Data Type Considerations | Database Design | Teradata Vantage - Data Type Considerations - 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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zqc1472244571611
lifecycle
lifecycle
Product Category
Teradata Vantageā„¢

Different column data types occupy different amounts of disk space. This topic examines the various Teradata data types and indicates their absolute sizes.

The information presented here is for sizing purposes only. For specific usage information about the various data types supported by Teradata, see Teradata Vantageā„¢ - Data Types and Literals, B035-1143.

Data Types And Hashing

The data types for the primary index column set also have an important effect on how rows hash. For example, a primary index value typed DECIMAL with one precision generally hashes to a different AMP than the same primary index value typed DECIMAL with a different precision.

Data Type Size Differences For Packed64 and Aligned Row Format Architectures

Several data types have different sizes depending on whether the rows of a system are formatted using a packed64 or an aligned row format. The row size increases for aligned row formats are not all due to increased data type sizes. Byte alignment issues also play a significant role in this increase. Furthermore, neither study examined the effects of the increased data block header size introduced by WAL on storage (see Byte Alignment for more information).

The following table lists the predefined data types that have different disk storage sizes for packed64 and aligned row formats. If a data type is not listed in the table, then its allocated size is identical for packed64 format and aligned row format systems.

Data Type Packed64 Format Size (bytes) Aligned Row      Format Size          (bytes) Allocated         Aligned      Format Size          (bytes)
TIME               6              4                8
TIMESTAMP             10              4              12
INTERVAL DAY TO SECOND             10              4              12
INTERVAL MINUTE TO SECOND               6              4                8
INTERVAL SECOND               6              4                8