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which some statements in SQL Server take advantage of the index may not be clear, our next analysis of this piece, to understand the indexing method and optimization techniques, interested in advance attention, about SQL Server performance
Performance | Statement One, the problem of the proposed
In the early stage of the application system development, because the development database data is few, to query the SQL statement, the complex view compilation and so on cannot realize the SQL statement various writing performance good or bad, but if the applica
indicates that the file expires 24 hours after the request.
Other dynamic pages that need to be processed can be called directly.
3.2, Etag
Processed according to the HTTP return status. When you return 304, read directly from the cache
such as etag.php
Cache ();
echo Date ("y-m-d h:i:s");
function Cache ()
{
$etag = "Http://www.jb51.net";
if ($_server[' http_if_none_match '] = = $etag)
{
Header (' Etag: $etag, true,304);
Exit
}
else header (' Etag: '. $etag);
}
?>
We know that a reasonable c
Speaking of the tuning of SQL Server, I think everyone would like to know this knowledge. I am also exploring the way, we have any good ideas, welcome to discuss and study. Win the people's long, can avoid weaknesses.
This article is mainly from the programmer's SQL code, if you want to read, you can download the Inte
;=@firstSensorID and Msl.id@lastSensorIDSelectCount (1) as[motioninferred] from[Tracks]. [dbo]. [Monitorsensorlog] MSLwhereMsl. Sensortype='motioninferred'and msl.id>=@firstSensorID and Msl.id@lastSensorID End View Code 4.Union VS Union AllUnion: Sets the two result sets, excluding duplicate rows, and sorting the default rules. Union All: Set operation on two result sets, containing duplicate rows, without sorting. INTERSECT: Is the intersection of two query results for two result sets, excludin
.
Linux features are rich, powerful, and flexible. You can use it to complete various tasks. In this article, we will discuss some techniques to improve the performance of Linux servers.
1. Adjust the Linux kernel elevator Algorithm for disk I/O
After selecting a file system, some kernel and mount options may affect its performance. One of the kernel settings is the elevator algorithm. by adjusting the elev
Because our application is running on the Liferay application server, some optimizations for the server are of course our first thought.
We have done a lot of testing before, because Liferay will have css-fast-load, and js-fast-load, these parameters will be a number of CSS files or several JS files merged into a single large file, which can significantly reduce the number of network IO overhead, We develo
Brief introduction
IBM WebSphere Application Server is a reliable enterprise application server that provides a set of core components, resources, and services for developers to use in their applications. Each application has unique requirements and often uses the resources of the application server in a very different way. To provide a high degree of flexibilit
, faster disk.2.5.1. Network performance evaluation(1)通过ping命令检测网络的连通性(2)通过netstat –i组合检测网络接口状况(3)通过netstat –r组合检测系统的路由表信息(4)通过sar –n组合显示系统的网络运行状态Three Linux server performance Tuning 1. Tuning the Linux kernel elevator algorithm for disk I/OWhen the file system is selected,
nothing is perfect.The cost of the Begin Tran is that all the resources locked by the SQL statements cannot be released until the commit is committed before committing.It can be seen that if the BEGIN TRAN too many SQL statements, the performance of the database is poor. Before this large transaction commits, it is bound to block other statements, resulting in m
Label:Original: SQL Server Tuning Series advanced (how the query optimizer runs)ObjectiveIn the previous articles, we introduced a series of basic descriptions of operators and the optimization methods and techniques for each operator. This includes a series of our common operators, including how to view execution plans, how several datasets are commonly used, ho
. server.2005. Technical Insider "series
Conclusion This article first to this bar, the article is short, easy to understand, follow-up on the parallel operation of a part of the content, follow-up articles, this article mainly introduces the parallel operators in the query plan, next we will add some of the SQL Server parallel operations, Then analysis of
the statement is executed using the index ....First the nonclustered index contains the column: [Orderid],[customerid]The value we want to get is filtered according to Shippostalcode, so to get the result you have to do a single scan of the nonclustered index (index Scan), which can also, after all, nonclustered indexes are ordered, but in order to filter, you must introduce a bookmark lookup (Key Lookup) To filter, we know that the bookmark lookup is random io, the consumption is huge, so this
configuration.Linux is rich, powerful, and flexible, and you can do a variety of tasks with it, and in this article we'll discuss some tips for improving the performance of Linux servers.1. Tuning the Linux kernel elevator algorithm for disk I/OAfter selecting the file system, there are some kernel and mount options that may affect its performance, one of which
SQL Server performance optimization skills, SQL Server Performance Optimization
1. Select the most efficient table name sequence (only valid in the rule-based Optimizer)
The SQL
SQL Server address search performance optimization and SQL server performance optimization
This is an example of a long time ago. Now, I have no intention of discovering the materials, so I will take it out and try again.
1. Requi
configuration. Linux is rich, powerful, and flexible, and you can do a variety of tasks with it, and in this article we'll discuss some tips for improving the performance of Linux servers.1. Tuning the Linux kernel elevator algorithm for disk I/OAfter selecting the file system, there are some kernel and mount options that may affect its performance, one of which
union and UnionAll. UnionAll Good 18, pay attention to using distinct, do not use when not necessary, it will make the query slower than the union. Duplicate records are not a problem in the query. 19. Do not return rows or columns that are not required when querying 20. Use sp_configure ' query governor cost limit ' or setquery_governor_cost_limit to limit the resources consumed by the query. When an estimate query consumes more resources than the limit, the
Some time ago, I had a performance problem with my website, and sometimes the page was very slow to open. It would take more than 10 seconds. I tried a lot of methods, including cache, disable viewstate, and Disable debug mode. The improvements were not obvious.
Later, I ran into SQL Server Profiler to check the cause: a slow query dragged down the entire page
With examples and resolution plans, this article shows some tips for improving query efficiency on Microsoft SQL Server. There are many small tips and tricks in programming. Knowing these techniques can extend your ability to optimize your performance.
All of our examples in this section choose to use the Microsoft Showplan_all output because it is more compact
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