Measuring System Conditions - Teradata Database - Teradata Vantage NewSQL Engine

Teradata Vantage™ - Database Administration

Teradata Database
Teradata Vantage NewSQL Engine
Release Number
March 2019
English (United States)
Last Update
Product Category
Teradata Vantage

The following table summarizes recommended system conditions to measure.

System Conditions What to Use What to Collect How to Use
Response time Heartbeat queries
  • Response-time samples
  • System-level information
Saved samples can be used to:
  • Track trends
  • Monitor and alert
  • Validate workload management methods
Baseline testing
  • Response-time samples
  • Execution plans
  • Check for differences +/- in response time.
  • Check EXPLAINs if degradation is present.
  • Collect / keep information for comparison when there are changes to the system.
Database Query Log (DBQL) Application response time patterns Track trends:
  • To identify anomalies
  • To identify performance-tuning opportunities
  • For capacity planning
Resource utilization Resource Usage
  • ResNode Macro set
  • SPMA summarized to one row per node
Look for:
  • Peaks
  • Skewing, balance
AMPUsage CPU seconds and I/O for each unique account Use this to quantify heavy users.
DBQL CPU, I/O, spool used, rows returned  
Data growth
  • Script row counts
  • Permspace
Summary row per table once a month Look at trends.
Changes in data access DBQL Summary row per table and the number of accesses once a month Look for increases in access, trends.
Increase in the number of active sessions LogOnOffV, acctg Monthly and summarized number of sessions Look for increases in concurrency and active users.
Increase in system demand DBQL Query counts and response times, plus other query information Look for trends, including growth trends, and measure against goals.
Resource Usage System demand  
AMPUsage Queries with errors or queries that have been canceled