Archiving DBQL Data - Teradata Database

Teradata Database Administration

Product
Teradata Database
Release Number
15.10
Language
English (United States)
Last Update
2018-10-06
Product Category
Software

If your DBQL table archives are defined as PPI tables, do the following:

1 Archive DBQL data nightly. This is strongly recommended so that the DBQL logs do not take up space in DBC and impact the system.

2 Add a log date to each row. The log date is used as the partitioning column and makes querying the archived data much faster.

3 Change the primary indexes. This is done to avoid table skewing.

You can also separate historical data from junk queries to make your DBQL table archives more concise.