describe_table_statistics ¶

def describe_table_statistics(
    self,
    replication_task_arn: "capo_database_migration_service.types.string.String",
    *,
    config_overrides: Optional[DatabaseMigrationServiceClientConfig] = None,
    max_records: Optional[
        "capo_database_migration_service.types.integer_optional.IntegerOptional"
    ] = None,
    marker: Optional["capo_database_migration_service.types.string.String"] = None,
    filters: Optional[
        "capo_database_migration_service.types.filter_list.FilterList"
    ] = None,
) -> "capo_database_migration_service.types.describe_table_statistics_response.DescribeTableStatisticsResponse":
    """<p>Returns table statistics on the database migration task, including table name, rows inserted, rows updated, and rows deleted.</p> <p>Note that the "last updated" column the DMS console only indicates the time that DMS last updated the table statistics record for a table. It does not indicate the time of the last update to the table.</p>

    Args:
        replication_task_arn: <p>The Amazon Resource Name (ARN) of the replication task.</p>
        max_records: <p> The maximum number of records to include in the response. If more records exist than the specified <code>MaxRecords</code> value, a pagination token called a marker is included in the response so that the remaining results can be retrieved. </p> <p>Default: 100</p> <p>Constraints: Minimum 20, maximum 500.</p>
        marker: <p> An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by <code>MaxRecords</code>. </p>
        filters: <p>Filters applied to table statistics.</p> <p>Valid filter names: schema-name | table-name | table-state</p> <p>A combination of filters creates an AND condition where each record matches all specified filters.</p>

    Raises:
        capo_database_migration_service.errors.access_denied_fault.AccessDeniedFault: <p>DMS was denied access to the endpoint. Check that the role is correctly configured.</p>
        capo_database_migration_service.errors.invalid_resource_state_fault.InvalidResourceStateFault: <p>The resource is in a state that prevents it from being used for database migration.</p>
        capo_database_migration_service.errors.resource_not_found_fault.ResourceNotFoundFault: <p>The resource could not be found.</p>
        capo_database_migration_service.errors.UnknownServiceError: The service returned an error code this client does not model.

    Examples:
        Describe table statistics
        Returns table statistics on the database migration task, including table name, rows inserted, rows updated, and rows deleted.

        >>> client.describe_table_statistics(replication_task_arn='', max_records=123, marker='')
    """

    def _handler(
        req: "OperationRequest[capo_database_migration_service.types.describe_table_statistics_message.DescribeTableStatisticsMessage]",
    ) -> OperationResponse[
        "capo_database_migration_service.types.describe_table_statistics_response.DescribeTableStatisticsResponse"
    ]:
        import capo_database_migration_service._operations.amazon_dm_sv20160101.describe_table_statistics

        output, http_response = (
            capo_database_migration_service._operations.amazon_dm_sv20160101.describe_table_statistics.describe_table_statistics(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DescribeTableStatistics")
    )
    input_: capo_database_migration_service.types.describe_table_statistics_message.DescribeTableStatisticsMessage = {
        "replication_task_arn": replication_task_arn
    }
    if max_records is not None:
        input_["max_records"] = max_records
    if marker is not None:
        input_["marker"] = marker
    if filters is not None:
        input_["filters"] = filters

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