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list_db_instances_for_cluster

list_db_instances_for_cluster(
    db_cluster_id: DbClusterId,
    *,
    config_overrides: Optional[TimestreamInfluxDBClientConfig] = None,
    next_token: Optional[NextToken] = None,
    max_results: Optional[MaxResults] = None,
) -> ListDbInstancesForClusterOutput

Returns a list of Timestream for InfluxDB clusters.

Parameters:

  • db_cluster_id (DbClusterId) –

    Service-generated unique identifier of the DB cluster.

  • next_token (Optional[NextToken], default: None ) –

    The pagination token. To resume pagination, provide the nextToken value as an argument of a subsequent API invocation.

  • max_results (Optional[MaxResults], default: None ) –

    The maximum number of items to return in the output. If the total number of items available is more than the value specified, a nextToken is provided in the output. To resume pagination, provide the nextToken value as an argument of a subsequent API invocation.

Raises:

Source code in docs_src/capo_timestream_influxdb/_services/timestream_influx_db.py
def list_db_instances_for_cluster(
    self,
    db_cluster_id: "capo_timestream_influxdb.types.db_cluster_id.DbClusterId",
    *,
    config_overrides: Optional[TimestreamInfluxDBClientConfig] = None,
    next_token: Optional[
        "capo_timestream_influxdb.types.next_token.NextToken"
    ] = None,
    max_results: Optional[
        "capo_timestream_influxdb.types.max_results.MaxResults"
    ] = None,
) -> "capo_timestream_influxdb.types.list_db_instances_for_cluster_output.ListDbInstancesForClusterOutput":
    """<p>Returns a list of Timestream for InfluxDB clusters.</p>

    Args:
        db_cluster_id: <p>Service-generated unique identifier of the DB cluster.</p>
        next_token: <p>The pagination token. To resume pagination, provide the nextToken value as an argument of a subsequent API invocation.</p>
        max_results: <p>The maximum number of items to return in the output. If the total number of items available is more than the value specified, a nextToken is provided in the output. To resume pagination, provide the nextToken value as an argument of a subsequent API invocation.</p>

    Raises:
        capo_timestream_influxdb.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
        capo_timestream_influxdb.errors.internal_server_exception.InternalServerException: <p>The request processing has failed because of an unknown error, exception or failure.</p>
        capo_timestream_influxdb.errors.resource_not_found_exception.ResourceNotFoundException: <p>The requested resource was not found or does not exist.</p>
        capo_timestream_influxdb.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling.</p>
        capo_timestream_influxdb.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by Timestream for InfluxDB.</p>
        capo_timestream_influxdb.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_timestream_influxdb.types.list_db_instances_for_cluster_input.ListDbInstancesForClusterInput]",
    ) -> OperationResponse[
        "capo_timestream_influxdb.types.list_db_instances_for_cluster_output.ListDbInstancesForClusterOutput"
    ]:
        import capo_timestream_influxdb._operations.amazon_timestream_influx_db.list_db_instances_for_cluster

        output, http_response = (
            capo_timestream_influxdb._operations.amazon_timestream_influx_db.list_db_instances_for_cluster.list_db_instances_for_cluster(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListDbInstancesForCluster")
    )
    input_: capo_timestream_influxdb.types.list_db_instances_for_cluster_input.ListDbInstancesForClusterInput = {
        "db_cluster_id": db_cluster_id
    }
    if next_token is not None:
        input_["next_token"] = next_token
    if max_results is not None:
        input_["max_results"] = max_results

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