failover_db_cluster async ¶

async def failover_db_cluster(
    self,
    *,
    config_overrides: Optional[AsyncRDSClientConfig] = None,
    db_cluster_identifier: Optional["capo_rds.types.string.String"] = None,
    target_db_instance_identifier: Optional["capo_rds.types.string.String"] = None,
) -> "capo_rds.types.failover_db_cluster_result.FailoverDBClusterResult":
    """<p>Forces a failover for a DB cluster.</p> <p>For an Aurora DB cluster, failover for a DB cluster promotes one of the Aurora Replicas (read-only instances) in the DB cluster to be the primary DB instance (the cluster writer).</p> <p>For a Multi-AZ DB cluster, after RDS terminates the primary DB instance, the internal monitoring system detects that the primary DB instance is unhealthy and promotes a readable standby (read-only instances) in the DB cluster to be the primary DB instance (the cluster writer). Failover times are typically less than 35 seconds.</p> <p>An Amazon Aurora DB cluster automatically fails over to an Aurora Replica, if one exists, when the primary DB instance fails. A Multi-AZ DB cluster automatically fails over to a readable standby DB instance when the primary DB instance fails.</p> <p>To simulate a failure of a primary instance for testing, you can force a failover. Because each instance in a DB cluster has its own endpoint address, make sure to clean up and re-establish any existing connections that use those endpoint addresses when the failover is complete.</p> <p>For more information on Amazon Aurora DB clusters, see <a href="https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/CHAP_AuroraOverview.html"> What is Amazon Aurora?</a> in the <i>Amazon Aurora User Guide</i>.</p> <p>For more information on Multi-AZ DB clusters, see <a href="https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/multi-az-db-clusters-concepts.html"> Multi-AZ DB cluster deployments</a> in the <i>Amazon RDS User Guide</i>.</p>

    Args:
        db_cluster_identifier: <p>The identifier of the DB cluster to force a failover for. This parameter isn't case-sensitive.</p> <p>Constraints:</p> <ul> <li> <p>Must match the identifier of an existing DB cluster.</p> </li> </ul>
        target_db_instance_identifier: <p>The name of the DB instance to promote to the primary DB instance.</p> <p>Specify the DB instance identifier for an Aurora Replica or a Multi-AZ readable standby in the DB cluster, for example <code>mydbcluster-replica1</code>.</p> <p>This setting isn't supported for RDS for MySQL Multi-AZ DB clusters.</p>

    Raises:
        capo_rds.errors.db_cluster_not_found_fault.DBClusterNotFoundFault: <p> <code>DBClusterIdentifier</code> doesn't refer to an existing DB cluster.</p>
        capo_rds.errors.invalid_db_cluster_state_fault.InvalidDBClusterStateFault: <p>The requested operation can't be performed while the cluster is in this state.</p>
        capo_rds.errors.invalid_db_instance_state_fault.InvalidDBInstanceStateFault: <p>The DB instance isn't in a valid state.</p>
        capo_rds.errors.UnknownServiceError: The service returned an error code this client does not model.

    Examples:
        To perform a failover for a DB cluster
        This example performs a failover for the specified DB cluster to the specified DB instance.

        >>> await client.failover_db_cluster(db_cluster_identifier='myaurorainstance-cluster', target_db_instance_identifier='myaurorareplica')
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_rds.types.failover_db_cluster_message.FailoverDBClusterMessage]",
    ) -> AsyncOperationResponse[
        "capo_rds.types.failover_db_cluster_result.FailoverDBClusterResult"
    ]:
        import capo_rds._operations.amazon_rd_sv19.failover_db_cluster

        (
            output,
            http_response,
        ) = await capo_rds._operations.amazon_rd_sv19.failover_db_cluster.async_failover_db_cluster(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    def _redact_output(
        output: "capo_rds.types.failover_db_cluster_result.FailoverDBClusterResult",
    ) -> dict[str, Any]:
        import capo_rds.types.failover_db_cluster_result

        return capo_rds.types.failover_db_cluster_result.redact_sensitive(output)

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("FailoverDBCluster", redact_output=_redact_output),
    )
    input_: capo_rds.types.failover_db_cluster_message.FailoverDBClusterMessage = {}
    if db_cluster_identifier is not None:
        input_["db_cluster_identifier"] = db_cluster_identifier
    if target_db_instance_identifier is not None:
        input_["target_db_instance_identifier"] = target_db_instance_identifier

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output