What To Do About Large Volumes of DBQL Data - Teradata Workload Analyzer

Teradata Workload Analyzer User Guide

Product
Teradata Workload Analyzer
Release Number
15.00
Language
English (United States)
Last Update
2018-09-27
dita:id
B035-2514
lifecycle
previous
Product Category
Teradata Tools and Utilities

What To Do About Large Volumes of DBQL Data

If the DBQL table contains large volumes of data, this may cause very long query execution times or a shortage of spool space while using Teradata WA. The recommended solution to this is to implement DBQL maintenance tables using Teradata Professional Services group guidelines. For information on recommended DBQL maintenance tables, see Database Administration (B035‑1093) for 14.10.