mysql documentation

Today, database operations are increasingly becoming a performance bottleneck for the entire application, which is especially noticeable for web applications. It's not just about the performance of the database that DBAs need to worry about, it's

Because the previous use of Ubuntu is rarely used CentOS, today needs to install a database, the spirit of rapid resolution of this need to start installing MySQL, but look at a lot of information, finally did not succeed, one hours is really enough,

Today, database operations are increasingly becoming a performance bottleneck for the entire application, which is especially noticeable for web applications. It's not just about the performance of the database that DBAs need to worry about, it's

Today, database operations are increasingly becoming a performance bottleneck for the entire application, which is especially noticeable for web applications. It's not just about the performance of the database that DBAs need to worry about, it's

Foreword: Recently in the internship, to do with the MySQL related development, think of a long time ago a pen test--to see the database table structure of what kinds of methods;(i) using the describe statementOrDESC table_name;The latter is the

1 principleThe MySQL query cache saves the full result returned by the query. When the query hits the cache, the results are returned immediately, skipping the parsing, optimization, and execution phases.The query cache tracks each table involved in

1. BackgroundMysql/innodb's locking analysis has been a difficult topic. In the course of my work, my colleagues have often consulted on this issue. At the same time, the micro-blog also often receive the MySQL lock-related private messages, let me

Background Mysql/innodb's locking analysis has been a difficult topic. In the course of my work, my colleagues have often consulted on this issue. At the same time, the micro-blog also often receive the MySQL lock-related private messages, let

Recently in the collation of the database of slow SQL, but also query the relevant information. Record, learn to use the execution plan to analyze SQL.1. Optimize your query for query cachingMost MySQL servers have query caching turned on. This is

http://blog.chinaunix.net/space.php?uid=374372&do=blog&id=3085009Today, database operations are increasingly becoming a performance bottleneck for the entire application, which is especially noticeable for web applications. It's not just about the

I. IssuesDatabase code: UTF8UTF8 COLLATE Utf8_general_ci;Table code: UTF8drop table if exists ' test ', create table ' Test ' (' ID ' bigint () not NULL auto_increment COMMENT ' id ', ' name ' varchar (d) Efault ', ' create_time ' timestamp not NULL

Link Address: http://hedengcheng.com/?p=7711 background 11.1 Mvcc:snapshot Read vs current Read 21.2 Cluster Index: Clustered Indexes 31.3 2pl:two-phase Locking 31.4 Isolation Level 42 A simple SQL Lock implementation Analysis 52.1 Combination one:

I. What is an index?Indexes are used to quickly look for records with specific values, and all MySQL indexes are saved as B-trees. If there is no index, MySQL must start scanning all records of the entire table from the first record until it finds a

1. BackgroundMySQL's cluster solution has a lot of official and third-party choices, and choosing more is a hassle, so we consider the MySQL database to meet the next three requirements and explore viable solutions on the market:High availability:

1 principleThe MySQL query cache saves the full result returned by the query. When the query hits the cache, the results are returned immediately, skipping the parsing, optimization, and execution phases.The query cache tracks each table involved in

Today, database operations are increasingly becoming a performance bottleneck for the entire application, which is especially noticeable for web applications. It's not just about the performance of the database that DBAs need to worry about, it's

Today, database operations are increasingly becoming a performance bottleneck for the entire application, which is especially noticeable for web applications. It's not just about the performance of the database that DBAs need to worry about, it's

First describe the cause of this problem, suppose there is a table, which holds the trade orders, each order has a unique ID, the last update time, and the data, the details are as follows:+-------+----------+------+-----+---------------------+------

--mysql How to record Binlog-------------------------------2014/07/08contents of the Binlog file log event MySQL's Binlog file is a record of various modifications to the database that represent the data structure of the modification operation as

Address of this articleShare an outline:1. Optimize your query for query caching 2. EXPLAIN your SELECT query 3. Use LIMIT 1 4 when only one row of data is used. Jianjian index 5 for search word. In the join table, use a fairly type of example and