Guidelines for Using Row Compression With Join Index Columns - Analytics Database - Teradata Vantage

SQL Data Definition Language Detailed Topics

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
2023-07-11
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B035-1184
lifecycle
latest
Product Category
Teradata Vantage™

A column set with a high number of distinct values cannot be row compressed because it rarely (and in the case of a primary key or unique index, never) repeats. Other column sets, notably foreign key and status code columns, are generally highly non-distinct: their values repeat frequently. Row compression capitalizes on the redundancy of frequently repeating column values by storing them once in the fixed part of the index row along with multiple repeated values in the repeated part of the index row. Typically, primary key table column values are specified as the repeating part and foreign key table columns are specified in the fixed part of the index definition.

See Teradata Vantage™ - Database Design, B035-1094 for more information about row compression for join indexes.