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  1. Preface
  2. Data Integration performance tuning overview
  3. Optimizing targets
  4. Optimizing sources
  5. Optimizing mappings
  6. Optimizing mapping tasks
  7. Optimizing advanced clusters
  8. Optimizing system performance

Data Integration Performance Tuning

Data Integration Performance Tuning

Identifying target bottlenecks

Identifying target bottlenecks

Test mapping performance using a flat file target and use thread statistics to identify a target bottleneck.
To identify a target bottleneck, complete the following tasks:
  • Configure a copy of the mapping to write to a flat file target. If the performance increases significantly, you have a target bottleneck. If a mapping already writes to a flat file target, you probably don't have a target bottleneck.
  • Read the thread statistics in the session log. When the mapping task spends more time on the writer thread than the transformation or reader threads, you have a target bottleneck.

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