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failover_global_replication_group

failover_global_replication_group(
    *,
    config_overrides: Optional[ElastiCacheClientConfig] = None,
    global_replication_group_id: Optional[String] = None,
    primary_region: Optional[String] = None,
    primary_replication_group_id: Optional[String] = None,
) -> FailoverGlobalReplicationGroupResult

Used to failover the primary region to a secondary region. The secondary region will become primary, and all other clusters will become secondary.

Parameters:

  • global_replication_group_id (Optional[String], default: None ) –

    The name of the Global datastore

  • primary_region (Optional[String], default: None ) –

    The Amazon region of the primary cluster of the Global datastore

  • primary_replication_group_id (Optional[String], default: None ) –

    The name of the primary replication group

Raises:

Source code in docs_src/capo_elasticache/_services/elasti_cache.py
def failover_global_replication_group(
    self,
    *,
    config_overrides: Optional[ElastiCacheClientConfig] = None,
    global_replication_group_id: Optional[
        "capo_elasticache.types.string.String"
    ] = None,
    primary_region: Optional["capo_elasticache.types.string.String"] = None,
    primary_replication_group_id: Optional[
        "capo_elasticache.types.string.String"
    ] = None,
) -> "capo_elasticache.types.failover_global_replication_group_result.FailoverGlobalReplicationGroupResult":
    """<p>Used to failover the primary region to a secondary region. The secondary region will become primary, and all other clusters will become secondary.</p>

    Args:
        global_replication_group_id: <p>The name of the Global datastore</p>
        primary_region: <p>The Amazon region of the primary cluster of the Global datastore</p>
        primary_replication_group_id: <p>The name of the primary replication group</p>

    Raises:
        capo_elasticache.errors.global_replication_group_not_found_fault.GlobalReplicationGroupNotFoundFault: <p>The Global datastore does not exist</p>
        capo_elasticache.errors.invalid_global_replication_group_state_fault.InvalidGlobalReplicationGroupStateFault: <p>The Global datastore is not available or in primary-only state.</p>
        capo_elasticache.errors.invalid_parameter_combination_exception.InvalidParameterCombinationException: <p>Two or more incompatible parameters were specified.</p>
        capo_elasticache.errors.invalid_parameter_value_exception.InvalidParameterValueException: <p>The value for a parameter is invalid.</p>
        capo_elasticache.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_elasticache.types.failover_global_replication_group_message.FailoverGlobalReplicationGroupMessage]",
    ) -> OperationResponse[
        "capo_elasticache.types.failover_global_replication_group_result.FailoverGlobalReplicationGroupResult"
    ]:
        import capo_elasticache._operations.amazon_elasti_cache_v9.failover_global_replication_group

        output, http_response = (
            capo_elasticache._operations.amazon_elasti_cache_v9.failover_global_replication_group.failover_global_replication_group(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("FailoverGlobalReplicationGroup")
    )
    input_: capo_elasticache.types.failover_global_replication_group_message.FailoverGlobalReplicationGroupMessage = {}
    if global_replication_group_id is not None:
        input_["global_replication_group_id"] = global_replication_group_id
    if primary_region is not None:
        input_["primary_region"] = primary_region
    if primary_replication_group_id is not None:
        input_["primary_replication_group_id"] = primary_replication_group_id

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output