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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. Appendix A: Data Type Reference
  21. Appendix B: Data Type Reference for Test Data Warehouse
  22. Appendix C: Data Type Reference for Hadoop
  23. Appendix D: Glossary

PostgreSQL

PostgreSQL

The following table describes the operations that you can perform on data types on a PostgreSQL database:
Data Types
Data Movement
Entity Criteria
Data Masking
Data Generation
Data Discovery
Comments
Bigint
Yes
Yes
Yes
Yes
Yes
Bit
Yes
Yes
Yes
Yes
Yes
Char
Yes
Yes
Yes
Yes
Yes
Character
Yes
Yes
Yes
Yes
Yes
Date
Yes
Yes
Yes
Yes
Yes
Double Precision
Yes
Yes
Yes
Yes
Yes
Integer
Yes
Yes
Yes
Yes
Yes
Numeric
Yes
Yes
Yes
Yes
Yes
Real
Yes
Yes
Yes
Yes
Yes
Smallint
Yes l
Yes
Yes
Yes
Yes
Text
Yes
Yes
Yes
Yes
Yes
Time
Yes
Yes
Yes
Yes
Yes
Varchar
Yes
Yes
Yes
Yes
Yes
You cannot perform data masking, data generation, data subset, and data domain discovery operations on the following PostgreSQL data types:
  • Array data types
  • Bytea
  • Binary
  • Hstore
  • Json
  • Longvar
  • UUID
  • XML

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