时间:2021-06-10 08:26:28 | 栏目:Mysql | 点击:次
前言
相信大家都知道隐式类型转换有无法命中索引的风险,在高并发、大数据量的情况下,命不中索引带来的后果非常严重。将数据库拖死,继而整个系统崩溃,对于大规模系统损失惨重。所以下面通过本文来好好学习下MySQL隐式类型的转换陷阱和规则。
1. 隐式类型转换实例
今天生产库上突然出现MySQL线程数告警,IOPS很高,实例会话里面出现许多类似下面的sql:(修改了相关字段和值)
SELECT f_col3_id,f_qq1_id FROM d_dbname.t_tb1 WHERE f_col1_id=1226391 and f_col2_id=1244378 and f_qq1_id in (12345,23456,34567,45678,56789,67890,78901,89012,90123,901231,901232,901233)
用 explain 看了下扫描行数和索引选择情况:
mysql>explain SELECT f_col3_id,f_qq1_id FROM d_dbname.t_tb1 WHERE f_col1_id=1226391 and f_col2_id=1244378 and f_qq1_id in (12345,23456,34567,45678,56789,67890,78901,89012,90123,901231,901232,901233); +------+---------------+---------+--------+--------------------------------+---------------+------------+--------+--------+------------------------------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +------+---------------+---------+--------+--------------------------------+---------------+------------+--------+--------+------------------------------------+ | 1 | SIMPLE | t_tb1 | ref | uid_type_frid,idx_corpid_qq1id | uid_type_frid | 8 | const | 1386 | Using index condition; Using where | +------+---------------+---------+--------+--------------------------------+---------------+------------+--------+--------+------------------------------------+ 共返回 1 行记录,花费 11.52 ms.
t_tb1 表上有个索引uid_type_frid(f_col2_id,f_type)
、idx_corp_id_qq1id(f_col1_id,f_qq1_id)
,而且如果选择后者时,f_qq1_id
的过滤效果应该很佳,但却选择了前者。当使用 hint use index(idx_corp_id_qq1id)
时:
mysql>explain extended SELECT f_col3_id,f_qq1_id FROM d_dbname.t_tb1 use index(idx_corpid_qq1id) WHERE f_col1_id=1226391 and f_col2_id=1244378 and f_qq1_id in (12345,23456,34567,45678,56789,67890,78901,89012,90123,901231,901232,901233); +------+---------------+--------+--------+---------------------+------------------+------------+----------+-------------+------------------------------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +------+---------------+--------+--------+---------------------+------------------+------------+----------+-------------+------------------------------------+ | 1 | SIMPLE | t_tb1 | ref | idx_corpid_qq1id | idx_corpid_qq1id | 8 | const | 2375752 | Using index condition; Using where | +---- -+---------------+--------+--------+---------------------+------------------+------------+----------+-------------+------------------------------------+ 共返回 1 行记录,花费 17.48 ms. mysql>show warnings; +-----------------+----------------+-----------------------------------------------------------------------------------------------------------------------+ | Level | Code | Message | +-----------------+----------------+-----------------------------------------------------------------------------------------------------------------------+ | Warning | 1739 | Cannot use range access on index 'idx_corpid_qq1id' due to type or collation conversion on field 'f_qq1_id' | | Note | 1003 | /* select#1 */ select `d_dbname`.`t_tb1`.`f_col3_id` AS `f_col3_id`,`d_dbname`.`t_tb1`.`f_qq1_id` AS `f_qq1_id` from `d_dbname`.`t_tb1` USE INDEX (`idx_corpid_qq1id`) where | | | | ((`d_dbname`.`t_tb1`.`f_col2_id` = 1244378) and (`d_dbname`.`t_tb1`.`f_col1_id` = 1226391) and (`d_dbname`.`t_tb1`.`f_qq1_id` in | | | | (12345,23456,34567,45678,56789,67890,78901,89012,90123,901231,901232,901233))) | +-----------------+----------------+-----------------------------------------------------------------------------------------------------------------------+ 共返回 2 行记录,花费 10.81 ms.
rows列达到200w行,但问题也发现了:select_type
应该是 range
才对,key_len
看出来只用到了idx_corpid_qq1id
索引的第一列。上面explain使用了 extended
,所以show warnings;可以很明确的看到 f_qq1_id
出现了隐式类型转换:f_qq1_id
是varchar
,而后面的比较值是整型。
解决该问题就是避免出现隐式类型转换(implicit type conversion)带来的不可控:把f_qq1_id in
的内容写成字符串:
mysql>explain SELECT f_col3_id,f_qq1_id FROM d_dbname.t_tb1 WHERE f_col1_id=1226391 and f_col2_id=1244378 and f_qq1_id in ('12345','23456','34567','45678','56789','67890','78901','89012','90123','901231'); +-------+---------------+--------+---------+--------------------------------+------------------+-------------+---------+---------+------------------------------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +-------+---------------+--------+---------+--------------------------------+------------------+-------------+---------+---------+------------------------------------+ | 1 | SIMPLE | t_tb1 | range | uid_type_frid,idx_corpid_qq1id | idx_corpid_qq1id | 70 | | 40 | Using index condition; Using where | +-------+---------------+--------+---------+--------------------------------+------------------+-------------+---------+---------+------------------------------------+ 共返回 1 行记录,花费 12.41 ms.
扫描行数从1386减少为40。
类似的还出现过一例:
SELECT count(0) FROM d_dbname.t_tb2 where f_col1_id= '1931231' AND f_phone in(098890); | Warning | 1292 | Truncated incorrect DOUBLE value: '1512-98464356'
优化后直接从扫描rows 100w行降为1。
借这个机会,系统的来看一下mysql中的隐式类型转换。
2. mysql隐式转换规则
2.1 规则
下面来分析一下隐式转换的规则:
a. 两个参数至少有一个是 NULL
时,比较的结果也是 NULL
,例外是使用 <=> 对两个 NULL
做比较时会返回 1,这两种情况都不需要做类型转换
b. 两个参数都是字符串,会按照字符串来比较,不做类型转换
c. 两个参数都是整数,按照整数来比较,不做类型转换
d. 十六进制的值和非数字做比较时,会被当做二进制串
e. 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
f. 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
g. 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> select 11 + '11', 11 + 'aa', 'a1' + 'bb', 11 + '0.01a'; +-----------+-----------+-------------+--------------+ | 11 + '11' | 11 + 'aa' | 'a1' + 'bb' | 11 + '0.01a' | +-----------+-----------+-------------+--------------+ | 22 | 11 | 0 | 11.01 | +-----------+-----------+-------------+--------------+ 1 row in set, 4 warnings (0.00 sec) mysql> show warnings; +---------+------+-------------------------------------------+ | Level | Code | Message | +---------+------+-------------------------------------------+ | Warning | 1292 | Truncated incorrect DOUBLE value: 'aa' | | Warning | 1292 | Truncated incorrect DOUBLE value: 'a1' | | Warning | 1292 | Truncated incorrect DOUBLE value: 'bb' | | Warning | 1292 | Truncated incorrect DOUBLE value: '0.01a' | +---------+------+-------------------------------------------+ 4 rows in set (0.00 sec) mysql> select '11a' = 11, '11.0' = 11, '11.0' = '11', NULL = 1; +------------+-------------+---------------+----------+ | '11a' = 11 | '11.0' = 11 | '11.0' = '11' | NULL = 1 | +------------+-------------+---------------+----------+ | 1 | 1 | 0 | NULL | +------------+-------------+---------------+----------+ 1 row in set, 1 warning (0.01 sec)
上面可以看出11 + 'aa',由于操作符两边的类型不一样且符合第g条,aa要被转换成浮点型小数,然而转换失败(字母被截断),可以认为转成了 0,整数11被转成浮点型还是它自己,所以11 + 'aa' = 11。
0.01a转成double
型也是被截断成0.01,所以11 + '0.01a' = 11.01。
等式比较也说明了这一点,'11a'和'11.0'转换后都等于 11,这也正是文章开头实例为什么没走索引的原因: varchar
型的f_qq1_id
,转换成浮点型比较时,等于 12345 的情况有无数种如12345a、12345.b等待,MySQL优化器无法确定索引是否更有效,所以选择了其它方案。
但并不是只要出现隐式类型转换,就会引起上面类似的性能问题,最终是要看转换后能否有效选择索引。像f_id = '654321'
、f_mtime between '2016-05-01 00:00:00'
and '2016-05-04 23:59:59'
就不会影响索引选择,因为前者f_id是整型,即使与后面的字符串型数字转换成double比较,依然能根据double确定f_id的值,索引依然有效。后者是因为符合第e条,只是右边的常量做了转换。
开发人员可能都只要存在这么一个隐式类型转换的坑,但却又经常不注意,所以干脆无需记住那么多规则,该什么类型就与什么类型比较。
2.2 隐式类型转换的安全问题
implicit type conversion 不仅可能引起性能问题,还有可能产生安全问题。
mysql> desc t_account; +-----------+-------------+------+-----+---------+----------------+ | Field | Type | Null | Key | Default | Extra | +-----------+-------------+------+-----+---------+----------------+ | fid | int(11) | NO | PRI | NULL | auto_increment | | fname | varchar(20) | YES | | NULL | | | fpassword | varchar(50) | YES | | NULL | | +-----------+-------------+------+-----+---------+----------------+ mysql> select * from t_account; +-----+-----------+-------------+ | fid | fname | fpassword | +-----+-----------+-------------+ | 1 | xiaoming | p_xiaoming | | 2 | xiaoming1 | p_xiaoming1 | +-----+-----------+-------------+
假如应用前端没有WAF防护,那么下面的sql很容易注入:
mysql> select * from t_account where fname='A' ; fname传入 A' OR 1='1 mysql> select * from t_account where fname='A' OR 1='1';
攻击者更聪明一点: fname
传入 A'+'B ,fpassword
传入 ccc'+0 :
mysql> select * from t_account where fname='A'+'B' and fpassword='ccc'+0; +-----+-----------+-------------+ | fid | fname | fpassword | +-----+-----------+-------------+ | 1 | xiaoming | p_xiaoming | | 2 | xiaoming1 | p_xiaoming1 | +-----+-----------+-------------+ 2 rows in set, 7 warnings (0.00 sec)
总结