Starting with TDM 9.5 onwards, the performance of table-level tasks has been improved by processing table partitions in parallel, significantly reducing execution time for large tables.
Each table partition is handled as a separate LUI by the task execution batch process for extract or extract & load processes.
The following fields have been added to TableLevelDefinitions to support table concurrency:
This table stores optional input parameters for the partition flows. Add a record to this MTable and populate the param_name and value fields for each partition flow's input parameter.
Example:

This table contains default flows for the following interface types:
PostgreSQL
Oracle
Copy the relevant record from this MTable into the TableLevelDefinitions MTable to use the default partitioning flows for these databases.
Starting with TDM 9.5 onwards, the performance of table-level tasks has been improved by processing table partitions in parallel, significantly reducing execution time for large tables.
Each table partition is handled as a separate LUI by the task execution batch process for extract or extract & load processes.
The following fields have been added to TableLevelDefinitions to support table concurrency:
This table stores optional input parameters for the partition flows. Add a record to this MTable and populate the param_name and value fields for each partition flow's input parameter.
Example:

This table contains default flows for the following interface types:
PostgreSQL
Oracle
Copy the relevant record from this MTable into the TableLevelDefinitions MTable to use the default partitioning flows for these databases.