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

Operators

Operators

The following table summarizes the availability of PowerCenter operators in relational databases. Columns marked with an X indicate that the operator can be pushed to the database by using source-side, target-side, or full pushdown optimization. Columns marked with an S indicate that the operator can be pushed to the database by using source-side pushdown optimization.
Operator
IBM DB2
Microsoft SQL Server
Oracle
PostgreSQL
SAP HANA
Sybase ASE
+ - * /
X
X
X
X
X
X
%
X
X
X
X
X
X
||
S
S
X
X
X
S
= > < >= <= <>
X
X
X
X
X
X
!=
X
X
X
X
X
X
^=
X
X
X
X
X
X
not and or
X
X
X
X
X
X
The following table summarizes the availability of PowerCenter operators in data warehouses. Columns marked with an X indicate that the operator can be pushed to the database by using source-side, target-side, or full pushdown optimization. Columns marked with an S indicate that the operator can be pushed to the database by using source-side pushdown optimization.
Operator
Greenplum
Netezza
Teradata
Vertica
+ - * /
X
X
X
X
%
-
X
X
X
||
X
X
S
X
= > < >= <= <>
X
X
X
X
!=
X
X
X
X
^=
X
X
X
X
not and or
X
X
X
X
The following table summarizes the availability of PowerCenter operators in cloud application databases. Columns marked with an X indicate that the operator can be pushed to the database by using source-side, target-side, or full pushdown optimization. Columns marked with an S indicate that the operator can be pushed to the database by using source-side pushdown optimization.
Operator
Amazon Redshift
Azure DW
Google BigQuery
Snowflake
+ - * /
X1
X
X
X
%
X
X
X
X
||
X
S
X
X
= > < >= <= <>
S
X
X
X
!=
S
X
X
X
^=
S
X
X
X
not and or
S
X
X
X


Updated August 27, 2020