mysql的表索引相关（mysql索引的用法）
wptr33 2025-05-03 16:58 6 浏览
索引的创建以及删除
1.alter table
2.create/drop index
mysql> create index idx_b on t (cls_id);
ERROR 1072 (42000): Key column 'cls_id' doesn't exist in table
desc方式查看
mysql> desc students;
+------------+-----------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+------------+-----------------+------+-----+---------+----------------+
| id | bigint unsigned | NO | PRI | NULL | auto_increment |
| created_at | datetime(3) | YES | | NULL | |
| updated_at | datetime(3) | YES | | NULL | |
| deleted_at | datetime(3) | YES | MUL | NULL | |
| sno | bigint | YES | | NULL | |
| pwd | varchar(32) | NO | | NULL | |
| tel | varchar(12) | NO | | NULL | |
| birth | datetime(3) | YES | | NULL | |
| cls_id | bigint | YES | MUL | NULL | |
+------------+-----------------+------+-----+---------+----------------+
9 rows in set (0.00 sec)
show create table 方式查看
mysql> show create table students;
+----------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Table | Create Table |
+----------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| students | CREATE TABLE `students` (
`id` bigint unsigned NOT NULL AUTO_INCREMENT,
`created_at` datetime(3) DEFAULT NULL,
`updated_at` datetime(3) DEFAULT NULL,
`deleted_at` datetime(3) DEFAULT NULL,
`sno` bigint DEFAULT NULL,
`pwd` varchar(32) NOT NULL,
`tel` varchar(12) NOT NULL,
`birth` datetime(3) DEFAULT NULL,
`cls_id` bigint DEFAULT NULL,
PRIMARY KEY (`id`),
KEY `idx_students_deleted_at` (`deleted_at`),
KEY `idx_b` (`cls_id`)
) ENGINE=InnoDB AUTO_INCREMENT=50 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci |
+----------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
1 row in set (0.01 sec)
mysql> show index from students
-> ;
+----------+------------+-------------------------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+---------------+---------+------------+
| Table | Non_unique | Key_name | Seq_in_index | Column_name | Collation | Cardinality | Sub_part | Packed | Null | Index_type | Comment | Index_comment | Visible | Expression |
+----------+------------+-------------------------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+---------------+---------+------------+
| students | 0 | PRIMARY | 1 | id | A | 45 | NULL | NULL | | BTREE | | | YES | NULL |
| students | 1 | idx_students_deleted_at | 1 | deleted_at | A | 1 | NULL | NULL | YES | BTREE | | | YES | NULL |
| students | 1 | idx_b | 1 | cls_id | A | 2 | NULL | NULL | YES | BTREE | | | YES | NULL |
+----------+------------+-------------------------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+---------------+---------+------------+
3 rows in set (0.04 sec)索引核心是降低io的操作
explain select的查询序列号
1.数字越小，表示最外面
2.数字越大表示优先级最高（最里面的先执行）
3.数字相同表示是同一组的 同一组里的按顺序来从上到下执行
mysql> explain select * from su a ,(select c2 from su where id=10) b where a.c2=b.c2;
+----+-------------+-------+------------+-------+---------------+---------+---------+-------+-------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+-------+---------------+---------+---------+-------+-------+----------+-------------+
| 1 | SIMPLE | su | NULL | const | PRIMARY | PRIMARY | 4 | const | 1 | 100.00 | NULL |
| 1 | SIMPLE | a | NULL | ALL | NULL | NULL | NULL | NULL | 87778 | 10.00 | Using where |
+----+-------------+-------+------------+-------+---------------+---------+---------+-------+-------+----------+-------------+
2 rows in set, 1 warning (0.00 sec)4.当type 中出现了all 表示走了全表扫描 possible_keys （可能用到的索引） key（索引名称） rows （扫描的行数 一般超过5000行就有问题需要进行优化）
5.update 或者delete也会使用到对应的索引（select,update,delete都是能加速的）
索引分为单列索引和联合索引
创建方法： create index idx_c3_c4 on su(c3,c4)
查看索引的信息：
mysql> show index from su;
+-------+------------+-----------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+---------------+---------+------------+
| Table | Non_unique | Key_name | Seq_in_index | Column_name | Collation | Cardinality | Sub_part | Packed | Null | Index_type | Comment | Index_comment | Visible | Expression |
+-------+------------+-----------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+---------------+---------+------------+
| su | 0 | PRIMARY | 1 | id | A | 472487 | NULL | NULL | | BTREE | | | YES | NULL |
| su | 1 | idx_c2 | 1 | c2 | A | 305177 | NULL | NULL | | BTREE | | | YES | NULL |
| su | 1 | idx_c3_c4 | 1 | c3 | A | 304103 | NULL | NULL | | BTREE | | | YES | NULL |
| su | 1 | idx_c3_c4 | 2 | c4 | A | 305613 | NULL | NULL | | BTREE | | | YES | NULL |
+-------+------------+-----------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+---------------+---------+------------+
4 rows in set (0.03 sec)查询
mysql> explain select * from su where c3="222"; #用到索引了
+----+-------------+-------+------------+------+---------------+-----------+---------+-------+------+----------+-------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+------+---------------+-----------+---------+-------+------+----------+-------+
| 1 | SIMPLE | su | NULL | ref | idx_c3_c4 | idx_c3_c4 | 4 | const | 2 | 100.00 | NULL |
+----+-------------+-------+------------+------+---------------+-----------+---------+-------+------+----------+-------+
1 row in set, 1 warning (0.01 sec)
mysql> explain select * from su where c4="222"; #当使用c4查询时没有使用到对应的索引
+----+-------------+-------+------------+------+---------------+------+---------+------+--------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+------+---------------+------+---------+------+--------+----------+-------------+
| 1 | SIMPLE | su | NULL | ALL | NULL | NULL | NULL | NULL | 472487 | 10.00 | Using where |
+----+-------------+-------+------------+------+---------------+------+---------+------+--------+----------+-------------+
1 row in set, 1 warning (0.00 sec)
explain select * from su where c4="222" order by c3;
+----+-------------+-------+------------+------+---------------+------+---------+------+--------+----------+-----------------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+------+---------------+------+---------+------+--------+----------+-----------------------------+
| 1 | SIMPLE | su | NULL | ALL | NULL | NULL | NULL | NULL | 472487 | 10.00 | Using where; Using filesort |
+----+-------------+-------+------------+------+---------------+------+---------+------+--------+----------+-----------------------------+
1 row in set, 1 warning (0.00 sec)
mysql> explain select * from su where c3="222" order by c4;
+----+-------------+-------+------------+------+---------------+-----------+---------+-------+------+----------+-------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+------+---------------+-----------+---------+-------+------+----------+-------+
| 1 | SIMPLE | su | NULL | ref | idx_c3_c4 | idx_c3_c4 | 4 | const | 2 | 100.00 | NULL |
+----+-------------+-------+------------+------+---------------+-----------+---------+-------+------+----------+-------+
1 row in set, 1 warning (0.00 sec)
#all 运算符没有使用到索引
mysql> explain select * from su where c3="222" or c4="123";
+----+-------------+-------+------------+------+---------------+------+---------+------+--------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+------+---------------+------+---------+------+--------+----------+-------------+
| 1 | SIMPLE | su | NULL | ALL | idx_c3_c4 | NULL | NULL | NULL | 472487 | 19.00 | Using where |
+----+-------------+-------+------------+------+---------------+------+---------+------+--------+----------+-------------+
1 row in set, 1 warning (0.00 sec)总结： 1.创建联合索引时 最左前缀原则 当单独使用c4时是无法使用索引的
2.在orderby 进行排序时也是遵循最左前缀原则的 走索引（c3必须在前面才行）
3.or 关键字在联合索引中不起作用（单列索引是可以） index merge(索引的合并)，只能用一个索引（同时使用到单列和联合索引） 转化为 合并索引
4.不支持中文索引，但是支持全文索引如何创建全文索引
5.索引中不会包含有null值的列，当使用count（*）时对null值不走，对于创建索引时我们建议创建非空字段 不建议在null上的字段简历索引
6.在进行select语句时不要进行函数运算 ，否则你创建索引了也用不到索引
mysql> create index idx_c4 on su(c4);
Query OK, 0 rows affected (3.83 sec)
Records: 0 Duplicates: 0 Warnings: 0
mysql> explain select * from su where c3="222" or c4="123";
+----+-------------+-------+------------+-------------+------------------+------------------+---------+------+------+----------+-------------------------------------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+-------------+------------------+------------------+---------+------+------+----------+-------------------------------------------------+
| 1 | SIMPLE | su | NULL | index_merge | idx_c3_c4,idx_c4 | idx_c3_c4,idx_c4 | 4,4 | NULL | 3 | 100.00 | Using sort_union(idx_c3_c4,idx_c4); Using where |
+----+-------------+-------+------------+-------------+------------------+------------------+---------+------+------+----------+-------------------------------------------------+
1 row in set, 1 warning (0.01 sec)删除索引： alter table su drop index idx_c4;
mysql> ALTER TABLE su drop index idx_c4;
Query OK, 0 rows affected (0.05 sec)
Records: 0 Duplicates: 0 Warnings: 0
尽量少使用or 否则就健单列索引
全文索引
create fulltext index idx_su on su(1);
覆盖索引
通过索引即可查到数据（就是覆盖素引） Extra 中使用 Usingindex
查询列就是索引列
mysql> explain select c2 from su where c2=123;
+----+-------------+-------+------------+------+---------------+--------+---------+-------+------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+------+---------------+--------+---------+-------+------+----------+-------------+
| 1 | SIMPLE | su | NULL | ref | idx_c2 | idx_c2 | 4 | const | 1 | 100.00 | Using index |
+----+-------------+-------+------------+------+---------------+--------+---------+-------+------+----------+-------------+当extra 中使用的是 filesort 时需要优化
函数运算索引
mysql> explain select * from su where YEAR(C5)<2007;
+----+-------------+-------+------------+------+---------------+------+---------+------+--------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+------+---------------+------+---------+------+--------+----------+-------------+
| 1 | SIMPLE | su | NULL | ALL | NULL | NULL | NULL | NULL | 497738 | 100.00 | Using where |
+----+-------------+-------+---------
未使用函数时
mysql> explain select * from su where C5<"2007-12-12:14:00";
+----+-------------+-------+------------+-------+---------------+--------+---------+------+------+----------+-----------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+-------+---------------+--------+---------+------+------+----------+-----------------------+
| 1 | SIMPLE | su | NULL | range | idx_c5 | idx_c5 | 4 | NULL | 1 | 100.00 | Using index condition |
+----+-------------+-------+------------+-------+---------------+--------+---------+------+------+----------+-----------------------+
1 row in set, 2 warnings (0.00 sec)1.提高排队效率
2.创建索引在非null的字段上进行创建，在有null的字段会扫描对应 的null数据
3.联合索引降低搜索的范围（单行索引和联合索引没有绝对的好与不好）
1.通过索引 扫描超过30%时走全表扫描
2.函数 以及模糊匹配时无法使用索引 like 语句
3.不综训最左前缀原则不走索引
4.两个单读索引 一个用排序 orderby 需要创建联合索引
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