Source code for tests.system.providers.google.cloud.dataproc_metastore.example_dataproc_metastore_hive_partition_sensor

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"""
Example Airflow DAG that show how to check Hive partitions existence
using Dataproc Metastore Sensor.

Note that Metastore service must be configured to use gRPC endpoints,
"""
from __future__ import annotations

import datetime
import os

from airflow import models
from airflow.providers.google.cloud.sensors.dataproc_metastore import MetastoreHivePartitionSensor

[docs]DAG_ID = "dataproc_metastore_hive_partition_sensor"
[docs]PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "")
[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")

[docs]SERVICE_ID = f"{DAG_ID}-service-{ENV_ID}".replace("_", "-")
[docs]REGION = "europe-west1"
[docs]TABLE_NAME = "test_table"
[docs]PARTITION_1 = "column1=value1"
[docs]PARTITION_2 = "column2=value2/column3=value3"


with models.DAG(
    DAG_ID,
    start_date=datetime.datetime(2021, 1, 1),
    schedule="@once",
    catchup=False,
    tags=["example", "dataproc", "metastore"],
) as dag:

    # [START how_to_cloud_dataproc_metastore_hive_partition_sensor]
[docs]    sensor = MetastoreHivePartitionSensor(
        task_id="hive_partition_sensor",
        service_id=SERVICE_ID,
        region=REGION,
        table=TABLE_NAME,
        partitions=[PARTITION_1, PARTITION_2],
    )
    # [END how_to_cloud_dataproc_metastore_hive_partition_sensor]

    from tests.system.utils.watcher import watcher

    # This test needs watcher in order to properly mark success/failure
    # when "teardown" task with trigger rule is part of the DAG
    list(dag.tasks) >> watcher()


from tests.system.utils import get_test_run  # noqa: E402

# Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)
[docs]test_run = get_test_run(dag)