Sargable

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In relational databases, a condition (or predicate) in a query is said to be sargable if the DBMS engine can take advantage of an index to speed up the execution of the query. The term is derived from a contraction of Search ARGument ABLE. It was first used by IBM researchers as a contraction of Search ARGument, and has come to mean simply "can be looked up by an index."^1[1][2]

For database query optimizers, sargable is an important property in OLTP workloads because it suggests a good query plan can be obtained by a simple heuristic² matching query to indexes instead of a complex, time-consuming cost-based search,^[1] thus it is often desired to write sargable queries. A query failing to be sargable is known as a non-sargable query and typically has a negative effect on query time, so one of the steps in query optimization is to convert them to be sargable. The effect is similar to searching for a specific term in a book that has no index, beginning at page one each time, instead of jumping to a list of specific pages identified in an index.

The typical situation that will make a SQL query non-sargable is to include in the WHERE clause a function operating on a column value. The WHERE clause is not the only clause where sargability can matter; it can also have an effect on ORDER BY, GROUP BY and HAVING clauses. The SELECT list, on the other hand, can contain non-sargable expressions without adversely affecting the performance.

Some database management systems, for instance PostgreSQL, support functional indices. Conceptually, an index is simply a mapping between a value and one or more locations. With a functional index, the value stored in the index is the output of the function specified when the index is created. This capability expands what is sargable beyond base column expressions.

• Sargable operators: =, >, <, >=, <=, BETWEEN, LIKE, IS [NOT] NULL, IN
• Sargable operators that rarely improve performance: <>, NOT, NOT IN, NOT LIKE

WHERE clauses that are sargable typically have column values on the left of the operator, and scalar values or expressions on the right side of the operator.

Not sargable:

SELECT *
FROM   myTable
WHERE  SQRT(myIntColumn) > 11.7

This is not sargable because myIntColumn is embedded in a function. If any indexes were available on myIntColumn, they could not be used. In addition, SQRT() would be called on every row in myTable.

Sargable version:

SELECT *
FROM   myTable
WHERE  myIntColumn > 11.7 * 11.7

This is sargable because myIntColumn is NOT contained in a function, making any available indexes on myIntColumn potentially usable. Furthermore, the expression is evaluated only once, rather than for each row in the table.

WHERE ... LIKE clauses that are sargable have column values on the left of the operator, and LIKE text strings that do not begin with the % on the right.

Not sargable:

SELECT *
FROM   myTable
WHERE  myNameColumn LIKE '%Wales%' -- Begins with %, not sargable

This is not sargable. It must examine every row to find the column containing the substring 'Wales' in any position.

Sargable version:

SELECT *
FROM   myTable
WHERE  myNameColumn LIKE 'Jimmy%' -- Does not begin with %, sargable

This is sargable. It can use an index to find all the myNameColumn values that start with the substring 'Jimmy'.

• Block Range Index
• Query optimization

^1 Gulutzan and Pelzer, (Chapter 2, Simple "Searches")

^2 ^[3] gives an example of such simple heuristic.

• SQL Shack - How to use sargable expressions in T-SQL queries; performance advantages and examples
• DBA.StackExchange.com - What does the word “SARGable” really mean?

• SQL Performance Tuning by Peter Gulutzan, Trudy Pelzer (Addison Wesley, 2002) ISBN 0-201-79169-2 (Chapter 2, Simple "Searches")
• Microsoft SQL Server 2012 Internals by Kalen Delaney, Connor Cunningham, Jonathan Kehayias, Benjamin Nevarez, Paul S. Randal (O'Reily, 2013) ISBN 978-0-7356-5856-1 (Chapter 11, The Query Optimizer)