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batch_describe_data_table_value

batch_describe_data_table_value(
    instance_id: InstanceId,
    data_table_id: DataTableId,
    values: DataTableValueIdentifierList,
    *,
    config_overrides: Optional[ConnectClientConfig] = None,
) -> BatchDescribeDataTableValueResponse

Retrieves multiple values from a data table without evaluating expressions. Returns the raw stored values along with metadata such as lock versions and modification timestamps. "Describe" is a deprecated term but is allowed to maintain consistency with existing operations.

Parameters:

  • instance_id (InstanceId) –

    The unique identifier for the Amazon Connect instance.

  • data_table_id (DataTableId) –

    The unique identifier for the data table. Must also accept the table ARN with or without a version alias.

  • values (DataTableValueIdentifierList) –

    A list of value identifiers to retrieve, each specifying primary values and attribute names.

Raises:

Source code in docs_src/capo_connect/_services/connect.py
def batch_describe_data_table_value(
    self,
    instance_id: "capo_connect.types.instance_id.InstanceId",
    data_table_id: "capo_connect.types.data_table_id.DataTableId",
    values: "capo_connect.types.data_table_value_identifier_list.DataTableValueIdentifierList",
    *,
    config_overrides: Optional[ConnectClientConfig] = None,
) -> "capo_connect.types.batch_describe_data_table_value_response.BatchDescribeDataTableValueResponse":
    """<p>Retrieves multiple values from a data table without evaluating expressions. Returns the raw stored values along with metadata such as lock versions and modification timestamps. "Describe" is a deprecated term but is allowed to maintain consistency with existing operations.</p>

    Args:
        instance_id: <p>The unique identifier for the Amazon Connect instance.</p>
        data_table_id: <p>The unique identifier for the data table. Must also accept the table ARN with or without a version alias.</p>
        values: <p>A list of value identifiers to retrieve, each specifying primary values and attribute names.</p>

    Raises:
        capo_connect.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient permissions to perform this action.</p>
        capo_connect.errors.internal_service_exception.InternalServiceException: <p>Request processing failed because of an error or failure with the service.</p>
        capo_connect.errors.invalid_parameter_exception.InvalidParameterException: <p>One or more of the specified parameters are not valid.</p>
        capo_connect.errors.invalid_request_exception.InvalidRequestException: <p>The request is not valid.</p>
        capo_connect.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource was not found.</p>
        capo_connect.errors.throttling_exception.ThrottlingException: <p>The throttling limit has been exceeded.</p>
        capo_connect.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_connect.types.batch_describe_data_table_value_request.BatchDescribeDataTableValueRequest]",
    ) -> OperationResponse[
        "capo_connect.types.batch_describe_data_table_value_response.BatchDescribeDataTableValueResponse"
    ]:
        import capo_connect._operations.amazon_connect_service.batch_describe_data_table_value

        output, http_response = (
            capo_connect._operations.amazon_connect_service.batch_describe_data_table_value.batch_describe_data_table_value(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("BatchDescribeDataTableValue")
    )
    input_: capo_connect.types.batch_describe_data_table_value_request.BatchDescribeDataTableValueRequest = {
        "instance_id": instance_id,
        "data_table_id": data_table_id,
        "values": values,
    }

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