mongodb insert performance tuning

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

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

MySQL Performance tuning: The speed of the insert query: The time to insert a record consists of the following: Connection: (3) Send query to server: (2) Analysis of the query: (2) Insert Record: (1 x record size) Insert In

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

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

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

Redis Foundation, advanced features and performance tuning Kelgon attention 2017.02.28 16:22 words 12597 read 16333 comments 5 like 154 appreciate 2 This paper will start from the basic characteristics of redis, through the description of the REDIS data structure and the main command of the Redis basic capabilities of the intuitive introduction. After that, the advanced capabilities provided by Redis are d

can make the system more performance-efficient. Method 7: Correctly determine the life cycle of the JavaBean A powerful place for JSP is the support of JavaBean. By using a label in a JSP page, you can insert JavaBean directly into a JSP page. It is used in the following ways: The scope attribute indicates the life cycle of the bean. The default life cycle is page. If you don't choose your bean's lifecy

Recently, due to Project Memory leakage, large-scale JVM performance tuning has been performed. , Now we will record the experience. I. JVM Memory Model and garbage collection Algorithm 1. According to the Java Virtual Machine specification, JVM divides the memory: New (young generation) Tenured (elder generation) Permanent generation (Perm) Among them, new and tenured are heap memory. The heap memory

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 =

Hardware preparation environment: Hard Disk: 16 SAS15KRAID5 with 512 MCacheCPU: AMD4 core two memory: 16 GB software environment: Operating System: RedHatAS4.62.6.9 Hardware preparation environment: Hard Disk: 16 SAS 15 K RAID5 with 512 MCacheCPU: AMD 4-core two-core memory: 16 GB software environment: Operating System: RedHat AS4.6 2.6.9 Hardware preparation environment: Hard drive: 16 SAS 15 k raid 5 with 512 MCache CPU: AMD 4-core two Memory: 16 GB Software environment: Operating System:

Hardware preparation environment: Hard drive: 16 SAS 15 k raid 5 with 512 MCache CPU: AMD 4-core two Memory: 16 GB Software environment: Operating System: RedHat AS4.6 2.6.9-67. ELsmp Mysql: 5.0. Performance Tuning based on different scenarios is as follows: Scenario: Write operations (insert, query, and delete) are intensive, and the data capacity far exceeds th

), or (or), and not (non). Not can be used to negate any logical operation symbol. The following is an example of a NOT clause: ... where not (status = ' VALID ') If you want to use not, you should precede the phrase with parentheses and precede the phrase with the NOT operator. The NOT operator is included in another logical operator, which is the not equal to ( . : Where status For this query, it can be rewritten to not use not: SELECT * FROM employee where salary Although the results of thes

SQL Server Performance Tuning 3 Index MaintenancePreface The previous article introduced how to improve database query performance by creating indexes, which is just the beginning. If you do not need proper maintenance in the future, the indexes you have previously created may even become a drag-and-drop attack and a helper for database

Label:MySQL performance checking and tuning methodPublished: October 4, 2009 published by: OurmysqlSource: Sudone.com was read: 3,524 times only 1 ReviewsI have been using MySQL this database software, it works relatively stable, high efficiency. In the face of severe performance problems, there are generally several possibilities: 1, the index is no

"Performance Tuning" Oracle AWR reporting metrics full resolution What is AWR? ===================================================================================================== AWR (Automatic workload Repository) A bunch of historical energy data, placed on the Sysaux table space, AWR and Sysaux are all 10g, are the key features of Oracle tuning; About

statement and clickFirst, the Database design optimization1. Do not use cursors.Using cursors not only takes up memory, but also locks tables in incredible ways, so that all the performance optimizations that DBAs can do are equal to not being done. Each fetch in the cursor is equal to the execution of a select.2. Create an appropriate indexWhenever you add an index to a table, select is faster, and insert

should precede the phrase with parentheses and precede the phrase with the NOT operator. The NOT operator is included in another logical operator, which is the not equal to (... where status For this query, it can be rewritten to not use not:SELECT * FROM employee where salaryAlthough the results of these two queries are the same, the second query scenario is faster than the first query scenario. The second query allows Oracle to use indexes on salary columns, while the first query cannot use i

Document directory Preliminary steps Using bind variables There are several relatively easy steps you can take to improve performance. From the user's perspective, one of the most frequently used interfaces with a database involves SQL statements, so getting a handle on them is a good place to start, in terms of being able to see an immediate improvement. -->Oracle perfor