airflow spanner 源码

airflow spanner 代码

文件路径：/airflow/providers/google/cloud/operators/spanner.py

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"""This module contains Google Spanner operators."""
from __future__ import annotations

from typing import TYPE_CHECKING, Sequence

from airflow.exceptions import AirflowException
from airflow.models import BaseOperator
from airflow.providers.google.cloud.hooks.spanner import SpannerHook
from airflow.providers.google.cloud.links.spanner import SpannerDatabaseLink, SpannerInstanceLink

if TYPE_CHECKING:
    from airflow.utils.context import Context


class SpannerDeployInstanceOperator(BaseOperator):
    """
    Creates a new Cloud Spanner instance, or if an instance with the same instance_id
    exists in the specified project, updates the Cloud Spanner instance.

    .. seealso::
        For more information on how to use this operator, take a look at the guide:
        :ref:`howto/operator:SpannerDeployInstanceOperator`

    :param instance_id: Cloud Spanner instance ID.
    :param configuration_name:  The name of the Cloud Spanner instance configuration
      defining how the instance will be created. Required for
      instances that do not yet exist.
    :param node_count: (Optional) The number of nodes allocated to the Cloud Spanner
      instance.
    :param display_name: (Optional) The display name for the Cloud Spanner  instance in
      the Google Cloud Console. (Must be between 4 and 30 characters.) If this value is not set
      in the constructor, the name is the same as the instance ID.
    :param project_id: Optional, the ID of the project which owns the Cloud Spanner
        Database.  If set to None or missing, the default project_id from the Google Cloud connection is used.
    :param gcp_conn_id: The connection ID used to connect to Google Cloud.
    :param impersonation_chain: Optional service account to impersonate using short-term
        credentials, or chained list of accounts required to get the access_token
        of the last account in the list, which will be impersonated in the request.
        If set as a string, the account must grant the originating account
        the Service Account Token Creator IAM role.
        If set as a sequence, the identities from the list must grant
        Service Account Token Creator IAM role to the directly preceding identity, with first
        account from the list granting this role to the originating account (templated).
    """

    # [START gcp_spanner_deploy_template_fields]
    template_fields: Sequence[str] = (
        'project_id',
        'instance_id',
        'configuration_name',
        'display_name',
        'gcp_conn_id',
        'impersonation_chain',
    )
    # [END gcp_spanner_deploy_template_fields]
    operator_extra_links = (SpannerInstanceLink(),)

    def __init__(
        self,
        *,
        instance_id: str,
        configuration_name: str,
        node_count: int,
        display_name: str,
        project_id: str | None = None,
        gcp_conn_id: str = 'google_cloud_default',
        impersonation_chain: str | Sequence[str] | None = None,
        **kwargs,
    ) -> None:
        self.instance_id = instance_id
        self.project_id = project_id
        self.configuration_name = configuration_name
        self.node_count = node_count
        self.display_name = display_name
        self.gcp_conn_id = gcp_conn_id
        self._validate_inputs()
        self.impersonation_chain = impersonation_chain
        super().__init__(**kwargs)

    def _validate_inputs(self) -> None:
        if self.project_id == '':
            raise AirflowException("The required parameter 'project_id' is empty")
        if not self.instance_id:
            raise AirflowException("The required parameter 'instance_id' is empty or None")

    def execute(self, context: Context) -> None:
        hook = SpannerHook(
            gcp_conn_id=self.gcp_conn_id,
            impersonation_chain=self.impersonation_chain,
        )
        if not hook.get_instance(project_id=self.project_id, instance_id=self.instance_id):
            self.log.info("Creating Cloud Spanner instance '%s'", self.instance_id)
            func = hook.create_instance
        else:
            self.log.info("Updating Cloud Spanner instance '%s'", self.instance_id)
            func = hook.update_instance
        func(
            project_id=self.project_id,
            instance_id=self.instance_id,
            configuration_name=self.configuration_name,
            node_count=self.node_count,
            display_name=self.display_name,
        )
        SpannerInstanceLink.persist(
            context=context,
            task_instance=self,
            instance_id=self.instance_id,
            project_id=self.project_id or hook.project_id,
        )


class SpannerDeleteInstanceOperator(BaseOperator):
    """
    Deletes a Cloud Spanner instance. If an instance does not exist,
    no action is taken and the operator succeeds.

    .. seealso::
        For more information on how to use this operator, take a look at the guide:
        :ref:`howto/operator:SpannerDeleteInstanceOperator`

    :param instance_id: The Cloud Spanner instance ID.
    :param project_id: Optional, the ID of the project that owns the Cloud Spanner
        Database.  If set to None or missing, the default project_id from the Google Cloud connection is used.
    :param gcp_conn_id: The connection ID used to connect to Google Cloud.
    :param impersonation_chain: Optional service account to impersonate using short-term
        credentials, or chained list of accounts required to get the access_token
        of the last account in the list, which will be impersonated in the request.
        If set as a string, the account must grant the originating account
        the Service Account Token Creator IAM role.
        If set as a sequence, the identities from the list must grant
        Service Account Token Creator IAM role to the directly preceding identity, with first
        account from the list granting this role to the originating account (templated).
    """

    # [START gcp_spanner_delete_template_fields]
    template_fields: Sequence[str] = (
        'project_id',
        'instance_id',
        'gcp_conn_id',
        'impersonation_chain',
    )
    # [END gcp_spanner_delete_template_fields]

    def __init__(
        self,
        *,
        instance_id: str,
        project_id: str | None = None,
        gcp_conn_id: str = 'google_cloud_default',
        impersonation_chain: str | Sequence[str] | None = None,
        **kwargs,
    ) -> None:
        self.instance_id = instance_id
        self.project_id = project_id
        self.gcp_conn_id = gcp_conn_id
        self._validate_inputs()
        self.impersonation_chain = impersonation_chain
        super().__init__(**kwargs)

    def _validate_inputs(self) -> None:
        if self.project_id == '':
            raise AirflowException("The required parameter 'project_id' is empty")
        if not self.instance_id:
            raise AirflowException("The required parameter 'instance_id' is empty or None")

    def execute(self, context: Context) -> bool | None:
        hook = SpannerHook(
            gcp_conn_id=self.gcp_conn_id,
            impersonation_chain=self.impersonation_chain,
        )
        if hook.get_instance(project_id=self.project_id, instance_id=self.instance_id):
            return hook.delete_instance(project_id=self.project_id, instance_id=self.instance_id)
        else:
            self.log.info(
                "Instance '%s' does not exist in project '%s'. Aborting delete.",
                self.instance_id,
                self.project_id,
            )
            return True


class SpannerQueryDatabaseInstanceOperator(BaseOperator):
    """
    Executes an arbitrary DML query (INSERT, UPDATE, DELETE).

    .. seealso::
        For more information on how to use this operator, take a look at the guide:
        :ref:`howto/operator:SpannerQueryDatabaseInstanceOperator`

    :param instance_id: The Cloud Spanner instance ID.
    :param database_id: The Cloud Spanner database ID.
    :param query: The query or list of queries to be executed. Can be a path to a SQL
       file.
    :param project_id: Optional, the ID of the project that owns the Cloud Spanner
        Database.  If set to None or missing, the default project_id from the Google Cloud connection is used.
    :param gcp_conn_id: The connection ID used to connect to Google Cloud.
    :param impersonation_chain: Optional service account to impersonate using short-term
        credentials, or chained list of accounts required to get the access_token
        of the last account in the list, which will be impersonated in the request.
        If set as a string, the account must grant the originating account
        the Service Account Token Creator IAM role.
        If set as a sequence, the identities from the list must grant
        Service Account Token Creator IAM role to the directly preceding identity, with first
        account from the list granting this role to the originating account (templated).
    """

    # [START gcp_spanner_query_template_fields]
    template_fields: Sequence[str] = (
        'project_id',
        'instance_id',
        'database_id',
        'query',
        'gcp_conn_id',
        'impersonation_chain',
    )
    template_ext: Sequence[str] = ('.sql',)
    template_fields_renderers = {'query': 'sql'}
    # [END gcp_spanner_query_template_fields]
    operator_extra_links = (SpannerDatabaseLink(),)

    def __init__(
        self,
        *,
        instance_id: str,
        database_id: str,
        query: str | list[str],
        project_id: str | None = None,
        gcp_conn_id: str = 'google_cloud_default',
        impersonation_chain: str | Sequence[str] | None = None,
        **kwargs,
    ) -> None:
        self.instance_id = instance_id
        self.project_id = project_id
        self.database_id = database_id
        self.query = query
        self.gcp_conn_id = gcp_conn_id
        self._validate_inputs()
        self.impersonation_chain = impersonation_chain
        super().__init__(**kwargs)

    def _validate_inputs(self) -> None:
        if self.project_id == '':
            raise AirflowException("The required parameter 'project_id' is empty")
        if not self.instance_id:
            raise AirflowException("The required parameter 'instance_id' is empty or None")
        if not self.database_id:
            raise AirflowException("The required parameter 'database_id' is empty or None")
        if not self.query:
            raise AirflowException("The required parameter 'query' is empty")

    def execute(self, context: Context):
        hook = SpannerHook(
            gcp_conn_id=self.gcp_conn_id,
            impersonation_chain=self.impersonation_chain,
        )
        if isinstance(self.query, str):
            queries = [x.strip() for x in self.query.split(';')]
            self.sanitize_queries(queries)
        else:
            queries = self.query
        self.log.info(
            "Executing DML query(-ies) on projects/%s/instances/%s/databases/%s",
            self.project_id,
            self.instance_id,
            self.database_id,
        )
        self.log.info(queries)
        hook.execute_dml(
            project_id=self.project_id,
            instance_id=self.instance_id,
            database_id=self.database_id,
            queries=queries,
        )
        SpannerDatabaseLink.persist(
            context=context,
            task_instance=self,
            instance_id=self.instance_id,
            database_id=self.database_id,
            project_id=self.project_id or hook.project_id,
        )

    @staticmethod
    def sanitize_queries(queries: list[str]) -> None:
        """
        Drops empty query in queries.

        :param queries: queries
        :rtype: None
        """
        if queries and queries[-1] == '':
            del queries[-1]


class SpannerDeployDatabaseInstanceOperator(BaseOperator):
    """
    Creates a new Cloud Spanner database, or if database exists,
    the operator does nothing.

    .. seealso::
        For more information on how to use this operator, take a look at the guide:
        :ref:`howto/operator:SpannerDeployDatabaseInstanceOperator`

    :param instance_id: The Cloud Spanner instance ID.
    :param database_id: The Cloud Spanner database ID.
    :param ddl_statements: The string list containing DDL for the new database.
    :param project_id: Optional, the ID of the project that owns the Cloud Spanner
        Database.  If set to None or missing, the default project_id from the Google Cloud connection is used.
    :param gcp_conn_id: The connection ID used to connect to Google Cloud.
    :param impersonation_chain: Optional service account to impersonate using short-term
        credentials, or chained list of accounts required to get the access_token
        of the last account in the list, which will be impersonated in the request.
        If set as a string, the account must grant the originating account
        the Service Account Token Creator IAM role.
        If set as a sequence, the identities from the list must grant
        Service Account Token Creator IAM role to the directly preceding identity, with first
        account from the list granting this role to the originating account (templated).
    """

    # [START gcp_spanner_database_deploy_template_fields]
    template_fields: Sequence[str] = (
        'project_id',
        'instance_id',
        'database_id',
        'ddl_statements',
        'gcp_conn_id',
        'impersonation_chain',
    )
    template_ext: Sequence[str] = ('.sql',)
    template_fields_renderers = {'ddl_statements': 'sql'}
    # [END gcp_spanner_database_deploy_template_fields]
    operator_extra_links = (SpannerDatabaseLink(),)

    def __init__(
        self,
        *,
        instance_id: str,
        database_id: str,
        ddl_statements: list[str],
        project_id: str | None = None,
        gcp_conn_id: str = 'google_cloud_default',
        impersonation_chain: str | Sequence[str] | None = None,
        **kwargs,
    ) -> None:
        self.instance_id = instance_id
        self.project_id = project_id
        self.database_id = database_id
        self.ddl_statements = ddl_statements
        self.gcp_conn_id = gcp_conn_id
        self._validate_inputs()
        self.impersonation_chain = impersonation_chain
        super().__init__(**kwargs)

    def _validate_inputs(self) -> None:
        if self.project_id == '':
            raise AirflowException("The required parameter 'project_id' is empty")
        if not self.instance_id:
            raise AirflowException("The required parameter 'instance_id' is empty or None")
        if not self.database_id:
            raise AirflowException("The required parameter 'database_id' is empty or None")

    def execute(self, context: Context) -> bool | None:
        hook = SpannerHook(
            gcp_conn_id=self.gcp_conn_id,
            impersonation_chain=self.impersonation_chain,
        )
        SpannerDatabaseLink.persist(
            context=context,
            task_instance=self,
            instance_id=self.instance_id,
            database_id=self.database_id,
            project_id=self.project_id or hook.project_id,
        )
        if not hook.get_database(
            project_id=self.project_id, instance_id=self.instance_id, database_id=self.database_id
        ):
            self.log.info(
                "Creating Cloud Spanner database '%s' in project '%s' and instance '%s'",
                self.database_id,
                self.project_id,
                self.instance_id,
            )
            return hook.create_database(
                project_id=self.project_id,
                instance_id=self.instance_id,
                database_id=self.database_id,
                ddl_statements=self.ddl_statements,
            )
        else:
            self.log.info(
                "The database '%s' in project '%s' and instance '%s'"
                " already exists. Nothing to do. Exiting.",
                self.database_id,
                self.project_id,
                self.instance_id,
            )
        return True


class SpannerUpdateDatabaseInstanceOperator(BaseOperator):
    """
    Updates a Cloud Spanner database with the specified DDL statement.

    .. seealso::
        For more information on how to use this operator, take a look at the guide:
        :ref:`howto/operator:SpannerUpdateDatabaseInstanceOperator`

    :param instance_id: The Cloud Spanner instance ID.
    :param database_id: The Cloud Spanner database ID.
    :param ddl_statements: The string list containing DDL to apply to the database.
    :param project_id: Optional, the ID of the project that owns the Cloud Spanner
        Database.  If set to None or missing, the default project_id from the Google Cloud connection is used.
    :param operation_id: (Optional) Unique per database operation id that can
           be specified to implement idempotency check.
    :param gcp_conn_id: The connection ID used to connect to Google Cloud.
    :param impersonation_chain: Optional service account to impersonate using short-term
        credentials, or chained list of accounts required to get the access_token
        of the last account in the list, which will be impersonated in the request.
        If set as a string, the account must grant the originating account
        the Service Account Token Creator IAM role.
        If set as a sequence, the identities from the list must grant
        Service Account Token Creator IAM role to the directly preceding identity, with first
        account from the list granting this role to the originating account (templated).
    """

    # [START gcp_spanner_database_update_template_fields]
    template_fields: Sequence[str] = (
        'project_id',
        'instance_id',
        'database_id',
        'ddl_statements',
        'gcp_conn_id',
        'impersonation_chain',
    )
    template_ext: Sequence[str] = ('.sql',)
    template_fields_renderers = {'ddl_statements': 'sql'}
    # [END gcp_spanner_database_update_template_fields]
    operator_extra_links = (SpannerDatabaseLink(),)

    def __init__(
        self,
        *,
        instance_id: str,
        database_id: str,
        ddl_statements: list[str],
        project_id: str | None = None,
        operation_id: str | None = None,
        gcp_conn_id: str = 'google_cloud_default',
        impersonation_chain: str | Sequence[str] | None = None,
        **kwargs,
    ) -> None:
        self.instance_id = instance_id
        self.project_id = project_id
        self.database_id = database_id
        self.ddl_statements = ddl_statements
        self.operation_id = operation_id
        self.gcp_conn_id = gcp_conn_id
        self._validate_inputs()
        self.impersonation_chain = impersonation_chain
        super().__init__(**kwargs)

    def _validate_inputs(self) -> None:
        if self.project_id == '':
            raise AirflowException("The required parameter 'project_id' is empty")
        if not self.instance_id:
            raise AirflowException("The required parameter 'instance_id' is empty or None")
        if not self.database_id:
            raise AirflowException("The required parameter 'database_id' is empty or None")
        if not self.ddl_statements:
            raise AirflowException("The required parameter 'ddl_statements' is empty or None")

    def execute(self, context: Context) -> None:
        hook = SpannerHook(
            gcp_conn_id=self.gcp_conn_id,
            impersonation_chain=self.impersonation_chain,
        )
        if not hook.get_database(
            project_id=self.project_id, instance_id=self.instance_id, database_id=self.database_id
        ):
            raise AirflowException(
                f"The Cloud Spanner database '{self.database_id}' in project '{self.project_id}' "
                f"and instance '{self.instance_id}' is missing. "
                f"Create the database first before you can update it."
            )
        else:
            SpannerDatabaseLink.persist(
                context=context,
                task_instance=self,
                instance_id=self.instance_id,
                database_id=self.database_id,
                project_id=self.project_id or hook.project_id,
            )
            return hook.update_database(
                project_id=self.project_id,
                instance_id=self.instance_id,
                database_id=self.database_id,
                ddl_statements=self.ddl_statements,
                operation_id=self.operation_id,
            )


class SpannerDeleteDatabaseInstanceOperator(BaseOperator):
    """
    Deletes a Cloud Spanner database.

    .. seealso::
        For more information on how to use this operator, take a look at the guide:
        :ref:`howto/operator:SpannerDeleteDatabaseInstanceOperator`

    :param instance_id: Cloud Spanner instance ID.
    :param database_id: Cloud Spanner database ID.
    :param project_id: Optional, the ID of the project that owns the Cloud Spanner
        Database.  If set to None or missing, the default project_id from the Google Cloud connection is used.
    :param gcp_conn_id: The connection ID used to connect to Google Cloud.
    :param impersonation_chain: Optional service account to impersonate using short-term
        credentials, or chained list of accounts required to get the access_token
        of the last account in the list, which will be impersonated in the request.
        If set as a string, the account must grant the originating account
        the Service Account Token Creator IAM role.
        If set as a sequence, the identities from the list must grant
        Service Account Token Creator IAM role to the directly preceding identity, with first
        account from the list granting this role to the originating account (templated).
    """

    # [START gcp_spanner_database_delete_template_fields]
    template_fields: Sequence[str] = (
        'project_id',
        'instance_id',
        'database_id',
        'gcp_conn_id',
        'impersonation_chain',
    )
    # [END gcp_spanner_database_delete_template_fields]

    def __init__(
        self,
        *,
        instance_id: str,
        database_id: str,
        project_id: str | None = None,
        gcp_conn_id: str = 'google_cloud_default',
        impersonation_chain: str | Sequence[str] | None = None,
        **kwargs,
    ) -> None:
        self.instance_id = instance_id
        self.project_id = project_id
        self.database_id = database_id
        self.gcp_conn_id = gcp_conn_id
        self._validate_inputs()
        self.impersonation_chain = impersonation_chain
        super().__init__(**kwargs)

    def _validate_inputs(self) -> None:
        if self.project_id == '':
            raise AirflowException("The required parameter 'project_id' is empty")
        if not self.instance_id:
            raise AirflowException("The required parameter 'instance_id' is empty or None")
        if not self.database_id:
            raise AirflowException("The required parameter 'database_id' is empty or None")

    def execute(self, context: Context) -> bool:
        hook = SpannerHook(
            gcp_conn_id=self.gcp_conn_id,
            impersonation_chain=self.impersonation_chain,
        )
        database = hook.get_database(
            project_id=self.project_id, instance_id=self.instance_id, database_id=self.database_id
        )
        if not database:
            self.log.info(
                "The Cloud Spanner database was missing: "
                "'%s' in project '%s' and instance '%s'. Assuming success.",
                self.database_id,
                self.project_id,
                self.instance_id,
            )
            return True
        else:
            return hook.delete_database(
                project_id=self.project_id, instance_id=self.instance_id, database_id=self.database_id
            )

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