17.10 - Partitioning Considerations - Advanced SQL Engine - Teradata Database

Teradata Vantageā„¢ - SQL Fundamentals

Product
Advanced SQL Engine
Teradata Database
Release Number
17.10
Release Date
July 2021
Content Type
Programming Reference
Publication ID
B035-1141-171K
Language
English (United States)

The decision to define a single-level or multilevel Partitioned Primary Index (PPI) for a table depends on how its rows are most frequently accessed. PPIs are designed to optimize range queries while also providing efficient primary index join strategies and may be appropriate for other classes of queries. Performance of such queries is improved by accessing only the rows of the qualified partitions.

A PPI increases query efficiency by avoiding full table scans without the overhead and maintenance costs of secondary indexes.

The most important factors for PPIs are accessibility and maximization of partition elimination. In all cases, it is critical for parallel efficiency to define a primary index that distributes the rows of the table fairly evenly across the AMPs.