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缓存机制简单的说就是缓存sql文本及查询结果,如果运行相同的sql,服务器直接从缓存中取到结果,而不需要再去解析和执行sql。如果表更改了,那么使用这个表的所有缓冲查询将不再有效,查询缓存值的相关条目被清空。更改指的是表中任何数据或是结构的改变,包括INSERT、UPDATE、DELETE、TRUNCATE、ALTER TABLE、DROP TABLE或DROP DATABASE等,也包括那些映射到改变了的表的使用MERGE表的查询。显然,这对于频繁更新的表,查询缓存是不适合的,而对于一些不常改变数据且有大量相同sql查询的表,查询缓存会节约很大的性能。
查询必须是完全相同的(逐字节相同)才能够被认为是相同的。另外,同样的查询字符串由于其它原因可能认为是不同的。使用不同的数据库、不同的协议版本或者不同 默认字符集的查询被认为是不同的查询并且分别进行缓存。
下面sql查询缓存认为是不同的:
SELECT * FROM tbl_name
Select * from tbl_name
查询缓存相关参数
mysql> SHOW VARIABLES LIKE ’%query_cache%’;
+------------------------------+---------+
| Variable_name | Value |
+------------------------------+---------+
| have_query_cache | YES | --查询缓存是否可用
| query_cache_limit | 1048576 | --可缓存具体查询结果的最大值
| query_cache_min_res_unit | 4096 |
| query_cache_size | 599040 | --查询缓存的大小
| query_cache_type | ON | --阻止或是支持查询缓存
| query_cache_wlock_invalidate | OFF |
+------------------------------+---------+
下面是一个简单的例子:
[mysql@csdba1850 ~]$ mysql -u root -p
Enter password:
Welcome to the MySQL monitor. Commands end with ; or g.
Your MySQL connection id is 3
Server version: 5.0.45-community MySQL Community Edition (GPL)
Type ’help;’ or ’h’ for help. Type ’c’ to clear the buffer.
mysql> set global query_cache_size = 600000; --设置缓存内存
Query OK, 0 rows affected (0.00 sec)
mysql> set session query_cache_type = ON; --开启查询缓存
Query OK, 0 rows affected (0.00 sec)
mysql> use test
Reading table information for completion of table and column names
You can turn off this feature to get a quicker startup with -A
Database changed
mysql> show tables;
+----------------+
| Tables_in_test |
+----------------+
| animals |
| person |
+----------------+
5 rows in set (0.00 sec)
mysql> select count(*) from animals;
+----------+
| count(*) |
+----------+
| 6 |
+----------+
1 row in set (0.00 sec)
--Qcache_hits表示sql查询在缓存中命中的累计次数,是累加值。
mysql> SHOW STATUS LIKE ’Qcache_hits’;
+---------------+-------+
| Variable_name | Value |
+---------------+-------+
| Qcache_hits | 0 | --0次

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MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL is suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance and transaction processing.

InnoDB effectively prevents phantom reading through Next-KeyLocking mechanism. 1) Next-KeyLocking combines row lock and gap lock to lock records and their gaps to prevent new records from being inserted. 2) In practical applications, by optimizing query and adjusting isolation levels, lock competition can be reduced and concurrency performance can be improved.


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