describe_cluster_db_revisions ¶

def describe_cluster_db_revisions(
    self,
    *,
    config_overrides: Optional[RedshiftClientConfig] = None,
    cluster_identifier: Optional["capo_redshift.types.string.String"] = None,
    max_records: Optional[
        "capo_redshift.types.integer_optional.IntegerOptional"
    ] = None,
    marker: Optional["capo_redshift.types.string.String"] = None,
) -> "capo_redshift.types.cluster_db_revisions_message.ClusterDbRevisionsMessage":
    """<p>Returns an array of <code>ClusterDbRevision</code> objects.</p>

    Args:
        cluster_identifier: <p>A unique identifier for a cluster whose <code>ClusterDbRevisions</code> you are requesting. This parameter is case sensitive. All clusters defined for an account are returned by default.</p>
        max_records: <p>The maximum number of response records to return in each call. If the number of remaining response records exceeds the specified MaxRecords value, a value is returned in the <code>marker</code> field of the response. You can retrieve the next set of response records by providing the returned <code>marker</code> value in the <code>marker</code> parameter and retrying the request. </p> <p>Default: 100</p> <p>Constraints: minimum 20, maximum 100.</p>
        marker: <p>An optional parameter that specifies the starting point for returning a set of response records. When the results of a <code>DescribeClusterDbRevisions</code> request exceed the value specified in <code>MaxRecords</code>, Amazon Redshift returns a value in the <code>marker</code> field of the response. You can retrieve the next set of response records by providing the returned <code>marker</code> value in the <code>marker</code> parameter and retrying the request. </p> <p>Constraints: You can specify either the <code>ClusterIdentifier</code> parameter, or the <code>marker</code> parameter, but not both.</p>

    Raises:
        capo_redshift.errors.cluster_not_found_fault.ClusterNotFoundFault: <p>The <code>ClusterIdentifier</code> parameter does not refer to an existing cluster. </p>
        capo_redshift.errors.invalid_cluster_state_fault.InvalidClusterStateFault: <p>The specified cluster is not in the <code>available</code> state. </p>
        capo_redshift.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_redshift.types.describe_cluster_db_revisions_message.DescribeClusterDbRevisionsMessage]",
    ) -> OperationResponse[
        "capo_redshift.types.cluster_db_revisions_message.ClusterDbRevisionsMessage"
    ]:
        import capo_redshift._operations.redshift_service_version20121201.describe_cluster_db_revisions

        output, http_response = (
            capo_redshift._operations.redshift_service_version20121201.describe_cluster_db_revisions.describe_cluster_db_revisions(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DescribeClusterDbRevisions")
    )
    input_: capo_redshift.types.describe_cluster_db_revisions_message.DescribeClusterDbRevisionsMessage = {}
    if cluster_identifier is not None:
        input_["cluster_identifier"] = cluster_identifier
    if max_records is not None:
        input_["max_records"] = max_records
    if marker is not None:
        input_["marker"] = marker

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