About

Data aging is an operation to remove data that is no longer needed.

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 your tables” in Oracle TimesTen In-Memory Database Operations Guide
• “Implementing aging in a cache group” in Oracle In-Memory Database Cache User's Guide.