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"""
Example Airflow DAG that shows how to use Datastore operators.
This example requires that your project contains Datastore instance.
"""
import os
from typing import Any, Dict
from airflow import models
from airflow.providers.google.cloud.operators.datastore import (
CloudDatastoreAllocateIdsOperator,
CloudDatastoreBeginTransactionOperator,
CloudDatastoreCommitOperator,
CloudDatastoreExportEntitiesOperator,
CloudDatastoreImportEntitiesOperator,
CloudDatastoreRollbackOperator,
CloudDatastoreRunQueryOperator,
)
from airflow.utils import dates
GCP_PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "example-project")
BUCKET = os.environ.get("GCP_DATASTORE_BUCKET", "datastore-system-test")
with models.DAG(
"example_gcp_datastore",
schedule_interval=None, # Override to match your needs
start_date=dates.days_ago(1),
tags=["example"],
) as dag:
# [START how_to_export_task]
export_task = CloudDatastoreExportEntitiesOperator(
task_id="export_task",
bucket=BUCKET,
project_id=GCP_PROJECT_ID,
overwrite_existing=True,
)
# [END how_to_export_task]
# [START how_to_import_task]
import_task = CloudDatastoreImportEntitiesOperator(
task_id="import_task",
bucket="{{ task_instance.xcom_pull('export_task')['response']['outputUrl'].split('/')[2] }}",
file="{{ '/'.join(task_instance.xcom_pull('export_task')['response']['outputUrl'].split('/')[3:]) }}",
project_id=GCP_PROJECT_ID,
)
# [END how_to_import_task]
export_task >> import_task
# [START how_to_keys_def]
KEYS = [
{
"partitionId": {"projectId": GCP_PROJECT_ID, "namespaceId": ""},
"path": {"kind": "airflow"},
}
]
# [END how_to_keys_def]
# [START how_to_transaction_def]
TRANSACTION_OPTIONS: Dict[str, Any] = {"readWrite": {}}
# [END how_to_transaction_def]
with models.DAG(
"example_gcp_datastore_operations",
start_date=dates.days_ago(1),
schedule_interval=None, # Override to match your needs
tags=["example"],
) as dag2:
# [START how_to_allocate_ids]
allocate_ids = CloudDatastoreAllocateIdsOperator(
task_id="allocate_ids", partial_keys=KEYS, project_id=GCP_PROJECT_ID
)
# [END how_to_allocate_ids]
# [START how_to_begin_transaction]
begin_transaction_commit = CloudDatastoreBeginTransactionOperator(
task_id="begin_transaction_commit",
transaction_options=TRANSACTION_OPTIONS,
project_id=GCP_PROJECT_ID,
)
# [END how_to_begin_transaction]
# [START how_to_commit_def]
COMMIT_BODY = {
"mode": "TRANSACTIONAL",
"mutations": [
{
"insert": {
"key": KEYS[0],
"properties": {"string": {"stringValue": "airflow is awesome!"}},
}
}
],
"transaction": begin_transaction_commit.output,
}
# [END how_to_commit_def]
# [START how_to_commit_task]
commit_task = CloudDatastoreCommitOperator(
task_id="commit_task", body=COMMIT_BODY, project_id=GCP_PROJECT_ID
)
# [END how_to_commit_task]
allocate_ids >> begin_transaction_commit
begin_transaction_query = CloudDatastoreBeginTransactionOperator(
task_id="begin_transaction_query",
transaction_options=TRANSACTION_OPTIONS,
project_id=GCP_PROJECT_ID,
)
# [START how_to_query_def]
QUERY = {
"partitionId": {"projectId": GCP_PROJECT_ID, "namespaceId": ""},
"readOptions": {"transaction": begin_transaction_query.output},
"query": {},
}
# [END how_to_query_def]
# [START how_to_run_query]
run_query = CloudDatastoreRunQueryOperator(task_id="run_query", body=QUERY, project_id=GCP_PROJECT_ID)
# [END how_to_run_query]
allocate_ids >> begin_transaction_query
begin_transaction_to_rollback = CloudDatastoreBeginTransactionOperator(
task_id="begin_transaction_to_rollback",
transaction_options=TRANSACTION_OPTIONS,
project_id=GCP_PROJECT_ID,
)
# [START how_to_rollback_transaction]
rollback_transaction = CloudDatastoreRollbackOperator(
task_id="rollback_transaction",
transaction=begin_transaction_to_rollback.output,
)
# [END how_to_rollback_transaction]
# Task dependencies created via `XComArgs`:
# begin_transaction_commit >> commit_task
# begin_transaction_to_rollback >> rollback_transaction
# begin_transaction_query >> run_query