Parallelization for Aging Runs

You use the transaction DAGRUN in the data aging framework to execute the data aging runs. This moves the data from current partition to the historical partition in the database tables. However, since there can be large amounts of data in the different application tables, the aging run can take a long time. Parallel processing enables the processing of the data that is to be aged simultaneously in different work processes so that aging is completed faster.

Prerequisite for Aging Run

  • The application class of the data aging object has to implement the interface (IF_DAAG_RUNTIME_PARALLEL) for data aging run.
  • The user of the data aging object needs to ensure that the Customizing settings are maintained for the data aging object in DAGOBJ:
    • Logon/Server group
    • Package Size
    • Maximum No. of Tasks

Prerequisite for Undo Run

  • The application class of the data aging object has to implement the interface (IF_DAAG_UNDO_RUNTIME) for undo run.
  • The user of the data aging object needs to ensure that the Customizing settings are maintained for the data aging object in DAGOBJ:

    • Logon/Server group

    • Maximum No. of Tasks

    • Package Sizefor Undo

    • Maximum Number of Days