Memory Consuming Features | Teradata Vantage - Memory-Consuming Features - 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„¢
Certain features may require more memory in order to show their optimal performance benefit. Of particular mention are:
  • Array INSERT
  • Compression
  • Cylinder read
  • Geospatial data type
  • Global and Persistent Data (GLOP)
  • Hash joins and product joins
  • Join index
  • Large objects (LOBs)
  • Row and column partitioning
  • Table functions
  • Stored procedures
  • User-defined functions (UDFs)
  • XML data type
  • 1 MB response buffer
  • 1 MB data blocks
  • Larger than 1 MB plan cache

Performance gains from implementing these features may be countered by their impact on memory usage. In turn, you may experience more segment swaps and incur additional swap physical disk I/O. To counter this, you can lower the FSG cache percent to ensure that 135 MB per AMP is allocated in OS memory.

Lowering the FSG cache percent may cause fewer cache hits on table data and instead cause a different type of additional physical disk I/O. In general, additional I/O on table data is a lesser performance issue than swapping I/O, but it can still have an impact on performance.