table cache mysql

Redis for beginners (2) -- using Redis as the Mysql database cache, redismysql Two problems must be solved when Redis is used as the Mysql database cache. First, determine the data structure used to store data from Mysql. After determining the data structure, consider the id

considered to be different queries and are cached separately. 2. Query cache related parametersMySQL>like'%query_cache%'; 3. A simple example:MySQL> use zzlp; MySQL> show Tables; MySQL>Selectcount(*fromuser; #Qcache_hits表示sql查询在缓存中命中的累计次数, is the cumulative value of mysql>like'qcache _hits'; #连续查询两次

The MySQL query cache saves the full results of the query return. When the query hits the cache, the result is immediately returned, skipping the parsing, optimization, and execution phases. The query cache tracks each table involved in the query, and if the

MySQL Status View qps/tps/cache Hit rate view running MySQL Status View monitor running MySQL, one way is to view MySQL running status. (1) QPS (query amount per second) qps = Questions (or Queries)/secondsmysql > show global status Like ' question% '; (2) TPS (transaction

Two problems must be solved when Redis is used as the Mysql database cache. First, determine the data structure used to store data from Mysql. After determining the data structure, consider the identifier used as the key of the data structure. Intuitively, data in Mysql is stored by

;+----+---------+----------+|id| classid|courseid|+----+---------+----------+|1| 1|2| | 2|1| 5| | 3|2| 2| | 4|2|6| | 5|3| 1| | 6|3| 7| | 7|4| 5| | 8|4| 2| | 9|5| 1| | 10|5| 9| | 11|6| 3| | 12|6|4| | 13|7| 4| | 14|7| 3|+----+---------+----------+14rowsinset (0.00sec) mariadb[ hellodb]>showglobalstatuslike ' qcache% '; +-------------------------+----------- +|variable_name|value |+-------------------------+-----------+|qcache_free_blocks |1| | qcache_free_memory|134198384| | Qcache_hits|1 | | Qcac

Label:Knowledge Preparation: 1. What is the query-cache of MySQL? MySQL can cache the execution of the SELECT statement and the result set corresponding to the SELECT statement, and return the result directly the next time the same SELECT statement is invoked, instead of executing the SELECT statement again. Due to the

that the two are associated. So the foreign key must be created from the table to find the connection to the primary table , and the table is responsible for maintaining the relationship between the two.We will first use the following command to create the department table and staff

; Select Count(*) fromanimals; +----------+ | Count(*)| +----------+ | 6 | +----------+ 1Rowinch Set(0.00sec) MySQL> Select Count(*) fromanimals; +----------+ | Count(*)| +----------+ | 6 | +----------+ 1Rowinch Set(0.00sec) MySQL>SHOW STATUS like 'qcache_hits'; +---------------+-------+ |Variable_name|Value| +---------------+-------+ |Qcache_hits| 3 | --the above SQL is

Mysql caches the same SQL statement and completes it in an instant during the second run. to clear the cache, you can use the following method to optimize an SQL statement, it was found that a slow SQL statement (nearly 1 minute) was completed in an instant during the second operation (0.00sec) This is because mysql caches the same SQL statement. the server di

Label:MySQL Memory structure InnoDB Primary index is clustered index, index and data common table space, for InnoDB, data is index, index is data. The biggest difference between the InnoDB cache mechanism and the MyISAM cache mechanism is that INNODB is not just a cache index, but also caches the data. InnoDB

Tags: pros and cons MySQL client information benefitsQuery Cache principleWhen MySQL receives a select type of query, MySQL hashes the query to get a hash value and then matches the hash value to the query cache, if there is no match, The hash value is stored in a hash list,

Label: to use Redis as a MySQL database cache, 2 issues must be resolved. First, you should determine what data structure is used to store your MySQL-based information, and after determining the data structure, consider what identity is used as the key to the data structure. Visually, the data in MySQL is stored on a