Source code for tests.system.providers.google.cloud.dataproc.example_dataproc_batch
# Licensed to the Apache Software Foundation (ASF) under one# or more contributor license agreements. See the NOTICE file# distributed with this work for additional information# regarding copyright ownership. The ASF licenses this file# to you under the Apache License, Version 2.0 (the# "License"); you may not use this file except in compliance# with the License. You may obtain a copy of the License at## http://www.apache.org/licenses/LICENSE-2.0## Unless required by applicable law or agreed to in writing,# software distributed under the License is distributed on an# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY# KIND, either express or implied. See the License for the# specific language governing permissions and limitations# under the License."""Example Airflow DAG for Dataproc batch operators."""from__future__importannotationsimportosfromdatetimeimportdatetimefromgoogle.api_core.retry_asyncimportAsyncRetryfromairflow.models.dagimportDAGfromairflow.providers.google.cloud.operators.dataprocimport(DataprocCancelOperationOperator,DataprocCreateBatchOperator,DataprocDeleteBatchOperator,DataprocGetBatchOperator,DataprocListBatchesOperator,)fromairflow.providers.google.cloud.sensors.dataprocimportDataprocBatchSensorfromairflow.utils.trigger_ruleimportTriggerRule
create_batch_2=DataprocCreateBatchOperator(task_id="create_batch_2",project_id=PROJECT_ID,region=REGION,batch=BATCH_CONFIG,batch_id=BATCH_ID_2,result_retry=AsyncRetry(maximum=10.0,initial=10.0,multiplier=1.0),)create_batch_3=DataprocCreateBatchOperator(task_id="create_batch_3",project_id=PROJECT_ID,region=REGION,batch=BATCH_CONFIG,batch_id=BATCH_ID_3,asynchronous=True,)# [END how_to_cloud_dataproc_create_batch_operator]# [START how_to_cloud_dataproc_batch_async_sensor]batch_async_sensor=DataprocBatchSensor(task_id="batch_async_sensor",region=REGION,project_id=PROJECT_ID,batch_id=BATCH_ID_3,poke_interval=10,)# [END how_to_cloud_dataproc_batch_async_sensor]# [START how_to_cloud_dataproc_get_batch_operator]get_batch=DataprocGetBatchOperator(task_id="get_batch",project_id=PROJECT_ID,region=REGION,batch_id=BATCH_ID)get_batch_2=DataprocGetBatchOperator(task_id="get_batch_2",project_id=PROJECT_ID,region=REGION,batch_id=BATCH_ID_2)# [END how_to_cloud_dataproc_get_batch_operator]# [START how_to_cloud_dataproc_list_batches_operator]list_batches=DataprocListBatchesOperator(task_id="list_batches",project_id=PROJECT_ID,region=REGION,)# [END how_to_cloud_dataproc_list_batches_operator]create_batch_4=DataprocCreateBatchOperator(task_id="create_batch_4",project_id=PROJECT_ID,region=REGION,batch=BATCH_CONFIG,batch_id=BATCH_ID_4,asynchronous=True,)# [START how_to_cloud_dataproc_cancel_operation_operator]cancel_operation=DataprocCancelOperationOperator(task_id="cancel_operation",project_id=PROJECT_ID,region=REGION,operation_name="{{ task_instance.xcom_pull('create_batch_4') }}",)# [END how_to_cloud_dataproc_cancel_operation_operator]# [START how_to_cloud_dataproc_delete_batch_operator]delete_batch=DataprocDeleteBatchOperator(task_id="delete_batch",project_id=PROJECT_ID,region=REGION,batch_id=BATCH_ID)delete_batch_2=DataprocDeleteBatchOperator(task_id="delete_batch_2",project_id=PROJECT_ID,region=REGION,batch_id=BATCH_ID_2)delete_batch_3=DataprocDeleteBatchOperator(task_id="delete_batch_3",project_id=PROJECT_ID,region=REGION,batch_id=BATCH_ID_3)delete_batch_4=DataprocDeleteBatchOperator(task_id="delete_batch_4",project_id=PROJECT_ID,region=REGION,batch_id=BATCH_ID_4)# [END how_to_cloud_dataproc_delete_batch_operator]delete_batch.trigger_rule=TriggerRule.ALL_DONEdelete_batch_2.trigger_rule=TriggerRule.ALL_DONEdelete_batch_3.trigger_rule=TriggerRule.ALL_DONEdelete_batch_4.trigger_rule=TriggerRule.ALL_DONE(# TEST SETUP[create_batch,create_batch_2,create_batch_3]# TEST BODY>>batch_async_sensor>>[get_batch,get_batch_2,list_batches]>>create_batch_4>>cancel_operation# TEST TEARDOWN>>[delete_batch,delete_batch_2,delete_batch_3,delete_batch_4])fromtests.system.utils.watcherimportwatcher# This test needs watcher in order to properly mark success/failure# when "teardown" task with trigger rule is part of the DAGlist(dag.tasks)>>watcher()fromtests.system.utilsimportget_test_run# noqa: E402# Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)