Source code for tests.system.providers.google.cloud.dataproc.example_dataproc_trino

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"""
Example Airflow DAG for DataprocSubmitJobOperator with trino job.
"""

from __future__ import annotations

import os
from datetime import datetime

from google.api_core.retry import Retry

from airflow.models.dag import DAG
from airflow.providers.google.cloud.operators.dataproc import (
    DataprocCreateClusterOperator,
    DataprocDeleteClusterOperator,
    DataprocSubmitJobOperator,
)
from airflow.utils.trigger_rule import TriggerRule
from tests.system.providers.google import DEFAULT_GCP_SYSTEM_TEST_PROJECT_ID

[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID", "default")
[docs]DAG_ID = "dataproc_trino"
[docs]PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT") or DEFAULT_GCP_SYSTEM_TEST_PROJECT_ID
[docs]CLUSTER_NAME_BASE = f"cluster-{DAG_ID}".replace("_", "-")
[docs]CLUSTER_NAME_FULL = CLUSTER_NAME_BASE + f"-{ENV_ID}".replace("_", "-")
[docs]CLUSTER_NAME = CLUSTER_NAME_BASE if len(CLUSTER_NAME_FULL) >= 33 else CLUSTER_NAME_FULL
[docs]REGION = "europe-west1"
# Cluster definition # [START how_to_cloud_dataproc_create_cluster]
[docs]CLUSTER_CONFIG = { "master_config": { "num_instances": 1, "machine_type_uri": "n1-standard-4", "disk_config": {"boot_disk_type": "pd-standard", "boot_disk_size_gb": 32}, }, "worker_config": { "num_instances": 2, "machine_type_uri": "n1-standard-4", "disk_config": {"boot_disk_type": "pd-standard", "boot_disk_size_gb": 32}, }, "software_config": { "optional_components": [ "TRINO", ], "image_version": "2.1", }, }
# [END how_to_cloud_dataproc_create_cluster] # Jobs definitions # [START how_to_cloud_dataproc_trino_config]
[docs]TRINO_JOB = { "reference": {"project_id": PROJECT_ID}, "placement": {"cluster_name": CLUSTER_NAME}, "trino_job": {"query_list": {"queries": ["SHOW CATALOGS"]}}, }
# [END how_to_cloud_dataproc_trino_config] with DAG( DAG_ID, schedule="@once", start_date=datetime(2021, 1, 1), catchup=False, tags=["example", "dataproc", "trino"], ) as dag:
[docs] create_cluster = DataprocCreateClusterOperator( task_id="create_cluster", project_id=PROJECT_ID, cluster_config=CLUSTER_CONFIG, region=REGION, cluster_name=CLUSTER_NAME, retry=Retry(maximum=100.0, initial=10.0, multiplier=1.0), )
trino_task = DataprocSubmitJobOperator( task_id="trino_task", job=TRINO_JOB, region=REGION, project_id=PROJECT_ID ) delete_cluster = DataprocDeleteClusterOperator( task_id="delete_cluster", project_id=PROJECT_ID, cluster_name=CLUSTER_NAME, region=REGION, trigger_rule=TriggerRule.ALL_DONE, ) ( # TEST SETUP create_cluster # TEST BODY >> trino_task # TEST TEARDOWN >> delete_cluster ) 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)

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