mnojek commented on a change in pull request #22311: URL: https://github.com/apache/airflow/pull/22311#discussion_r830482091
########## File path: tests/system/providers/google/bigquery/example_bigquery_operations.py ########## @@ -0,0 +1,106 @@ +# +# 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 Google BigQuery service local file upload and external table creation. +""" +import os +from datetime import datetime +from pathlib import Path + +from airflow import models +from airflow.providers.google.cloud.operators.bigquery import ( + BigQueryCreateEmptyDatasetOperator, + BigQueryCreateExternalTableOperator, + BigQueryDeleteDatasetOperator, +) +from airflow.providers.google.cloud.operators.gcs import GCSCreateBucketOperator, GCSDeleteBucketOperator +from airflow.providers.google.cloud.transfers.local_to_gcs import LocalFilesystemToGCSOperator +from airflow.utils.trigger_rule import TriggerRule +from tests.system.utils.watcher import watcher + +ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID") +DAG_ID = "bigquery_operations" + +DATASET_NAME = f"dataset_{DAG_ID}_{ENV_ID}" +DATA_SAMPLE_GCS_BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}" +DATA_SAMPLE_GCS_OBJECT_NAME = "bigquery/us-states/us-states.csv" +CSV_FILE_LOCAL_PATH = str(Path(__file__).parent / "resources" / "us-states.csv") + + +with models.DAG( + DAG_ID, + schedule_interval="@once", + start_date=datetime(2021, 1, 1), + catchup=False, + tags=["example", "bigquery"], +) as dag: + create_bucket = GCSCreateBucketOperator(task_id="create_bucket", bucket_name=DATA_SAMPLE_GCS_BUCKET_NAME) + + create_dataset = BigQueryCreateEmptyDatasetOperator(task_id="create_dataset", dataset_id=DATASET_NAME) + + upload_file = LocalFilesystemToGCSOperator( + task_id="upload_file_to_bucket", + src=CSV_FILE_LOCAL_PATH, + dst=DATA_SAMPLE_GCS_OBJECT_NAME, + bucket=DATA_SAMPLE_GCS_BUCKET_NAME, + ) + + # [START howto_operator_bigquery_create_external_table] + create_external_table = BigQueryCreateExternalTableOperator( + task_id="create_external_table", + destination_project_dataset_table=f"{DATASET_NAME}.external_table", + bucket=DATA_SAMPLE_GCS_BUCKET_NAME, + source_objects=[DATA_SAMPLE_GCS_OBJECT_NAME], + schema_fields=[ + {"name": "emp_name", "type": "STRING", "mode": "REQUIRED"}, + {"name": "salary", "type": "INTEGER", "mode": "NULLABLE"}, + ], + ) + # [END howto_operator_bigquery_create_external_table] + + delete_dataset = BigQueryDeleteDatasetOperator( + task_id="delete_dataset", + dataset_id=DATASET_NAME, + delete_contents=True, + trigger_rule=TriggerRule.ALL_DONE, + ) + + delete_bucket = GCSDeleteBucketOperator( + task_id="delete_bucket", bucket_name=DATA_SAMPLE_GCS_BUCKET_NAME, trigger_rule=TriggerRule.ALL_DONE + ) + + ( + # TEST SETUP + [create_bucket, create_dataset] + # TEST BODY + >> upload_file + >> create_external_table + # TEST TEARDOWN + >> delete_dataset + >> delete_bucket + ) + + list(dag.tasks) >> watcher() Review comment: I support the idea about moving the import for the watcher to local scope. It will be more obvious why it is needed, and we can also add the comment that @potiuk suggested (or similar). And yeah, copy-pasting the same piece of code in many places is not the best, but at least here this "piece" is small and it's better to have it explicitly than doing some magic stuff that will only shadow the real implementation. I will do the changes next week. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
