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35. use SQL query analyzer and SQL profilerUse SQL query AnalyzerUse SQL profilerOptimize T-SQL statementSummaryIn this chapter, we will continue with the description of the pre-stored procedures in Chapter 21st. This chapter describes how to use
The first thing to note is that the content of this article is not how to tune SQL Server query performance (about which you can write a book), but how to leverage the set STATISTICS IO and set STATISTICS in SQL Server query performance tuning Time
The more CPU and IO resources a query requires, the slower the query speed. Therefore, another way to describe the query performance tuning task is, the query command should be rewritten in a way that uses less CPU and IO resources. If the query can
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Set statistics profile on
Set statistics Io on
Set statistics time on
The more CPU and IO resources a query requires, the slower the query speed. Therefore, another way to
The more CPU and IO resources a query requires, the slower the query speed. Therefore, another way to describe the query performance tuning task is, the query command should be rewritten in a way that uses less CPU and IO resources. If the query can
Original: SQL query performance analysisOriginal source: http://blog.csdn.net/dba_huangzj/article/details/7623926The performance of SQL query directly affects the value of the whole database, which must be treated solemnly.SQL Server provides a
? Use SQL Optimization guidance for:– Identify the SQL statements that use the most resources – optimize the SQL statements that use the most resources? Optimize workloads with SQL access guidance
SQL optimization
SQL optimization
In order to optimize the performance of Microsoft SQL Server most effectively, you must be clear about where performance will be maximized in terms of changing circumstances and focus on these aspects. Otherwise, you may spend a lot of time and
SQL statement optimization improves database performance and SQL statement database performance
In systems with unsatisfactory performance, apart from the fact that the application load exceeds the server's actual processing capacity, it is more
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