jms performance tuning

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 unnecessary rows and columns; 8, query statement is n

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

The method of performance tuning for Linux operating system 2013-03-18 15:35 Honestqiao Chinaunixfont Size:T | T Linux is a free-to-use and free-to-propagate Unix-like operating system, with different Linux distributions and different kernels making changes to the parameters and settings, allowing the system to achieve better performance. This article shares sev

Lao Li share: Performance tuning operating system-level load analysisThe load is broadly divided into two categoriesA.CPU loadB.I/O loadIf an application needs to perform large-scale computations, although the program and disk do not have data I/O, it can take a long time to complete processing, mainly because the program relies on CPU computing, which creates the load pressure on the cup, which is called a

Performance Tuning Experience SummaryThe problem arises:In the daily environment, a server, for example, the machine's number of visits per second is around 368, the maximum number of visits at 913. The performance of the external service is that every two or three hours there is a second level of time client request timeout, in the case of increased traffic, the

compressing and extending the heap space:-xx:minheapfreeratio: Sets the minimum idle scale for heap space. The default is 40. When the free memory in the heap space is less than this value, the JVM expands the heap space.-xx:maxheapfreeratio: Sets the maximum idle scale for heap space. The default is 70. When the free memory in the heap space is greater than this value, the heap space is compressed and a smaller heap is obtained.When-xms and-xmx are equal, both parameters of-xx:minheapfreeratio

Performance Tuning for Nginx1 Modify the core number of CPUs corresponding to the Nginx work process this is generally your CPU core number of twice times, founder is multiples, specific to several times to see the specific hardware configuration2 Modifying the file descriptor 65536 ulimit-n Permanent effect can be changed/etc/sysctl.conf3 Modifying the Linux kernel scheduling algorithm Epoll4 Modifying the

First, the main method of neural network performance tuning the technique of data augmented image preprocessing network initialization training The selection of activation function different regularization methods from the perspective of data integration of multiple depth networks 1. Data augmentation The generalization ability of the model can be improved by increasing the amount of data without changing t

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

Go language Development (eight), go Language program testing and performance tuning Introduction of the Go Language Automation testing Framework 1. Introduction to Automated testing framework The testing of the Go Language standard package provides a framework for unit testing (functional testing) and a common approach to performance testing (stress testing) that