weblogic performance tuning

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

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

means a survivor area consumes 1/8 of Eden memory, or 1/10 of the Cenozoic memory) PermSize = 268435456 (256.0MB) # #perm区大小 MaxPermSize = 268435456 (256.0MB) # #最大可分配perm区大小Heap Usage: # #堆使用情况New Generation (eden + 1 Survivor space): # #新生代 (Eden District + survior) capacity = 322109440 (307.1875MB) # #新生代容量307M used = 226237024 (215.75643920898438MB) # #已经使用大小215M free = 95872416 (91.43106079101562MB) # #剩余容量91M 70.23607380150051% used # #使用比例70%eden

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

indexes are fully utilized during execution. normally, if the index is fully utilized, the name of the execution step will be index seek. note: When analyzing Io, You need to execute the set statistics Io on statement to open the IO analysis.4. Based on the analysis results, add the corresponding indexes and reduce the I/O later.5. for stored procedures, the event viewer should be used to further filter their information. If spid is used (which can be obtained through select @ spid), then the m

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.

Document directory Configuration Optimization Others Hbase client Optimization Link: http://kenwublog.com/hbase-performance-tuning Because the performance tuning section of the official book does not index by configuration item, quick query cannot be achieved. So I re-organized the original text with the configu

poorly run applications outweigh the investment in human, program, and technology using reliable load testing methods. Therefore, I would like to provide the following list of load tests for your application, which will be a magic bullet to prevent your SQL Server performance tuning problem. Checklist: Load test--sql server performance

ObjectiveAfter getting started with the JVM garbage collection mechanism, you can then learn the performance tuning. There are two main parts of the content: The use of JDK tools. Tuning strategy. Weapon Spectrum JPSList the running virtual machine processes, using the following:JPS [-option] [HostID] Options function

change the concurrency count to 200. found that about 50% of the return to 502. Then I will keystone-api instead of Keystone own service Openstack-keystone. Again with 200 concurrent pressure test: The discovery processing is normal, did not return 502. Ab-r-N 100000-c 200-h "user-agent:python-keystoneclient"-H "accept:application/json"-H "x-auth-token:65e194" htt p://keystonehost:35357/v2.0/ Probably know that the problem should be on nginx and UWSGI, limiti

) name:@"IdleNotification" object:nil]; NSNotification *notification = [NSNotification notificationWithName:@"IdleNotification" object:nil]; [[NSNotificationQueue defaultQueue] enqueueNotification:notification 　　postingStyle:NSPostWhenIdle];} Five, memory optimization Use Autorelease pool to reduce memory spikes Six, Code details optimization 1, not in the viewwillapear time-consuming operation 2. If the key code is more efficient with C/C + + Seven, picture optim

settimeoutc) Use canvas animations appropriately, use CSS animations within 5 elements, and more than 5 using canvas animations (iOS8 can use WebGL)· High Frequency event OptimizationTouchmove, Scroll events can cause multiple renderingsA) use Requestanimationframe to monitor frame changes to make rendering at the right timeb) Increase the time interval for response changes and reduce redraw times· GPU AccelerationThe following properties in CSS (CSS3 transitions, CSS3 3D transforms, Opacity, C

the implementation of join. And this operation plays a crucial role in the secondary sort mode. Secondary sort mode refers to the user expects data to be grouped by key and wants to traverse value in a specific order. UserepartitionandsortwithinpartitionsPlus a part of the user's extra work can achieve secondary sort.ConclusionYou should now have a good understanding of all the essential elements needed to complete an efficient Spark program. In part II, you will learn more about resource invoc

Javascript's performance tuning point A, use caution to remember that the "eval" code is 100 times times slower than the "eval" code. The main reasons are: JavaScript code performs a "precompiled" operation before execution: first, it creates an active object in the current execution environment and sets those variables declared with Var to the properties of the active object, but at this point the variabl

|| Slow_launch_time | 2 |+------------------+-------+Mysql> show global status like '%slow% ';+---------------------+-------+| variable_name | Value |+---------------------+-------+| Slow_launch_threads | 0 || slow_queries | 4148 |+---------------------+-------+The configuration of the record slow query, the execution time of more than 2 seconds is slow query, the system shows that there are 4,148 slow query, you can analyze the slow query log, find the problem of SQL statements, slow query tim

, where sending data accounts for 99% of the time. Still more than the initial page load time. Finally, instead of innerjoin the table with the select method to remove the relevant data, leftjoin the table data, by looping the select result set, the data is obtained separately. After the modified development environment page load time is 0.2~0.3s, the server environment is 0.4~0.5s. Although not ideal, performance is acceptable for small systems withi

MySQL performance tuning and Architecture Design-Chapter 1 Data splitting of scalability design and mysql Optimization Chapter 1 Data splitting for scalable design Preface The expansion implemented through the MySQL Replication function is always limited by the size of the database. Once the database is too large, especially when writing too frequently, it is difficult to support it by a host, we are still

TraceView and androidtraceview of Android Performance Tuning Tool Since the 16 Performance Optimization series Videos released by Google in January, many excellent articles on the optimization series have been found in major communities during this time. I have analyzed the causes of performance, shared how to optimize

There are fewer tutorials on iOS performance tuning, and the decision to write an iOS performance Tuning series focuses on several aspects of memory leaks, performance optimization, traffic, and power analysis.Xcode has provided a very powerful