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Using auto correct load option in target table will degrade the performance of BODS jobs. This prevents a full push-down operation from the

source to the target when the source and target are in different datastores.

But then Auto correct load option is an inavoidable scenario where no duplicated rows are there in the target. and its very useful for data recovery operations.

When we deal with large data volume how do we improve performance?

Using a Data_Transfer transform can improve the performance of a job. Lets see how it works 🙂

Merits:

  • Data_Transfer transform can push down the operations to database server.
  • It enables a full push-down operation even if the source and target are in different data stores.
  • This can be used after query transforms with GROUP BY, DISTINCT or ORDER BY functions which do not allow push down

The idea behind here is to improve the performance is to push down to database level.

Add a Data_Transfer transform before the target to enable a full push-down from the source to the target. For a merge operation there should not be any duplicates in the source data. Here the data_transfer pushes down the data to database and update or insert record into the target table until duplicates are not met in source.

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