MySQL索引失效之隐式转换的问题
常见索引失效:
1. 条件索引字段"不干净":函数操作、运算操作
2. 隐式类型转换:字符串转数值;其他类型转换
3. 隐式字符编码转换:按字符编码数据长度大的方向转换,避免数据截取
一、常见索引失效场景
root@test 10:50 > show create table t_num\g *************************** 1. row *************************** table: t_num create table: create table `t_num` ( `id` int(11) not null auto_increment, `c1` int(11) not null, `c2` varchar(11) not null, primary key (`id`), key `ix_c1` (`c1`) ) engine=innodb auto_increment=6 default charset=utf8mb4 root@test 10:51 > select * from t_num; +----+----+----+ | id | c1 | c2 | +----+----+----+ | 1 | -2 | -2 | | 2 | -1 | -1 | | 3 | 0 | 0 | | 4 | 1 | 1 | | 5 | 2 | 2 | +----+----+----+ # 在c1字段上加上索引 root@test 10:52 > alter table t_num add index ix_c1(c1); # 标准使用情况下,索引有效 root@test 10:55 > explain select * from t_num where c1 = -1; +----+-------------+-------+------------+------+---------------+-------+---------+-------+------+----------+-------+ | id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | extra | +----+-------------+-------+------------+------+---------------+-------+---------+-------+------+----------+-------+ | 1 | simple | t_num | null | ref | ix_c1 | ix_c1 | 4 | const | 1 | 100.00 | null | +----+-------------+-------+------------+------+---------------+-------+---------+-------+------+----------+-------+
1、条件字段函数操作
# 在where中c1上加上abs()绝对值函数,可以看到type=all,全表扫描,在server层进行绝对值处理后进行比较 root@test 10:58 > explain select * from t_num where abs(c1) = 1; +----+-------------+-------+------------+------+---------------+------+---------+------+------+----------+-------------+ | id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | extra | +----+-------------+-------+------------+------+---------------+------+---------+------+------+----------+-------------+ | 1 | simple | t_num | null | all | null | null | null | null | 5 | 100.00 | using where | +----+-------------+-------+------------+------+---------------+------+---------+------+------+----------+-------------+
如上,对索引字段做函数操作,即where条件列上不干净时,可能会破坏索引值的有序性(按照c1的值有序组织索引树),因此优化器就决定放弃走索引树搜索功能。
但是,条件字段函数操作下,也并非完全的走全表扫描,优化器并非完全的放弃该字段索引。
# 选择查询的数据,只有id和c1字段,可以看到type=index,使用到了ix_c1索引 root@test 10:59 > explain select id,c1 from t_num where abs(c1) = 1; +----+-------------+-------+------------+-------+---------------+-------+---------+------+------+----------+--------------------------+ | id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | extra | +----+-------------+-------+------------+-------+---------------+-------+---------+------+------+----------+--------------------------+ | 1 | simple | t_num | null | index | null | ix_c1 | 4 | null | 5 | 100.00 | using where; using index | +----+-------------+-------+------------+-------+---------------+-------+---------+------+------+----------+--------------------------+
如上,由于ix_c1索引树是根节点c1和叶子节点id构造的,虽然因为c1上的函数操作导致放弃索引定位,但优化器可以选择遍历该索引树,使用覆盖索引(using index),无需回表,将所需的id和c1数据返回server层后进行后续的abs()和where过滤。
2、条件字段运算操作
# where条件里,对c1进行运算操作 root@test 11:03 > explain select * from t_num where c1 + 1 = 2; +----+-------------+-------+------------+------+---------------+------+---------+------+------+----------+-------------+ | id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | extra | +----+-------------+-------+------------+------+---------------+------+---------+------+------+----------+-------------+ | 1 | simple | t_num | null | all | null | null | null | null | 5 | 100.00 | using where | +----+-------------+-------+------------+------+---------------+------+---------+------+------+----------+-------------+
如上,虽然“+1”的操作并没有破坏c1索引的有序性,但优化器仍然没有使用该索引快速定位。因此,等号左边,注意优化掉索引字段上的运算操作。
3、隐式类型转换
# 在c2字段上加上索引 root@test 12:30 > alter table t_num add index ix_c2(c2); # 标准使用情况下(注:c2是varchar类型的),索引有效 root@test 12:30 > explain select * from t_num where c2 = "2"; +----+-------------+-------+------------+------+---------------+-------+---------+-------+------+----------+-------+ | id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | extra | +----+-------------+-------+------------+------+---------------+-------+---------+-------+------+----------+-------+ | 1 | simple | t_num | null | ref | ix_c2 | ix_c2 | 42 | const | 1 | 100.00 | null | +----+-------------+-------+------------+------+---------------+-------+---------+-------+------+----------+-------+ # 去掉等号右边值的引号,即字符串和数值进行比较,索引失效 root@test 12:30 > explain select * from t_num where c2 = 2; +----+-------------+-------+------------+------+---------------+------+---------+------+------+----------+-------------+ | id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | extra | +----+-------------+-------+------------+------+---------------+------+---------+------+------+----------+-------------+ | 1 | simple | t_num | null | all | ix_c2 | null | null | null | 5 | 20.00 | using where | +----+-------------+-------+------------+------+---------------+------+---------+------+------+----------+-------------+
如上,c2字段是varchar类型,是字符串和数值的比较,此时,mysql是将字符串转换成数字,即此处的c2被cast(c2 as signed int),这就相当于对条件字段做了函数操作,优化器放弃走树索引定位。
4、隐式字符编码转换
# 创建一个t_cou表,表结构基本和前面的t_num相同,唯一不同的设置是表字符集charset=utf8 root@test 14:02 > show create table t_cou\g *************************** 1. row *************************** table: t_cou create table: create table `t_cou` ( `id` int(11) not null auto_increment, `c1` int(11) not null, `c2` varchar(10) not null, primary key (`id`), key `ix_c1` (`c1`), key `ix_c2` (`c2`) ) engine=innodb auto_increment=1 default charset=utf8 root@test 14:02 > insert into t_cou select * from t_num; # join表,t_num和t_cou通过c2字段进行关联查询 root@test 14:03 > select n.* from t_num n -> join t_cou c -> on n.c2 = c.c2 -> where n.c1 = 1; +----+----+----+ | id | c1 | c2 | +----+----+----+ | 4 | 1 | 1 | +----+----+----+ root@test 14:23 > explain select n.* from t_num n join t_cou c on n.c2 = c.c2 where c.c1 = 1; +----+-------------+-------+------------+------+---------------+-------+---------+-------+------+----------+-----------------------+ | id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | extra | +----+-------------+-------+------------+------+---------------+-------+---------+-------+------+----------+-----------------------+ | 1 | simple | c | null | ref | ix_c1 | ix_c1 | 4 | const | 1 | 100.00 | null | | 1 | simple | n | null | ref | ix_c2 | ix_c2 | 42 | func | 1 | 100.00 | using index condition | +----+-------------+-------+------------+------+---------------+-------+---------+-------+------+----------+-----------------------+ # 执行计划分析: # 1.操作的c表,使用了ix_c1定位到一行数据 # 2.从c表定位到的行数据,拿到c2字段去操作n表,t_cou称为驱动表,t_num称为被驱动表 # 3.ref=func说明使用了函数操作,指的是n.c2=convert(c.c2 using utf8mb4) # 4.同时using index condition,ix_c2读取查询时,使用被下推的条件过滤,满足条件的才回表 root@test 14:23 > explain select n.* from t_num n join t_cou c on n.c2 = c.c2 where n.c1 = 1; +----+-------------+-------+------------+-------+---------------+-------+---------+-------+------+----------+-----------------------------------------------------------------+ | id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | extra | +----+-------------+-------+------------+-------+---------------+-------+---------+-------+------+----------+-----------------------------------------------------------------+ | 1 | simple | n | null | ref | ix_c1,ix_c2 | ix_c1 | 4 | const | 1 | 100.00 | null | | 1 | simple | c | null | index | null | ix_c2 | 32 | null | 5 | 100.00 | using where; using index; using join buffer (block nested loop) | +----+-------------+-------+------------+-------+---------------+-------+---------+-------+------+----------+-----------------------------------------------------------------+ # 执行计划分析: # 1.操作的n表,使用了ix_c1定位到一行数据 # 2.从n表定位到的行数据,拿到c2字段去操作c表,t_num称为驱动表,t_cou称为被驱动表 # 3.同样的n.c2=c.c2,会将c.c2的字符集进行转换,即被驱动表的索引字段上加函数操作,索引失效 # 4.bnl,表join时,驱动表数据读入join buffer,被驱动表连接字段无索引则全表扫,每取一行和join buffer数据对比判断,作为结果集返回
如上,分别对t_num、 t_cou作为驱动表和被驱动表的执行计划分析,总结:
utf8mb4和utf8两种不同字符集(编码)类型的字符串在做比较时,mysql会先把 utf8 字符串转成 utf8mb4 字符集,再做比较。为什么?字符集 utf8mb4 是 utf8 的超集,再做隐式自动类型转换时,为了避免数据在转换过程中由于截断导致数据错误,会“按数据长度增加的方向”进行转换。
表连接过程中,被驱动表的索引字段上加函数操作,会导致对被驱动表做全表扫描。
优化手法:
修改统一join字段的字符集
对驱动表下手,将连接字段的字符集转换成被驱动表连接字段的字符集
root@test 18:09 > explain select n.* from t_num n join t_cou c on convert(n.c2 using utf8) = c.c2 where n.c1 = 1; +----+-------------+-------+------------+------+---------------+-------+---------+-------+------+----------+--------------------------+ | id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | extra | +----+-------------+-------+------------+------+---------------+-------+---------+-------+------+----------+--------------------------+ | 1 | simple | n | null | ref | ix_c1 | ix_c1 | 4 | const | 1 | 100.00 | null | | 1 | simple | c | null | ref | ix_c2 | ix_c2 | 32 | func | 1 | 100.00 | using where; using index | +----+-------------+-------+------------+------+---------------+-------+---------+-------+------+----------+--------------------------+
二、类型转换
1、字符串转整型
# 字符开头的一律为0 root@test 18:44 > select convert("abc", unsigned integer); +----------------------------------+ | convert("abc", unsigned integer) | +----------------------------------+ | 0 | +----------------------------------+ # 'abc' = 0是成立的,因此查询时等号右边使用对应的类型很重要,0匹配出字段字符开头数据,'0'只匹配0 root@test 18:44 > select 'abc' = 0; +-----------+ | 'abc' = 0 | +-----------+ | 1 | +-----------+ # 数字开头的,直接截取到第一个不是字符的位置 root@test 18:45 > select convert("123abc", unsigned integer); +-------------------------------------+ | convert("123abc", unsigned integer) | +-------------------------------------+ | 123 | +-------------------------------------+
2、时间类型转换
root@test 19:11 > show create table time_demo\g *************************** 1. row *************************** table: time_demo create table: create table `time_demo` ( `id` int(11) not null auto_increment, `c1` datetime default null, `c2` date default null, primary key (`id`), key `ix_c1` (`c1`) ) engine=innodb auto_increment=5 default charset=utf8mb4 root@test 19:15 > select count(*) from time_demo; +----------+ | count(*) | +----------+ | 11 | +----------+ root@test 19:16 > select * from time_demo limit 4; +----+---------------------+------------+ | id | c1 | c2 | +----+---------------------+------------+ | 1 | 2022-01-08 00:01:01 | 2022-01-08 | | 2 | 2022-01-06 23:01:01 | 2022-01-06 | | 3 | 2022-01-06 00:00:00 | 2022-01-06 | | 4 | 2022-01-08 00:00:00 | 2022-01-08 | +----+---------------------+------------+ # 1.date转datetime:末尾追加 00:00:00 root@test 19:11 > select * from time_demo where c1 between "2022-01-06" and "2022-01-08"; +----+---------------------+------------+ | id | c1 | c2 | +----+---------------------+------------+ | 2 | 2022-01-06 23:01:01 | 2022-01-06 | | 3 | 2022-01-06 00:00:00 | 2022-01-06 | | 4 | 2022-01-08 00:00:00 | 2022-01-08 | +----+---------------------+------------+ # 结果分析:c1是datetime类型,进行比较时,between and中的date类型会转换成datetime # 即 where c1 between "2022-01-06 00:00:00" and "2022-01-08 00:00:00"; # 同 where c1 >= "2022-01-06 00:00:00" and c1 <= "2022-01-08 00:00:00"; root@test 19:42 > explain select * from time_demo where c1 between "2022-01-06" and "2022-01-08"; +----+-------------+-----------+------------+-------+---------------+-------+---------+------+------+----------+-----------------------+ | id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | extra | +----+-------------+-----------+------------+-------+---------------+-------+---------+------+------+----------+-----------------------+ | 1 | simple | time_demo | null | range | ix_c1 | ix_c1 | 6 | null | 3 | 100.00 | using index condition | +----+-------------+-----------+------------+-------+---------------+-------+---------+------+------+----------+-----------------------+ # 格式化date转datetime root@test 19:23 > select date_format("2022-01-08","%y-%m-%d %h:%i:%s"); +-----------------------------------------------+ | date_format("2022-01-08","%y-%m-%d %h:%i:%s") | +-----------------------------------------------+ | 2022-01-06 00:00:00 | +-----------------------------------------------+ # 2.datetime转date:直接截取date部分 root@test 19:47 > select date(c1) from time_demo limit 1; +------------+ | date(c1) | +------------+ | 2022-01-06 | +------------+ # 3.date转time,没有意义,直接变成 00:00:00
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