Join Indexes | SQL Fundamentals | Teradata Vantage - Join Indexes - Advanced SQL Engine - Teradata Database

SQL Fundamentals

Product
Advanced SQL Engine
Teradata Database
Release Number
17.05
17.00
Published
June 2020
Language
English (United States)
Last Update
2021-01-24
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dita:id
B035-1141
lifecycle
previous
Product Category
Teradata Vantageâ„¢

Join indexes are not indexes in the usual sense of the word. They are file structures designed to permit queries (join queries in the case of multitable join indexes) to be resolved by accessing the index instead of having to access and join their underlying base tables.

You can use join indexes to:
  • Define a prejoin table on frequently joined columns (with optional aggregation) without denormalizing the database.
  • Create a full or partial replication of a base table with a primary index on a foreign key column table to facilitate joins of very large tables by hashing their rows to the same AMP as the large table.
  • Define a summary table without denormalizing the database.

You can define a join index on one or several tables.

Depending on how the index is defined, join indexes can also be useful for queries where the index structure contains only some of the columns referenced in the statement. This situation is referred to as a partial cover of the query.

Unlike traditional indexes, join indexes do not implicitly store pointers to their associated base table rows. Instead, they are generally used as a quick access method that eliminates the need to access and join the base tables they represent. They substitute for rather than point to base table rows. The only exception to this is the case where an index partially covers a query. If the index is defined using either the ROWID keyword or the UPI or USI of its base table as one of its columns, then it can be used to join with the base table to cover the query.