Row Compression - Teradata Vantage - Analytics Database

Database Design

Deployment
VantageCloud
VantageCore
Edition
VMware
Enterprise
IntelliFlex
Product
Analytics Database
Teradata Vantage
Release Number
17.20
Published
June 2022
ft:locale
en-US
ft:lastEdition
2025-11-21
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lifecycle
lifecycle
Product Category
Teradata Vantageā„¢

This section summarizes the benefits, best uses, and restrictions of row compression in Vantage.

Benefits of Row Compression

  • Reduces storage space by storing a repeating column value set only once, while any non-repeating column values that belong to that set are stored as logical extensions of the base repeating set
  • Assigned by default for hash indexes
  • Like multivalue compression, no decompression is necessary to access row-compressed data values
  • Has no effect on table header size

Best Use of Row Compression

  • Hash and join indexes that have numerous column values that repeat across rows.

Restrictions and Limitations of Row Compression

  • Only applies to hash and join indexes
  • Must be explicitly specified in the CREATE JOIN INDEX request for a join index at the time the index is created

    For more information, see Teradata Vantageā„¢ - SQL Data Definition Language Syntax and Examples, B035-1144.