sql performance tuning steps

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Hive Performance tuning content from the network __dw

Hive General learners and trainers in the performance optimization of the general will be from the syntax and parameters of these tricks point of view, but not revolutionary optimization of hive performance, the reasons for this phenomenon are: 1, historical reasons and stereotypes: When you learn SQL is generally a stand-alone db, this time your

Linux Performance Tuning Command essence __linux

Linux Performance Tuning Command essenceTime: 2010-6-23First, see the hard drive read speedCommand: Hdparm-t/dev/sda5Printed: Timing buffered disk reads:254 MB in 3.01 seconds = 84.34 mb/secDescription: Can specify which hard disk to query the OH.Ii. finding the most iowait-consuming processOperation Steps:1./etc/init.d/syslog Stop2. Echo 1 >/proc/sys/vm/block_du

MySQL performance tuning for 14 axe

|+-----------------------+-------------+| Handler_read_first | 5803750 || Handler_read_key | 6049319850 || Handler_read_next | 94440908210 || Handler_read_prev | 34822001724 || Handler_read_rnd | 405482605 || Handler_read_rnd_next | 18912877839 |+-----------------------+-------------+ Number of query requests paged out by the server: mysql> show global status like ' Com_select '; +---------------+-----------+| variable_name | Value |+---------------+-----------+| Com_select | 222693559 |+-----

MySQL Performance tuning direction

may be a little bit small, or too much fragmentation. Query Cache Hit Ratio = (qcache_hits-qcache_inserts)/qcache_hits * 100% Sample server query Cache Fragmentation rate = 20.46%, query cache utilization = 62.26%, query cache Hit Ratio = 1.94%, hit ratio is poor, probably write more frequently, and possibly some fragments. 4 other 4.1 read_buffer_size 4.2 Slow Query Mysql> Show variables like '%slow% '; + —————— + ——-+ | variable_name | Value | + —————— + ——-+ | log_slow_queries | On | | Slow_

Mysql Tomcat C3p0 System Performance Tuning personal summary

Mysql Tomcat C3p0 System Performance Tuning personal summary System Information The application logic is to use c3p0 to query data in the database and return Json data over http. 1. the initial test result JMeter test result before optimization No. Type Original 1000 data bigger 1 500 Connection 250 query/S 63q/S70q/S 2 1000 connections 255q/S 57q/S65 q

MySQL Performance tuning

the number of empty means the cache is used unreasonable (always run out)2.4 MySQL Log type(1) Error log: Log information generated by the database service during startup and operation, enabled by defaultThe Log-error=/var/log/mysqld.log in/ETC/MY.CNF(2) Binlog log: Default is not enabled.(3) query log: Record all executed SQL commands, not enabled by defaultVim/etc/my.cnf[Mysqld]General-log #默认存储位置/var/lib/mysqlDefault name: Host name. log(4) Slow q

New courses on-line: Oracle database 11GR2 (v): Performance tuning

Buy Oracle Database Course package and enjoy 85 discount!!Package Address: http://edu.51cto.com/pack/view/id-807.htmlPerformance optimization for Oracle 11g R2 databaseDatabase performance problem is the most discussed topic in database field, because it involves database principle, IO storage, server performance, foreground application and so on, so the performance

15 Useful MYSQL/MARIADB performance tuning and optimization tips

Original addressMySQL is a powerful open source relational database management system (RDBMS). It was posted on 1995 (20 ago). It uses Structured Query Language (SQL), which may be the most popular choice in database content management. The latest MySQL version is 5.6.25, released on May 29, 2015.An interesting fact about MySQL is that its name comes from the daughter "My" of Michael Widenius (the founder of MySQL). Although there are many interesting

10 Mysql Performance Tuning Methods _mysql

memory disk Mkdir-p/mnt/ramdisk sudo mount-t tmpfs-o size=4000m tmpfs/mnt/ramdisk/ mv/var/lib/mysql/mnt/ramdisk/mysql 9. Use MYSQL in a NOSQL way B-tree is still one of the most efficient indexes, and all MYSQL is still not obsolete. Using Handlersocket to skip MySQL's SQL parsing layer, MySQL really becomes NOSQL. 10. Other A single query finally increases LIMIT 1, stopping the full table scan.Separating non-"indexed" data, such

One-time Java Performance Tuning summary

the optimal number of threads" ) b. Increasing the cache C. Where the insert operation is performed frequently, bulk insert with native SQL (persistence layer using Eclipselink)2. Parameter adjustment A.JVM memory parameters B. Database connection pool parameters3. The function realizes the design adjustment (least wants to see)According to the actual situation to adopt appropriate means adjustment.Step ThreeDetect the

[Oracle] performance tuning instance-readbyothersession

the data from disk into the Oracle buffer cache. if this happens too often the performance of the query or the entire database can suffer. typically this is caused by contention for "hot" blocks or objects so it is imperative to find out which data is being contended. once that is known this document lists several alternative methods for solving the issue. conclusion: Two or more sessions simultaneously need to load the objects in the hard disk into

Java Project performance monitoring and tuning tools-javamelody Learning Summary

1. Introduction:Javamelody can monitor Java or Java EE application servers in a running environment. It is displayed as a graph: Java memory and Java CPU usage, number of user sessions, JDBC connections, and HTTP requests, SQL requests, JSP pages and Business interface methods (EJB3, Spring, Guice), average execution time, Error percentage, and so on. Charts can be viewed by day, week, month, year, or custom time period.2. Prepare:Download Javamelody-

MySQL Performance Tuning Overview

efficient results. Http://bbs.linuxtone.org/thread-5152-1-1.html3. Operating System-level optimizationA> A 64-bit system can allocate more memory and service tuning to a single process, disable unnecessary services, modify file descriptor restrictions, and reserve more resources for MySQL;B> File System Optimization: XFS is recommended for a separate file system for the data warehouse, which is generally more efficient and reliable.C> enable the noat

SQL Server Tuning Series basics (Parallel operations Summary chapter II)

operation This is it, the next we add to SQL Server on the use of the index and dynamic index content, About indexes I believe that many people who understand database products are familiar with it, but the way in 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 adv

SQL Server Tuning Series basics (Parallel operations Summary)

Refer to the book SQL. server.2005. Technical Insider "series ConclusionThis 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 our daily write addit

MySQL Performance tuning considerations and Indexing

mysql performance tuning considerations and Indexing One: Optimization of the database1 impact of business needsFor example, posts in the Forum statistics, and real-time updates from a functional command select count ( * from can get results if the forum generates thousands of posts per second, we don't use MyISAM The store uses the innodb storage; Even the best devices are not likely to be

SQL Server Tuning Series-Common operators summary

statement that will form a specific plan, and the resulting specific plan is not always optimal, which is related to the content distribution, the amount of data, the type of data in the database's existing data tables, and the statistics that are used to record these details.All optimal planning choices are based on existing statistical information, and if our statistics are not updated in a timely manner, then the optimal execution plan will not be the best, and sometimes the worst.Reference

Several performance tuning methods for Oracle

Oracle is a high-performance database software. The user can adjust the parameters to achieve the optimization of performance. Performance optimization is mainly divided into two parts: First, the database administrator through the adjustment of system parameters to achieve the goal of optimization; The second is that the developer achieves the adjustment by op

The main factors affecting Java performance and tuning

Key factors that affect Java performance 1 hardware configuration, such as CPU, memory, server architecture, etc. 2) operating system 3) database system and database server 4 JVM 5 Application Server 6 The impact of network Environment 7) system architecture and code writing follow the specification for performance tuning st

SQL Server Tuning Series basics (Parallel operations Summary)

, next we will add some of the SQL Server parallel operations, Then analysis of our daily write additions and deletions to these operators to optimize the items, interested in advance attention, about the SQL Server performance tuning of the content is very broad, followed by the analysis in the article.If you have any

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