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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

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Union Transformation

Union Transformation

The following table shows the pushdown types for each database to which you can push the Union transformation:
Database
Pushdown Type
Amazon Redshift
Source-side, Full
Greenplum
Source-side, Full
IBM DB2
Source-side, Full
Microsoft SQL Server
Source-side, Full
Netezza
Source-side, Full
Oracle
Source-side, Full
SAP HANA
Source-side, Target-side, Full
Snowflake
Source-side, Full
Sybase ASE
Source-side, Full
Teradata
Source-side, Full
Vertica
Source-side, Full
Microsoft Azure SQL Data Warehouse
Source-side, Full
The Integration Service processes the Union transformation logic when any of the following conditions are true:
  • The Integration Service cannot push all input groups to the source database.
  • The input groups do not originate from the same relational database management system.
  • One of the input pipelines of the Union transformation contains either a distinct union or sorter.
  • The transformation is downstream from a transformation that required a view or sequence generator to be created in a database and the connections are on different databases.