Source code for tests.system.providers.qubole.example_qubole_sensors
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withDAG(dag_id=DAG_ID,schedule=None,start_date=START_DATE,tags=["example"],)asdag:dag.doc_md=textwrap.dedent(""" This is only an example DAG to highlight usage of QuboleSensor in various scenarios, some of these tasks may or may not work based on your QDS account setup. Run a shell command from Qubole Analyze against your Airflow cluster with following to trigger it manually `airflow dags trigger example_qubole_sensor`. *Note: Make sure that connection `qubole_default` is properly set before running this example.* """)# [START howto_sensor_qubole_run_file_sensor]
[docs]check_s3_file=QuboleFileSensor(task_id="check_s3_file",poke_interval=60,timeout=600,data={"files":["s3://paid-qubole/HadoopAPIExamples/jars/hadoop-0.20.1-dev-streaming.jar","s3://paid-qubole/HadoopAPITests/data/{{ ds.split('-')[2] }}.tsv",]# will check for availability of all the files in array},)
# [END howto_sensor_qubole_run_file_sensor]# [START howto_sensor_qubole_run_partition_sensor]check_hive_partition=QubolePartitionSensor(task_id="check_hive_partition",poke_interval=10,timeout=60,data={"schema":"default","table":"my_partitioned_table","columns":[{"column":"month","values":["{{ ds.split('-')[1] }}"]},{"column":"day","values":["{{ ds.split('-')[2] }}","{{ yesterday_ds.split('-')[2] }}"]},],# will check for partitions like [month=12/day=12,month=12/day=13]},)# [END howto_sensor_qubole_run_partition_sensor]check_s3_file>>check_hive_partitionfromtests.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)