第一次运行这个sql，需要39秒，再次运行增加SQL_NO_CACHE，好像没有生效:

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)

我尝试了多种方法，here

甚至重启mysql服务器或更改表名，但我仍然不能让39秒运行这条SQL

我换了另一个SQL，并在第一次运行时增加了SQL_NO_CACHE，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这个 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

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)

解释这个SQL，使用site+endtime复合索引(命名为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)

最佳答案

第一个查询应该使用 SQL_NO_CACHE 告诉 MySQL 不要将 结果 放入缓存。第二个查询使用缓存，告诉 MySQL 不要缓存该查询的结果，它什么也不做。

tl;dr - 反转您的查询。

关于mysql - SQL_NO_CACHE 不起作用，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/6666631/