Table of Contents

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  1. Preface
  2. Backing Up and Restoring the Data Vault
  3. Configuring Centera as a Remote Data Vault Store
  4. Configuring Data Archive for a Legacy Source Using Legacy Adapters
  5. Data Archive Seamless Access for PeopleSoft
  6. Data Archive Transaction Restore API
  7. Dropping and Truncating Partitions in Data Archive
  8. High Availability Configuration for the Data Archive and File Archive Service Versions 6.1 to 6.3
  9. 0955-High Availability Configuration for the Data Vault Version 6.4 and Later
  10. How to Create Business Rules to Archive and Purge Transactional Data
  11. How to Uninstall Data Archive 5.1
  12. How to Uninstall Data Archive 5.3
  13. How to Use Scripts to Change Database User Passwords in the ILM Repository
  14. IBM DB2 Database Connectivity and Setup for Data Archive
  15. Installing Data Visualization
  16. Integrating Third-Party Schedulers in ILM Engine
  17. Parallel Processing in Data Archive
  18. Seamless Access Configuration for Siebel Applications
  19. Seamless Access Setup for Oracle E-Business Suite
  20. Seamless Access Setup for Oracle R12 in Data Archive
  21. Using the Data Vault Service JDBC Driver to Connect to the Data Vault
  22. Using Multiple Engines in an ILM Environment
  23. Using PowerExchange ODBC Connections in a Data Archive Retirement Project
  24. Discovering Foreign Key Relationships in Enterprise Data Manager

Data Archive How-To Guide

Data Archive How-To Guide

Overview

Overview

This document describes how to configure a Data Archive entity to drop or truncate partitions from a source table in an Oracle database. You can drop and truncate partitions in Oracle databases that have partitioning enabled. Drop or truncate partitions instead of issuing the DELETE statement against the table. Dropping or truncating table partitions replaces the delete step of the archive or purge process. When you drop or truncate partitions, you remove or disable the delete step for that table. Data Archive quickly removes the data from the source table with little overhead. Dropping or truncating partitions helps improve the Delete from Source performance of the archive and purge process.
When you truncate a partition, Data Archive removes all data from the partition. After you truncate a partition, you can add data to the partition. When you drop a partition, Data Archive permanently removes all data from the partition and removes the partition from the table.