="p">)</span> |
| <span class="kn">from</span> <span class="nn">airflow.providers.google.cloud.hooks.gcs</span> <span class="kn">import</span> <span class="n">GCSHook</span> |
| <span class="kn">from</span> <span class="nn">airflow.providers.google.cloud.links.dataflow</span> <span class="kn">import</span> <span class="n">DataflowJobLink</span> |
| <span class="kn">from</span> <span class="nn">airflow.version</span> <span class="kn">import</span> <span class="n">version</span> |
| |
| <span class="k">if</span> <span class="n">TYPE_CHECKING</span><span class="p">:</span> |
| <span class="kn">from</span> <span class="nn">airflow.utils.context</span> <span class="kn">import</span> <span class="n">Context</span> |
| |
| |
| <div class="viewcode-block" id="CheckJobRunning"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.CheckJobRunning">[docs]</a><span class="k">class</span> <span class="nc">CheckJobRunning</span><span class="p">(</span><span class="n">Enum</span><span class="p">):</span> |
| <span class="sd">"""</span> |
| <span class="sd"> Helper enum for choosing what to do if job is already running</span> |
| <span class="sd"> IgnoreJob - do not check if running</span> |
| <span class="sd"> FinishIfRunning - finish current dag run with no action</span> |
| <span class="sd"> WaitForRun - wait for job to finish and then continue with new job</span> |
| <span class="sd"> """</span> |
| |
| <div class="viewcode-block" id="CheckJobRunning.IgnoreJob"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.CheckJobRunning.IgnoreJob">[docs]</a> <span class="n">IgnoreJob</span> <span class="o">=</span> <span class="mi">1</span></div> |
| <div class="viewcode-block" id="CheckJobRunning.FinishIfRunning"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.CheckJobRunning.FinishIfRunning">[docs]</a> <span class="n">FinishIfRunning</span> <span class="o">=</span> <span class="mi">2</span></div> |
| <div class="viewcode-block" id="CheckJobRunning.WaitForRun"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.CheckJobRunning.WaitForRun">[docs]</a> <span class="n">WaitForRun</span> <span class="o">=</span> <span class="mi">3</span></div></div> |
| |
| |
| <div class="viewcode-block" id="DataflowConfiguration"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.DataflowConfiguration">[docs]</a><span class="k">class</span> <span class="nc">DataflowConfiguration</span><span class="p">:</span> |
| <span class="sd">"""Dataflow configuration that can be passed to</span> |
| <span class="sd"> :py:class:`~airflow.providers.apache.beam.operators.beam.BeamRunJavaPipelineOperator` and</span> |
| <span class="sd"> :py:class:`~airflow.providers.apache.beam.operators.beam.BeamRunPythonPipelineOperator`.</span> |
| |
| <span class="sd"> :param job_name: The 'jobName' to use when executing the Dataflow job</span> |
| <span class="sd"> (templated). This ends up being set in the pipeline options, so any entry</span> |
| <span class="sd"> with key ``'jobName'`` or ``'job_name'``in ``options`` will be overwritten.</span> |
| <span class="sd"> :param append_job_name: True if unique suffix has to be appended to job name.</span> |
| <span class="sd"> :param project_id: Optional, the Google Cloud project ID in which to start a job.</span> |
| <span class="sd"> If set to None or missing, the default project_id from the Google Cloud connection is used.</span> |
| <span class="sd"> :param location: Job location.</span> |
| <span class="sd"> :param gcp_conn_id: The connection ID to use connecting to Google Cloud.</span> |
| <span class="sd"> :param delegate_to: The account to impersonate using domain-wide delegation of authority,</span> |
| <span class="sd"> if any. For this to work, the service account making the request must have</span> |
| <span class="sd"> domain-wide delegation enabled.</span> |
| <span class="sd"> :param poll_sleep: The time in seconds to sleep between polling Google</span> |
| <span class="sd"> Cloud Platform for the dataflow job status while the job is in the</span> |
| <span class="sd"> JOB_STATE_RUNNING state.</span> |
| <span class="sd"> :param impersonation_chain: Optional service account to impersonate using short-term</span> |
| <span class="sd"> credentials, or chained list of accounts required to get the access_token</span> |
| <span class="sd"> of the last account in the list, which will be impersonated in the request.</span> |
| <span class="sd"> If set as a string, the account must grant the originating account</span> |
| <span class="sd"> the Service Account Token Creator IAM role.</span> |
| <span class="sd"> If set as a sequence, the identities from the list must grant</span> |
| <span class="sd"> Service Account Token Creator IAM role to the directly preceding identity, with first</span> |
| <span class="sd"> account from the list granting this role to the originating account (templated).</span> |
| <span class="sd"> :param drain_pipeline: Optional, set to True if want to stop streaming job by draining it</span> |
| <span class="sd"> instead of canceling during killing task instance. See:</span> |
| <span class="sd"> https://cloud.google.com/dataflow/docs/guides/stopping-a-pipeline</span> |
| <span class="sd"> :param cancel_timeout: How long (in seconds) operator should wait for the pipeline to be</span> |
| <span class="sd"> successfully cancelled when task is being killed. (optional) default to 300s</span> |
| <span class="sd"> :param wait_until_finished: (Optional)</span> |
| <span class="sd"> If True, wait for the end of pipeline execution before exiting.</span> |
| <span class="sd"> If False, only submits job.</span> |
| <span class="sd"> If None, default behavior.</span> |
| |
| <span class="sd"> The default behavior depends on the type of pipeline:</span> |
| |
| <span class="sd"> * for the streaming pipeline, wait for jobs to start,</span> |
| <span class="sd"> * for the batch pipeline, wait for the jobs to complete.</span> |
| |
| <span class="sd"> .. warning::</span> |
| |
| <span class="sd"> You cannot call ``PipelineResult.wait_until_finish`` method in your pipeline code for the operator</span> |
| <span class="sd"> to work properly. i. e. you must use asynchronous execution. Otherwise, your pipeline will</span> |
| <span class="sd"> always wait until finished. For more information, look at:</span> |
| <span class="sd"> `Asynchronous execution</span> |
| <span class="sd"> <https://cloud.google.com/dataflow/docs/guides/specifying-exec-params#python_10>`__</span> |
| |
| <span class="sd"> The process of starting the Dataflow job in Airflow consists of two steps:</span> |
| |
| <span class="sd"> * running a subprocess and reading the stderr/stderr log for the job id.</span> |
| <span class="sd"> * loop waiting for the end of the job ID from the previous step.</span> |
| <span class="sd"> This loop checks the status of the job.</span> |
| |
| <span class="sd"> Step two is started just after step one has finished, so if you have wait_until_finished in your</span> |
| <span class="sd"> pipeline code, step two will not start until the process stops. When this process stops,</span> |
| <span class="sd"> steps two will run, but it will only execute one iteration as the job will be in a terminal state.</span> |
| |
| <span class="sd"> If you in your pipeline do not call the wait_for_pipeline method but pass wait_until_finish=True</span> |
| <span class="sd"> to the operator, the second loop will wait for the job's terminal state.</span> |
| |
| <span class="sd"> If you in your pipeline do not call the wait_for_pipeline method, and pass wait_until_finish=False</span> |
| <span class="sd"> to the operator, the second loop will check once is job not in terminal state and exit the loop.</span> |
| <span class="sd"> :param multiple_jobs: If pipeline creates multiple jobs then monitor all jobs. Supported only by</span> |
| <span class="sd"> :py:class:`~airflow.providers.apache.beam.operators.beam.BeamRunJavaPipelineOperator`</span> |
| <span class="sd"> :param check_if_running: Before running job, validate that a previous run is not in process.</span> |
| <span class="sd"> IgnoreJob = do not check if running.</span> |
| <span class="sd"> FinishIfRunning = if job is running finish with nothing.</span> |
| <span class="sd"> WaitForRun = wait until job finished and the run job.</span> |
| <span class="sd"> Supported only by:</span> |
| <span class="sd"> :py:class:`~airflow.providers.apache.beam.operators.beam.BeamRunJavaPipelineOperator`</span> |
| <span class="sd"> :param service_account: Run the job as a specific service account, instead of the default GCE robot.</span> |
| <span class="sd"> """</span> |
| |
| <div class="viewcode-block" id="DataflowConfiguration.template_fields"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.DataflowConfiguration.template_fields">[docs]</a> <span class="n">template_fields</span><span class="p">:</span> <span class="n">Sequence</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="s2">"job_name"</span><span class="p">,</span> <span class="s2">"location"</span><span class="p">)</span></div> |
| |
| <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span> |
| <span class="bp">self</span><span class="p">,</span> |
| <span class="o">*</span><span class="p">,</span> |
| <span class="n">job_name</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"{{task.task_id}}"</span><span class="p">,</span> |
| <span class="n">append_job_name</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="p">:</span> <span class="nb">str</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">location</span><span class="p">:</span> <span class="nb">str</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="n">DEFAULT_DATAFLOW_LOCATION</span><span class="p">,</span> |
| <span class="n">gcp_conn_id</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"google_cloud_default"</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="p">:</span> <span class="nb">str</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">poll_sleep</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">10</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="p">:</span> <span class="nb">str</span> <span class="o">|</span> <span class="n">Sequence</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">drain_pipeline</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> |
| <span class="n">cancel_timeout</span><span class="p">:</span> <span class="nb">int</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="mi">5</span> <span class="o">*</span> <span class="mi">60</span><span class="p">,</span> |
| <span class="n">wait_until_finished</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">multiple_jobs</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">check_if_running</span><span class="p">:</span> <span class="n">CheckJobRunning</span> <span class="o">=</span> <span class="n">CheckJobRunning</span><span class="o">.</span><span class="n">WaitForRun</span><span class="p">,</span> |
| <span class="n">service_account</span><span class="p">:</span> <span class="nb">str</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">job_name</span> <span class="o">=</span> <span class="n">job_name</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">append_job_name</span> <span class="o">=</span> <span class="n">append_job_name</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">project_id</span> <span class="o">=</span> <span class="n">project_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">location</span> <span class="o">=</span> <span class="n">location</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">gcp_conn_id</span> <span class="o">=</span> <span class="n">gcp_conn_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">delegate_to</span> <span class="o">=</span> <span class="n">delegate_to</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">poll_sleep</span> <span class="o">=</span> <span class="n">poll_sleep</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">impersonation_chain</span> <span class="o">=</span> <span class="n">impersonation_chain</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">drain_pipeline</span> <span class="o">=</span> <span class="n">drain_pipeline</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">cancel_timeout</span> <span class="o">=</span> <span class="n">cancel_timeout</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">wait_until_finished</span> <span class="o">=</span> <span class="n">wait_until_finished</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">multiple_jobs</span> <span class="o">=</span> <span class="n">multiple_jobs</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">check_if_running</span> <span class="o">=</span> <span class="n">check_if_running</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">service_account</span> <span class="o">=</span> <span class="n">service_account</span></div> |
| |
| |
| <div class="viewcode-block" id="DataflowCreateJavaJobOperator"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.DataflowCreateJavaJobOperator">[docs]</a><span class="k">class</span> <span class="nc">DataflowCreateJavaJobOperator</span><span class="p">(</span><span class="n">BaseOperator</span><span class="p">):</span> |
| <span class="sd">"""</span> |
| <span class="sd"> Start a Java Cloud Dataflow batch job. The parameters of the operation</span> |
| <span class="sd"> will be passed to the job.</span> |
| |
| <span class="sd"> This class is deprecated.</span> |
| <span class="sd"> Please use `providers.apache.beam.operators.beam.BeamRunJavaPipelineOperator`.</span> |
| |
| <span class="sd"> **Example**: ::</span> |
| |
| <span class="sd"> default_args = {</span> |
| <span class="sd"> "owner": "airflow",</span> |
| <span class="sd"> "depends_on_past": False,</span> |
| <span class="sd"> "start_date": (2016, 8, 1),</span> |
| <span class="sd"> "email": ["alex@vanboxel.be"],</span> |
| <span class="sd"> "email_on_failure": False,</span> |
| <span class="sd"> "email_on_retry": False,</span> |
| <span class="sd"> "retries": 1,</span> |
| <span class="sd"> "retry_delay": timedelta(minutes=30),</span> |
| <span class="sd"> "dataflow_default_options": {</span> |
| <span class="sd"> "project": "my-gcp-project",</span> |
| <span class="sd"> "zone": "us-central1-f",</span> |
| <span class="sd"> "stagingLocation": "gs://bucket/tmp/dataflow/staging/",</span> |
| <span class="sd"> },</span> |
| <span class="sd"> }</span> |
| |
| <span class="sd"> dag = DAG("test-dag", default_args=default_args)</span> |
| |
| <span class="sd"> task = DataflowCreateJavaJobOperator(</span> |
| <span class="sd"> gcp_conn_id="gcp_default",</span> |
| <span class="sd"> task_id="normalize-cal",</span> |
| <span class="sd"> jar="{{var.value.gcp_dataflow_base}}pipeline-ingress-cal-normalize-1.0.jar",</span> |
| <span class="sd"> options={</span> |
| <span class="sd"> "autoscalingAlgorithm": "BASIC",</span> |
| <span class="sd"> "maxNumWorkers": "50",</span> |
| <span class="sd"> "start": "{{ds}}",</span> |
| <span class="sd"> "partitionType": "DAY",</span> |
| <span class="sd"> },</span> |
| <span class="sd"> dag=dag,</span> |
| <span class="sd"> )</span> |
| |
| |
| <span class="sd"> .. seealso::</span> |
| <span class="sd"> For more detail on job submission have a look at the reference:</span> |
| <span class="sd"> https://cloud.google.com/dataflow/pipelines/specifying-exec-params</span> |
| |
| <span class="sd"> .. seealso::</span> |
| <span class="sd"> For more information on how to use this operator, take a look at the guide:</span> |
| <span class="sd"> :ref:`howto/operator:DataflowCreateJavaJobOperator`</span> |
| |
| <span class="sd"> :param jar: The reference to a self executing Dataflow jar (templated).</span> |
| <span class="sd"> :param job_name: The 'jobName' to use when executing the Dataflow job</span> |
| <span class="sd"> (templated). This ends up being set in the pipeline options, so any entry</span> |
| <span class="sd"> with key ``'jobName'`` in ``options`` will be overwritten.</span> |
| <span class="sd"> :param dataflow_default_options: Map of default job options.</span> |
| <span class="sd"> :param options: Map of job specific options.The key must be a dictionary.</span> |
| <span class="sd"> The value can contain different types:</span> |
| |
| <span class="sd"> * If the value is None, the single option - ``--key`` (without value) will be added.</span> |
| <span class="sd"> * If the value is False, this option will be skipped</span> |
| <span class="sd"> * If the value is True, the single option - ``--key`` (without value) will be added.</span> |
| <span class="sd"> * If the value is list, the many options will be added for each key.</span> |
| <span class="sd"> If the value is ``['A', 'B']`` and the key is ``key`` then the ``--key=A --key=B`` options</span> |
| <span class="sd"> will be left</span> |
| <span class="sd"> * Other value types will be replaced with the Python textual representation.</span> |
| |
| <span class="sd"> When defining labels (``labels`` option), you can also provide a dictionary.</span> |
| <span class="sd"> :param project_id: Optional, the Google Cloud project ID in which to start a job.</span> |
| <span class="sd"> If set to None or missing, the default project_id from the Google Cloud connection is used.</span> |
| <span class="sd"> :param location: Job location.</span> |
| <span class="sd"> :param gcp_conn_id: The connection ID to use connecting to Google Cloud.</span> |
| <span class="sd"> :param delegate_to: The account to impersonate using domain-wide delegation of authority,</span> |
| <span class="sd"> if any. For this to work, the service account making the request must have</span> |
| <span class="sd"> domain-wide delegation enabled.</span> |
| <span class="sd"> :param poll_sleep: The time in seconds to sleep between polling Google</span> |
| <span class="sd"> Cloud Platform for the dataflow job status while the job is in the</span> |
| <span class="sd"> JOB_STATE_RUNNING state.</span> |
| <span class="sd"> :param job_class: The name of the dataflow job class to be executed, it</span> |
| <span class="sd"> is often not the main class configured in the dataflow jar file.</span> |
| |
| <span class="sd"> :param multiple_jobs: If pipeline creates multiple jobs then monitor all jobs</span> |
| <span class="sd"> :param check_if_running: before running job, validate that a previous run is not in process</span> |
| <span class="sd"> if job is running finish with nothing, WaitForRun= wait until job finished and the run job)</span> |
| <span class="sd"> ``jar``, ``options``, and ``job_name`` are templated so you can use variables in them.</span> |
| <span class="sd"> :param cancel_timeout: How long (in seconds) operator should wait for the pipeline to be</span> |
| <span class="sd"> successfully cancelled when task is being killed.</span> |
| <span class="sd"> :param wait_until_finished: (Optional)</span> |
| <span class="sd"> If True, wait for the end of pipeline execution before exiting.</span> |
| <span class="sd"> If False, only submits job.</span> |
| <span class="sd"> If None, default behavior.</span> |
| |
| <span class="sd"> The default behavior depends on the type of pipeline:</span> |
| |
| <span class="sd"> * for the streaming pipeline, wait for jobs to start,</span> |
| <span class="sd"> * for the batch pipeline, wait for the jobs to complete.</span> |
| |
| <span class="sd"> .. warning::</span> |
| |
| <span class="sd"> You cannot call ``PipelineResult.wait_until_finish`` method in your pipeline code for the operator</span> |
| <span class="sd"> to work properly. i. e. you must use asynchronous execution. Otherwise, your pipeline will</span> |
| <span class="sd"> always wait until finished. For more information, look at:</span> |
| <span class="sd"> `Asynchronous execution</span> |
| <span class="sd"> <https://cloud.google.com/dataflow/docs/guides/specifying-exec-params#python_10>`__</span> |
| |
| <span class="sd"> The process of starting the Dataflow job in Airflow consists of two steps:</span> |
| |
| <span class="sd"> * running a subprocess and reading the stderr/stderr log for the job id.</span> |
| <span class="sd"> * loop waiting for the end of the job ID from the previous step.</span> |
| <span class="sd"> This loop checks the status of the job.</span> |
| |
| <span class="sd"> Step two is started just after step one has finished, so if you have wait_until_finished in your</span> |
| <span class="sd"> pipeline code, step two will not start until the process stops. When this process stops,</span> |
| <span class="sd"> steps two will run, but it will only execute one iteration as the job will be in a terminal state.</span> |
| |
| <span class="sd"> If you in your pipeline do not call the wait_for_pipeline method but pass wait_until_finish=True</span> |
| <span class="sd"> to the operator, the second loop will wait for the job's terminal state.</span> |
| |
| <span class="sd"> If you in your pipeline do not call the wait_for_pipeline method, and pass wait_until_finish=False</span> |
| <span class="sd"> to the operator, the second loop will check once is job not in terminal state and exit the loop.</span> |
| |
| <span class="sd"> Note that both</span> |
| <span class="sd"> ``dataflow_default_options`` and ``options`` will be merged to specify pipeline</span> |
| <span class="sd"> execution parameter, and ``dataflow_default_options`` is expected to save</span> |
| <span class="sd"> high-level options, for instances, project and zone information, which</span> |
| <span class="sd"> apply to all dataflow operators in the DAG.</span> |
| |
| <span class="sd"> It's a good practice to define dataflow_* parameters in the default_args of the dag</span> |
| <span class="sd"> like the project, zone and staging location.</span> |
| |
| <span class="sd"> .. code-block:: python</span> |
| |
| <span class="sd"> default_args = {</span> |
| <span class="sd"> "dataflow_default_options": {</span> |
| <span class="sd"> "zone": "europe-west1-d",</span> |
| <span class="sd"> "stagingLocation": "gs://my-staging-bucket/staging/",</span> |
| <span class="sd"> }</span> |
| <span class="sd"> }</span> |
| |
| <span class="sd"> You need to pass the path to your dataflow as a file reference with the ``jar``</span> |
| <span class="sd"> parameter, the jar needs to be a self executing jar (see documentation here:</span> |
| <span class="sd"> https://beam.apache.org/documentation/runners/dataflow/#self-executing-jar).</span> |
| <span class="sd"> Use ``options`` to pass on options to your job.</span> |
| |
| <span class="sd"> .. code-block:: python</span> |
| |
| <span class="sd"> t1 = DataflowCreateJavaJobOperator(</span> |
| <span class="sd"> task_id="dataflow_example",</span> |
| <span class="sd"> jar="{{var.value.gcp_dataflow_base}}pipeline/build/libs/pipeline-example-1.0.jar",</span> |
| <span class="sd"> options={</span> |
| <span class="sd"> "autoscalingAlgorithm": "BASIC",</span> |
| <span class="sd"> "maxNumWorkers": "50",</span> |
| <span class="sd"> "start": "{{ds}}",</span> |
| <span class="sd"> "partitionType": "DAY",</span> |
| <span class="sd"> "labels": {"foo": "bar"},</span> |
| <span class="sd"> },</span> |
| <span class="sd"> gcp_conn_id="airflow-conn-id",</span> |
| <span class="sd"> dag=my_dag,</span> |
| <span class="sd"> )</span> |
| |
| <span class="sd"> """</span> |
| |
| <div class="viewcode-block" id="DataflowCreateJavaJobOperator.template_fields"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.DataflowCreateJavaJobOperator.template_fields">[docs]</a> <span class="n">template_fields</span><span class="p">:</span> <span class="n">Sequence</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="s2">"options"</span><span class="p">,</span> <span class="s2">"jar"</span><span class="p">,</span> <span class="s2">"job_name"</span><span class="p">)</span></div> |
| <div class="viewcode-block" id="DataflowCreateJavaJobOperator.ui_color"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.DataflowCreateJavaJobOperator.ui_color">[docs]</a> <span class="n">ui_color</span> <span class="o">=</span> <span class="s2">"#0273d4"</span></div> |
| |
| <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span> |
| <span class="bp">self</span><span class="p">,</span> |
| <span class="o">*</span><span class="p">,</span> |
| <span class="n">jar</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> |
| <span class="n">job_name</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"{{task.task_id}}"</span><span class="p">,</span> |
| <span class="n">dataflow_default_options</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">options</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="p">:</span> <span class="nb">str</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">location</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="n">DEFAULT_DATAFLOW_LOCATION</span><span class="p">,</span> |
| <span class="n">gcp_conn_id</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"google_cloud_default"</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="p">:</span> <span class="nb">str</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">poll_sleep</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">10</span><span class="p">,</span> |
| <span class="n">job_class</span><span class="p">:</span> <span class="nb">str</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">check_if_running</span><span class="p">:</span> <span class="n">CheckJobRunning</span> <span class="o">=</span> <span class="n">CheckJobRunning</span><span class="o">.</span><span class="n">WaitForRun</span><span class="p">,</span> |
| <span class="n">multiple_jobs</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> |
| <span class="n">cancel_timeout</span><span class="p">:</span> <span class="nb">int</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="mi">10</span> <span class="o">*</span> <span class="mi">60</span><span class="p">,</span> |
| <span class="n">wait_until_finished</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span> |
| <span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| <span class="c1"># TODO: Remove one day</span> |
| <span class="n">warnings</span><span class="o">.</span><span class="n">warn</span><span class="p">(</span> |
| <span class="sa">f</span><span class="s2">"The `</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s2">` operator is deprecated, "</span> |
| <span class="sa">f</span><span class="s2">"please use `providers.apache.beam.operators.beam.BeamRunJavaPipelineOperator` instead."</span><span class="p">,</span> |
| <span class="ne">DeprecationWarning</span><span class="p">,</span> |
| <span class="n">stacklevel</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> |
| <span class="p">)</span> |
| <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> |
| |
| <span class="n">dataflow_default_options</span> <span class="o">=</span> <span class="n">dataflow_default_options</span> <span class="ow">or</span> <span class="p">{}</span> |
| <span class="n">options</span> <span class="o">=</span> <span class="n">options</span> <span class="ow">or</span> <span class="p">{}</span> |
| <span class="n">options</span><span class="o">.</span><span class="n">setdefault</span><span class="p">(</span><span class="s2">"labels"</span><span class="p">,</span> <span class="p">{})</span><span class="o">.</span><span class="n">update</span><span class="p">(</span> |
| <span class="p">{</span><span class="s2">"airflow-version"</span><span class="p">:</span> <span class="s2">"v"</span> <span class="o">+</span> <span class="n">version</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span> <span class="s2">"-"</span><span class="p">)</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"+"</span><span class="p">,</span> <span class="s2">"-"</span><span class="p">)}</span> |
| <span class="p">)</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">project_id</span> <span class="o">=</span> <span class="n">project_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">location</span> <span class="o">=</span> <span class="n">location</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">gcp_conn_id</span> <span class="o">=</span> <span class="n">gcp_conn_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">delegate_to</span> <span class="o">=</span> <span class="n">delegate_to</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">jar</span> <span class="o">=</span> <span class="n">jar</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">multiple_jobs</span> <span class="o">=</span> <span class="n">multiple_jobs</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">job_name</span> <span class="o">=</span> <span class="n">job_name</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">dataflow_default_options</span> <span class="o">=</span> <span class="n">dataflow_default_options</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">options</span> <span class="o">=</span> <span class="n">options</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">poll_sleep</span> <span class="o">=</span> <span class="n">poll_sleep</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">job_class</span> <span class="o">=</span> <span class="n">job_class</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">check_if_running</span> <span class="o">=</span> <span class="n">check_if_running</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">cancel_timeout</span> <span class="o">=</span> <span class="n">cancel_timeout</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">wait_until_finished</span> <span class="o">=</span> <span class="n">wait_until_finished</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">job_id</span> <span class="o">=</span> <span class="kc">None</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">beam_hook</span><span class="p">:</span> <span class="n">BeamHook</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">dataflow_hook</span><span class="p">:</span> <span class="n">DataflowHook</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span> |
| |
| <div class="viewcode-block" id="DataflowCreateJavaJobOperator.execute"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.DataflowCreateJavaJobOperator.execute">[docs]</a> <span class="k">def</span> <span class="nf">execute</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">context</span><span class="p">:</span> <span class="n">Context</span><span class="p">):</span> |
| <span class="sd">"""Execute the Apache Beam Pipeline."""</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">beam_hook</span> <span class="o">=</span> <span class="n">BeamHook</span><span class="p">(</span><span class="n">runner</span><span class="o">=</span><span class="n">BeamRunnerType</span><span class="o">.</span><span class="n">DataflowRunner</span><span class="p">)</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">dataflow_hook</span> <span class="o">=</span> <span class="n">DataflowHook</span><span class="p">(</span> |
| <span class="n">gcp_conn_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">gcp_conn_id</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">delegate_to</span><span class="p">,</span> |
| <span class="n">poll_sleep</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">poll_sleep</span><span class="p">,</span> |
| <span class="n">cancel_timeout</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">cancel_timeout</span><span class="p">,</span> |
| <span class="n">wait_until_finished</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">wait_until_finished</span><span class="p">,</span> |
| <span class="p">)</span> |
| <span class="n">job_name</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dataflow_hook</span><span class="o">.</span><span class="n">build_dataflow_job_name</span><span class="p">(</span><span class="n">job_name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">job_name</span><span class="p">)</span> |
| <span class="n">pipeline_options</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">dataflow_default_options</span><span class="p">)</span> |
| |
| <span class="n">pipeline_options</span><span class="p">[</span><span class="s2">"jobName"</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">job_name</span> |
| <span class="n">pipeline_options</span><span class="p">[</span><span class="s2">"project"</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">project_id</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">dataflow_hook</span><span class="o">.</span><span class="n">project_id</span> |
| <span class="n">pipeline_options</span><span class="p">[</span><span class="s2">"region"</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">location</span> |
| <span class="n">pipeline_options</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">options</span><span class="p">)</span> |
| <span class="n">pipeline_options</span><span class="o">.</span><span class="n">setdefault</span><span class="p">(</span><span class="s2">"labels"</span><span class="p">,</span> <span class="p">{})</span><span class="o">.</span><span class="n">update</span><span class="p">(</span> |
| <span class="p">{</span><span class="s2">"airflow-version"</span><span class="p">:</span> <span class="s2">"v"</span> <span class="o">+</span> <span class="n">version</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span> <span class="s2">"-"</span><span class="p">)</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"+"</span><span class="p">,</span> <span class="s2">"-"</span><span class="p">)}</span> |
| <span class="p">)</span> |
| <span class="n">pipeline_options</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">options</span><span class="p">)</span> |
| |
| <span class="k">def</span> <span class="nf">set_current_job_id</span><span class="p">(</span><span class="n">job_id</span><span class="p">):</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">job_id</span> <span class="o">=</span> <span class="n">job_id</span> |
| |
| <span class="n">process_line_callback</span> <span class="o">=</span> <span class="n">process_line_and_extract_dataflow_job_id_callback</span><span class="p">(</span> |
| <span class="n">on_new_job_id_callback</span><span class="o">=</span><span class="n">set_current_job_id</span> |
| <span class="p">)</span> |
| |
| <span class="k">with</span> <span class="n">ExitStack</span><span class="p">()</span> <span class="k">as</span> <span class="n">exit_stack</span><span class="p">:</span> |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">jar</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"gs://"</span><span class="p">):</span> |
| <span class="n">gcs_hook</span> <span class="o">=</span> <span class="n">GCSHook</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">gcp_conn_id</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">delegate_to</span><span class="p">)</span> |
| <span class="n">tmp_gcs_file</span> <span class="o">=</span> <span class="n">exit_stack</span><span class="o">.</span><span class="n">enter_context</span><span class="p">(</span><span class="n">gcs_hook</span><span class="o">.</span><span class="n">provide_file</span><span class="p">(</span><span class="n">object_url</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">jar</span><span class="p">))</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">jar</span> <span class="o">=</span> <span class="n">tmp_gcs_file</span><span class="o">.</span><span class="n">name</span> |
| |
| <span class="n">is_running</span> <span class="o">=</span> <span class="kc">False</span> |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">check_if_running</span> <span class="o">!=</span> <span class="n">CheckJobRunning</span><span class="o">.</span><span class="n">IgnoreJob</span><span class="p">:</span> |
| <span class="n">is_running</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dataflow_hook</span><span class="o">.</span><span class="n">is_job_dataflow_running</span><span class="p">(</span> |
| <span class="n">name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">job_name</span><span class="p">,</span> |
| <span class="n">variables</span><span class="o">=</span><span class="n">pipeline_options</span><span class="p">,</span> |
| <span class="p">)</span> |
| <span class="k">while</span> <span class="n">is_running</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">check_if_running</span> <span class="o">==</span> <span class="n">CheckJobRunning</span><span class="o">.</span><span class="n">WaitForRun</span><span class="p">:</span> |
| |
| <span class="n">is_running</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dataflow_hook</span><span class="o">.</span><span class="n">is_job_dataflow_running</span><span class="p">(</span> |
| <span class="n">name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">job_name</span><span class="p">,</span> |
| <span class="n">variables</span><span class="o">=</span><span class="n">pipeline_options</span><span class="p">,</span> |
| <span class="p">)</span> |
| <span class="k">if</span> <span class="ow">not</span> <span class="n">is_running</span><span class="p">:</span> |
| <span class="n">pipeline_options</span><span class="p">[</span><span class="s2">"jobName"</span><span class="p">]</span> <span class="o">=</span> <span class="n">job_name</span> |
| <span class="k">with</span> <span class="bp">self</span><span class="o">.</span><span class="n">dataflow_hook</span><span class="o">.</span><span class="n">provide_authorized_gcloud</span><span class="p">():</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">beam_hook</span><span class="o">.</span><span class="n">start_java_pipeline</span><span class="p">(</span> |
| <span class="n">variables</span><span class="o">=</span><span class="n">pipeline_options</span><span class="p">,</span> |
| <span class="n">jar</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">jar</span><span class="p">,</span> |
| <span class="n">job_class</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">job_class</span><span class="p">,</span> |
| <span class="n">process_line_callback</span><span class="o">=</span><span class="n">process_line_callback</span><span class="p">,</span> |
| <span class="p">)</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">dataflow_hook</span><span class="o">.</span><span class="n">wait_for_done</span><span class="p">(</span> |
| <span class="n">job_name</span><span class="o">=</span><span class="n">job_name</span><span class="p">,</span> |
| <span class="n">location</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">location</span><span class="p">,</span> |
| <span class="n">job_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">job_id</span><span class="p">,</span> |
| <span class="n">multiple_jobs</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">multiple_jobs</span><span class="p">,</span> |
| <span class="p">)</span> |
| |
| <span class="k">return</span> <span class="p">{</span><span class="s2">"job_id"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">job_id</span><span class="p">}</span></div> |
| |
| <div class="viewcode-block" id="DataflowCreateJavaJobOperator.on_kill"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.DataflowCreateJavaJobOperator.on_kill">[docs]</a> <span class="k">def</span> <span class="nf">on_kill</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">log</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">"On kill."</span><span class="p">)</span> |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">job_id</span><span class="p">:</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">dataflow_hook</span><span class="o">.</span><span class="n">cancel_job</span><span class="p">(</span> |
| <span class="n">job_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">job_id</span><span class="p">,</span> <span class="n">project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">project_id</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">dataflow_hook</span><span class="o">.</span><span class="n">project_id</span></div></div> |
| <span class="p">)</span> |
| |
| |
| <div class="viewcode-block" id="DataflowTemplatedJobStartOperator"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.DataflowTemplatedJobStartOperator">[docs]</a><span class="k">class</span> <span class="nc">DataflowTemplatedJobStartOperator</span><span class="p">(</span><span class="n">BaseOperator</span><span class="p">):</span> |
| <span class="sd">"""</span> |
| <span class="sd"> Start a Templated Cloud Dataflow job. The parameters of the operation</span> |
| <span class="sd"> will be passed to the job.</span> |
| |
| <span class="sd"> .. seealso::</span> |
| <span class="sd"> For more information on how to use this operator, take a look at the guide:</span> |
| <span class="sd"> :ref:`howto/operator:DataflowTemplatedJobStartOperator`</span> |
| |
| <span class="sd"> :param template: The reference to the Dataflow template.</span> |
| <span class="sd"> :param job_name: The 'jobName' to use when executing the Dataflow template</span> |
| <span class="sd"> (templated).</span> |
| <span class="sd"> :param options: Map of job runtime environment options.</span> |
| <span class="sd"> It will update environment argument if passed.</span> |
| |
| <span class="sd"> .. seealso::</span> |
| <span class="sd"> For more information on possible configurations, look at the API documentation</span> |
| <span class="sd"> `https://cloud.google.com/dataflow/pipelines/specifying-exec-params</span> |
| <span class="sd"> <https://cloud.google.com/dataflow/docs/reference/rest/v1b3/RuntimeEnvironment>`__</span> |
| |
| <span class="sd"> :param dataflow_default_options: Map of default job environment options.</span> |
| <span class="sd"> :param parameters: Map of job specific parameters for the template.</span> |
| <span class="sd"> :param project_id: Optional, the Google Cloud project ID in which to start a job.</span> |
| <span class="sd"> If set to None or missing, the default project_id from the Google Cloud connection is used.</span> |
| <span class="sd"> :param location: Job location.</span> |
| <span class="sd"> :param gcp_conn_id: The connection ID to use connecting to Google Cloud.</span> |
| <span class="sd"> :param delegate_to: The account to impersonate using domain-wide delegation of authority,</span> |
| <span class="sd"> if any. For this to work, the service account making the request must have</span> |
| <span class="sd"> domain-wide delegation enabled.</span> |
| <span class="sd"> :param poll_sleep: The time in seconds to sleep between polling Google</span> |
| <span class="sd"> Cloud Platform for the dataflow job status while the job is in the</span> |
| <span class="sd"> JOB_STATE_RUNNING state.</span> |
| <span class="sd"> :param impersonation_chain: Optional service account to impersonate using short-term</span> |
| <span class="sd"> credentials, or chained list of accounts required to get the access_token</span> |
| <span class="sd"> of the last account in the list, which will be impersonated in the request.</span> |
| <span class="sd"> If set as a string, the account must grant the originating account</span> |
| <span class="sd"> the Service Account Token Creator IAM role.</span> |
| <span class="sd"> If set as a sequence, the identities from the list must grant</span> |
| <span class="sd"> Service Account Token Creator IAM role to the directly preceding identity, with first</span> |
| <span class="sd"> account from the list granting this role to the originating account (templated).</span> |
| <span class="sd"> :param environment: Optional, Map of job runtime environment options.</span> |
| |
| <span class="sd"> .. seealso::</span> |
| <span class="sd"> For more information on possible configurations, look at the API documentation</span> |
| <span class="sd"> `https://cloud.google.com/dataflow/pipelines/specifying-exec-params</span> |
| <span class="sd"> <https://cloud.google.com/dataflow/docs/reference/rest/v1b3/RuntimeEnvironment>`__</span> |
| <span class="sd"> :param cancel_timeout: How long (in seconds) operator should wait for the pipeline to be</span> |
| <span class="sd"> successfully cancelled when task is being killed.</span> |
| <span class="sd"> :param append_job_name: True if unique suffix has to be appended to job name.</span> |
| <span class="sd"> :param wait_until_finished: (Optional)</span> |
| <span class="sd"> If True, wait for the end of pipeline execution before exiting.</span> |
| <span class="sd"> If False, only submits job.</span> |
| <span class="sd"> If None, default behavior.</span> |
| |
| <span class="sd"> The default behavior depends on the type of pipeline:</span> |
| |
| <span class="sd"> * for the streaming pipeline, wait for jobs to start,</span> |
| <span class="sd"> * for the batch pipeline, wait for the jobs to complete.</span> |
| |
| <span class="sd"> .. warning::</span> |
| |
| <span class="sd"> You cannot call ``PipelineResult.wait_until_finish`` method in your pipeline code for the operator</span> |
| <span class="sd"> to work properly. i. e. you must use asynchronous execution. Otherwise, your pipeline will</span> |
| <span class="sd"> always wait until finished. For more information, look at:</span> |
| <span class="sd"> `Asynchronous execution</span> |
| <span class="sd"> <https://cloud.google.com/dataflow/docs/guides/specifying-exec-params#python_10>`__</span> |
| |
| <span class="sd"> The process of starting the Dataflow job in Airflow consists of two steps:</span> |
| |
| <span class="sd"> * running a subprocess and reading the stderr/stderr log for the job id.</span> |
| <span class="sd"> * loop waiting for the end of the job ID from the previous step.</span> |
| <span class="sd"> This loop checks the status of the job.</span> |
| |
| <span class="sd"> Step two is started just after step one has finished, so if you have wait_until_finished in your</span> |
| <span class="sd"> pipeline code, step two will not start until the process stops. When this process stops,</span> |
| <span class="sd"> steps two will run, but it will only execute one iteration as the job will be in a terminal state.</span> |
| |
| <span class="sd"> If you in your pipeline do not call the wait_for_pipeline method but pass wait_until_finish=True</span> |
| <span class="sd"> to the operator, the second loop will wait for the job's terminal state.</span> |
| |
| <span class="sd"> If you in your pipeline do not call the wait_for_pipeline method, and pass wait_until_finish=False</span> |
| <span class="sd"> to the operator, the second loop will check once is job not in terminal state and exit the loop.</span> |
| |
| <span class="sd"> It's a good practice to define dataflow_* parameters in the default_args of the dag</span> |
| <span class="sd"> like the project, zone and staging location.</span> |
| |
| <span class="sd"> .. seealso::</span> |
| <span class="sd"> https://cloud.google.com/dataflow/docs/reference/rest/v1b3/LaunchTemplateParameters</span> |
| <span class="sd"> https://cloud.google.com/dataflow/docs/reference/rest/v1b3/RuntimeEnvironment</span> |
| |
| <span class="sd"> .. code-block:: python</span> |
| |
| <span class="sd"> default_args = {</span> |
| <span class="sd"> "dataflow_default_options": {</span> |
| <span class="sd"> "zone": "europe-west1-d",</span> |
| <span class="sd"> "tempLocation": "gs://my-staging-bucket/staging/",</span> |
| <span class="sd"> }</span> |
| <span class="sd"> }</span> |
| |
| <span class="sd"> You need to pass the path to your dataflow template as a file reference with the</span> |
| <span class="sd"> ``template`` parameter. Use ``parameters`` to pass on parameters to your job.</span> |
| <span class="sd"> Use ``environment`` to pass on runtime environment variables to your job.</span> |
| |
| <span class="sd"> .. code-block:: python</span> |
| |
| <span class="sd"> t1 = DataflowTemplatedJobStartOperator(</span> |
| <span class="sd"> task_id="dataflow_example",</span> |
| <span class="sd"> template="{{var.value.gcp_dataflow_base}}",</span> |
| <span class="sd"> parameters={</span> |
| <span class="sd"> "inputFile": "gs://bucket/input/my_input.txt",</span> |
| <span class="sd"> "outputFile": "gs://bucket/output/my_output.txt",</span> |
| <span class="sd"> },</span> |
| <span class="sd"> gcp_conn_id="airflow-conn-id",</span> |
| <span class="sd"> dag=my_dag,</span> |
| <span class="sd"> )</span> |
| |
| <span class="sd"> ``template``, ``dataflow_default_options``, ``parameters``, and ``job_name`` are</span> |
| <span class="sd"> templated so you can use variables in them.</span> |
| |
| <span class="sd"> Note that ``dataflow_default_options`` is expected to save high-level options</span> |
| <span class="sd"> for project information, which apply to all dataflow operators in the DAG.</span> |
| |
| <span class="sd"> .. seealso::</span> |
| <span class="sd"> https://cloud.google.com/dataflow/docs/reference/rest/v1b3</span> |
| <span class="sd"> /LaunchTemplateParameters</span> |
| <span class="sd"> https://cloud.google.com/dataflow/docs/reference/rest/v1b3/RuntimeEnvironment</span> |
| <span class="sd"> For more detail on job template execution have a look at the reference:</span> |
| <span class="sd"> https://cloud.google.com/dataflow/docs/templates/executing-templates</span> |
| <span class="sd"> """</span> |
| |
| <div class="viewcode-block" id="DataflowTemplatedJobStartOperator.template_fields"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.DataflowTemplatedJobStartOperator.template_fields">[docs]</a> <span class="n">template_fields</span><span class="p">:</span> <span class="n">Sequence</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span> |
| <span class="s2">"template"</span><span class="p">,</span> |
| <span class="s2">"job_name"</span><span class="p">,</span> |
| <span class="s2">"options"</span><span class="p">,</span> |
| <span class="s2">"parameters"</span><span class="p">,</span> |
| <span class="s2">"project_id"</span><span class="p">,</span> |
| <span class="s2">"location"</span><span class="p">,</span> |
| <span class="s2">"gcp_conn_id"</span><span class="p">,</span> |
| <span class="s2">"impersonation_chain"</span><span class="p">,</span> |
| <span class="s2">"environment"</span><span class="p">,</span> |
| <span class="s2">"dataflow_default_options"</span><span class="p">,</span></div> |
| <span class="p">)</span> |
| <div class="viewcode-block" id="DataflowTemplatedJobStartOperator.ui_color"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.DataflowTemplatedJobStartOperator.ui_color">[docs]</a> <span class="n">ui_color</span> <span class="o">=</span> <span class="s2">"#0273d4"</span></div> |
| <div class="viewcode-block" id="DataflowTemplatedJobStartOperator.operator_extra_links"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.DataflowTemplatedJobStartOperator.operator_extra_links">[docs]</a> <span class="n">operator_extra_links</span> <span class="o">=</span> <span class="p">(</span><span class="n">DataflowJobLink</span><span class="p">(),)</span></div> |
| |
| <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span> |
| <span class="bp">self</span><span class="p">,</span> |
| <span class="o">*</span><span class="p">,</span> |
| <span class="n">template</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> |
| <span class="n">job_name</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"{{task.task_id}}"</span><span class="p">,</span> |
| <span class="n">options</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Any</span><span class="p">]</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">dataflow_default_options</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Any</span><span class="p">]</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">parameters</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">]</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="p">:</span> <span class="nb">str</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">location</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="n">DEFAULT_DATAFLOW_LOCATION</span><span class="p">,</span> |
| <span class="n">gcp_conn_id</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"google_cloud_default"</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="p">:</span> <span class="nb">str</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">poll_sleep</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">10</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="p">:</span> <span class="nb">str</span> <span class="o">|</span> <span class="n">Sequence</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">environment</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">cancel_timeout</span><span class="p">:</span> <span class="nb">int</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="mi">10</span> <span class="o">*</span> <span class="mi">60</span><span class="p">,</span> |
| <span class="n">wait_until_finished</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">append_job_name</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> |
| <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span> |
| <span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">template</span> <span class="o">=</span> <span class="n">template</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">job_name</span> <span class="o">=</span> <span class="n">job_name</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">options</span> <span class="o">=</span> <span class="n">options</span> <span class="ow">or</span> <span class="p">{}</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">dataflow_default_options</span> <span class="o">=</span> <span class="n">dataflow_default_options</span> <span class="ow">or</span> <span class="p">{}</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">parameters</span> <span class="o">=</span> <span class="n">parameters</span> <span class="ow">or</span> <span class="p">{}</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">project_id</span> <span class="o">=</span> <span class="n">project_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">location</span> <span class="o">=</span> <span class="n">location</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">gcp_conn_id</span> <span class="o">=</span> <span class="n">gcp_conn_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">delegate_to</span> <span class="o">=</span> <span class="n">delegate_to</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">poll_sleep</span> <span class="o">=</span> <span class="n">poll_sleep</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">job</span> <span class="o">=</span> <span class="kc">None</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">hook</span><span class="p">:</span> <span class="n">DataflowHook</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">impersonation_chain</span> <span class="o">=</span> <span class="n">impersonation_chain</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">environment</span> <span class="o">=</span> <span class="n">environment</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">cancel_timeout</span> <span class="o">=</span> <span class="n">cancel_timeout</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">wait_until_finished</span> <span class="o">=</span> <span class="n">wait_until_finished</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">append_job_name</span> <span class="o">=</span> <span class="n">append_job_name</span> |
| |
| <div class="viewcode-block" id="DataflowTemplatedJobStartOperator.execute"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.DataflowTemplatedJobStartOperator.execute">[docs]</a> <span class="k">def</span> <span class="nf">execute</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">context</span><span class="p">:</span> <span class="n">Context</span><span class="p">)</span> <span class="o">-></span> <span class="nb">dict</span><span class="p">:</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">hook</span> <span class="o">=</span> <span class="n">DataflowHook</span><span class="p">(</span> |
| <span class="n">gcp_conn_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">gcp_conn_id</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">delegate_to</span><span class="p">,</span> |
| <span class="n">poll_sleep</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">poll_sleep</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">impersonation_chain</span><span class="p">,</span> |
| <span class="n">cancel_timeout</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">cancel_timeout</span><span class="p">,</span> |
| <span class="n">wait_until_finished</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">wait_until_finished</span><span class="p">,</span> |
| <span class="p">)</span> |
| |
| <span class="k">def</span> <span class="nf">set_current_job</span><span class="p">(</span><span class="n">current_job</span><span class="p">):</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">job</span> <span class="o">=</span> <span class="n">current_job</span> |
| <span class="n">DataflowJobLink</span><span class="o">.</span><span class="n">persist</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">context</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">project_id</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">location</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">job</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"id"</span><span class="p">))</span> |
| |
| <span class="n">options</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dataflow_default_options</span> |
| <span class="n">options</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">options</span><span class="p">)</span> |
| <span class="n">job</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">hook</span><span class="o">.</span><span class="n">start_template_dataflow</span><span class="p">(</span> |
| <span class="n">job_name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">job_name</span><span class="p">,</span> |
| <span class="n">variables</span><span class="o">=</span><span class="n">options</span><span class="p">,</span> |
| <span class="n">parameters</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">parameters</span><span class="p">,</span> |
| <span class="n">dataflow_template</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">template</span><span class="p">,</span> |
| <span class="n">on_new_job_callback</span><span class="o">=</span><span class="n">set_current_job</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">project_id</span><span class="p">,</span> |
| <span class="n">location</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">location</span><span class="p">,</span> |
| <span class="n">environment</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">environment</span><span class="p">,</span> |
| <span class="n">append_job_name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">append_job_name</span><span class="p">,</span> |
| <span class="p">)</span> |
| |
| <span class="k">return</span> <span class="n">job</span></div> |
| |
| <div class="viewcode-block" id="DataflowTemplatedJobStartOperator.on_kill"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.DataflowTemplatedJobStartOperator.on_kill">[docs]</a> <span class="k">def</span> <span class="nf">on_kill</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">log</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">"On kill."</span><span class="p">)</span> |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">job</span><span class="p">:</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">hook</span><span class="o">.</span><span class="n">cancel_job</span><span class="p">(</span> |
| <span class="n">job_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">job</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"id"</span><span class="p">),</span> |
| <span class="n">project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">job</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"projectId"</span><span class="p">),</span> |
| <span class="n">location</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">job</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"location"</span><span class="p">),</span></div></div> |
| <span class="p">)</span> |
| |
| |
| <div class="viewcode-block" id="DataflowStartFlexTemplateOperator"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.DataflowStartFlexTemplateOperator">[docs]</a><span class="k">class</span> <span class="nc">DataflowStartFlexTemplateOperator</span><span class="p">(</span><span class="n">BaseOperator</span><span class="p">):</span> |
| <span class="sd">"""</span> |
| <span class="sd"> Starts flex templates with the Dataflow pipeline.</span> |
| |
| <span class="sd"> .. seealso::</span> |
| <span class="sd"> For more information on how to use this operator, take a look at the guide:</span> |
| <span class="sd"> :ref:`howto/operator:DataflowStartFlexTemplateOperator`</span> |
| |
| <span class="sd"> :param body: The request body. See:</span> |
| <span class="sd"> https://cloud.google.com/dataflow/docs/reference/rest/v1b3/projects.locations.flexTemplates/launch#request-body</span> |
| <span class="sd"> :param location: The location of the Dataflow job (for example europe-west1)</span> |
| <span class="sd"> :param project_id: The ID of the GCP project that owns the job.</span> |
| <span class="sd"> If set to ``None`` or missing, the default project_id from the GCP connection is used.</span> |
| <span class="sd"> :param gcp_conn_id: The connection ID to use connecting to Google Cloud</span> |
| <span class="sd"> Platform.</span> |
| <span class="sd"> :param delegate_to: The account to impersonate, if any.</span> |
| <span class="sd"> For this to work, the service account making the request must have</span> |
| <span class="sd"> domain-wide delegation enabled.</span> |
| <span class="sd"> :param drain_pipeline: Optional, set to True if want to stop streaming job by draining it</span> |
| <span class="sd"> instead of canceling during killing task instance. See:</span> |
| <span class="sd"> https://cloud.google.com/dataflow/docs/guides/stopping-a-pipeline</span> |
| <span class="sd"> :param cancel_timeout: How long (in seconds) operator should wait for the pipeline to be</span> |
| <span class="sd"> successfully cancelled when task is being killed.</span> |
| <span class="sd"> :param wait_until_finished: (Optional)</span> |
| <span class="sd"> If True, wait for the end of pipeline execution before exiting.</span> |
| <span class="sd"> If False, only submits job.</span> |
| <span class="sd"> If None, default behavior.</span> |
| |
| <span class="sd"> The default behavior depends on the type of pipeline:</span> |
| |
| <span class="sd"> * for the streaming pipeline, wait for jobs to start,</span> |
| <span class="sd"> * for the batch pipeline, wait for the jobs to complete.</span> |
| |
| <span class="sd"> .. warning::</span> |
| |
| <span class="sd"> You cannot call ``PipelineResult.wait_until_finish`` method in your pipeline code for the operator</span> |
| <span class="sd"> to work properly. i. e. you must use asynchronous execution. Otherwise, your pipeline will</span> |
| <span class="sd"> always wait until finished. For more information, look at:</span> |
| <span class="sd"> `Asynchronous execution</span> |
| <span class="sd"> <https://cloud.google.com/dataflow/docs/guides/specifying-exec-params#python_10>`__</span> |
| |
| <span class="sd"> The process of starting the Dataflow job in Airflow consists of two steps:</span> |
| |
| <span class="sd"> * running a subprocess and reading the stderr/stderr log for the job id.</span> |
| <span class="sd"> * loop waiting for the end of the job ID from the previous step.</span> |
| <span class="sd"> This loop checks the status of the job.</span> |
| |
| <span class="sd"> Step two is started just after step one has finished, so if you have wait_until_finished in your</span> |
| <span class="sd"> pipeline code, step two will not start until the process stops. When this process stops,</span> |
| <span class="sd"> steps two will run, but it will only execute one iteration as the job will be in a terminal state.</span> |
| |
| <span class="sd"> If you in your pipeline do not call the wait_for_pipeline method but pass wait_until_finish=True</span> |
| <span class="sd"> to the operator, the second loop will wait for the job's terminal state.</span> |
| |
| <span class="sd"> If you in your pipeline do not call the wait_for_pipeline method, and pass wait_until_finish=False</span> |
| <span class="sd"> to the operator, the second loop will check once is job not in terminal state and exit the loop.</span> |
| <span class="sd"> :param impersonation_chain: Optional service account to impersonate using short-term</span> |
| <span class="sd"> credentials, or chained list of accounts required to get the access_token</span> |
| <span class="sd"> of the last account in the list, which will be impersonated in the request.</span> |
| <span class="sd"> If set as a string, the account must grant the originating account</span> |
| <span class="sd"> the Service Account Token Creator IAM role.</span> |
| <span class="sd"> If set as a sequence, the identities from the list must grant</span> |
| <span class="sd"> Service Account Token Creator IAM role to the directly preceding identity, with first</span> |
| <span class="sd"> account from the list granting this role to the originating account (templated).</span> |
| <span class="sd"> """</span> |
| |
| <div class="viewcode-block" id="DataflowStartFlexTemplateOperator.template_fields"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.DataflowStartFlexTemplateOperator.template_fields">[docs]</a> <span class="n">template_fields</span><span class="p">:</span> <span class="n">Sequence</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="s2">"body"</span><span class="p">,</span> <span class="s2">"location"</span><span class="p">,</span> <span class="s2">"project_id"</span><span class="p">,</span> <span class="s2">"gcp_conn_id"</span><span class="p">)</span></div> |
| <div class="viewcode-block" id="DataflowStartFlexTemplateOperator.operator_extra_links"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.DataflowStartFlexTemplateOperator.operator_extra_links">[docs]</a> <span class="n">operator_extra_links</span> <span class="o">=</span> <span class="p">(</span><span class="n">DataflowJobLink</span><span class="p">(),)</span></div> |
| |
| <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span> |
| <span class="bp">self</span><span class="p">,</span> |
| <span class="n">body</span><span class="p">:</span> <span class="nb">dict</span><span class="p">,</span> |
| <span class="n">location</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="p">:</span> <span class="nb">str</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">gcp_conn_id</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"google_cloud_default"</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="p">:</span> <span class="nb">str</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">drain_pipeline</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> |
| <span class="n">cancel_timeout</span><span class="p">:</span> <span class="nb">int</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="mi">10</span> <span class="o">*</span> <span class="mi">60</span><span class="p">,</span> |
| <span class="n">wait_until_finished</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="p">:</span> <span class="nb">str</span> <span class="o">|</span> <span class="n">Sequence</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="o">*</span><span class="n">args</span><span class="p">,</span> |
| <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span> |
| <span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">body</span> <span class="o">=</span> <span class="n">body</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">location</span> <span class="o">=</span> <span class="n">location</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">project_id</span> <span class="o">=</span> <span class="n">project_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">gcp_conn_id</span> <span class="o">=</span> <span class="n">gcp_conn_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">delegate_to</span> <span class="o">=</span> <span class="n">delegate_to</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">drain_pipeline</span> <span class="o">=</span> <span class="n">drain_pipeline</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">cancel_timeout</span> <span class="o">=</span> <span class="n">cancel_timeout</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">wait_until_finished</span> <span class="o">=</span> <span class="n">wait_until_finished</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">job</span> <span class="o">=</span> <span class="kc">None</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">hook</span><span class="p">:</span> <span class="n">DataflowHook</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">impersonation_chain</span> <span class="o">=</span> <span class="n">impersonation_chain</span> |
| |
| <div class="viewcode-block" id="DataflowStartFlexTemplateOperator.execute"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.DataflowStartFlexTemplateOperator.execute">[docs]</a> <span class="k">def</span> <span class="nf">execute</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">context</span><span class="p">:</span> <span class="n">Context</span><span class="p">):</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">hook</span> <span class="o">=</span> <span class="n">DataflowHook</span><span class="p">(</span> |
| <span class="n">gcp_conn_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">gcp_conn_id</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">delegate_to</span><span class="p">,</span> |
| <span class="n">drain_pipeline</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">drain_pipeline</span><span class="p">,</span> |
| <span class="n">cancel_timeout</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">cancel_timeout</span><span class="p">,</span> |
| <span class="n">wait_until_finished</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">wait_until_finished</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">impersonation_chain</span><span class="p">,</span> |
| <span class="p">)</span> |
| |
| <span class="k">def</span> <span class="nf">set_current_job</span><span class="p">(</span><span class="n">current_job</span><span class="p">):</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">job</span> <span class="o">=</span> <span class="n">current_job</span> |
| <span class="n">DataflowJobLink</span><span class="o">.</span><span class="n">persist</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">context</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">project_id</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">location</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">job</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"id"</span><span class="p">))</span> |
| |
| <span class="n">job</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">hook</span><span class="o">.</span><span class="n">start_flex_template</span><span class="p">(</span> |
| <span class="n">body</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">body</span><span class="p">,</span> |
| <span class="n">location</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">location</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">project_id</span><span class="p">,</span> |
| <span class="n">on_new_job_callback</span><span class="o">=</span><span class="n">set_current_job</span><span class="p">,</span> |
| <span class="p">)</span> |
| |
| <span class="k">return</span> <span class="n">job</span></div> |
| |
| <div class="viewcode-block" id="DataflowStartFlexTemplateOperator.on_kill"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.DataflowStartFlexTemplateOperator.on_kill">[docs]</a> <span class="k">def</span> <span class="nf">on_kill</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">log</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">"On kill."</span><span class="p">)</span> |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">job</span><span class="p">:</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">hook</span><span class="o">.</span><span class="n">cancel_job</span><span class="p">(</span> |
| <span class="n">job_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">job</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"id"</span><span class="p">),</span> |
| <span class="n">project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">job</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"projectId"</span><span class="p">),</span> |
| <span class="n">location</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">job</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"location"</span><span class="p">),</span></div></div> |
| <span class="p">)</span> |
| |
| |
| <div class="viewcode-block" id="DataflowStartSqlJobOperator"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.DataflowStartSqlJobOperator">[docs]</a><span class="k">class</span> <span class="nc">DataflowStartSqlJobOperator</span><span class="p">(</span><span class="n">BaseOperator</span><span class="p">):</span> |
| <span class="sd">"""</span> |
| <span class="sd"> Starts Dataflow SQL query.</span> |
| |
| <span class="sd"> .. seealso::</span> |
| <span class="sd"> For more information on how to use this operator, take a look at the guide:</span> |
| <span class="sd"> :ref:`howto/operator:DataflowStartSqlJobOperator`</span> |
| |
| <span class="sd"> .. warning::</span> |
| <span class="sd"> This operator requires ``gcloud`` command (Google Cloud SDK) must be installed on the Airflow worker</span> |
| <span class="sd"> <https://cloud.google.com/sdk/docs/install>`__</span> |
| |
| <span class="sd"> :param job_name: The unique name to assign to the Cloud Dataflow job.</span> |
| <span class="sd"> :param query: The SQL query to execute.</span> |
| <span class="sd"> :param options: Job parameters to be executed. It can be a dictionary with the following keys.</span> |
| |
| <span class="sd"> For more information, look at:</span> |
| <span class="sd"> `https://cloud.google.com/sdk/gcloud/reference/beta/dataflow/sql/query</span> |
| <span class="sd"> <gcloud beta dataflow sql query>`__</span> |
| <span class="sd"> command reference</span> |
| |
| <span class="sd"> :param location: The location of the Dataflow job (for example europe-west1)</span> |
| <span class="sd"> :param project_id: The ID of the GCP project that owns the job.</span> |
| <span class="sd"> If set to ``None`` or missing, the default project_id from the GCP connection is used.</span> |
| <span class="sd"> :param gcp_conn_id: The connection ID to use connecting to Google Cloud</span> |
| <span class="sd"> Platform.</span> |
| <span class="sd"> :param delegate_to: The account to impersonate, if any.</span> |
| <span class="sd"> For this to work, the service account making the request must have</span> |
| <span class="sd"> domain-wide delegation enabled.</span> |
| <span class="sd"> :param drain_pipeline: Optional, set to True if want to stop streaming job by draining it</span> |
| <span class="sd"> instead of canceling during killing task instance. See:</span> |
| <span class="sd"> https://cloud.google.com/dataflow/docs/guides/stopping-a-pipeline</span> |
| <span class="sd"> :param impersonation_chain: Optional service account to impersonate using short-term</span> |
| <span class="sd"> credentials, or chained list of accounts required to get the access_token</span> |
| <span class="sd"> of the last account in the list, which will be impersonated in the request.</span> |
| <span class="sd"> If set as a string, the account must grant the originating account</span> |
| <span class="sd"> the Service Account Token Creator IAM role.</span> |
| <span class="sd"> If set as a sequence, the identities from the list must grant</span> |
| <span class="sd"> Service Account Token Creator IAM role to the directly preceding identity, with first</span> |
| <span class="sd"> account from the list granting this role to the originating account (templated).</span> |
| <span class="sd"> """</span> |
| |
| <div class="viewcode-block" id="DataflowStartSqlJobOperator.template_fields"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.DataflowStartSqlJobOperator.template_fields">[docs]</a> <span class="n">template_fields</span><span class="p">:</span> <span class="n">Sequence</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span> |
| <span class="s2">"job_name"</span><span class="p">,</span> |
| <span class="s2">"query"</span><span class="p">,</span> |
| <span class="s2">"options"</span><span class="p">,</span> |
| <span class="s2">"location"</span><span class="p">,</span> |
| <span class="s2">"project_id"</span><span class="p">,</span> |
| <span class="s2">"gcp_conn_id"</span><span class="p">,</span></div> |
| <span class="p">)</span> |
| <div class="viewcode-block" id="DataflowStartSqlJobOperator.template_fields_renderers"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.DataflowStartSqlJobOperator.template_fields_renderers">[docs]</a> <span class="n">template_fields_renderers</span> <span class="o">=</span> <span class="p">{</span><span class="s2">"query"</span><span class="p">:</span> <span class="s2">"sql"</span><span class="p">}</span></div> |
| |
| <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span> |
| <span class="bp">self</span><span class="p">,</span> |
| <span class="n">job_name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> |
| <span class="n">query</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> |
| <span class="n">options</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Any</span><span class="p">],</span> |
| <span class="n">location</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="n">DEFAULT_DATAFLOW_LOCATION</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="p">:</span> <span class="nb">str</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">gcp_conn_id</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"google_cloud_default"</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="p">:</span> <span class="nb">str</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">drain_pipeline</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="p">:</span> <span class="nb">str</span> <span class="o">|</span> <span class="n">Sequence</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="o">*</span><span class="n">args</span><span class="p">,</span> |
| <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span> |
| <span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">job_name</span> <span class="o">=</span> <span class="n">job_name</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">query</span> <span class="o">=</span> <span class="n">query</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">options</span> <span class="o">=</span> <span class="n">options</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">location</span> <span class="o">=</span> <span class="n">location</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">project_id</span> <span class="o">=</span> <span class="n">project_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">gcp_conn_id</span> <span class="o">=</span> <span class="n">gcp_conn_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">delegate_to</span> <span class="o">=</span> <span class="n">delegate_to</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">drain_pipeline</span> <span class="o">=</span> <span class="n">drain_pipeline</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">impersonation_chain</span> <span class="o">=</span> <span class="n">impersonation_chain</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">job</span> <span class="o">=</span> <span class="kc">None</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">hook</span><span class="p">:</span> <span class="n">DataflowHook</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span> |
| |
| <div class="viewcode-block" id="DataflowStartSqlJobOperator.execute"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.DataflowStartSqlJobOperator.execute">[docs]</a> <span class="k">def</span> <span class="nf">execute</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">context</span><span class="p">:</span> <span class="n">Context</span><span class="p">):</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">hook</span> <span class="o">=</span> <span class="n">DataflowHook</span><span class="p">(</span> |
| <span class="n">gcp_conn_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">gcp_conn_id</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">delegate_to</span><span class="p">,</span> |
| <span class="n">drain_pipeline</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">drain_pipeline</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">impersonation_chain</span><span class="p">,</span> |
| <span class="p">)</span> |
| |
| <span class="k">def</span> <span class="nf">set_current_job</span><span class="p">(</span><span class="n">current_job</span><span class="p">):</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">job</span> <span class="o">=</span> <span class="n">current_job</span> |
| |
| <span class="n">job</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">hook</span><span class="o">.</span><span class="n">start_sql_job</span><span class="p">(</span> |
| <span class="n">job_name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">job_name</span><span class="p">,</span> |
| <span class="n">query</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">query</span><span class="p">,</span> |
| <span class="n">options</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">options</span><span class="p">,</span> |
| <span class="n">location</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">location</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">project_id</span><span class="p">,</span> |
| <span class="n">on_new_job_callback</span><span class="o">=</span><span class="n">set_current_job</span><span class="p">,</span> |
| <span class="p">)</span> |
| |
| <span class="k">return</span> <span class="n">job</span></div> |
| |
| <div class="viewcode-block" id="DataflowStartSqlJobOperator.on_kill"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.DataflowStartSqlJobOperator.on_kill">[docs]</a> <span class="k">def</span> <span class="nf">on_kill</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">log</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">"On kill."</span><span class="p">)</span> |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">job</span><span class="p">:</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">hook</span><span class="o">.</span><span class="n">cancel_job</span><span class="p">(</span> |
| <span class="n">job_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">job</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"id"</span><span class="p">),</span> |
| <span class="n">project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">job</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"projectId"</span><span class="p">),</span> |
| <span class="n">location</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">job</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"location"</span><span class="p">),</span></div></div> |
| <span class="p">)</span> |
| |
| |
| <div class="viewcode-block" id="DataflowCreatePythonJobOperator"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.DataflowCreatePythonJobOperator">[docs]</a><span class="k">class</span> <span class="nc">DataflowCreatePythonJobOperator</span><span class="p">(</span><span class="n">BaseOperator</span><span class="p">):</span> |
| <span class="sd">"""</span> |
| <span class="sd"> Launching Cloud Dataflow jobs written in python. Note that both</span> |
| <span class="sd"> dataflow_default_options and options will be merged to specify pipeline</span> |
| <span class="sd"> execution parameter, and dataflow_default_options is expected to save</span> |
| <span class="sd"> high-level options, for instances, project and zone information, which</span> |
| <span class="sd"> apply to all dataflow operators in the DAG.</span> |
| |
| <span class="sd"> This class is deprecated.</span> |
| <span class="sd"> Please use `providers.apache.beam.operators.beam.BeamRunPythonPipelineOperator`.</span> |
| |
| <span class="sd"> .. seealso::</span> |
| <span class="sd"> For more detail on job submission have a look at the reference:</span> |
| <span class="sd"> https://cloud.google.com/dataflow/pipelines/specifying-exec-params</span> |
| |
| <span class="sd"> .. seealso::</span> |
| <span class="sd"> For more information on how to use this operator, take a look at the guide:</span> |
| <span class="sd"> :ref:`howto/operator:DataflowCreatePythonJobOperator`</span> |
| |
| <span class="sd"> :param py_file: Reference to the python dataflow pipeline file.py, e.g.,</span> |
| <span class="sd"> /some/local/file/path/to/your/python/pipeline/file. (templated)</span> |
| <span class="sd"> :param job_name: The 'job_name' to use when executing the Dataflow job</span> |
| <span class="sd"> (templated). This ends up being set in the pipeline options, so any entry</span> |
| <span class="sd"> with key ``'jobName'`` or ``'job_name'`` in ``options`` will be overwritten.</span> |
| <span class="sd"> :param py_options: Additional python options, e.g., ["-m", "-v"].</span> |
| <span class="sd"> :param dataflow_default_options: Map of default job options.</span> |
| <span class="sd"> :param options: Map of job specific options.The key must be a dictionary.</span> |
| <span class="sd"> The value can contain different types:</span> |
| |
| <span class="sd"> * If the value is None, the single option - ``--key`` (without value) will be added.</span> |
| <span class="sd"> * If the value is False, this option will be skipped</span> |
| <span class="sd"> * If the value is True, the single option - ``--key`` (without value) will be added.</span> |
| <span class="sd"> * If the value is list, the many options will be added for each key.</span> |
| <span class="sd"> If the value is ``['A', 'B']`` and the key is ``key`` then the ``--key=A --key=B`` options</span> |
| <span class="sd"> will be left</span> |
| <span class="sd"> * Other value types will be replaced with the Python textual representation.</span> |
| |
| <span class="sd"> When defining labels (``labels`` option), you can also provide a dictionary.</span> |
| <span class="sd"> :param py_interpreter: Python version of the beam pipeline.</span> |
| <span class="sd"> If None, this defaults to the python3.</span> |
| <span class="sd"> To track python versions supported by beam and related</span> |
| <span class="sd"> issues check: https://issues.apache.org/jira/browse/BEAM-1251</span> |
| <span class="sd"> :param py_requirements: Additional python package(s) to install.</span> |
| <span class="sd"> If a value is passed to this parameter, a new virtual environment has been created with</span> |
| <span class="sd"> additional packages installed.</span> |
| |
| <span class="sd"> You could also install the apache_beam package if it is not installed on your system or you want</span> |
| <span class="sd"> to use a different version.</span> |
| <span class="sd"> :param py_system_site_packages: Whether to include system_site_packages in your virtualenv.</span> |
| <span class="sd"> See virtualenv documentation for more information.</span> |
| |
| <span class="sd"> This option is only relevant if the ``py_requirements`` parameter is not None.</span> |
| <span class="sd"> :param gcp_conn_id: The connection ID to use connecting to Google Cloud.</span> |
| <span class="sd"> :param project_id: Optional, the Google Cloud project ID in which to start a job.</span> |
| <span class="sd"> If set to None or missing, the default project_id from the Google Cloud connection is used.</span> |
| <span class="sd"> :param location: Job location.</span> |
| <span class="sd"> :param delegate_to: The account to impersonate using domain-wide delegation of authority,</span> |
| <span class="sd"> if any. For this to work, the service account making the request must have</span> |
| <span class="sd"> domain-wide delegation enabled.</span> |
| <span class="sd"> :param poll_sleep: The time in seconds to sleep between polling Google</span> |
| <span class="sd"> Cloud Platform for the dataflow job status while the job is in the</span> |
| <span class="sd"> JOB_STATE_RUNNING state.</span> |
| <span class="sd"> :param drain_pipeline: Optional, set to True if want to stop streaming job by draining it</span> |
| <span class="sd"> instead of canceling during killing task instance. See:</span> |
| <span class="sd"> https://cloud.google.com/dataflow/docs/guides/stopping-a-pipeline</span> |
| <span class="sd"> :param cancel_timeout: How long (in seconds) operator should wait for the pipeline to be</span> |
| <span class="sd"> successfully cancelled when task is being killed.</span> |
| <span class="sd"> :param wait_until_finished: (Optional)</span> |
| <span class="sd"> If True, wait for the end of pipeline execution before exiting.</span> |
| <span class="sd"> If False, only submits job.</span> |
| <span class="sd"> If None, default behavior.</span> |
| |
| <span class="sd"> The default behavior depends on the type of pipeline:</span> |
| |
| <span class="sd"> * for the streaming pipeline, wait for jobs to start,</span> |
| <span class="sd"> * for the batch pipeline, wait for the jobs to complete.</span> |
| |
| <span class="sd"> .. warning::</span> |
| |
| <span class="sd"> You cannot call ``PipelineResult.wait_until_finish`` method in your pipeline code for the operator</span> |
| <span class="sd"> to work properly. i. e. you must use asynchronous execution. Otherwise, your pipeline will</span> |
| <span class="sd"> always wait until finished. For more information, look at:</span> |
| <span class="sd"> `Asynchronous execution</span> |
| <span class="sd"> <https://cloud.google.com/dataflow/docs/guides/specifying-exec-params#python_10>`__</span> |
| |
| <span class="sd"> The process of starting the Dataflow job in Airflow consists of two steps:</span> |
| |
| <span class="sd"> * running a subprocess and reading the stderr/stderr log for the job id.</span> |
| <span class="sd"> * loop waiting for the end of the job ID from the previous step.</span> |
| <span class="sd"> This loop checks the status of the job.</span> |
| |
| <span class="sd"> Step two is started just after step one has finished, so if you have wait_until_finished in your</span> |
| <span class="sd"> pipeline code, step two will not start until the process stops. When this process stops,</span> |
| <span class="sd"> steps two will run, but it will only execute one iteration as the job will be in a terminal state.</span> |
| |
| <span class="sd"> If you in your pipeline do not call the wait_for_pipeline method but pass wait_until_finish=True</span> |
| <span class="sd"> to the operator, the second loop will wait for the job's terminal state.</span> |
| |
| <span class="sd"> If you in your pipeline do not call the wait_for_pipeline method, and pass wait_until_finish=False</span> |
| <span class="sd"> to the operator, the second loop will check once is job not in terminal state and exit the loop.</span> |
| <span class="sd"> """</span> |
| |
| <div class="viewcode-block" id="DataflowCreatePythonJobOperator.template_fields"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.DataflowCreatePythonJobOperator.template_fields">[docs]</a> <span class="n">template_fields</span><span class="p">:</span> <span class="n">Sequence</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="s2">"options"</span><span class="p">,</span> <span class="s2">"dataflow_default_options"</span><span class="p">,</span> <span class="s2">"job_name"</span><span class="p">,</span> <span class="s2">"py_file"</span><span class="p">)</span></div> |
| |
| <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span> |
| <span class="bp">self</span><span class="p">,</span> |
| <span class="o">*</span><span class="p">,</span> |
| <span class="n">py_file</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> |
| <span class="n">job_name</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"{{task.task_id}}"</span><span class="p">,</span> |
| <span class="n">dataflow_default_options</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">options</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">py_interpreter</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"python3"</span><span class="p">,</span> |
| <span class="n">py_options</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">py_requirements</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">py_system_site_packages</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> |
| <span class="n">project_id</span><span class="p">:</span> <span class="nb">str</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">location</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="n">DEFAULT_DATAFLOW_LOCATION</span><span class="p">,</span> |
| <span class="n">gcp_conn_id</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"google_cloud_default"</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="p">:</span> <span class="nb">str</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="n">poll_sleep</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">10</span><span class="p">,</span> |
| <span class="n">drain_pipeline</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> |
| <span class="n">cancel_timeout</span><span class="p">:</span> <span class="nb">int</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="mi">10</span> <span class="o">*</span> <span class="mi">60</span><span class="p">,</span> |
| <span class="n">wait_until_finished</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> |
| <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span> |
| <span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| <span class="c1"># TODO: Remove one day</span> |
| <span class="n">warnings</span><span class="o">.</span><span class="n">warn</span><span class="p">(</span> |
| <span class="sa">f</span><span class="s2">"The `</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s2">` operator is deprecated, "</span> |
| <span class="s2">"please use `providers.apache.beam.operators.beam.BeamRunPythonPipelineOperator` instead."</span><span class="p">,</span> |
| <span class="ne">DeprecationWarning</span><span class="p">,</span> |
| <span class="n">stacklevel</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> |
| <span class="p">)</span> |
| <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> |
| |
| <span class="bp">self</span><span class="o">.</span><span class="n">py_file</span> <span class="o">=</span> <span class="n">py_file</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">job_name</span> <span class="o">=</span> <span class="n">job_name</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">py_options</span> <span class="o">=</span> <span class="n">py_options</span> <span class="ow">or</span> <span class="p">[]</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">dataflow_default_options</span> <span class="o">=</span> <span class="n">dataflow_default_options</span> <span class="ow">or</span> <span class="p">{}</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">options</span> <span class="o">=</span> <span class="n">options</span> <span class="ow">or</span> <span class="p">{}</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">options</span><span class="o">.</span><span class="n">setdefault</span><span class="p">(</span><span class="s2">"labels"</span><span class="p">,</span> <span class="p">{})</span><span class="o">.</span><span class="n">update</span><span class="p">(</span> |
| <span class="p">{</span><span class="s2">"airflow-version"</span><span class="p">:</span> <span class="s2">"v"</span> <span class="o">+</span> <span class="n">version</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span> <span class="s2">"-"</span><span class="p">)</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"+"</span><span class="p">,</span> <span class="s2">"-"</span><span class="p">)}</span> |
| <span class="p">)</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">py_interpreter</span> <span class="o">=</span> <span class="n">py_interpreter</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">py_requirements</span> <span class="o">=</span> <span class="n">py_requirements</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">py_system_site_packages</span> <span class="o">=</span> <span class="n">py_system_site_packages</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">project_id</span> <span class="o">=</span> <span class="n">project_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">location</span> <span class="o">=</span> <span class="n">location</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">gcp_conn_id</span> <span class="o">=</span> <span class="n">gcp_conn_id</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">delegate_to</span> <span class="o">=</span> <span class="n">delegate_to</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">poll_sleep</span> <span class="o">=</span> <span class="n">poll_sleep</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">drain_pipeline</span> <span class="o">=</span> <span class="n">drain_pipeline</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">cancel_timeout</span> <span class="o">=</span> <span class="n">cancel_timeout</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">wait_until_finished</span> <span class="o">=</span> <span class="n">wait_until_finished</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">job_id</span> <span class="o">=</span> <span class="kc">None</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">beam_hook</span><span class="p">:</span> <span class="n">BeamHook</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">dataflow_hook</span><span class="p">:</span> <span class="n">DataflowHook</span> <span class="o">|</span> <span class="kc">None</span> <span class="o">=</span> <span class="kc">None</span> |
| |
| <div class="viewcode-block" id="DataflowCreatePythonJobOperator.execute"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.DataflowCreatePythonJobOperator.execute">[docs]</a> <span class="k">def</span> <span class="nf">execute</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">context</span><span class="p">:</span> <span class="n">Context</span><span class="p">):</span> |
| <span class="sd">"""Execute the python dataflow job."""</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">beam_hook</span> <span class="o">=</span> <span class="n">BeamHook</span><span class="p">(</span><span class="n">runner</span><span class="o">=</span><span class="n">BeamRunnerType</span><span class="o">.</span><span class="n">DataflowRunner</span><span class="p">)</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">dataflow_hook</span> <span class="o">=</span> <span class="n">DataflowHook</span><span class="p">(</span> |
| <span class="n">gcp_conn_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">gcp_conn_id</span><span class="p">,</span> |
| <span class="n">delegate_to</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">delegate_to</span><span class="p">,</span> |
| <span class="n">poll_sleep</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">poll_sleep</span><span class="p">,</span> |
| <span class="n">impersonation_chain</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> |
| <span class="n">drain_pipeline</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">drain_pipeline</span><span class="p">,</span> |
| <span class="n">cancel_timeout</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">cancel_timeout</span><span class="p">,</span> |
| <span class="n">wait_until_finished</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">wait_until_finished</span><span class="p">,</span> |
| <span class="p">)</span> |
| |
| <span class="n">job_name</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dataflow_hook</span><span class="o">.</span><span class="n">build_dataflow_job_name</span><span class="p">(</span><span class="n">job_name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">job_name</span><span class="p">)</span> |
| <span class="n">pipeline_options</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dataflow_default_options</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> |
| <span class="n">pipeline_options</span><span class="p">[</span><span class="s2">"job_name"</span><span class="p">]</span> <span class="o">=</span> <span class="n">job_name</span> |
| <span class="n">pipeline_options</span><span class="p">[</span><span class="s2">"project"</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">project_id</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">dataflow_hook</span><span class="o">.</span><span class="n">project_id</span> |
| <span class="n">pipeline_options</span><span class="p">[</span><span class="s2">"region"</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">location</span> |
| <span class="n">pipeline_options</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">options</span><span class="p">)</span> |
| |
| <span class="c1"># Convert argument names from lowerCamelCase to snake case.</span> |
| <span class="n">camel_to_snake</span> <span class="o">=</span> <span class="k">lambda</span> <span class="n">name</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">"[A-Z]"</span><span class="p">,</span> <span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="s2">"_"</span> <span class="o">+</span> <span class="n">x</span><span class="o">.</span><span class="n">group</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span><span class="o">.</span><span class="n">lower</span><span class="p">(),</span> <span class="n">name</span><span class="p">)</span> |
| <span class="n">formatted_pipeline_options</span> <span class="o">=</span> <span class="p">{</span><span class="n">camel_to_snake</span><span class="p">(</span><span class="n">key</span><span class="p">):</span> <span class="n">pipeline_options</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">pipeline_options</span><span class="p">}</span> |
| |
| <span class="k">def</span> <span class="nf">set_current_job_id</span><span class="p">(</span><span class="n">job_id</span><span class="p">):</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">job_id</span> <span class="o">=</span> <span class="n">job_id</span> |
| |
| <span class="n">process_line_callback</span> <span class="o">=</span> <span class="n">process_line_and_extract_dataflow_job_id_callback</span><span class="p">(</span> |
| <span class="n">on_new_job_id_callback</span><span class="o">=</span><span class="n">set_current_job_id</span> |
| <span class="p">)</span> |
| |
| <span class="k">with</span> <span class="n">ExitStack</span><span class="p">()</span> <span class="k">as</span> <span class="n">exit_stack</span><span class="p">:</span> |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">py_file</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"gs://"</span><span class="p">):</span> |
| <span class="n">gcs_hook</span> <span class="o">=</span> <span class="n">GCSHook</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">gcp_conn_id</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">delegate_to</span><span class="p">)</span> |
| <span class="n">tmp_gcs_file</span> <span class="o">=</span> <span class="n">exit_stack</span><span class="o">.</span><span class="n">enter_context</span><span class="p">(</span><span class="n">gcs_hook</span><span class="o">.</span><span class="n">provide_file</span><span class="p">(</span><span class="n">object_url</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">py_file</span><span class="p">))</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">py_file</span> <span class="o">=</span> <span class="n">tmp_gcs_file</span><span class="o">.</span><span class="n">name</span> |
| |
| <span class="k">with</span> <span class="bp">self</span><span class="o">.</span><span class="n">dataflow_hook</span><span class="o">.</span><span class="n">provide_authorized_gcloud</span><span class="p">():</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">beam_hook</span><span class="o">.</span><span class="n">start_python_pipeline</span><span class="p">(</span> |
| <span class="n">variables</span><span class="o">=</span><span class="n">formatted_pipeline_options</span><span class="p">,</span> |
| <span class="n">py_file</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">py_file</span><span class="p">,</span> |
| <span class="n">py_options</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">py_options</span><span class="p">,</span> |
| <span class="n">py_interpreter</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">py_interpreter</span><span class="p">,</span> |
| <span class="n">py_requirements</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">py_requirements</span><span class="p">,</span> |
| <span class="n">py_system_site_packages</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">py_system_site_packages</span><span class="p">,</span> |
| <span class="n">process_line_callback</span><span class="o">=</span><span class="n">process_line_callback</span><span class="p">,</span> |
| <span class="p">)</span> |
| |
| <span class="bp">self</span><span class="o">.</span><span class="n">dataflow_hook</span><span class="o">.</span><span class="n">wait_for_done</span><span class="p">(</span> |
| <span class="n">job_name</span><span class="o">=</span><span class="n">job_name</span><span class="p">,</span> |
| <span class="n">location</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">location</span><span class="p">,</span> |
| <span class="n">job_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">job_id</span><span class="p">,</span> |
| <span class="n">multiple_jobs</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> |
| <span class="p">)</span> |
| |
| <span class="k">return</span> <span class="p">{</span><span class="s2">"job_id"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">job_id</span><span class="p">}</span></div> |
| |
| <div class="viewcode-block" id="DataflowCreatePythonJobOperator.on_kill"><a class="viewcode-back" href="../../../../../../_api/airflow/providers/google/cloud/operators/dataflow/index.html#airflow.providers.google.cloud.operators.dataflow.DataflowCreatePythonJobOperator.on_kill">[docs]</a> <span class="k">def</span> <span class="nf">on_kill</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">log</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">"On kill."</span><span class="p">)</span> |
| <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">job_id</span><span class="p">:</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">dataflow_hook</span><span class="o">.</span><span class="n">cancel_job</span><span class="p">(</span> |
| <span class="n">job_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">job_id</span><span class="p">,</span> <span class="n">project_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">project_id</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">dataflow_hook</span><span class="o">.</span><span class="n">project_id</span></div></div> |
| <span class="p">)</span> |
| </pre></div> |
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