Table of Contents

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  1. Preface
  2. Understanding Pipeline Partitioning
  3. Partition Points
  4. Partition Types
  5. Pushdown Optimization
  6. Pushdown Optimization and Transformations
  7. Real-time Processing
  8. Commit Points
  9. Row Error Logging
  10. Workflow Recovery
  11. Stopping and Aborting
  12. Concurrent Workflows
  13. Grid Processing
  14. Load Balancer
  15. Workflow Variables
  16. Parameters and Variables in Sessions
  17. Parameter Files
  18. FastExport
  19. External Loading
  20. FTP
  21. Session Caches
  22. Incremental Aggregation
  23. Session Log Interface
  24. Understanding Buffer Memory
  25. High Precision Data

Advanced Workflow Guide

Advanced Workflow Guide

Working with Repeatable Data

Working with Repeatable Data

When you configure recovery to resume from the last checkpoint, the recovery session must be able to produce the same data in the same order as the original session.
When you validate a session, the Workflow Manager verifies that the transformations are configured to produce repeatable and deterministic data. The session is not valid if you configure recovery to resume from the last checkpoint, but the transformations are not configured for repeatable and deterministic data.
Session data is repeatable when all targets receive repeatable data from the following mapping objects:
  • Source
    . The output data from the source is repeatable between the original run and the recovery run.
  • Transformation
    . The output data from each transformation to the target is repeatable.


Updated June 25, 2020