Google Cloud Bigtable Operators¶
Prerequisite Tasks¶
To use these operators, you must do a few things:
Select or create a Cloud Platform project using Cloud Console.
Enable billing for your project, as described in Google Cloud documentation.
Enable API, as described in Cloud Console documentation.
Install API libraries via pip.
pip install 'apache-airflow[gcp]'
Detailed information is available Installation
Environment variables¶
All examples below rely on the following variables, which can be passed via environment variables.
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:
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:
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:
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:
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:
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¶
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',
)