《Mysql必读MySQL数据库中把int转化varchar引发的慢查询》要点:
本文介绍了Mysql必读MySQL数据库中把int转化varchar引发的慢查询,希望对您有用。如果有疑问,可以联系我们。
MYSQL学习最近一周接连处理了2个由于int向varchar转换无法使用索引,从而引发的慢查询.
MYSQL学习
CREATE TABLE `appstat_day_prototype_201305` (
`day_key` date NOT NULL DEFAULT '1900-01-01',
`appkey` varchar(20) NOT NULL DEFAULT '',
`user_total` bigint(20) NOT NULL DEFAULT '0',
`user_activity` bigint(20) NOT NULL DEFAULT '0',
`times_total` bigint(20) NOT NULL DEFAULT '0',
`times_activity` bigint(20) NOT NULL DEFAULT '0',
`incr_login_daily` bigint(20) NOT NULL DEFAULT '0',
`unbind_total` bigint(20) NOT NULL DEFAULT '0',
`unbind_activitys` bigint(20) NOT NULL DEFAULT '0',
PRIMARY KEY (`appkey`,`day_key`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8
mysql> explain SELECT * from appstat_day_prototype_201305 where appkey = xxxxx and day_key between '2013-05-23' and '2013-05-30';
+----+-------------+------------------------------+------+---------------+------+---------+------+----------+-------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+------------------------------+------+---------------+------+---------+------+----------+-------------+
| 1 | SIMPLE | appstat_day_prototype_201305 | ALL | PRIMARY | NULL | NULL | NULL | 19285787 | Using where |
+----+-------------+------------------------------+------+---------------+------+---------+------+----------+-------------+
1 row in set (0.00 sec)
mysql> explain SELECT * from appstat_day_prototype_201305 where appkey = 'xxxxx' and day_key between '2013-05-23' and '2013-05-30';
+----+-------------+------------------------------+-------+---------------+---------+---------+------+------+-------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+------------------------------+-------+---------------+---------+---------+------+------+-------------+
| 1 | SIMPLE | appstat_day_prototype_201305 | range | PRIMARY | PRIMARY | 65 | NULL | 1 | Using where |
+----+-------------+------------------------------+-------+---------------+---------+---------+------+------+-------------+
1 row in set (0.00 sec)
MYSQL学习从上面可以很明显的看到由于appkey是varchar,而在where条件中不加'',会引发全表查询,加了就可以用到索引,这扫描的行数可是天差地别,对于服务器的压力和响应时间自然也是天差地别的.
MYSQL学习我们再看另外一个例子:
MYSQL学习
*************************** 1. row ***************************
Table: poll_joined_151
Create Table: CREATE TABLE `poll_joined_151` (
`poll_id` bigint(11) NOT NULL,
`uid` bigint(11) NOT NULL,
`item_id` varchar(60) NOT NULL,
`add_time` int(11) NOT NULL DEFAULT '0',
`anonymous` tinyint(1) NOT NULL DEFAULT '0',
`sub_item` varchar(1200) NOT NULL DEFAULT '',
KEY `idx_poll_id_uid_add_time` (`poll_id`,`uid`,`add_time`),
KEY `idx_anonymous_id_addtime` (`anonymous`,`poll_id`,`add_time`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8
SELECT * FROM poll_joined_151 WHERE poll_id = '2348993' AND anonymous =0 ORDER BY add_time DESC LIMIT 0 , 3
*************************** 1. row ***************************
id: 1
select_type: SIMPLE
table: poll_joined_151
type: ref
possible_keys: idx_poll_id_uid_add_time,idx_anonymous_id_addtime
key: idx_anonymous_id_addtime
key_len: 9
ref: const,const
rows: 30240
Extra: Using where
MYSQL学习从上面的例子看,虽然poll_id的类型为bigint,但是SQL中添加了'',但是这个语句仍然用到了索引,虽然扫描行数也不少,但是能用到索引就是好SQL.
MYSQL学习那么一个小小的''为什么会有这么大的影响呢?根本原因是因为MySQL在对文本类型和数字类型进行比较的时候会进行隐式的类型转换.
MYSQL学习以下是5.5官方手册的说明:
MYSQL学习
If both arguments in a comparison operation are strings, they are compared as strings.
两个参数都是字符串,会依照字符串来比较,不做类型转换.
If both arguments are integers, they are compared as integers.
两个参数都是整数,依照整数来比较,不做类型转换.
Hexadecimal values are treated as binary strings if not compared to a number.
十六进制的值和非数字做比较时,会被当做二进制串.
If one of the arguments is a TIMESTAMP or DATETIME column and the other argument is a constant, the constant is converted to a timestamp before the comparison is performed. This is done to be more ODBC-friendly. Note that this is not done for the arguments to IN()! To be safe, always use complete datetime, date, or time strings when doing comparisons. For example, to achieve best results when using BETWEEN with date or time values, use CAST() to explicitly convert the values to the desired data type.
有一个参数是 TIMESTAMP 或 DATETIME,并且另外一个参数是常量,常量会被转换为 timestamp
If one of the arguments is a decimal value, comparison depends on the other argument. The arguments are compared as decimal values if the other argument is a decimal or integer value, or as floating-point values if the other argument is a floating-point value.
有一个参数是 decimal 类型,如果另外一个参数是 decimal 或者整数,会将整数转换为 decimal 后进行比较,如果另外一个参数是浮点数,则会把 decimal 转换为浮点数进行比较
In all other cases, the arguments are compared as floating-point (real) numbers.所有其他情况下,两个参数都会被转换为浮点数再进行比较
MYSQL学习根据以上的说明,当where条件之后的值的类型和表结构不一致的时候,MySQL会做隐式的类型转换,都将其转换为浮点数在比较.
MYSQL学习对于第一种情况:
MYSQL学习比如where string = 1;
MYSQL学习需要将索引中的字符串转换成浮点数,但是由于'1',' 1','1a'都会比转化成1,故MySQL无法使用索引只能进行全表扫描,故造成了慢查询的产生.
MYSQL学习
mysql> SELECT CAST(' 1' AS SIGNED)=1;
+-------------------------+
| CAST(' 1' AS SIGNED)=1 |
+-------------------------+
| 1 |
+-------------------------+
1 row in set (0.00 sec)
mysql> SELECT CAST(' 1a' AS SIGNED)=1;
+--------------------------+
| CAST(' 1a' AS SIGNED)=1 |
+--------------------------+
| 1 |
+--------------------------+
1 row in set, 1 warning (0.00 sec)
mysql> SELECT CAST('1' AS SIGNED)=1;
+-----------------------+
| CAST('1' AS SIGNED)=1 |
+-----------------------+
| 1 |
+-----------------------+
1 row in set (0.00 sec)
MYSQL学习同时需要注意一点,由于都会转换成浮点数进行比较,而浮点数只有53bit,故当超过最大值的时候,比较会出现问题.
MYSQL学习对于第二种情况:
MYSQL学习由于索引建立在int的基础上,而将纯数字的字符串可以百分百转换成数字,故可以使用到索引,虽然也会进行一定的转换,消耗一定的资源,但是最终仍然使用了索引,不会产生慢查询.
MYSQL学习
mysql> select CAST( '30' as SIGNED) = 30;
+----------------------------+
| CAST( '30' as SIGNED) = 30 |
+----------------------------+
| 1 |
+----------------------------+
1 row in set (0.00 sec)
MYSQL学习以上所述是小编给大家介绍的MySQL数据库中把int转化varchar引发的慢查询 ,希望对大家有所赞助,如果大家有任何疑问请给我留言,小编会及时回复大家的.在此也非常感谢大家对维易PHP网站的支持!
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