The Where Clause


The previous chapter described the structure of indexes and explained the cause of poor index performance. In the next step we learn how to spot and avoid these problems in SQL statements. We start by looking at the where clause.

The where clause defines the search condition of an SQL statement, and it thus falls into the core functional domain of an index: finding data quickly. Although the where clause has a huge impact on performance, it is often phrased carelessly so that the database has to scan a large part of the index. The result: a poorly written where clause is the first ingredient of a slow query.

This chapter explains how different operators affect index usage and how to make sure that an index is usable for as many queries as possible. The last section shows common anti-patterns and presents alternatives that deliver better performance.

About the Author

As an author, trainer, and coach Markus Winand specializes in helping developers cope with SQL performance issues. He also published the book SQL Performance Explained and tweets his best performance tips via @SQLPerfTips.http://winand.at/

Recent Questions at Ask.Use-The-Index-Luke.com

0
votes
1
answer
69
views
0
votes
0
answers
321
views

Fanout in R-Tree

Mar 27 at 08:07 jamie 1
tree indexing
0
votes
1
answer
104
views

Think About It

Mar 26 at 12:54 Markus Winand ♦♦ 511
reflection