postgresql performance tuning parameters

System Performance Tuning for CentOS servers Linux is an open-source operating system that supports various hardware platforms. Linux servers are world-renowned. The main difference between Linux and Windows is that, by default, a Linux server does not provide a GUI (graphical user interface) but a command line interface. The main purpose of the GUI is to efficiently process non-interactive processes. The r

BEA WebLogic jrockit usage and Performance Tuning 1. Introduction to jrockit OptimizationJrockit is an adaptive JVM that can automatically adjust itself to adapt to the underlying hardware. Therefore, its optimization is mainly focused on parameters that require manual intervention, such: the number of Ram resources to be allocated to jrockit. Jrockit has a set o

;Most disk configurations are based on capacity requirements rather than performance;The cheapest solution may be a small number of large-capacity disks;The second most common problem is having too handle logical disks on the same array.This increases seek time and significantly lowers performance.The disk subsystem is discussed in 4.6, "Tuning the disk subsystem" on page 112.The second common problem is th

Original article: http://www.mastertheboss.com/jboss-performance/jboss-as-7-performance-tuning JBoss Application Server Tuning Although many architects and software engineers agree that the performance of about 70-80% of applications depends on the code of the application it

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

more information: Open source distributed database middleware mycat:http://blog.oldboyedu.com/mysql-mycat/Mycat: Open Source distributed database middleware: http://www.csdn.net/article/2015-07-16/2825228 Mongodb I've heard about it a few years ago, just know it's a nosql database, knowing that the storage format is JSON and is a file database. MongoDB supports sharding: Concrete implementation: http://my.oschina.net/ydsakyclguozi/blog/268377

Chapter 2 procedural performance tuning of PL/SQL applications I. Reasons for PL/SQL Performance problems When the execution efficiency of PL/SQL-based applications is low, it is usually caused by poor SQL statements and programming methods, poor understanding of PL/SQL basics or misuse of shared memory. Bad SQL statements in PL/SQL PL/SQL programming see

SQL Server Performance Tuning 3 (Index) MaintenanceHeat1 reviews Brook Stream GrassSQL Server Performance Tuning 3 (Index) MaintenanceObjectiveThe previous article describes how to improve the query performance of a database by building an index, which is really just the be

Check 12 Performance Tuning commands in linuxGuidePerformance Tuning is one of the most important tasks for O M engineers. If your production environment experiences slow system response speed, abnormal hard disk I/O throughput, and the data processing speed is lower than the expected value, or if the CPU, memory, hard disk, network, and other system resources a

shows the CPU usage and I/O busy during this period. This is very helpful. I pay for it again: the output information of sp_configure does not need to be sent in the future, so it is useless. Give sp_sysmon information. Note: The allocation of database size, tempdb size, and log size can improve ASE performance by using parallel Io. The formula is as follows: Database size = DB Tempdb = dB * 20% (experience) Log size = dB * 20% Sp_sysmon This ar

The following environments are representative of the general configuration and work environment of small and medium-sized enterprises. I hope this article will help you understand the MySQL database performance tuning method in Linux. BKJIA recommends the MySQL database getting started and proficient tutorial. Hardware preparation environment: Hard drive: 16 SAS 15 k raid 5 with 512 MCache CPU: AMD 4-core t

JBoss Application Server Tuning Although many architects and software engineers agree that the performance of about 70-80% of applications depends on the code of the application itself, improper configuration of the server environment can significantly affect your user experience, and ultimately affect the performance of your application. Many configuration eleme

An outline that is roughly written in the optimization content of the physical design and logical design of the DB, mainly physical design, logical design introduction of the content is not much, the outline of the physical structure design and example optimization of organic combination of the logical structure design and application adjustment together ... Oracle Performance Tuning Guidance outline Desi

analysis of Web container thread pool server > Application server > (server name) > Thread pool > Webcontainer minimum Size: 10 Maximum size: 50 monitor Web container thread pool maximum by TPV (within acceptable time range), set EJB cache server > Application server > (server name) > EJB tell cache set > EJB cache setting > Cache large Small cache Size: 2053 Purge interval: 3000 For example through TPV monitoring found that Ejbstore () has a high call rate and CPU utilization is very low, can

Oracle Database 10g Performance Tuning tips and techniques is recommended. For Oracle performance test, diagnosis, analysis, and optimization, see! Chapter 2 Basic index principles (beginner developer and beginner dBA). For Oracle index optimization, refer! Chapter 4 tuning the database with initialization

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

user data on each disk, Causing greater I/O rates to the physical disk and allowing disk bottlenecks to occur. The most common disk bottleneck is that the hard disk is too small; Most disk configurations are based on capacity requirements rather than performance; The cheapest solution may be a small number of large-capacity disks; The second most common problem is having too handle logical disks on the same array. This increases seek time and signif

main way of performance analysisMonitoring: Monitoring is a general way to view the runtime behavior of an application. There are often multiple views (view) that show CPU usage, memory usage, thread status, and other useful information in real time, respectively, so that users can quickly discover the key to the problem.Dump: The profiling tool obtains current state data from memory and stores it in a file for static

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 flexibility and support for this wide range of applications, WebSphere application Server provides a comprehensive set of

value directly affects the performance of data read. tuning : Of course, the bigger the better, if read than write less, open to 0.4-0.5 is no problem. If read and write more balanced, about 0.3. If you write more than read, be decisive by default. When setting this value, you should also refer to Hbase.regionserver.global.memstore.upperLimit, which is the maximum percentage of the heap Memstore, two