Archiving DBQL Data - Analytics Database - Teradata Vantage

Database Administration

Deployment
VantageCloud
VantageCore
Edition
Enterprise
IntelliFlex
VMware
Product
Analytics Database
Teradata Vantage
Release Number
17.20
Published
June 2022
Language
English (United States)
Last Update
2023-11-03
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lifecycle
latest
Product Category
Teradata Vantageā„¢

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.