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

Qualifying Names of Tables in Idle Databases

Qualifying Names of Tables in Idle Databases

When the Integration Service generates SQL to push transformations to an active database, the generated SQL references at least one table in the idle database.
To ensure that the Integration Service can identify all tables, you must qualify the names of tables in idle databases for the following cases:
  • The active and idle connections have the same connection properties and are of the same database type, however the database user names and passwords are different.
  • The Source Qualifier transformation contains a source filter or user-defined join.
The Integration Service qualifies the names of tables in idle databases for all other cases.
Qualify the name of a source table in the Owner Name session property for the Source Qualifier transformation. Qualify the name of a lookup table in the Lookup Table Name session property for the Lookup transformation.
Use the following syntax to qualify a table name:
Database Type
Syntax
IBM DB2
<table owner>.<table name>
Microsoft SQL Server
<database name>.<table owner>.<table name>
Netezza
Not supported
Oracle
<table owner>.<table name>
Sybase ASE
<database name>.<table owner>.<table name>
Teradata
<database name>.<table name>
Vertica
<database name>.<schema name>.<table name>
Microsoft Azure SQL Data Warehouse
<database name>.<table owner>.<table name>


Updated June 03, 2019