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. Plans and Workflows
  11. Monitor
  12. Reports
  13. ilmcmd
  14. Data Type Reference
  15. Data Type Reference for Hadoop

Rules and Guidelines for Shuffle Masking

Rules and Guidelines for Shuffle Masking

The results of a shuffle masking rule might differ based on the data, connections, and other plan properties.
Consider the following rules and guidelines when you use shuffle masking in a plan:
  • The Content Management Service cannot create reference tables for JDBC connection types in the following situations:
    • A table has a column of Varchar2 or Varchar data type with a precision greater than 2000.
    • A table has a column of Char data type with a precision greater than 1000.
    When you run the workflow, if the column precision is greater, the workflow resets the precision to 2000 for Varchar2 or Varchar and 1000 for Char data types. This might result in truncation of data.