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put_auto_termination_policy

put_auto_termination_policy(
    *,
    config_overrides: Optional[EMRClientConfig] = None,
    cluster_id: Optional[ClusterId] = None,
    auto_termination_policy: Optional[AutoTerminationPolicy] = None,
) -> PutAutoTerminationPolicyOutput

Auto-termination is supported in Amazon EMR releases 5.30.0 and 6.1.0 and later. For more information, see Using an auto-termination policy.

Creates or updates an auto-termination policy for an Amazon EMR cluster. An auto-termination policy defines the amount of idle time in seconds after which a cluster automatically terminates. For alternative cluster termination options, see Control cluster termination.

Parameters:

  • cluster_id (Optional[ClusterId], default: None ) –

    Specifies the ID of the Amazon EMR cluster to which the auto-termination policy will be attached.

  • auto_termination_policy (Optional[AutoTerminationPolicy], default: None ) –

    Specifies the auto-termination policy to attach to the cluster.

Raises:

Source code in docs_src/capo_emr/_services/emr.py
def put_auto_termination_policy(
    self,
    *,
    config_overrides: Optional[EMRClientConfig] = None,
    cluster_id: Optional["capo_emr.types.cluster_id.ClusterId"] = None,
    auto_termination_policy: Optional[
        "capo_emr.types.auto_termination_policy.AutoTerminationPolicy"
    ] = None,
) -> "capo_emr.types.put_auto_termination_policy_output.PutAutoTerminationPolicyOutput":
    """<note> <p>Auto-termination is supported in Amazon EMR releases 5.30.0 and 6.1.0 and later. For more information, see <a href="https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-auto-termination-policy.html">Using an auto-termination policy</a>.</p> </note> <p>Creates or updates an auto-termination policy for an Amazon EMR cluster. An auto-termination policy defines the amount of idle time in seconds after which a cluster automatically terminates. For alternative cluster termination options, see <a href="https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-plan-termination.html">Control cluster termination</a>.</p>

    Args:
        cluster_id: <p>Specifies the ID of the Amazon EMR cluster to which the auto-termination policy will be attached.</p>
        auto_termination_policy: <p>Specifies the auto-termination policy to attach to the cluster.</p>

    Raises:
        capo_emr.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_emr.types.put_auto_termination_policy_input.PutAutoTerminationPolicyInput]",
    ) -> OperationResponse[
        "capo_emr.types.put_auto_termination_policy_output.PutAutoTerminationPolicyOutput"
    ]:
        import capo_emr._operations.elastic_map_reduce.put_auto_termination_policy

        output, http_response = (
            capo_emr._operations.elastic_map_reduce.put_auto_termination_policy.put_auto_termination_policy(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("PutAutoTerminationPolicy")
    )
    input_: capo_emr.types.put_auto_termination_policy_input.PutAutoTerminationPolicyInput = {}
    if cluster_id is not None:
        input_["cluster_id"] = cluster_id
    if auto_termination_policy is not None:
        input_["auto_termination_policy"] = auto_termination_policy

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