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

Pushdown Optimization to Databases Using the ODBC Connection

Pushdown Optimization to Databases Using the ODBC Connection

When you use an ODBC connection and configure pushdown optimization, the PowerCenter Integration Service can push transformation logic to databases that use database-specific ODBC drivers.
Select the ODBC subtype in the ODBC connection to push the transformation logic to the database. You can specify the ODBC subtype in the ODBC connection object definition.
You can configure a specific ODBC subtype for the following ODBC connection types:
  • AWS Redshift
  • Azure DW
  • Greenplum
  • Google Big Query
  • PostgreSQL
  • Snowflake
  • SAP HANA
  • None
Default is None. When you select the ODBC subtype as None, the PowerCenter Integration Service cannot push transformation logic to the database.


Updated November 14, 2019