providers/google/docs/operators/cloud/cloud_sql.rst
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.. http://www.apache.org/licenses/LICENSE-2.0
.. Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
.. include:: /operators/_partials/prerequisite_tasks.rst
.. _howto/operator:CloudSQLCreateInstanceDatabaseOperator:
Creates a new database inside a Cloud SQL instance.
For parameter definition, take a look at
:class:~airflow.providers.google.cloud.operators.cloud_sql.CloudSQLCreateInstanceDatabaseOperator.
Using the operator """"""""""""""""""
You can create the operator with or without project id. If project id is missing it will be retrieved from the Google Cloud connection used. Both variants are shown:
.. exampleinclude:: /../../google/tests/system/google/cloud/cloud_sql/example_cloud_sql.py :language: python :dedent: 4 :start-after: [START howto_operator_cloudsql_db_create] :end-before: [END howto_operator_cloudsql_db_create]
Example request body:
.. exampleinclude:: /../../google/tests/system/google/cloud/cloud_sql/example_cloud_sql.py :language: python :start-after: [START howto_operator_cloudsql_db_create_body] :end-before: [END howto_operator_cloudsql_db_create_body]
Templating """"""""""
.. literalinclude:: /../../google/src/airflow/providers/google/cloud/operators/cloud_sql.py :language: python :dedent: 4 :start-after: [START gcp_sql_db_create_template_fields] :end-before: [END gcp_sql_db_create_template_fields]
More information """"""""""""""""
See Google Cloud SQL API documentation for to create a new database inside the instance <https://cloud.google.com/sql/docs/mysql/admin-api/v1beta4/databases/insert>_.
.. _howto/operator:CloudSQLDeleteInstanceDatabaseOperator:
Deletes a database from a Cloud SQL instance.
For parameter definition, take a look at
:class:~airflow.providers.google.cloud.operators.cloud_sql.CloudSQLDeleteInstanceDatabaseOperator.
Using the operator """"""""""""""""""
You can create the operator with or without project id. If project id is missing it will be retrieved from the Google Cloud connection used. Both variants are shown:
.. exampleinclude:: /../../google/tests/system/google/cloud/cloud_sql/example_cloud_sql.py :language: python :dedent: 4 :start-after: [START howto_operator_cloudsql_db_delete] :end-before: [END howto_operator_cloudsql_db_delete]
Templating """"""""""
.. literalinclude:: /../../google/src/airflow/providers/google/cloud/operators/cloud_sql.py :language: python :dedent: 4 :start-after: [START gcp_sql_db_delete_template_fields] :end-before: [END gcp_sql_db_delete_template_fields]
More information """"""""""""""""
See Google Cloud SQL API documentation to delete a database <https://cloud.google.com/sql/docs/mysql/admin-api/v1beta4/databases/delete>_.
.. _howto/operator:CloudSQLPatchInstanceDatabaseOperator:
Updates a resource containing information about a database inside a Cloud SQL instance using patch semantics. See: https://cloud.google.com/sql/docs/mysql/admin-api/how-tos/performance#patch
For parameter definition, take a look at
:class:~airflow.providers.google.cloud.operators.cloud_sql.CloudSQLPatchInstanceDatabaseOperator.
Using the operator """"""""""""""""""
You can create the operator with or without project id. If project id is missing it will be retrieved from the Google Cloud connection used. Both variants are shown:
.. exampleinclude:: /../../google/tests/system/google/cloud/cloud_sql/example_cloud_sql.py :language: python :dedent: 4 :start-after: [START howto_operator_cloudsql_db_patch] :end-before: [END howto_operator_cloudsql_db_patch]
Example request body:
.. exampleinclude:: /../../google/tests/system/google/cloud/cloud_sql/example_cloud_sql.py :language: python :start-after: [START howto_operator_cloudsql_db_patch_body] :end-before: [END howto_operator_cloudsql_db_patch_body]
Templating """"""""""
.. literalinclude:: /../../google/src/airflow/providers/google/cloud/operators/cloud_sql.py :language: python :dedent: 4 :start-after: [START gcp_sql_db_patch_template_fields] :end-before: [END gcp_sql_db_patch_template_fields]
More information """"""""""""""""
See Google Cloud SQL API documentation to update a database <https://cloud.google.com/sql/docs/mysql/admin-api/v1beta4/databases/patch>_.
.. _howto/operator:CloudSQLDeleteInstanceOperator:
Deletes a Cloud SQL instance in Google Cloud.
It is also used for deleting read and failover replicas.
For parameter definition, take a look at
:class:~airflow.providers.google.cloud.operators.cloud_sql.CloudSQLDeleteInstanceOperator.
Using the operator """"""""""""""""""
You can create the operator with or without project id. If project id is missing it will be retrieved from the Google Cloud connection used. Both variants are shown:
.. exampleinclude:: /../../google/tests/system/google/cloud/cloud_sql/example_cloud_sql.py :language: python :dedent: 4 :start-after: [START howto_operator_cloudsql_delete] :end-before: [END howto_operator_cloudsql_delete]
Templating """"""""""
.. literalinclude:: /../../google/src/airflow/providers/google/cloud/operators/cloud_sql.py :language: python :dedent: 4 :start-after: [START gcp_sql_delete_template_fields] :end-before: [END gcp_sql_delete_template_fields]
More information """"""""""""""""
See Google Cloud SQL API documentation to delete a SQL instance <https://cloud.google.com/sql/docs/mysql/admin-api/v1beta4/instances/delete>_.
.. _howto/operator:CloudSQLExportInstanceOperator:
Exports data from a Cloud SQL instance to a Cloud Storage bucket as a SQL dump or CSV file.
.. note:: This operator is idempotent. If executed multiple times with the same export file URI, the export file in GCS will simply be overridden.
For parameter definition take a look at
:class:~airflow.providers.google.cloud.operators.cloud_sql.CloudSQLExportInstanceOperator.
Arguments """""""""
Example body defining the export operation:
.. exampleinclude:: /../../google/tests/system/google/cloud/cloud_sql/example_cloud_sql.py :language: python :start-after: [START howto_operator_cloudsql_export_body] :end-before: [END howto_operator_cloudsql_export_body]
Using the operator """"""""""""""""""
You can create the operator with or without project id. If project id is missing it will be retrieved from the Google Cloud connection used. Both variants are shown:
.. exampleinclude:: /../../google/tests/system/google/cloud/cloud_sql/example_cloud_sql.py :language: python :dedent: 4 :start-after: [START howto_operator_cloudsql_export] :end-before: [END howto_operator_cloudsql_export]
Also for all this action you can use operator in the deferrable mode:
.. exampleinclude:: /../../google/tests/system/google/cloud/cloud_sql/example_cloud_sql.py :language: python :dedent: 4 :start-after: [START howto_operator_cloudsql_export_async] :end-before: [END howto_operator_cloudsql_export_async]
Templating """"""""""
.. literalinclude:: /../../google/src/airflow/providers/google/cloud/operators/cloud_sql.py :language: python :dedent: 4 :start-after: [START gcp_sql_export_template_fields] :end-before: [END gcp_sql_export_template_fields]
More information """"""""""""""""
See Google Cloud SQL API documentation to export data <https://cloud.google.com/sql/docs/mysql/admin-api/v1beta4/instances/export>_.
Troubleshooting """""""""""""""
If you receive an "Unauthorized" error in Google Cloud, make sure that the service account of the Cloud SQL instance is authorized to write to the selected GCS bucket.
It is not the service account configured in Airflow that communicates with GCS, but rather the service account of the particular Cloud SQL instance.
To grant the service account with the appropriate WRITE permissions for the GCS bucket
you can use the :class:~airflow.providers.google.cloud.operators.gcs.GCSBucketCreateAclEntryOperator,
as shown in the example:
.. exampleinclude:: /../../google/tests/system/google/cloud/cloud_sql/example_cloud_sql.py :language: python :dedent: 4 :start-after: [START howto_operator_cloudsql_export_gcs_permissions] :end-before: [END howto_operator_cloudsql_export_gcs_permissions]
.. _howto/operator:CloudSQLImportInstanceOperator:
Imports data into a Cloud SQL instance from a SQL dump or CSV file in Cloud Storage.
CSV import: """""""""""
This operator is NOT idempotent for a CSV import. If the same file is imported multiple times, the imported data will be duplicated in the database. Moreover, if there are any unique constraints the duplicate import may result in an error.
SQL import: """""""""""
This operator is idempotent for a SQL import if it was also exported by Cloud SQL. The exported SQL contains 'DROP TABLE IF EXISTS' statements for all tables to be imported.
If the import file was generated in a different way, idempotence is not guaranteed. It has to be ensured on the SQL file level.
For parameter definition take a look at
:class:~airflow.providers.google.cloud.operators.cloud_sql.CloudSQLImportInstanceOperator.
Arguments """""""""
Example body defining the import operation:
.. exampleinclude:: /../../google/tests/system/google/cloud/cloud_sql/example_cloud_sql.py :language: python :start-after: [START howto_operator_cloudsql_import_body] :end-before: [END howto_operator_cloudsql_import_body]
Using the operator """"""""""""""""""
You can create the operator with or without project id. If project id is missing it will be retrieved from the Google Cloud connection used. Both variants are shown:
.. exampleinclude:: /../../google/tests/system/google/cloud/cloud_sql/example_cloud_sql.py :language: python :dedent: 4 :start-after: [START howto_operator_cloudsql_import] :end-before: [END howto_operator_cloudsql_import]
Templating """"""""""
.. literalinclude:: /../../google/src/airflow/providers/google/cloud/operators/cloud_sql.py :language: python :dedent: 4 :start-after: [START gcp_sql_import_template_fields] :end-before: [END gcp_sql_import_template_fields]
More information """"""""""""""""
See Google Cloud SQL API documentation to import data <https://cloud.google.com/sql/docs/mysql/admin-api/v1beta4/instances/import>_.
Troubleshooting """""""""""""""
If you receive an "Unauthorized" error in Google Cloud, make sure that the service account of the Cloud SQL instance is authorized to read from the selected GCS object.
It is not the service account configured in Airflow that communicates with GCS, but rather the service account of the particular Cloud SQL instance.
To grant the service account with the appropriate READ permissions for the GCS object
you can use the :class:~airflow.providers.google.cloud.operators.gcs.GCSBucketCreateAclEntryOperator,
as shown in the example:
.. exampleinclude:: /../../google/tests/system/google/cloud/cloud_sql/example_cloud_sql.py :language: python :dedent: 4 :start-after: [START howto_operator_cloudsql_import_gcs_permissions] :end-before: [END howto_operator_cloudsql_import_gcs_permissions]
.. _howto/operator:CloudSQLCreateInstanceOperator:
Creates a new Cloud SQL instance in Google Cloud.
It is also used for creating read replicas.
For parameter definition, take a look at
:class:~airflow.providers.google.cloud.operators.cloud_sql.CloudSQLCreateInstanceOperator.
If an instance with the same name exists, no action will be taken and the operator will succeed.
Arguments """""""""
Example body defining the instance with failover replica:
.. exampleinclude:: /../../google/tests/system/google/cloud/cloud_sql/example_cloud_sql.py :language: python :start-after: [START howto_operator_cloudsql_create_body] :end-before: [END howto_operator_cloudsql_create_body]
Using the operator """"""""""""""""""
You can create the operator with or without project id. If project id is missing it will be retrieved from the Google Cloud connection used. Both variants are shown:
.. exampleinclude:: /../../google/tests/system/google/cloud/cloud_sql/example_cloud_sql.py :language: python :dedent: 4 :start-after: [START howto_operator_cloudsql_create] :end-before: [END howto_operator_cloudsql_create]
Templating """"""""""
.. literalinclude:: /../../google/src/airflow/providers/google/cloud/operators/cloud_sql.py :language: python :dedent: 4 :start-after: [START gcp_sql_create_template_fields] :end-before: [END gcp_sql_create_template_fields]
More information """"""""""""""""
See Google Cloud SQL API documentation to create an instance <https://cloud.google.com/sql/docs/mysql/admin-api/v1beta4/instances/insert>_.
.. _howto/operator:CloudSQLInstancePatchOperator:
Updates settings of a Cloud SQL instance in Google Cloud (partial update).
For parameter definition, take a look at
:class:~airflow.providers.google.cloud.operators.cloud_sql.CloudSQLInstancePatchOperator.
This is a partial update, so only values for the settings specified in the body will be set / updated. The rest of the existing instance's configuration will remain unchanged.
Arguments """""""""
Example body defining the instance:
.. exampleinclude:: /../../google/tests/system/google/cloud/cloud_sql/example_cloud_sql.py :language: python :start-after: [START howto_operator_cloudsql_patch_body] :end-before: [END howto_operator_cloudsql_patch_body]
Using the operator """"""""""""""""""
You can create the operator with or without project id. If project id is missing it will be retrieved from the Google Cloud connection used. Both variants are shown:
.. exampleinclude:: /../../google/tests/system/google/cloud/cloud_sql/example_cloud_sql.py :language: python :dedent: 4 :start-after: [START howto_operator_cloudsql_patch] :end-before: [END howto_operator_cloudsql_patch]
Templating """"""""""
.. literalinclude:: /../../google/src/airflow/providers/google/cloud/operators/cloud_sql.py :language: python :dedent: 4 :start-after: [START gcp_sql_patch_template_fields] :end-before: [END gcp_sql_patch_template_fields]
More information """"""""""""""""
See Google Cloud SQL API documentation to patch an instance <https://cloud.google.com/sql/docs/mysql/admin-api/v1beta4/instances/patch>_.
.. _howto/operator:CloudSQLCloneInstanceOperator:
Clones an Cloud SQL instance.
For parameter definition, take a look at
:class:~airflow.providers.google.cloud.operators.cloud_sql.CloudSQLCloneInstanceOperator.
Arguments """""""""
For clone_context object attributes please refer to
CloneContext <https://cloud.google.com/sql/docs/mysql/admin-api/rest/v1beta4/instances/clone#clonecontext>_
Using the operator """"""""""""""""""
You can create the operator with or without project id. If project id is missing it will be retrieved from the Google Cloud connection used. Both variants are shown:
.. exampleinclude:: /../../google/tests/system/google/cloud/cloud_sql/example_cloud_sql.py :language: python :dedent: 4 :start-after: [START howto_operator_cloudsql_clone] :end-before: [END howto_operator_cloudsql_clone]
Templating """"""""""
.. literalinclude:: /../../google/src/airflow/providers/google/cloud/operators/cloud_sql.py :language: python :dedent: 4 :start-after: [START gcp_sql_clone_template_fields] :end-before: [END gcp_sql_clone_template_fields]
More information """"""""""""""""
See Google Cloud SQL API documentation to clone an instance <https://cloud.google.com/sql/docs/mysql/admin-api/rest/v1beta4/instances/clone>_.
.. _howto/operator:CloudSQLExecuteQueryOperator:
Performs DDL or DML SQL queries in Google Cloud SQL instance. The DQL (retrieving data from Google Cloud SQL) is not supported. You might run the SELECT queries, but the results of those queries are discarded.
You can specify various connectivity methods to connect to running instance, starting from public IP plain connection through public IP with SSL or both TCP and socket connection via Cloud SQL Proxy. The proxy is downloaded and started/stopped dynamically as needed by the operator.
There is a gcpcloudsql://* connection type that you should use to define what
kind of connectivity you want the operator to use. The connection is a "meta"
type of connection. It is not used to make an actual connectivity on its own, but it
determines whether Cloud SQL Proxy should be started by CloudSQLDatabaseHook
and what kind of database connection (Postgres or MySQL) should be created
dynamically to connect to Cloud SQL via public IP address or via the proxy.
The CloudSqlDatabaseHook uses
:class:~airflow.providers.google.cloud.hooks.cloud_sql.CloudSqlProxyRunner to manage Cloud SQL
Proxy lifecycle (each task has its own Cloud SQL Proxy)
When you build connection, you should use connection parameters as described in
:class:~airflow.providers.google.cloud.hooks.cloud_sql.CloudSQLDatabaseHook. You can see
examples of connections below for all the possible types of connectivity. Such connection
can be reused between different tasks (instances of CloudSqlQueryOperator). Each
task will get their own proxy started if needed with their own TCP or UNIX socket.
For parameter definition, take a look at
:class:~airflow.providers.google.cloud.operators.cloud_sql.CloudSQLExecuteQueryOperator.
Since query operator can run arbitrary query, it cannot be guaranteed to be idempotent. SQL query designer should design the queries to be idempotent. For example, both Postgres and MySQL support CREATE TABLE IF NOT EXISTS statements that can be used to create tables in an idempotent way.
Arguments """""""""
If you define connection via :envvar:AIRFLOW_CONN_{CONN_ID} URL defined in an environment
variable, make sure the URL components in the URL are URL-encoded.
See examples below for details.
Note that in case of SSL connections you need to have a mechanism to make the certificate/key files available in predefined locations for all the workers on which the operator can run. This can be provided for example by mounting NFS-like volumes in the same path for all the workers.
Example connection definitions for all non-SSL connectivity. Note that all the components of the connection URI should be URL-encoded:
.. exampleinclude:: /../../google/tests/system/google/cloud/cloud_sql/example_cloud_sql_query.py :language: python :start-after: [START howto_operator_cloudsql_query_connections] :end-before: [END howto_operator_cloudsql_query_connections]
Similar connection definition for all SSL-enabled connectivity:
.. exampleinclude:: /../../google/tests/system/google/cloud/cloud_sql/example_cloud_sql_query_ssl.py :language: python :start-after: [START howto_operator_cloudsql_query_connections] :end-before: [END howto_operator_cloudsql_query_connections]
It is also possible to configure a connection via environment variable (note that the connection id from the operator
matches the :envvar:AIRFLOW_CONN_{CONN_ID} postfix uppercase if you are using a standard AIRFLOW notation for
defining connection via environment variables):
.. exampleinclude:: /../../google/tests/system/google/cloud/cloud_sql/example_cloud_sql_query.py :language: python :start-after: [START howto_operator_cloudsql_query_connections_env] :end-before: [END howto_operator_cloudsql_query_connections_env]
.. exampleinclude:: /../../google/tests/system/google/cloud/cloud_sql/example_cloud_sql_query_ssl.py :language: python :start-after: [START howto_operator_cloudsql_query_connections_env] :end-before: [END howto_operator_cloudsql_query_connections_env]
Using the operator """"""""""""""""""
Example operator below is using prepared earlier connection. It might be a connection_id from the Airflow database
or the connection configured via environment variable (note that the connection id from the operator matches the
:envvar:AIRFLOW_CONN_{CONN_ID} postfix uppercase if you are using a standard AIRFLOW notation for defining connection
via environment variables):
.. exampleinclude:: /../../google/tests/system/google/cloud/cloud_sql/example_cloud_sql_query.py :language: python :start-after: [START howto_operator_cloudsql_query_operators] :end-before: [END howto_operator_cloudsql_query_operators]
SSL settings can be also specified on an operator's level. In this case SSL settings configured in the connection will be overridden. One of the ways to do so is specifying paths to each certificate file as shown below. Note that these files will be copied into a temporary location with minimal required permissions for security reasons.
.. exampleinclude:: /../../google/tests/system/google/cloud/cloud_sql/example_cloud_sql_query_ssl.py :language: python :start-after: [START howto_operator_cloudsql_query_operators_ssl] :end-before: [END howto_operator_cloudsql_query_operators_ssl]
You can also save your SSL certificated into a Google Cloud Secret Manager and provide a secret id. The secret format is: .. code-block:: python
{"sslcert": "", "sslkey": "", "sslrootcert": ""}
.. exampleinclude:: /../../google/tests/system/google/cloud/cloud_sql/example_cloud_sql_query_ssl.py :language: python :start-after: [START howto_operator_cloudsql_query_operators_ssl_secret_id] :end-before: [END howto_operator_cloudsql_query_operators_ssl_secret_id]
Templating """"""""""
.. literalinclude:: /../../google/src/airflow/providers/google/cloud/operators/cloud_sql.py :language: python :dedent: 4 :start-after: [START gcp_sql_query_template_fields] :end-before: [END gcp_sql_query_template_fields]
More information """"""""""""""""
See Google Cloud SQL documentation for MySQL <https://cloud.google.com/sql/docs/mysql/sql-proxy>_ and
PostgreSQL <https://cloud.google.com/sql/docs/postgres/sql-proxy>_ related proxies.
For further information, look at:
Google Cloud API - MySQL Documentation <https://cloud.google.com/sql/docs/mysql/admin-api/v1beta4/>__Google Cloud API - PostgreSQL Documentation <https://cloud.google.com/sql/docs/postgres/admin-api/v1beta4/>__Product Documentation <https://cloud.google.com/sql/docs/>__