Table of Contents

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  1. Preface
  2. Introduction
  3. Accessing Data Archive
  4. Working with Data Archive
  5. Scheduling Jobs
  6. Viewing the Dashboard
  7. Creating Data Archive Projects
  8. Salesforce Archiving
  9. SAP Application Retirement
  10. Creating Retirement Archive Projects
  11. Integrated Validation for Archive and Retirement Projects
  12. Retention Management
  13. External Attachments
  14. Data Archive Restore
  15. Data Discovery Portal
  16. Data Visualization
  17. Oracle E-Business Suite Retirement Reports
  18. JD Edwards Enterprise Retirement Reports
  19. Oracle PeopleSoft Applications Retirement Reports
  20. Smart Partitioning
  21. Smart Partitioning Data Classifications
  22. Smart Partitioning Segmentation Policies
  23. Smart Partitioning Access Policies
  24. Language Settings
  25. Appendix A: Data Vault Datatype Conversion
  26. Appendix B: Special Characters in Data Vault
  27. Appendix C: SAP Application Retirement Supported HR Clusters
  28. Appendix D: Glossary

Record Selection for Retention Policy Changes

Record Selection for Retention Policy Changes

When you change the retention policy assigned to records in an entity, you must select the records you want to update. Select the records to update when you modify the assigned retention policy in Data Discovery.
To select records to update, you must specify the conditions to which the new retention policy applies. Enter each condition in the format "<Column><Operator><Value>." The
Is Null
and
Not Null
operators do not use the <Value> field.
For example, to select insurance records in an entity that have messages, you might enter the following condition:
MSG_ID Not Null
You can specify multiple conditions and group them logically. For example, you want to apply a retention policy to records that meet the following criteria:
JOB_ID > 0 AND (CLAIM_TYPE = 1 OR CLAIM_NO > 1000 OR COMPANY_ID = 1007)
Enter the following conditions:

    JOB_ID Greater Than 0 AND

    ( CLAIM_TYPE Equals 1 OR

    CLAIM_NO Greater Than 1000 OR

    COMPANY_ID Equals 1007 )

Use the following guidelines when you specify the conditions for record selection:
Enclose string and varchar values in single quotes.
For example, to select insurance records with policy numbers that begin with "AU-," enter the following condition:
POLICY_NO Starts With 'AU-'
Specify case-sensitivity for string comparisons.
By default, Data Archive performs case-sensitive string comparisons. To ignore case, enable the
Case Insensitive
option.
You can specify that a condition is within a range of values.
Use the
In
operator to specify that a condition is within a range of comma-separated values, for example,
CLAIM_CLASS IN BD1, BD2
. Do not enclose the list of values in parentheses.
You can specify multiple conditions.
Use the
Add Row
button to add additional conditions.
You can group conditions.
If you specify multiple conditions, you can group them with multiple levels of nesting, for example, "(A AND (B OR C)) OR D." Use the
Add Parenthesis
and
Remove Parenthesis
buttons to add and remove opening and closing parentheses. The number of opening parentheses must equal the number of closing parentheses.

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