- 浏览: 93129 次
文章分类
最新评论
-
307483857:
微软不给他们钱,他们也会这么干的,,,这不明摆着的事情吗,不支 ...
硬件厂商正配合微软强制我们使用WIN7,WIN8! -
shishangq:
晕,好多种关系都没用过。。。
Hibernate映射解析——七种映射关系 -
hongqiang:
不错@~写的很详细
Hibernate映射解析——七种映射关系 -
lucky16:
还是比较详细的...
Hibernate映射解析——七种映射关系 -
巴巴米:
用的竟然是rose吗。。好久没见过这个东西了。
Hibernate映射解析——七种映射关系
Masql的MyISAM引擎 count(*)与count(col)对比
不带where的条件下:
使用的是Server version: 5.1.34 MySQL Community Server (GPL)
使用count(*)执行结果
mysql> select count(*) from my_cms_25;
+----------+
| count(*) |
+----------+
| 1022711 |
+----------+
1 row in set (0.00 sec)
mysql> show profiles;
+----------+------------+--------------------------------+
| Query_ID | Duration | Query |
+----------+------------+--------------------------------+
| 1 | 0.00027000 | select count(*) from my_cms_25 |
+----------+------------+--------------------------------+
使用count(id)执行结果:
mysql> select count(id) from my_cms_25;
+-----------+
| count(id) |
+-----------+
| 1022711 |
+-----------+
1 row in set (0.00 sec)
mysql> show profiles;
+----------+------------+---------------------------------+
| Query_ID | Duration | Query |
+----------+------------+---------------------------------+
| 1 | 0.00027800 | select count(id) from my_cms_25 |
+----------+------------+---------------------------------+
1 row in set (0.00 sec)
为了保证cache,每次执行一条语句,就把mysql重启动.
mysql> select count(x_rank) from my_cms_25;
+---------------+
| count(x_rank) |
+---------------+
| 1022711 |
+---------------+
1 row in set (0.00 sec)
mysql> show profiles;
+----------+------------+-------------------------------------+
| Query_ID | Duration | Query |
+----------+------------+-------------------------------------+
| 1 | 0.00029200 | select count(x_rank) from my_cms_25 |
+----------+------------+-------------------------------------+
1 row in set (0.00 sec)
count(*)比其他两种都快, 不管是count(*), count(id)还是count(x_rank) 执行时间差的不是太多.
注: id是primary key, x_rank是非index.
带where从句:
mysql> select count(*) from my_cms_25 where id > 100000;
+----------+
| count(*) |
+----------+
| 922711 |
+----------+
1 row in set (0.55 sec)
mysql> show profiles;
+----------+------------+--------------------------------------------------+
| Query_ID | Duration | Query |
+----------+------------+--------------------------------------------------+
| 1 | 0.54154100 | select count(*) from my_cms_25 where id > 100000 |
+----------+------------+--------------------------------------------------+
1 row in set (0.00 sec)
mysql> select count(id) from my_cms_25 where id > 100000;
+-----------+
| count(id) |
+-----------+
| 922711 |
+-----------+
1 row in set (0.52 sec)
mysql> show profiles;
+----------+------------+---------------------------------------------------+
| Query_ID | Duration | Query |
+----------+------------+---------------------------------------------------+
| 1 | 0.51955100 | select count(id) from my_cms_25 where id > 100000 |
+----------+------------+---------------------------------------------------+
1 row in set (0.00 sec)
mysql> select count(*) from my_cms_25 where id > 100;
+----------+
| count(*) |
+----------+
| 1022611 |
+----------+
1 row in set (0.60 sec)
mysql> show profiles;
+----------+------------+-----------------------------------------------+
| Query_ID | Duration | Query |
+----------+------------+-----------------------------------------------+
| 1 | 0.59619000 | select count(*) from my_cms_25 where id > 100 |
+----------+------------+-----------------------------------------------+
1 row in set (0.00 sec)
mysql> select count(id) from my_cms_25 where id > 100;
+-----------+
| count(id) |
+-----------+
| 1022611 |
+-----------+
1 row in set (0.57 sec)
mysql> show profiles;
+----------+------------+------------------------------------------------+
| Query_ID | Duration | Query |
+----------+------------+------------------------------------------------+
| 1 | 0.57422700 | select count(id) from my_cms_25 where id > 100 |
+----------+------------+------------------------------------------------+
1 row in set (0.00 sec)
mysql> select count(x_rank) from my_cms_25 where id > 100;
+---------------+
| count(x_rank) |
+---------------+
| 1022611 |
+---------------+
1 row in set (1.31 sec)
mysql> show profiles;
+----------+------------+----------------------------------------------------+
| Query_ID | Duration | Query |
+----------+------------+----------------------------------------------------+
| 1 | 1.30890800 | select count(x_rank) from my_cms_25 where id > 100 |
+----------+------------+----------------------------------------------------+
1 row in set (0.00 sec)
带where条件的, 测试的结果count(id) > count(*) > count(x_rank)
就是说,count(*)不一定比count(pk)快.
对于innodb engine的, 叶兄做了一个测试,自己也做了一个测试,测试结果不相同:
http://imysql.cn/2008_06_24_speedup_innodb_count
http://bugs.mysql.com/bug.php?id=19271
使用的版本:Server version: 5.1.30-log Source distribution
mysql> select count(*) from relation;
+----------+
| count(*) |
+----------+
| 3010500 |
+----------+
1 row in set (10.60 sec)
mysql> show profiles;
+----------+-------------+-------------------------------+
| Query_ID | Duration | Query |
+----------+-------------+-------------------------------+
| 1 | 10.59423300 | select count(*) from relation |
+----------+-------------+-------------------------------+
1 row in set (0.01 sec)
mysql> select count(id) from relation;
+-----------+
| count(id) |
+-----------+
| 3010329 |
+-----------+
1 row in set (3.87 sec)
mysql> show profiles;
+----------+------------+--------------------------------+
| Query_ID | Duration | Query |
+----------+------------+--------------------------------+
| 1 | 3.87004700 | select count(id) from relation |
+----------+------------+--------------------------------+
1 row in set (0.00 sec)
mysql> select count(*) from relation where id>100;
+----------+
| count(*) |
+----------+
| 3010158 |
+----------+
1 row in set (1.03 sec)
mysql> show profiles;
+----------+------------+--------------------------------------------+
| Query_ID | Duration | Query |
+----------+------------+--------------------------------------------+
| 1 | 3.87004700 | select count(id) from relation |
| 2 | 1.03079800 | select count(*) from relation where id>100 |
+----------+------------+--------------------------------------------+
mysql> show profiles;
+----------+------------+--------------------------------------------------+
| Query_ID | Duration | Query |
+----------+------------+--------------------------------------------------+
| 1 | 3.87004700 | select count(id) from relation |
| 2 | 1.03079800 | select count(*) from relation where id>100 |
| 3 | 1.01789300 | select count(id) from relation where id>100 |
| 4 | 1.32853100 | select count(*) from relation where infoid > 100 |
+----------+------------+--------------------------------------------------+
测试结果不全相同. 不管带不带where条件时count(pk)是比count(*)快的.
count(secondary key) 是没有count(pk)快的。难道bug fix了在5.1.30?
感觉应该是pk的存储结构和secondary key不同.这个和官方说的符合,primary key的scan是最快的原因吧.
从mysql query optimizer角度上说, count(*) 需要mysql分析更多的column,这个是有一定的overhead的。
但直接count(pk)就没有分析的这个开销.:)
下面是更详细,可以看出慢在那一步:
在myisam engine上:
mysql> select count(*) from my_cms_25;
+----------+
| count(*) |
+----------+
| 1022711 |
+----------+
1 row in set (0.00 sec)
mysql> show profile;
+--------------------------------+----------+
| Status | Duration |
+--------------------------------+----------+
| starting | 0.000033 |
| checking query cache for query | 0.000088 |
| Opening tables | 0.000014 |
| System lock | 0.000005 |
| Table lock | 0.000026 |
| init | 0.000033 |
| optimizing | 0.000013 |
| executing | 0.000015 |
| end | 0.000004 |
| query end | 0.000003 |
| freeing items | 0.000024 |
| storing result in query cache | 0.000012 |
| logging slow query | 0.000003 |
| cleaning up | 0.000004 |
+--------------------------------+----------+
14 rows in set (0.00 sec)
mysql> show profiles;
+----------+------------+--------------------------------+
| Query_ID | Duration | Query |
+----------+------------+--------------------------------+
| 1 | 0.00027700 | select count(*) from my_cms_25 |
+----------+------------+--------------------------------+
1 row in set (0.00 sec)
mysql> select count(id) from my_cms_25;
+-----------+
| count(id) |
+-----------+
| 1022711 |
+-----------+
1 row in set (0.00 sec)
mysql> show profile;
+--------------------------------+----------+
| Status | Duration |
+--------------------------------+----------+
| starting | 0.000056 |
| checking query cache for query | 0.000077 |
| Opening tables | 0.000014 |
| System lock | 0.000005 |
| Table lock | 0.000025 |
| init | 0.000047 |
| optimizing | 0.000014 |
| executing | 0.000015 |
| end | 0.000004 |
| query end | 0.000003 |
| freeing items | 0.000027 |
| storing result in query cache | 0.000011 |
| logging slow query | 0.000004 |
| cleaning up | 0.000003 |
+--------------------------------+----------+
14 rows in set (0.00 sec)
mysql> show profiles;
+----------+------------+---------------------------------+
| Query_ID | Duration | Query |
+----------+------------+---------------------------------+
| 1 | 0.00030500 | select count(id) from my_cms_25 |
+----------+------------+---------------------------------+
1 row in set (0.00 sec)
innodb engine:
mysql> select count(*) from sbtest;
+----------+
| count(*) |
+----------+
| 1000000 |
+----------+
1 row in set (1.98 sec)
mysql> show profile;
+--------------------------------+----------+
| Status | Duration |
+--------------------------------+----------+
| starting | 0.000041 |
| checking query cache for query | 0.000082 |
| Opening tables | 0.000015 |
| System lock | 0.000004 |
| Table lock | 0.000042 |
| init | 0.000033 |
| optimizing | 0.000012 |
| statistics | 0.000014 |
| preparing | 0.000010 |
| executing | 0.000009 |
| Sending data | 1.987284 |
| end | 0.000019 |
| query end | 0.000010 |
| freeing items | 0.000078 |
| storing result in query cache | 0.000016 |
| logging slow query | 0.000005 |
| cleaning up | 0.000008 |
+--------------------------------+----------+
17 rows in set (0.00 sec)
mysql> show profiles;
+----------+------------+-----------------------------+
| Query_ID | Duration | Query |
+----------+------------+-----------------------------+
| 1 | 1.98768200 | select count(*) from sbtest |
+----------+------------+-----------------------------+
1 row in set (0.00 sec)
mysql> select count(id) from sbtest;
+-----------+
| count(id) |
+-----------+
| 1000000 |
+-----------+
1 row in set (1.99 sec)
mysql> show profile;
+--------------------------------+----------+
| Status | Duration |
+--------------------------------+----------+
| starting | 0.000034 |
| checking query cache for query | 0.000079 |
| Opening tables | 0.000015 |
| System lock | 0.000005 |
| Table lock | 0.000042 |
| init | 0.000037 |
| optimizing | 0.000013 |
| statistics | 0.000013 |
| preparing | 0.000010 |
| executing | 0.000021 |
| Sending data | 1.982898 |
| end | 0.000021 |
| query end | 0.000009 |
| freeing items | 0.000089 |
| storing result in query cache | 0.000017 |
| logging slow query | 0.000006 |
| cleaning up | 0.000010 |
+--------------------------------+----------+
17 rows in set (0.00 sec)
mysql> show profiles;
+----------+------------+------------------------------+
| Query_ID | Duration | Query |
+----------+------------+------------------------------+
| 1 | 1.98331900 | select count(id) from sbtest |
+----------+------------+------------------------------+
1 row in set (0.00 sec)
发表评论
-
Oracle SQL*PLUS与用户操作相关的常用命令
2012-04-22 15:31 7471.增加数据库用户:(user01/pwd) [sq ... -
数据库系统依然很神秘
2012-04-22 15:30 852最先听到“数据库”这三个字是大一时,在没有接触一门技术前,总 ... -
处理百万级以上的数据处理
2012-04-20 21:24 1163处理百万级以上的数据提高查询速度的方法: 1.应尽量 ... -
ORACLE常用傻瓜問題1000問(之五)
2012-04-21 21:41 648大家在應用ORACL ... -
ORACLE常用傻瓜問題1000問(之四)
2012-04-21 21:41 634大家在應用ORACLE的時候可能會遇到很多看起來不難 ... -
ORACLE常用傻瓜問題1000問(之三)
2012-04-21 21:41 618大家在應用ORACLE的時候可能會遇到很多看起來 ... -
ORACLE常用傻瓜問題1000問(之二)
2012-04-21 21:41 745大家在應用ORACLE的時候可能會遇到很多看 ... -
ORACLE常用傻瓜問題1000問(之一)
2012-04-21 21:40 706大家在應用ORACLE的時候可能會遇到很多看起來 ... -
java.lang.ClassCastException: oracle.sql.CLOB
2012-04-18 00:11 896oracle.sql.CLOB clob =null; ... -
Oracle看重Java疏远Sun Cloud
2012-04-18 00:10 712Oracle发布的关于Java和Sun Cloud公共计 ... -
How To Install Oracle Java 7 (JDK) In Ubuntu(or linuxdeepin12)
2012-04-18 00:09 1058As you probably know, Oracle ... -
oracle Java源定时执行exe程序
2012-04-18 00:08 1459create or replace and compil ... -
java-oracle 调用程序包
2012-04-18 00:08 1140import java.sql.CallableSta ... -
Flash Recovery Area空间不足导致数据库不能打开或hang住
2012-04-16 21:56 1066ORA-16014错误解决办法 1.问题以及解决过程 SQL& ... -
SQL 优化34条建议
2012-04-16 21:56 782SQL 优化34条建议(1) 选择最有效率的表名顺序(只在基 ... -
Oracle SQL的优化
2012-04-16 21:55 806SQL的优化应该从5个方面进行调整:1.去掉不必要的 ... -
Oracle SQL Loader
2012-04-16 21:54 742一:SQL Loader 的特点 oracle自己带了很多的工 ... -
Oracle 检查命中率的SQL
2012-04-16 21:53 844在数据库启动2小时后,可以通过以下SQL来测试数据库 ...
相关推荐
COUNT(1)看起来与COUNT(*)相似,但实际上它们在内部处理上略有不同。COUNT(1)表示统计每一行,无论该行的任何列的值是否为NULL。尽管在大多数情况下,COUNT(*)和COUNT(1)的结果相同,但理论上COUNT(1)可能会稍快一些...
2. **COUNT(DISTINCT col_name)**:返回列中不同值的数量。 3. **SUM(col_name/expression)**:计算表达式的总和。 4. **SUM(DISTINCT col_name)**:计算不同值的总和。 5. **AVG(col_name/expression)**:计算...
2. **COUNT(DISTINCT col_name)**:返回指定列中唯一值的数量。 - 例如:`SELECT COUNT(DISTINCT col_name) FROM table_name;` 3. **SUM(col_name/expression)**:返回指定列或表达式的总和。 - 例如:`SELECT ...
1、COUNT(*)和COUNT(COL) COUNT(*)通常是对主键进行索引扫描,而COUNT(COL)就不一定了,另外前者是统计表中的所有符合的纪录总数,而后者是计算表中所有符合的COL的纪录数。还有有区别的。 优化总结,对于MyISAM表...
- **语法**: `SELECT COUNT(col1) AS ali1 FROM tab1 WHERE col2 = val1;` - **说明**: 计算表`tab1`中满足`col2 = val1`条件的`col1`的数量。 - **应用场景**: 当需要统计特定条件下某列的记录数量时使用。 **11.2...
- **count**: 统计行数,`count(*)`包括所有行,`count(字段)`排除NULL值的行,`count(常量)`与`count(*)`效果相同。 - **HAVING子句**:用于过滤GROUP BY之后的汇总数据,与WHERE子句不同,HAVING可以用于聚合函数...
(3)select count(col_name)方式 分别使用 select count(group_id) select count(user_id) select count(col_null) 通过上述测试结果可以看到,select count(*)和select count(1)都使用了group_id这个最短
当我们在表中对列col1、col2和col3建立一个名为test_col1_col2_col3的联合索引时,实际上创建了三个独立的索引:(col1)、(col1,col2)和(col1,col2,col3)。这种索引结构被称为最左前缀匹配原则,意味着查询语句在使用...
- **COUNT(col)**: 计算指定列`col`中非空值的数量。 - **MIN(col)**: 返回指定列`col`中的最小值。 - **MAX(col)**: 返回指定列`col`中的最大值。 - **SUM(col)**: 返回指定列`col`中所有值的总和。 - **GROUP_...
十分好的资源 建议大家一定掌握 例如 -合并处理 SELECT col1, col2=CAST(MIN(col2)as varchar) ... WHEN COUNT(*)>=2 THEN ','+CAST(MAX(col2)as varchar) ELSE '' END FROM tb a GROUP BY col1 DROP TABLE tb
4. **查询重复记录**:`SELECT col_a, col_b, col_c, COUNT(*) FROM table_a HAVING COUNT(*) > 1 GROUP BY col_a, col_b, col_c`这条查询可以找出`table_a`中具有相同`col_a`, `col_b`, 和 `col_c`值的所有重复记录...
int select_callback(void *data,int col_count,char **col_values,char **col_name){ //每条记录回调一次该函数,有多少条就回调多少次 int i; for(i=0;i<col_count;i++) { printf(“%s=%s\n”,col_name[i]...
SELECT col1, col2, COUNT(*) FROM table GROUP BY col1, col2 HAVING COUNT(*) > 1; ``` 12. **删除重复记录**: ```sql DELETE FROM Table a WHERE a.rowid > ANY(SELECT b.rowid FROM table b WHERE a....
SELECT * FROM table WHERE col1 = 5 AND col2 = 3; ``` ##### 2. 逻辑或操作 `OR` 用于组合两个条件语句,只要有一个条件为真就返回真。 **示例**: ```sql SELECT * FROM table WHERE col1 = 5 OR col2 = 3; ``` ...