第一次运行此sql时,需要39秒,再次运行并增加SQL_NO_CACHE时,它似乎没有生效:
mysql> select count(*) from `deal_expired` where `site`=8&&`area`=122 && endtime<1310444996056; +----------+ | count(*) | +----------+ | 497 | +----------+ 1 row in set (39.55 sec) mysql> select SQL_NO_CACHE count(*) from `deal_expired` where `site`=8&&`area`= 122 && endtime<1310444996056; +----------+ | count(*) | +----------+ | 497 | +----------+ 1 row in set (0.16 sec)
我在这里尝试了多种方法
甚至重新启动mysql服务器或更改表名,但我仍然不能让39秒运行此SQL
我替换了另一个SQL,并在第一次运行SQL_NO_CACHE上增加了一个,问题是一样的:
mysql> select SQL_NO_CACHE count(*) from `deal_expired` where `site`=25&&`area`= 134 && endtime<1310483196227; +----------+ | count(*) | +----------+ | 315 | +----------+ 1 row in set (2.17 sec) mysql> select SQL_NO_CACHE count(*) from `deal_expired` where `site`=25&&`area`= 134 && endtime<1310483196227; +----------+ | count(*) | +----------+ | 315 | +----------+ 1 row in set (0.01 sec)
是什么原因?如何获得相同的SQL运行时?
我想找到一种方法来优化此SQL以执行39秒
顺便说一句:RESET QUERY CACHE FLUSH QUERY CACHE FLUSH TABLES SET SESSION query_cache_type=off不起作用
RESET QUERY CACHE
FLUSH QUERY CACHE
FLUSH TABLES
SET SESSION query_cache_type=off
mysql状态缓存已关闭:
mysql> SHOW STATUS LIKE "Qcache%"; +-------------------------+-------+ | Variable_name | Value | +-------------------------+-------+ | Qcache_free_blocks | 0 | | Qcache_free_memory | 0 | | Qcache_hits | 0 | | Qcache_inserts | 0 | | Qcache_lowmem_prunes | 0 | | Qcache_not_cached | 0 | | Qcache_queries_in_cache | 0 | | Qcache_total_blocks | 0 | +-------------------------+-------+ 8 rows in set (0.04 sec) mysql> select count(*) from `deal_expired` where `site`=25&&`area`=134 && endtime<1310 483196227; +----------+ | count(*) | +----------+ | 315 | +----------+ 1 row in set (0.01 sec) mysql> SHOW STATUS LIKE "Qcache%"; +-------------------------+-------+ | Variable_name | Value | +-------------------------+-------+ | Qcache_free_blocks | 0 | | Qcache_free_memory | 0 | | Qcache_hits | 0 | | Qcache_inserts | 0 | | Qcache_lowmem_prunes | 0 | | Qcache_not_cached | 0 | | Qcache_queries_in_cache | 0 | | Qcache_total_blocks | 0 | +-------------------------+-------+ 8 rows in set (0.00 sec)
解释此SQL,使用的站点+结束时间复合索引(名为site_endtime):
mysql> explain select count(*) from `deal_expired` where `site`=8&&`area`=122 && endti me<1310444996056; +--------+------+-------------------------------+--------------+---------+------ -+------+-------------+ | table | type | possible_keys | key | key_len | ref | rows | Extra | +--------+------+-------------------------------+--------------+---------+------ -+------+-------------+ | deal_expired | ref | name,url,endtime,site_endtime | site_endtime | 4 | const | 353 | Using where | +--------+------+-------------------------------+--------------+---------+------ -+------+-------------+ 1 row in set (0.00 sec)
答案为“如何获得相同的SQL运行时?” 是-您不能。如果您的查询读取了某些行,则根据使用的存储引擎对其进行缓存,这些行将位于OS缓存(myisam)或缓冲池(innodb)中。如果缓存了行,则第二次运行相同的查询会更快,因为MySQL不必从磁盘读取数据。