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"""
Example Airflow DAG for Google BigQuery service.
"""
import os
import time
from urllib.parse import urlparse
from airflow import models
from airflow.operators.bash import BashOperator
from airflow.providers.google.cloud.operators.bigquery import (
BigQueryCreateEmptyDatasetOperator,
BigQueryCreateEmptyTableOperator,
BigQueryCreateExternalTableOperator,
BigQueryDeleteDatasetOperator,
BigQueryDeleteTableOperator,
BigQueryGetDatasetOperator,
BigQueryGetDatasetTablesOperator,
BigQueryUpdateDatasetOperator,
BigQueryUpdateTableOperator,
BigQueryUpdateTableSchemaOperator,
BigQueryUpsertTableOperator,
)
from airflow.utils.dates import days_ago
PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "example-project")
BQ_LOCATION = "europe-north1"
DATASET_NAME = os.environ.get("GCP_BIGQUERY_DATASET_NAME", "test_dataset_operations")
LOCATION_DATASET_NAME = f"{DATASET_NAME}_location"
DATA_SAMPLE_GCS_URL = os.environ.get(
"GCP_BIGQUERY_DATA_GCS_URL",
"gs://INVALID BUCKET NAME/bigquery/us-states/us-states.csv",
)
DATA_SAMPLE_GCS_URL_PARTS = urlparse(DATA_SAMPLE_GCS_URL)
DATA_SAMPLE_GCS_BUCKET_NAME = DATA_SAMPLE_GCS_URL_PARTS.netloc
DATA_SAMPLE_GCS_OBJECT_NAME = DATA_SAMPLE_GCS_URL_PARTS.path[1:]
with models.DAG(
"example_bigquery_operations",
schedule_interval='@once', # Override to match your needs
start_date=days_ago(1),
tags=["example"],
) as dag:
# [START howto_operator_bigquery_create_table]
create_table = BigQueryCreateEmptyTableOperator(
task_id="create_table",
dataset_id=DATASET_NAME,
table_id="test_table",
schema_fields=[
{"name": "emp_name", "type": "STRING", "mode": "REQUIRED"},
{"name": "salary", "type": "INTEGER", "mode": "NULLABLE"},
],
)
# [END howto_operator_bigquery_create_table]
# [START howto_operator_bigquery_update_table_schema]
update_table_schema = BigQueryUpdateTableSchemaOperator(
task_id="update_table_schema",
dataset_id=DATASET_NAME,
table_id="test_table",
schema_fields_updates=[
{"name": "emp_name", "description": "Name of employee"},
{"name": "salary", "description": "Monthly salary in USD"},
],
)
# [END howto_operator_bigquery_update_table_schema]
# [START howto_operator_bigquery_delete_table]
delete_table = BigQueryDeleteTableOperator(
task_id="delete_table",
deletion_dataset_table=f"{PROJECT_ID}.{DATASET_NAME}.test_table",
)
# [END howto_operator_bigquery_delete_table]
# [START howto_operator_bigquery_create_view]
create_view = BigQueryCreateEmptyTableOperator(
task_id="create_view",
dataset_id=DATASET_NAME,
table_id="test_view",
view={
"query": f"SELECT * FROM `{PROJECT_ID}.{DATASET_NAME}.test_table`",
"useLegacySql": False,
},
)
# [END howto_operator_bigquery_create_view]
# [START howto_operator_bigquery_delete_view]
delete_view = BigQueryDeleteTableOperator(
task_id="delete_view", deletion_dataset_table=f"{PROJECT_ID}.{DATASET_NAME}.test_view"
)
# [END howto_operator_bigquery_delete_view]
# [START howto_operator_bigquery_create_materialized_view]
create_materialized_view = BigQueryCreateEmptyTableOperator(
task_id="create_materialized_view",
dataset_id=DATASET_NAME,
table_id="test_materialized_view",
materialized_view={
"query": f"SELECT SUM(salary) AS sum_salary FROM `{PROJECT_ID}.{DATASET_NAME}.test_table`",
"enableRefresh": True,
"refreshIntervalMs": 2000000,
},
)
# [END howto_operator_bigquery_create_materialized_view]
# [START howto_operator_bigquery_delete_materialized_view]
delete_materialized_view = BigQueryDeleteTableOperator(
task_id="delete_materialized_view",
deletion_dataset_table=f"{PROJECT_ID}.{DATASET_NAME}.test_materialized_view",
)
# [END howto_operator_bigquery_delete_materialized_view]
# [START howto_operator_bigquery_create_external_table]
create_external_table = BigQueryCreateExternalTableOperator(
task_id="create_external_table",
table_resource={
"tableReference": {
"projectId": PROJECT_ID,
"datasetId": DATASET_NAME,
"tableId": "external_table",
},
"schema": {
"fields": [
{"name": "name", "type": "STRING"},
{"name": "post_abbr", "type": "STRING"},
]
},
"externalDataConfiguration": {
"sourceFormat": "CSV",
"compression": "NONE",
"csvOptions": {"skipLeadingRows": 1},
"sourceUris": [DATA_SAMPLE_GCS_URL],
},
},
)
# [END howto_operator_bigquery_create_external_table]
# [START howto_operator_bigquery_upsert_table]
upsert_table = BigQueryUpsertTableOperator(
task_id="upsert_table",
dataset_id=DATASET_NAME,
table_resource={
"tableReference": {"tableId": "test_table_id"},
"expirationTime": (int(time.time()) + 300) * 1000,
},
)
# [END howto_operator_bigquery_upsert_table]
# [START howto_operator_bigquery_create_dataset]
create_dataset = BigQueryCreateEmptyDatasetOperator(task_id="create-dataset", dataset_id=DATASET_NAME)
# [END howto_operator_bigquery_create_dataset]
# [START howto_operator_bigquery_get_dataset_tables]
get_dataset_tables = BigQueryGetDatasetTablesOperator(
task_id="get_dataset_tables", dataset_id=DATASET_NAME
)
# [END howto_operator_bigquery_get_dataset_tables]
# [START howto_operator_bigquery_get_dataset]
get_dataset = BigQueryGetDatasetOperator(task_id="get-dataset", dataset_id=DATASET_NAME)
# [END howto_operator_bigquery_get_dataset]
get_dataset_result = BashOperator(
task_id="get_dataset_result",
bash_command="echo \"{{ task_instance.xcom_pull('get-dataset')['id'] }}\"",
)
# [START howto_operator_bigquery_update_table]
update_table = BigQueryUpdateTableOperator(
task_id="update_table",
dataset_id=DATASET_NAME,
table_id="test_table",
fields=[
{"name": "emp_name", "type": "STRING", "mode": "REQUIRED"},
{"name": "salary", "type": "INTEGER", "mode": "NULLABLE"},
],
table_resource={
"friendlyName": "Updated Table",
"description": "Updated Table",
},
)
# [END howto_operator_bigquery_update_table]
# [START howto_operator_bigquery_update_dataset]
update_dataset = BigQueryUpdateDatasetOperator(
task_id="update_dataset",
dataset_id=DATASET_NAME,
dataset_resource={"description": "Updated dataset"},
)
# [END howto_operator_bigquery_update_dataset]
# [START howto_operator_bigquery_delete_dataset]
delete_dataset = BigQueryDeleteDatasetOperator(
task_id="delete_dataset", dataset_id=DATASET_NAME, delete_contents=True
)
# [END howto_operator_bigquery_delete_dataset]
create_dataset >> update_dataset >> get_dataset >> get_dataset_result >> delete_dataset
(
update_dataset
>> create_table
>> create_view
>> create_materialized_view
>> update_table
>> [
get_dataset_tables,
delete_view,
]
>> upsert_table
>> update_table_schema
>> delete_materialized_view
>> delete_table
>> delete_dataset
)
update_dataset >> create_external_table >> delete_dataset
with models.DAG(
"example_bigquery_operations_location",
schedule_interval='@once', # Override to match your needs
start_date=days_ago(1),
tags=["example"],
) as dag_with_location:
create_dataset_with_location = BigQueryCreateEmptyDatasetOperator(
task_id="create_dataset_with_location",
dataset_id=LOCATION_DATASET_NAME,
location=BQ_LOCATION,
)
create_table_with_location = BigQueryCreateEmptyTableOperator(
task_id="create_table_with_location",
dataset_id=LOCATION_DATASET_NAME,
table_id="test_table",
schema_fields=[
{"name": "emp_name", "type": "STRING", "mode": "REQUIRED"},
{"name": "salary", "type": "INTEGER", "mode": "NULLABLE"},
],
)
delete_dataset_with_location = BigQueryDeleteDatasetOperator(
task_id="delete_dataset_with_location",
dataset_id=LOCATION_DATASET_NAME,
delete_contents=True,
)
create_dataset_with_location >> create_table_with_location >> delete_dataset_with_location