Google Cloud Datastore Operators¶

Firestore in Datastore mode is a NoSQL document database built for automatic scaling, high performance, and ease of application development.

For more information about the service visit Datastore product documentation

Prerequisite Tasks
Export Entities
Import Entities
Allocate Ids
Begin transaction
Commit transaction
Run query
Roll back transaction

Prerequisite Tasks ¶

Export Entities ¶

To export entities from Google Cloud Datastore to Cloud Storage use CloudDatastoreExportEntitiesOperator

airflow/providers/google/cloud/example_dags/example_datastore.pyView Source

export_task = CloudDatastoreExportEntitiesOperator(
    task_id="export_task",
    bucket=BUCKET,
    project_id=GCP_PROJECT_ID,
    overwrite_existing=True,
)

Import Entities ¶

To import entities from Cloud Storage to Google Cloud Datastore use CloudDatastoreImportEntitiesOperator

airflow/providers/google/cloud/example_dags/example_datastore.pyView Source

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,
)

Allocate Ids ¶

To allocate IDs for incomplete keys use CloudDatastoreAllocateIdsOperator

airflow/providers/google/cloud/example_dags/example_datastore.pyView Source

allocate_ids = CloudDatastoreAllocateIdsOperator(
    task_id="allocate_ids", partial_keys=KEYS, project_id=GCP_PROJECT_ID
)

An example of a partial keys required by the operator:

airflow/providers/google/cloud/example_dags/example_datastore.pyView Source

KEYS = [
    {
        "partitionId": {"projectId": GCP_PROJECT_ID, "namespaceId": ""},
        "path": {"kind": "airflow"},
    }
]

Begin transaction ¶

To begin a new transaction use CloudDatastoreBeginTransactionOperator

airflow/providers/google/cloud/example_dags/example_datastore.pyView Source

begin_transaction_commit = CloudDatastoreBeginTransactionOperator(
    task_id="begin_transaction_commit",
    transaction_options=TRANSACTION_OPTIONS,
    project_id=GCP_PROJECT_ID,
)

An example of a transaction options required by the operator:

airflow/providers/google/cloud/example_dags/example_datastore.pyView Source

TRANSACTION_OPTIONS: Dict[str, Any] = {"readWrite": {}}

Commit transaction ¶

To commit a transaction, optionally creating, deleting or modifying some entities use CloudDatastoreCommitOperator

airflow/providers/google/cloud/example_dags/example_datastore.pyView Source

commit_task = CloudDatastoreCommitOperator(
    task_id="commit_task", body=COMMIT_BODY, project_id=GCP_PROJECT_ID
)

An example of a commit information required by the operator:

airflow/providers/google/cloud/example_dags/example_datastore.pyView Source

    COMMIT_BODY = {
        "mode": "TRANSACTIONAL",
        "mutations": [
            {
                "insert": {
                    "key": KEYS[0],
                    "properties": {"string": {"stringValue": "airflow is awesome!"}},
                }
            }
        ],
        "transaction": begin_transaction_commit.output,
    }

Run query ¶

To run a query for entities use CloudDatastoreRunQueryOperator

airflow/providers/google/cloud/example_dags/example_datastore.pyView Source

run_query = CloudDatastoreRunQueryOperator(task_id="run_query", body=QUERY, project_id=GCP_PROJECT_ID)

An example of a query required by the operator:

airflow/providers/google/cloud/example_dags/example_datastore.pyView Source

    QUERY = {
        "partitionId": {"projectId": GCP_PROJECT_ID, "namespaceId": ""},
        "readOptions": {"transaction": begin_transaction_query.output},
        "query": {},
    }

Roll back transaction ¶

To roll back a transaction use CloudDatastoreRollbackOperator

airflow/providers/google/cloud/example_dags/example_datastore.pyView Source

rollback_transaction = CloudDatastoreRollbackOperator(
    task_id="rollback_transaction",
    transaction=begin_transaction_to_rollback.output,
)

References¶

For further information, take a look at: