16.10 - Archiving DBQL Data - Teradata Database

Teradata Database Administration

Product
Teradata Database
Release Number
16.10
Release Date
April 2018
Content Type
Administration
Publication ID
B035-1093-161K
Language
English (United States)

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.