Tags: mic results requests width Pool FFFFFF user CTE ColorFirst, the SQL execution process 1, the user connects the database, executes the SQL statement; 2, first in memory to read memory, found the required data directly to the user's work space; 3, memory read failure, also said in memory did not find support SQL re
A friend recently discussed with me whether statements in the Where 1 = 1 and format will affect the performance. The final conclusion is no effect.Although the conclusion is correct, the understanding of the problem is far from the root of the problem. In fact, in the process of writing T-SQL statements often make a mistake is to draw a very narrow conclusion, and then teach the Bible, for the T-
where a.id in (select b.ID from TblB b)The second method uses the exist operator:Select a.ID from Tbla a where exists (select 1 from TblB b where b.id = a.id)The advantages of SQL in write are easier to write and easy to understand, which is more suitable for modern software development style. However, SQL performance with in is always lower, while the second fo
We can use set statistics Io and set statistics time to analyze the performance of T-SQL statements.
The method is as follows:
In the SQL Server Query analyzer, run:
Set statistics profile onset statistics Io onset statistics time ongo -- // The SQL statement to analysisgo
Replace "-- // The
dizzy, I can ensure that the database will faint.In addition, execution plans can be reused, and the simpler SQL statements are more likely to be reused. Complex SQL statements have to be re-parsed as long as one character changes, and then the bulk of the garbage is stuck in memory. It is conceivable how inefficient the database will be.4. Staging intermediate results using temporary tableAn important way
SQL Server data insertion performance note, SQL Server Insert NOTE
I haven't paid much attention to SQL Performance for a long time. Because the recent project neither has tens of millions of massive data nor has too many performance
Optimize SQL Execution path to improve report performance and SQL Execution path report
When performance problems occur in reports and data source computing needs to be optimized, it is difficult to determine the execution path. Therefore, intervention is one of the challenges hindering report optimization. Since the e
Tags: style blog http io color OS using SP strongOriginal: "MS SQL" analyzes SQL performance by execution planHow to know the execution efficiency of a SQL statement, only know the following 3 kinds:1. Analysis of disk activity volume (IO) information through SQL statement e
Tonight continue to share the SQL performance issue, today is mainly a number of specific SQL optimization methods and ideas to share, if you look after you have other ideas, welcome to discuss, well, into today's theme.
To optimize the specific application of some serious consumption resources
What is the first thing to do when a
Label:
After a piece of SQL code is written, you can initially predict the performance of the SQL at run time by looking at the SQL execution plan, especially if you find that the SQL statement is inefficient, we can analyze the problem of the
Comparison of paging stored procedures and performance of five types of SQL Server, SQL stored procedures
In SQL Server database operations, we often use stored procedures to implement paging processing of the queried data to facilitate browsing by viewers. This article summarizes the five paging stored procedures for
I. Preface
After the new installation of SQL Server 2005/2008, We need to configure SQL Server Based on the server's hardware and software facilities to achieve better performance. However, the default configuration is used in most cases.
Ii. Configuration
1. server attribute page configuration
(1). Security
Server logon permission authentication: Generall
In SQL query in order to improve query efficiency, we often take some measures to SQL optimization of query statements, the following summarizes some of the methods, there is a need to reference. In the optimization experience of a carrier has encountered a more interesting SQL, as follows:
1 The initial SQL execution
Tonight continue to the SQL performance problem sharing, today is mainly a number of specific SQL optimization methods and ideas to share, if you have other ideas later, welcome to explore together, well, into today's theme.Optimized for specific applications where resource consumption is criticalWhat is the first thing to do when there is a
Label:In SQL Server, COUNT (*) or COUNT (1) or count ([column]) may be the most commonly used aggregate function. A lot of people actually have a clear distinction between the three. This article will describe the roles, relationships, and principles behind the three. As always, I often see some so-called optimizations that don't use COUNT (*) instead of count (1), which can improve performance, given the r
end of your SQL script */SET STATISTICS Profile OFFSET STATISTICS IO OFFSET STATISTICS Time OFF Effect: Alternatively, you can determine how efficient the SQL statement is by adding statements manually to calculate the execution time to see how much time is spent executing the statement: DECLARE @d datetimeSet @d=getdate ()/* Your SQL script starts */SELECT [
SQL Server CPU performance check and optimization related SQL statements, very good SQL statements, recorded here:
-- Begin SQL related to CPU Analysis and Optimization -- use DMV to analyze statements that have used the most CPU resources since
exist and not exist instead of in and not.You can use table links instead of exist. Having can be replaced by where, if not replaced, can be handled in two steps.ExampleSELECT * from ORDERS WHERE customer_name not in (SELECT customer_name from CUSTOMER)OptimizationSELECT * from ORDERS WHERE customer_name not exist (select Customer_name from CUSTOMER)7.2 Do not declare numbers in character format, you want to declare character values in numeric format . (The same date) otherwise invalidates th
:==================================================================================How to view the design of a table or whether the SQL statement is optimized, this way to execute the same SQL statement after indexing, to execute the result.==================================================================================1. Build the index. (built for test performance
Label:To test SQL performance:One, by setting statistics to view the system situation when executing SQL. Options: Profile, O, time.SET STATISTICS profile on: Displays the time, in milliseconds, that is required to parse, compile, and execute the query.SET STATISTICS IO on: Reports information about the number of scans per table referenced in the statement, the number of logical reads (pages accessed in the
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