Timesten - Automatic data aging
Table of Contents
About
Data aging is an operation to remove data that is no longer needed.
Articles Related
Type
There are two general types of data aging:
- Time-based data aging based on timestamp values (removing old data based on some time value)
- Usage-based data aging based on the LRU algorithm (removing data that has been least recently used (LRU))
Examples
- removing yesterday's price list,
- removing profiles and preferences of users who have logged out from the system,
- or removing detailed records that are more than 2 days old.
Documentation / Reference
- “Implementing aging in a cache group” in Oracle In-Memory Database Cache User's Guide.