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  • Data Archive 6.4.4
  • All Products

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

User Guide

User Guide

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Segmentation Policy Steps

Segmentation Policy Steps

Before you run a segmentation policy, configure the policy steps. You can skip any step except the Segment Data step. You can also pause the policy run after each step.
If you choose to skip a step in the policy, Data Archive might also select related steps in the policy to skip. For example, if you skip the Create Audit Snapshot - Before step, Data Archive also selects
Skip
 for the Create Audit Snapshot - After and Compare Audit Snapshots - Summary steps. If Data Archive selects
Skip
 for a job step, you can clear the check box to run the step if required.
The following table describes the segmentation policy steps:
Step
Description
Create audit snapshot - before
Creates a snapshot of the state of the objects, such as indexes and triggers, that belong to the segmentation group before the ILM Engine moves any data.
Create optimization indexes
Creates optimization indexes to improve smart partitioning performance. Indexes are used during the segment data step to generate the selection statements that create segments. This step is applicable only if you have defined optimization indexes in the Enterprise Data Manager.
Preprocess business rules
Uses interim tables to preprocess the business rules you applied to the segmentation group. This step is visible only if you selected to use interim table processing in the Enterprise Data Manager.
Get table row count per segment
Estimates the size of the segments that will be created when you run a segmentation policy.
Default is skip.
Allocate datafiles to mount points
Estimates the size of tables in the segmentation group based on row count and determines how many datafiles to allocate to a particular tablespace.
Default is skip.
Generate explain plan
Creates a plan for how the smart partitioning process will run the SQL statements that create segments. This plan can help determine how efficiently the statements will run.
Default is skip.
Create tablespaces
Creates the tablespaces for the new segments.
Segment data
Required. Moves the data into the new tablespaces.
Drop optimization indexes
Drops any optimization indexes you created in the Enterprise Data Manager.
Create audit snapshot - after
Creates a snapshot of the state of the objects, such as indexes and triggers, that belong to the segmentation group after the ILM Engine moves the data into the segments.
Compare audit snapshots - summary
Compares and summarizes the before and after audit snapshots.
Compile invalid objects
Compiles any not valid objects, such as stored procedures and views, that remain after the ILM Engine creates segments.
Enable access policy
Enables the access policies you applied to the segmentation group.
Collect segmentation group statistics
Collects database statistics, such as row count and size, for the segmentation group.
Clean up after segmentation
Cleans up temporary objects, such as tables and indexes, that are no longer valid after segment creation.
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