All examples below rely on the following variables, which can be passed via environment variables.

airflow/contrib/example_dags/example_gcp_bigtable_operators.pyVIEW SOURCE

GCP_PROJECT_ID = getenv('GCP_PROJECT_ID', 'example-project')
CBT_INSTANCE_ID = getenv('CBT_INSTANCE_ID', 'some-instance-id')
CBT_INSTANCE_DISPLAY_NAME = getenv('CBT_INSTANCE_DISPLAY_NAME', 'Human-readable name')
CBT_INSTANCE_TYPE = getenv('CBT_INSTANCE_TYPE', '2')
CBT_INSTANCE_LABELS = getenv('CBT_INSTANCE_LABELS', '{}')
CBT_CLUSTER_ID = getenv('CBT_CLUSTER_ID', 'some-cluster-id')
CBT_CLUSTER_ZONE = getenv('CBT_CLUSTER_ZONE', 'europe-west1-b')
CBT_CLUSTER_NODES = getenv('CBT_CLUSTER_NODES', '3')
CBT_CLUSTER_NODES_UPDATED = getenv('CBT_CLUSTER_NODES_UPDATED', '5')
CBT_CLUSTER_STORAGE_TYPE = getenv('CBT_CLUSTER_STORAGE_TYPE', '2')
CBT_TABLE_ID = getenv('CBT_TABLE_ID', 'some-table-id')
CBT_POKE_INTERVAL = getenv('CBT_POKE_INTERVAL', '60')

BigtableInstanceCreateOperator

Use the BigtableInstanceCreateOperator to create a Google Cloud Bigtable instance.

If the Cloud Bigtable instance with the given ID exists, the operator does not compare its configuration and immediately succeeds. No changes are made to the existing instance.

Using the operator

You can create the operator with or without project id. If project id is missing it will be retrieved from the GCP connection used. Both variants are shown:

airflow/contrib/example_dags/example_gcp_bigtable_operators.pyVIEW SOURCE

create_instance_task = BigtableInstanceCreateOperator(
    project_id=GCP_PROJECT_ID,
    instance_id=CBT_INSTANCE_ID,
    main_cluster_id=CBT_CLUSTER_ID,
    main_cluster_zone=CBT_CLUSTER_ZONE,
    instance_display_name=CBT_INSTANCE_DISPLAY_NAME,
    instance_type=int(CBT_INSTANCE_TYPE),
    instance_labels=json.loads(CBT_INSTANCE_LABELS),
    cluster_nodes=int(CBT_CLUSTER_NODES),
    cluster_storage_type=int(CBT_CLUSTER_STORAGE_TYPE),
    task_id='create_instance_task',
)
create_instance_task2 = BigtableInstanceCreateOperator(
    instance_id=CBT_INSTANCE_ID,
    main_cluster_id=CBT_CLUSTER_ID,
    main_cluster_zone=CBT_CLUSTER_ZONE,
    instance_display_name=CBT_INSTANCE_DISPLAY_NAME,
    instance_type=int(CBT_INSTANCE_TYPE),
    instance_labels=json.loads(CBT_INSTANCE_LABELS),
    cluster_nodes=int(CBT_CLUSTER_NODES),
    cluster_storage_type=int(CBT_CLUSTER_STORAGE_TYPE),
    task_id='create_instance_task2',
)
create_instance_task >> create_instance_task2

BigtableInstanceDeleteOperator

Use the BigtableInstanceDeleteOperator to delete a Google Cloud Bigtable instance.

Using the operator

You can create the operator with or without project id. If project id is missing it will be retrieved from the GCP connection used. Both variants are shown:

airflow/contrib/example_dags/example_gcp_bigtable_operators.pyVIEW SOURCE

delete_instance_task = BigtableInstanceDeleteOperator(
    project_id=GCP_PROJECT_ID,
    instance_id=CBT_INSTANCE_ID,
    task_id='delete_instance_task',
)
delete_instance_task2 = BigtableInstanceDeleteOperator(
    instance_id=CBT_INSTANCE_ID,
    task_id='delete_instance_task2',
)

BigtableClusterUpdateOperator

Use the BigtableClusterUpdateOperator to modify number of nodes in a Cloud Bigtable cluster.

Using the operator

You can create the operator with or without project id. If project id is missing it will be retrieved from the GCP connection used. Both variants are shown:

airflow/contrib/example_dags/example_gcp_bigtable_operators.pyVIEW SOURCE

cluster_update_task = BigtableClusterUpdateOperator(
    project_id=GCP_PROJECT_ID,
    instance_id=CBT_INSTANCE_ID,
    cluster_id=CBT_CLUSTER_ID,
    nodes=int(CBT_CLUSTER_NODES_UPDATED),
    task_id='update_cluster_task',
)
cluster_update_task2 = BigtableClusterUpdateOperator(
    instance_id=CBT_INSTANCE_ID,
    cluster_id=CBT_CLUSTER_ID,
    nodes=int(CBT_CLUSTER_NODES_UPDATED),
    task_id='update_cluster_task2',
)
cluster_update_task >> cluster_update_task2

BigtableTableCreateOperator

Creates a table in a Cloud Bigtable instance.

If the table with given ID exists in the Cloud Bigtable instance, the operator compares the Column Families. If the Column Families are identical operator succeeds. Otherwise, the operator fails with the appropriate error message.

Using the operator

You can create the operator with or without project id. If project id is missing it will be retrieved from the GCP connection used. Both variants are shown:

airflow/contrib/example_dags/example_gcp_bigtable_operators.pyVIEW SOURCE

create_table_task = BigtableTableCreateOperator(
    project_id=GCP_PROJECT_ID,
    instance_id=CBT_INSTANCE_ID,
    table_id=CBT_TABLE_ID,
    task_id='create_table',
)
create_table_task2 = BigtableTableCreateOperator(
    instance_id=CBT_INSTANCE_ID,
    table_id=CBT_TABLE_ID,
    task_id='create_table_task2',
)
create_table_task >> create_table_task2

Advanced

When creating a table, you can specify the optional initial_split_keys and column_families. Please refer to the Python Client for Google Cloud Bigtable documentation for Table and for Column Families.

BigtableTableDeleteOperator

Use the BigtableTableDeleteOperator to delete a table in Google Cloud Bigtable.

Using the operator

You can create the operator with or without project id. If project id is missing it will be retrieved from the GCP connection used. Both variants are shown:

airflow/contrib/example_dags/example_gcp_bigtable_operators.pyVIEW SOURCE

delete_table_task = BigtableTableDeleteOperator(
    project_id=GCP_PROJECT_ID,
    instance_id=CBT_INSTANCE_ID,
    table_id=CBT_TABLE_ID,
    task_id='delete_table_task',
)
delete_table_task2 = BigtableTableDeleteOperator(
    instance_id=CBT_INSTANCE_ID,
    table_id=CBT_TABLE_ID,
    task_id='delete_table_task2',
)

BigtableTableWaitForReplicationSensor

You can create the operator with or without project id. If project id is missing it will be retrieved from the GCP connection used. Both variants are shown:

Use the BigtableTableWaitForReplicationSensor to wait for the table to replicate fully.

The same arguments apply to this sensor as the BigtableTableCreateOperator.

Note: If the table or the Cloud Bigtable instance does not exist, this sensor waits for the table until timeout hits and does not raise any exception.

Using the operator

airflow/contrib/example_dags/example_gcp_bigtable_operators.pyVIEW SOURCE

wait_for_table_replication_task = BigtableTableWaitForReplicationSensor(
    project_id=GCP_PROJECT_ID,
    instance_id=CBT_INSTANCE_ID,
    table_id=CBT_TABLE_ID,
    poke_interval=int(CBT_POKE_INTERVAL),
    timeout=180,
    task_id='wait_for_table_replication_task',
)
wait_for_table_replication_task2 = BigtableTableWaitForReplicationSensor(
    instance_id=CBT_INSTANCE_ID,
    table_id=CBT_TABLE_ID,
    poke_interval=int(CBT_POKE_INTERVAL),
    timeout=180,
    task_id='wait_for_table_replication_task2',
)