26 performance tuning questions and solutions, How to tune SQL queries, How to write better queries, How to write better where clause, How to write better Where Clause –II. Let’s Check?, Interview questions for SQL Server Performance Tuning, LIKE IS SARGable, Looking for SQL Optimization Interview Questions, performance sql server, Performance tips for faster SQL queries, Performance Tuning, Performance Tuning for SQL Server, Query Optimization, Query Performance Tuning, SARgable, SQL Complex Queries, SQL Optimization Interview Questions, sql performance, sql performance and tuning, sql performance explained pdf, sql performance tips, SQL Performance Tuning, sql performance tuning and optimization, sql performance tuning interview questions, sql performance tuning tips, SQL Query Optimizer, SQL Query Tuning or Query Optimization, SQL SERVER Interview questions, SQL server optimization interview questions and answers, sql server performance query, sql server performance slow, SQL Server Performance Tuning, SQL Server Performance Tuning Tips, SQL SERVER Tips, SQL Tuning Overview, Tips for SQL Database Tuning and Performance, Top 10 performance tuning tips for relational databases, what is SARgable?
LIKE IS SARGable, How to write better Where Clause –II. Let’s Check?
Download PDF – [LIKE IS SARGable, How to write better Where Clause – II]
SQL Server has many functions that can be used in your WHERE clause and in the SELECT clause. Now these functions can be user defined or inbuilt. These functions normally provide functionality which would be very difficult to get without these functions.
Now when these functions are used improperly in the WHERE clause these functions can cause major performance issues. Now very few SQL functions are SARGable and most of them are NOT SARGable
Now what is SARgable?
It is Search Argument able. It’s the ability of the query optimizer to use indexes.
Let’s see an example that shows using a function in the WHERE clause can affect performance. Add actual execution plan and statistics IO ON for better understanding.
Connect to AdventureWorks2012 & create a NonClustered Index on [Person].[Person](FirstName). Now we are finding all the persons having name start with Letter “K”. Let’s check two queries to get desired results and their execution plan.
-- SET STATISTICS IO ON /**************** QUERY 1 *********************/ SELECT FirstName FROM [Person].[Person] WHERE LEFT(FirstName,1) = 'K' /**************** QUERY 2 *********************/ SELECT FirstName FROM [Person].[Person] WHERE FirstName LIKE 'K%' --
First let’s check out the messages tab. Both the above queries are working fine and we got 1255 rows in both the case. Now let’s check the logical reads (1 Logical Read = 8KB Pages) for both the queries. First query is reading 66 pages and the second query is reading only 7 pages. It is clearly evident that second query is performing much better than the first one.
Now let’s look out the execution plan for both the queries.
We can clearly check out the Query 1 is having Index Scan means reading all the records of the table from leaf level and it is taking 91% of the cost. On the other hand second query is having nonclustered seek and taking only 9% of the cost. Now if we use second query then our system can become at least 10% more scalable; which is a very good thing.
When we are checking things for performance always try to find out these small things. These can help you queries performance greatly. We are reducing I/O by reading less data pages. So by not using functions in the WHERE clause we can provide big performance gains. We just have to tweak where clause. That should be easy.
That’s all folks; I hope you’ve enjoyed learning about Like IS SARGable, How to write better Where Clause –II and I’ll see you soon with more “Performance Tuning” articles.
Pawan Kumar Khowal
Pingback: SQL Performance and Optimization – How to write optimized queries | Enhance your SQL Server & MSBI Stack Skills