Table of Contents

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  1. Preface
  2. Introduction to Test Data Management
  3. Test Data Manager
  4. Projects
  5. Policies
  6. Data Discovery
  7. Creating a Data Subset
  8. Performing a Data Masking Operation
  9. Data Masking Techniques and Parameters
  10. Data Generation
  11. Data Generation Techniques and Parameters
  12. Working with Test Data Warehouse
  13. Analyzing Test Data with Data Coverage
  14. Plans and Workflows
  15. Monitor
  16. Reports
  17. ilmcmd
  18. tdwcmd
  19. tdwquery
  20. Data Type Reference
  21. Data Type Reference for Test Data Warehouse
  22. Data Type Reference for Hadoop
  23. Glossary

PostgreSQL

PostgreSQL

You can use PostgreSQL as a source when the target is the test data warehouse, if the test data warehouse is on a PostgreSQL database.
The following table describes the tasks that you can perform on PostgreSQL data types when the target is the test data warehouse and the test data warehouse is on a PostgreSQL database:
Data Types
Test Data Warehouse
Comments
Bigint
Yes
Bit
Yes
Char
Yes
Character
Yes
Date
Yes
Double Precision
Yes
Integer
Yes
Numeric
Yes
Real
Yes
Smallint
Yes
Text
Yes
Time
Yes
Varchar
Yes
When the target is the test data warehouse you cannot perform data masking, data generation, and data subset operations on the following PostgreSQL data types:
  • Array data types
  • Bytea
  • Binary
  • Hstore
  • Json
  • Longvar
  • UUID
  • XML