SQL Server performance analysis query table space and available space
Posted @ zping read (58) | comment (0) Edit Interval between querying long transactions and SQL Execution
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SQL Server performance optimization involves many aspects, such as good system and database design, high-quality SQL writing, appropriate data table index design, and even various hardware factors: network performance, server
than the number of rows of data
The statements and data used in the example are used only as demos, the actual development application is more complex than the sample data, the same query in different circumstances may produce the opposite result, how to apply well is mainly in our personal understanding and understanding, hope to see this article friends can deepen some understanding of the index and understanding , and get rid of the error of index and develop high
With the growth of time, the company's database will be more and more, query speed will be more and more slow. Open the database to see hundreds of thousands of of data, the query is inevitable not waste time.
To improve SQL query effectiveness, you will generally want to build indexes (index) as the first consideration. In fact, in addition to the establishment of the index, when we are in the SQL command
During the work period, the problem of exporting and importing data between databases of different versions is often involved. Simply sort it out and compare the performance. You are welcome to discuss and supplement some methods that are missing.
00. Create a test environment
01. use SQL Server Import and Export Tool
02. Use generate scripts
03. Use BCP
performance gains of indexes, it's very difficult to actually build enough correct and necessary indexes at the outset, how can we infer which tables need to be indexed and which ones are not built correctly?Typically, SQL Server executes a query script with an existing index, assuming that no index is found he will voluntarily generate one and store it in the D
statement optimizer that uses is null or is not NULL in the WHERE clause is not allowed to use the index.
3, in and exists
exists is far more efficient than in. The inside relates to the full table scan and range scan. Almost all of the in-operation Subcode queries are rewritten as subqueries using exists.
4, in the mass query as little as possible with the format conversion.
5, when in SQL SERVER 2000
Label:From: SQL Server Query performance optimization-heap table, fragmentation, and index (i) SQL Server Query performance optimization-heap table, fragmentation, and index (ii) SQL
Sometimes, all you do to make the application run faster
WorkMake some minor adjustments here or there. But the key lies in determining how to adjust it! Sooner or later, you will encounter this situation:
SQLThe query cannot respond as you want. It either does not return data or takes a surprising amount of time. If it reduces the speed of enterprise applications, users must wait for a long time. Users want their applications to respond quickly and their reports can return analysis data instant
Optimize Your Application Design
If you use a multi-tier design for your application, SQL Server is only part of a large application. The implementation of multi-layer design has a greater impact on application performance than you think. It has a greater impact than SQL Server
Brief introduction
In SQL Server, data is stored on a page. When you add a clustered index to a table, SQL Server searches for the data by using the columns of the clustered index as the keyword. Therefore, the impact on performance of the selection of clustered indexes bec
not fully covered, at least to explain a part. Above we get the results to view the execution time, now let's look at both the query execution plan.
Select COALESCE (select MAX (index_id) from sys.indexes WHERE [object_id] = t.[object_id]), 0) from
sys.tables as T;
select ISNULL (SELECT MAX (index_id) from sys.indexes WHERE [object_id] = t.[object_id]), 0) from
sys.tables as T;
The above may not be accurate, but also related to hardware configuration, it is possible to coale
1. PrefaceFor the optimization of SQL statements or stored procedures, the former mainly use the following statements to determine the specific execution time, but the SQL environment is complex and changeable, the following statement does not accurately determine whether the performance is improved, if you need to know the CPU, IO and other information, there is
not produce problems with data merging as the self-increment field does.Disadvantages:(1) It is 16 bytes in length and consumes a lot of storage space.(2) This data type is not regular, it is time-consuming to index the above, so the efficiency is lower than using the self-increment field.3, CombGiven the pros and cons of the two primary key types above, the comb type can be used to find a balance for both. Its design idea is this: since the GUID type has no regularity can be made index ineffic
Tags: des style blog http color io os ar strongOriginal: 5. SQL Server database performance monitoring-current requestFor systems running on-line, current database performance monitoring typically monitors the following points:(1) Whether there is obstruction (Blocking);(2) whether there is waiting (waiting), blocking
not regular, it is time-consuming to index the above, so the efficiency is lower than using the self-increment field.3, CombGiven the pros and cons of the two primary key types above, the comb type can be used to find a balance for both. Its design idea is this: since the GUID type has no regularity can be made index inefficient, affecting the performance of the system, then can not be combined to preserve the GUID of the first 10 bytes, with the lat
Label:Original: SQL Server database Performance tuning tipsThe reasons for the slow query are many, and the following are common: 1. No index or index is not used; 2, I/O throughput is small, forming a bottleneck effect; 3, insufficient memory; 4, the network speed is slow; 5, the amount of data queried is too large; 6, lock or deadlock; 7, the return of unnecess
SqlServer full-text index performance has never been very good. I heard from my colleagues today and found a skill. I went back and tried it. I found that it can significantly improve the full-text index performance, generally, it can be increased by 2 times + original SQL statement: select * fromTable1whereContants (*, test) optimized
It's been a long time since you've written, and DBAs typically have to test server performance before the system is officially online.
For example, you have a lot of servers, some do Web server, some do cache server, some do file server, some do database
The database SQLServer is born with the same parent in the Windows operating system, and they have technical connectivity. This is reflected in many aspects. For example, in our daily work, we can adjust some parameters of the Windows operating system to improve the performance of the SQL Server database server. I. res
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