jms performance tuning

Tune to the last, the more you feel the following 2 words quite sensible:"Based on our experience (as evidenced by many industry experts), 80% performance gains on SQL Server came from improvements in SQL coding, not from tuning for configuration or system performance. ”-Kevin Kline, Transact-SQL programming author"Experience shows that the

virtual memory management of Linux, if a memory page has been allocated, but has not been used for a period of time, Linux will move the memory page into swap space.You can often see daemons such as Getty, which are usually started when the system is started, but are rarely used. It seems more efficient to free up the precious main memory of the page and move it to the swap area. This is how Linux manages swap, so you don't need to panic when you find that the swap area is already using 50%. Th

Liferay The default is not to turn on tuning parameters, so run slower, we can open some parameters to achieve better performance: Today I did the following configuration: (1) The following parameters are configured in the $liferay_home/portal-ext.properties: Last.modified.check=false Theme.css.fast.load=true Javascript.fast.load=true (2) We've disable all the filters in the $liferay_home/ (3) We d

This article is a systematic summary of the consumption analysis in performance tuning.For additional space on the Performance tuning series, see.Performance Tuning: CPU consumption analysisPerformance tuning: IO consumption analysisPerformance

Tags: phone media font insert mode send com debug = =ObjectiveAn engineer at Microsoft once had a very figurative metaphor for performance tuning: Peeling onions. I also very much agree, let us to a layer of a layer of the outside its mysterious veil. Six major factorsThe following are the most common diagrams we use to analyze database performance issues for ou

Today, we will focus on the comprehensive analysis of 12 difficult problems in DB2 performance tuning, if you are interested in the comprehensive analysis of the 12 Problem Problems in DB2 performance tuning, you can understand the following articles. The following is a detailed description of the main content of the a

This article transferred from: http://www.cnblogs.com/chen77716/archive/2010/06/26/2130807.htmlRecent memory leaks due to the project, so large-scale JVM performance tuning, now the experience to do a record.First, JVM memory model and garbage collection algorithm1. According to the Java Virtual Machine specification, the JVM divides the memory into: New (Young Generation) Tenured (old generati

In addition to the integrated VISUALVM and Jconsole, the JDK itself provides performance tuning monitoring tools such as JPS, Jstack, Jmap, Jhat, and Jstat.In Java development, we sometimes encounter the following problems:OutOfMemoryError, Low memoryMemory leaksThread deadlockLock contention (lock contention)The Java process consumes too much CPU......These problems may be overlooked by many people in thei

Performance Tuning for mysql SQL statements Performance Tuning for mysql SQL statements In server development, there are sometimes requirements on the concurrency, and sometimes an SQL statement, such as a stored procedure, affects the speed. Now, if the execution of an SQL statement is slow during server code execu

database SELECT statement printed from the log of the program) after the SELECT statement Jmeter testresult No. Type Original Bigger 1 500Connection query/s CPU 100%150q/s 2 Connections 255q/s 160q/s160q/s The problem now is that the Tomcat request 160q/s no more tuning, Tomcat's memory configuration 4G actually used less than 1 G, CPU 8 core utiliza

Label:20 Experience tuning MySQL performance optimizationPublished: February 15, 2012 published by: OurmysqlSource: Web Base is read: 3,354 kills 0 comments This article will introduce you to 20 MySQL performance optimization experience, these little experiences will help you better use MySQL for web development. Today, database operations are increasingly bec

This article mainly describes the problem of DB2 Performance Tuning. We mainly answer the problems in DB2 performance tuning in a one-Question-and-one manner, the following is a description of the DB2 Performance Tuning problem. I

rate is too high is not continue to decline). The attenuation learning rate can be adopted, and the learning rate is gradually attenuated with the training. Take 0.5. For example, when Val loss meet No-improvement rules, should have taken early stopping, but can not stop, but let learning rate half continue to run. So repeatedly. Attenuation methods are: attenuation to a fixed minimum learning rate linear attenuation, exponential decay, or 2-10 times as much attenuation per Val loss stagnation.