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

Teradata Workload Analyzer User Guide

prodname
Teradata Workload Analyzer
vrm_release
15.10
category
User Guide
featnum
B035-2514-035K

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.