oracle performance tuning guide

Performance Tuning Recommendations1. Optimize your query for query cachingMost MySQL servers have query caching turned on. This is one of the most effective ways to improve sex, and this is handled by the MySQL database engine. When many of the same queries are executed multiple times, the results of these queries are placed in a cache so that subsequent identical queries do not have to manipulate the table

Article Title: Linux performance monitoring and tuning (CPU ). Linux is a technology channel of the IT lab in China. Includes basic categories such as desktop applications, Linux system management, kernel research, embedded systems, and open source. In fact, there are many articles on this part on the Internet. Why is this article still available? There are several reasons why it is the motivation of my tra

I. Analysis Phase In general, there are often too many areas of concern in the system analysis phase, system functionality, availability, reliability, security requirements tend to attract most of our attention, but we must note that performance is a very important non-functional requirements, must be based on the characteristics of the system to determine its real-time requirements, response time requirements , hardware configuration, and so on. It

MySQL Performance tuning my.cnf detailedHttps://blog.linuxeye.cn/379.htmlProvides a MySQL 5.6 version suitable for MY.CNF profiles on 1GB memory VPS (click here to download the file): [Client] Port = 3306 Socket =/tmp/mysql.sock [Mysqld] Port = 3306 Socket =/tmp/mysql.sock Basedir =/usr/local/mysql DataDir =/data/mysql Pid-file =/data/mysql/mysql.pid user = MySQL bind-address =

Label:MySQL performance tuning and architecture design--1th chapter MySQL Basic introductionPreface:As one of the most popular open source database software, MySQL database software has been widely known. But in order to take care of the readers who are not familiar with MySQL, this chapter will make a brief introduction to MySQL. The main content includes MySQL each function module composition, each module

, and SQL server database can all display the execution plan of a given statement. I have analyzed in detail the execution plans of these three databases, and there is no essential difference between them. Therefore, the content in this article is suitable for these three databases. Similarly, it should be suitable for the vast majority of other databases. A deep understanding of Single-Table execution is the basis for understanding the multi-Table execution plan. The DM database displays more i

Use of MongoDB stored procedures and performance tuning Solutions Although MongoDB provides us with a lot of drivers, it is not convenient to use the mongodb shell. For example, the recently needed DBRef nested data must be CRUD. If the mog driver is used, it will be very troublesome. Therefore, we will conduct an experiment here. First, add the Server-side script and test the initialization data to the tes

15 useful MySQL/MariaDB performance tuning and Optimization Techniques MySQL is a powerful open-source Relational Database Management System (RDBMS ). It was released in 1995 (20 years 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, which was released on July 25, May 29, 2015. An interesting fact about M

/comprehensive) --Time_limit (in)-maximum duration in second for tuning --Task_name (in)-Optional tuning Task Name --Description (in)-Maximum of the SQL tuning session description -- --RETURNS: --SQL tuning Task unique Name -- --EXCEPTIONS: --To IS done ------------------------------------------------------------------

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dbms_spd.flush_sql_plan_directive;SET Linesize 200COLUMN dir_id FORMAT A20COLUMN owner FORMAT A10COLUMN object_name FORMAT A10COLUMN col_name FORMAT A10SELECT To_char (d.directive_id) dir_id, O.owner, O.object_name,O.subobject_name Col_name,o.object_type, D.type, D.state, D.reasonFrom Dba_sql_plan_directives d,dba_sql_plan_dir_objects oWHERE d.directive_id=o.directive_idand O.owner = ' TEST 'ORDER by 1,2,3,4,5;No rows selectedSql>2. Performance feedb

be reported as ' too many connections ' error. For the value setting of wait_timeout, it should be judged according to the operation condition of the system.# After the system has been running for a period of time, you can view the current system's connection status through the show Processlist command, if you find a large number of sleep status of the connection process, the parameter setting is too large,# you can make the appropriate adjustments smaller. To set Interactive_timeout and wait_t

value setting of wait_timeout, it should be judged according to the operation condition of the system.# After the system has been running for a period of time, you can view the current system's connection status through the show Processlist command, if you find a large number of sleep status of the connection process, the parameter setting is too large,# you can make the appropriate adjustments smaller. To set Interactive_timeout and wait_timeout at the same time will not take effect.[Mysqldump

be sorted, or it can be added to a column (like joins or additions). Any non-indexed item in the ORDER BY statement, or a computed expression, will slow down the query. Double-check the order BY statement to find non-indexed items or expressions that degrade performance. The solution to this problem is to rewrite the order BY statement to use the index, or you can establish another index for the column you are using, and you should absolutely avoid u

configuration. Linux is rich, powerful, and flexible, and you can do a variety of tasks with it, and in this article we'll discuss some tips for improving the performance of Linux servers.1. Tuning the Linux kernel elevator algorithm for disk I/OAfter selecting the file system, there are some kernel and mount options that may affect its performance, one of which

One of the practical skills that can greatly improve the performance of SQL TUNING optimization. When we perform SQL optimization, we often encounter the need to sort a large number of datasets and then retrieve the first part of the results from the sorted set. In this case, when we write SQL statements according to the general idea, the system first reads and filters all sets, then sorts them, and then ex

the data processing to the SSAS Cube Dimension (also disk files), again generate unequal disk overhead, in addition to distinct to recalculate, the former need to the membership dimension of this large table to do tier to heavy, the latter only need to the membership level this small dictionary table to do the heavy, obviously the calculation is different weight class, These are just the cost of the process, perhaps you are doing in the night, not care these, then the

performance, and to control their sum within the value specified by the Sga_target. Once you assign a value to Sga_target (the default is 0, that is, ASMM is not started), the ASMM feature is started automatically.iii. Oracle Memory tuning approachWhen a performance problem arises in the production environment of a pr

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 rumors about MySQL, this article is mainly t

Tags: mysql, mariadb1. Performance1) Performance improvementMySQL5.7 provides more consistent linear performance and scalability on systems that support multi-processor and highly concurrent CPU threads. The key to achieving this is to eliminate InnoDB kernel contention and mutex locking through the concurrency of the efficiency of the Oracle InnoDB storage engin