【MySQL 高级】查询截取分析

MySQL高级查询截取分析

排序查询

MySQL 排序原则

调优原则

开启并捕获慢查询；
使用 explain 分析 SQL 性能；
使用 show profile 查询 SQL 执行细节和生命周期情况；
进行 SQL 数据库服务器参数调优。

in 和 exists

exists 语法：select ... from table where exists(subQuery)，将查询的数据放到子查询中做条件验证，根据验证结果（ture 或 false）来决定主查询的数据结果是否得以保留。
exists 子查询的实际执行过程可能经过了优化，它也可以用条件表达式、其他子查询或者 JOIN 来替代。
exists 和 in 的使用原则：
- 永远是小表驱动大表，即小的数据集驱动大的数据集
- 当 A 表数据集小于 B 表数据集时，使用 exist：select * from A where exists (select id from B where B.id = A.id)
- 当 A 表数据集大于 B 表数据集时，使用 in：select * from A where id in (select id from B)

exists 和 in 的使用案例：

mysql> select count(*) from tbl_emp;
+----------+
| count(*) |
+----------+
|        8 |
+----------+
1 row in set (0.00 sec)

mysql> select count(*) from tbl_dept;
+----------+
| count(*) |
+----------+
|        5 |
+----------+
1 row in set (0.00 sec)

# 所以 tbl_emp 数据集 大于 tbl_dept

# exists 使用
mysql> select * from tbl_emp e where exists (select id from tbl_dept d where e.deptId = d.id);
+----+------+--------+
| id | NAME | deptId |
+----+------+--------+
|  1 | z3   |      1 |
|  2 | z4   |      1 |
|  3 | z5   |      1 |
|  4 | w5   |      2 |
|  5 | w6   |      2 |
|  6 | s7   |      3 |
|  7 | s8   |      4 |
+----+------+--------+
7 rows in set (0.00 sec)

# in 使用
mysql> select * from tbl_emp e where e.deptId in (select id from tbl_dept);
+----+------+--------+
| id | NAME | deptId |
+----+------+--------+
|  1 | z3   |      1 |
|  2 | z4   |      1 |
|  3 | z5   |      1 |
|  4 | w5   |      2 |
|  5 | w6   |      2 |
|  6 | s7   |      3 |
|  7 | s8   |      4 |
+----+------+--------+
7 rows in set (0.00 sec)

order by

排序原则

尽量使用 index 方式排序，避免使用 filesort 方式排序

案例分析

建表测试

# create database MySQLTest;

use MySQLTest;

create table tblA(
#                      id int primary key not null auto_increment,
                     age int,
                     birth timestamp not null
);

insert into tblA(age, birth) values(22, now());
insert into tblA(age, birth) values(23, now());
insert into tblA(age, birth) values(24, now());

create index idx_tblA_ageBirth on tblA(age, birth);

mysql> show index from tblA;
+-------+------------+-------------------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+---------------+
| Table | Non_unique | Key_name          | Seq_in_index | Column_name | Collation | Cardinality | Sub_part | Packed | Null | Index_type | Comment | Index_comment |
+-------+------------+-------------------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+---------------+
| tblA  |          1 | idx_tblA_ageBirth |            1 | age         | A         |           3 |     NULL | NULL   | YES  | BTREE      |         |               |
| tblA  |          1 | idx_tblA_ageBirth |            2 | birth       | A         |           3 |     NULL | NULL   |      | BTREE      |         |               |
+-------+------------+-------------------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+---------------+
2 rows in set (0.00 sec)

查询案例一

能使用索引进行排序的情况：

只有带有大哥 age

mysql> explain select * from tblA where age > 20 order by age;
+----+-------------+-------+------------+-------+-------------------+-------------------+---------+------+------+----------+--------------------------+
| id | select_type | table | partitions | type  | possible_keys     | key               | key_len | ref  | rows | filtered | Extra                    |
+----+-------------+-------+------------+-------+-------------------+-------------------+---------+------+------+----------+--------------------------+
|  1 | SIMPLE      | tblA  | NULL       | index | idx_tblA_ageBirth | idx_tblA_ageBirth | 9       | NULL |    3 |   100.00 | Using where; Using index |
+----+-------------+-------+------------+-------+-------------------+-------------------+---------+------+------+----------+--------------------------+
1 row in set, 1 warning (0.02 sec)

mysql> explain select * from tblA where birth > '2021-01-19 00:00:00' order by age;
+----+-------------+-------+------------+-------+---------------+-------------------+---------+------+------+----------+--------------------------+
| id | select_type | table | partitions | type  | possible_keys | key               | key_len | ref  | rows | filtered | Extra                    |
+----+-------------+-------+------------+-------+---------------+-------------------+---------+------+------+----------+--------------------------+
|  1 | SIMPLE      | tblA  | NULL       | index | NULL          | idx_tblA_ageBirth | 9       | NULL |    3 |    33.33 | Using where; Using index |
+----+-------------+-------+------------+-------+---------------+-------------------+---------+------+------+----------+--------------------------+
1 row in set, 1 warning (0.00 sec)

有带头大哥 age 和小弟 birth

mysql> explain select * from tblA where age > 20 order by age, birth;
+----+-------------+-------+------------+-------+-------------------+-------------------+---------+------+------+----------+--------------------------+
| id | select_type | table | partitions | type  | possible_keys     | key               | key_len | ref  | rows | filtered | Extra                    |
+----+-------------+-------+------------+-------+-------------------+-------------------+---------+------+------+----------+--------------------------+
|  1 | SIMPLE      | tblA  | NULL       | index | idx_tblA_ageBirth | idx_tblA_ageBirth | 9       | NULL |    3 |   100.00 | Using where; Using index |
+----+-------------+-------+------------+-------+-------------------+-------------------+---------+------+------+----------+--------------------------+
1 row in set, 1 warning (0.00 sec)

全升序或者降序的情况

mysql> explain select * from tblA order by age asc, birth asc;
+----+-------------+-------+------------+-------+---------------+-------------------+---------+------+------+----------+-------------+
| id | select_type | table | partitions | type  | possible_keys | key               | key_len | ref  | rows | filtered | Extra       |
+----+-------------+-------+------------+-------+---------------+-------------------+---------+------+------+----------+-------------+
|  1 | SIMPLE      | tblA  | NULL       | index | NULL          | idx_tblA_ageBirth | 9       | NULL |    3 |   100.00 | Using index |
+----+-------------+-------+------------+-------+---------------+-------------------+---------+------+------+----------+-------------+
1 row in set, 1 warning (0.00 sec)

mysql> explain select * from tblA order by age desc, birth desc;
+----+-------------+-------+------------+-------+---------------+-------------------+---------+------+------+----------+-------------+
| id | select_type | table | partitions | type  | possible_keys | key               | key_len | ref  | rows | filtered | Extra       |
+----+-------------+-------+------------+-------+---------------+-------------------+---------+------+------+----------+-------------+
|  1 | SIMPLE      | tblA  | NULL       | index | NULL          | idx_tblA_ageBirth | 9       | NULL |    3 |   100.00 | Using index |
+----+-------------+-------+------------+-------+---------------+-------------------+---------+------+------+----------+-------------+
1 row in set, 1 warning (0.00 sec)

查询案例二

不能使用索引进行排序的情况：

没有带头大哥 age

mysql> explain select * from tblA where age > 20 order by birth;
+----+-------------+-------+------------+-------+-------------------+-------------------+---------+------+------+----------+------------------------------------------+
| id | select_type | table | partitions | type  | possible_keys     | key               | key_len | ref  | rows | filtered | Extra                                    |
+----+-------------+-------+------------+-------+-------------------+-------------------+---------+------+------+----------+------------------------------------------+
|  1 | SIMPLE      | tblA  | NULL       | index | idx_tblA_ageBirth | idx_tblA_ageBirth | 9       | NULL |    3 |   100.00 | Using where; Using index; Using filesort |
+----+-------------+-------+------------+-------+-------------------+-------------------+---------+------+------+----------+------------------------------------------+
1 row in set, 1 warning (0.00 sec)

小弟 birth 在带头大哥 age 前面

mysql> explain select * from tblA where age > 20 order by birth, age;
+----+-------------+-------+------------+-------+-------------------+-------------------+---------+------+------+----------+------------------------------------------+
| id | select_type | table | partitions | type  | possible_keys     | key               | key_len | ref  | rows | filtered | Extra                                    |
+----+-------------+-------+------------+-------+-------------------+-------------------+---------+------+------+----------+------------------------------------------+
|  1 | SIMPLE      | tblA  | NULL       | index | idx_tblA_ageBirth | idx_tblA_ageBirth | 9       | NULL |    3 |   100.00 | Using where; Using index; Using filesort |
+----+-------------+-------+------------+-------+-------------------+-------------------+---------+------+------+----------+------------------------------------------+
1 row in set, 1 warning (0.00 sec)

一升一降的情况

mysql> explain select * from tblA order by age asc, birth desc;
+----+-------------+-------+------------+-------+---------------+-------------------+---------+------+------+----------+-----------------------------+
| id | select_type | table | partitions | type  | possible_keys | key               | key_len | ref  | rows | filtered | Extra                       |
+----+-------------+-------+------------+-------+---------------+-------------------+---------+------+------+----------+-----------------------------+
|  1 | SIMPLE      | tblA  | NULL       | index | NULL          | idx_tblA_ageBirth | 9       | NULL |    3 |   100.00 | Using index; Using filesort |
+----+-------------+-------+------------+-------+---------------+-------------------+---------+------+------+----------+-----------------------------+
1 row in set, 1 warning (0.00 sec)

优化结论

MySQL 支持 index 和 filesort 两种排序方式。index 效率更高，它指 MySQL 扫描索引本身完成排序；
order by 满足最左前缀原则的情况下，会使用 index 方式排序；
当无法使用 index 方式排序时，增大 max_length_for_sort_data 参数的设置和增大 sort_buffer_size 参数的设置。

group by

排序原则

group by 实质是先排序后分组，所以同样遵循最左前缀原则；
当无法使用索引列时，增大 max_length_for_sort_data 参数的设置和增大 sort_buffer_size 参数的设置；
where 执行优先级高于 having，能在 where 中限定的条件就不要在 having 中限定；
其余原则同 order by 一致。

慢查询日志

慢查询介绍

MySQL 的慢查询日志时 MySQL 提供的一种日志记录，它用来记录在 MySQL 中响应时间超过阈值的 SQL 语句，具体指运行时间超过 long_query_time 值的 SQL 语句；
long_query_time 的默认值为 10，意思是运行 10 秒以上（不含 10 秒）的 SQL 语句会被记录下来；

慢查询日志开启

默认情况下，MySQL 没有开启慢查询日志，需要手动设置这个参数。如果不是调优需要的话，不建议启动该参数，因为开启它会带来一些性能影响，它也支持将日志记录写入文件。

查看慢查询日志是否开启

mysql> show variables like '%slow_query_log%';
+---------------------+--------------------------------------+
| Variable_name       | Value                                |
+---------------------+--------------------------------------+
| slow_query_log      | OFF                                  |
| slow_query_log_file | /var/lib/mysql/15d99c8ae37f-slow.log |
+---------------------+--------------------------------------+
2 rows in set (0.01 sec)

开启慢查询日志

# 对当前数据库生效，重启后失效
mysql> set global slow_query_log = 1;
Query OK, 0 rows affected (0.03 sec)

mysql> show variables like '%slow_query_log%';
+---------------------+--------------------------------------+
| Variable_name       | Value                                |
+---------------------+--------------------------------------+
| slow_query_log      | ON                                   |
| slow_query_log_file | /var/lib/mysql/15d99c8ae37f-slow.log |
+---------------------+--------------------------------------+
2 rows in set (0.00 sec)


# 永久生效
# 修改 my.cnf 文件，[mysqld] 下增加或修改参数，
# 如果没有指定参数 slow_query_log_file 的话，系统默认会给一个缺省的文件 host_name-slow.log
[mysqld]
slow_query_log = 1
slow_query_log_file = /var/lib/mysql/mysql5.7.32.3306-slow.log

查看什么样的 SQL 语句会记录到慢查询日志中

# 这个是由参数 long_query_time 控制
# 它可以使用命令修改，也可以在 my.cnf 参数里面修改
mysql> show variables like '%long_query_time%';
+-----------------+-----------+
| Variable_name   | Value     |
+-----------------+-----------+
| long_query_time | 10.000000 |
+-----------------+-----------+
1 row in set (0.00 sec)

慢查询日志示例

命令版的慢查询日志：

设置参数

mysql> show variables like '%long_query_time%';
+-----------------+-----------+
| Variable_name   | Value     |
+-----------------+-----------+
| long_query_time | 10.000000 |
+-----------------+-----------+
1 row in set (0.00 sec)

mysql> set global long_query_time = 3;
Query OK, 0 rows affected (0.00 sec)

# 可以看到设置后阈值时间没变，但是全局的阈值已经改变。这是因为需要重新连接或者新开一个回话才能看到修改值。
mysql> show variables like '%long_query_time%';
+-----------------+-----------+
| Variable_name   | Value     |
+-----------------+-----------+
| long_query_time | 10.000000 |
+-----------------+-----------+
1 row in set (0.00 sec)

mysql> show global variables like '%long_query_time%';
+-----------------+----------+
| Variable_name   | Value    |
+-----------------+----------+
| long_query_time | 3.000000 |
+-----------------+----------+
1 row in set (0.00 sec)

慢查询测试

mysql> select sleep(4);
+----------+
| sleep(4) |
+----------+
|        0 |
+----------+
1 row in set (4.01 sec)

查看慢查询日志

root@15d99c8ae37f:/# cat /var/lib/mysql/15d99c8ae37f-slow.log
mysqld, Version: 5.7.32 (MySQL Community Server (GPL)). started with:
Tcp port: 3306  Unix socket: /var/run/mysqld/mysqld.sock
Time                 Id Command    Argument
# Time: 2021-01-19T07:03:49.246822Z
# User@Host: root[root] @ localhost []  Id:     7
# Query_time: 4.000464  Lock_time: 0.000000 Rows_sent: 1  Rows_examined: 0
use MySQLTest;
SET timestamp=1611039829;
select sleep(4);

查看当前系统中有多少条慢查询日志记录

mysql> show global status like '%slow_queries%';
+---------------+-------+
| Variable_name | Value |
+---------------+-------+
| Slow_queries  | 1     |
+---------------+-------+
1 row in set (0.01 sec)

配置版的慢查询日志：

修改 my.cnf 文件，[mysqld] 下增加或修改参数：

slow_query_log = 1
slow_query_log_file = /var/lib/mysql/mysql5.7.32.3306-slow.log
long_query_time = 3
log_output=FILE

日志分析

在生产环境中，如果要手工分析日志，查找、分析 SQL，显然是个体力活。为此，MySQL 提供了日志分析工具 mysqldumpslow。

root@15d99c8ae37f:/# mysqldumpslow --help
Usage: mysqldumpslow [ OPTS... ] [ LOGS... ]

Parse and summarize the MySQL slow query log. Options are

  --verbose    verbose
  --debug      debug
  --help       write this text to standard output

  -v           verbose
  -d           debug
  -s ORDER     what to sort by (al, at, ar, c, l, r, t), 'at' is default
                al: average lock time
                ar: average rows sent
                at: average query time
                 c: count
                 l: lock time
                 r: rows sent
                 t: query time
  -r           reverse the sort order (largest last instead of first)
  -t NUM       just show the top n queries
  -a           don't abstract all numbers to N and strings to 'S'
  -n NUM       abstract numbers with at least n digits within names
  -g PATTERN   grep: only consider stmts that include this string
  -h HOSTNAME  hostname of db server for *-slow.log filename (can be wildcard),
               default is '*', i.e. match all
  -i NAME      name of server instance (if using mysql.server startup script)
  -l           don't subtract lock time from total time

mysqldumpslow 参数解释：

s 按何种方式排序
c 访问次数
l 锁定时间
r 返回记录数
t 查询时间
al 平均锁定时间
ar 平均返回记录数
at 平均查询时间
g 匹配正则表达式，大小写不敏感

常用操作：

得到返回记录集最多的 10 个 SQL

mysqldumpslow -s r -t 10 /var/lib/mysql/15d99c8ae37f-slow.log

得到访问次数最多的 10 个 SQL

mysqldumpslow -s c -t 10 /var/lib/mysql/15d99c8ae37f-slow.log

得到按照时间排序的前 10 条里面含有左连接的查询语句

mysqldumpslow -s t -t 10 -g "left join" /var/lib/mysql/15d99c8ae37f-slow.log

这些命令也可以配合 more 使用

mysqldumpslow -s t -t 10 -g "left join" /var/lib/mysql/15d99c8ae37f-slow.log | more

批量数据脚本

建表测试

# create database MySQLTest;

use MySQLTest;

CREATE TABLE dept(
                     deptno int unsigned primary key auto_increment,
                     dname varchar(20) not null default '',
                     loc varchar(8) not null default ''
)ENGINE=INNODB DEFAULT CHARSET=utf8;

CREATE TABLE emp(
                    id int unsigned primary key auto_increment,
                    empno mediumint unsigned not null default 0,
                    ename varchar(20) not null default '',
                    job varchar(9) not null default '',
                    mgr mediumint unsigned not null default 0,
                    hiredate date not null,
                    sal decimal(7,2) not null,
                    comm decimal(7,2) not null,
                    deptno mediumint unsigned not null default 0
)ENGINE=INNODB DEFAULT CHARSET=utf8;

设置参数

如果创建函数，如果报错。这是因为开启了慢查询日志，所以必须为函数指定一个参数，可以通过修改 log_bin_trust_function_creators 参数来设置不为函数传递参数：

mysql> show variables like 'log_bin_trust_function_creators';
+---------------------------------+-------+
| Variable_name                   | Value |
+---------------------------------+-------+
| log_bin_trust_function_creators | OFF   |
+---------------------------------+-------+
1 row in set (0.00 sec)

mysql> set global log_bin_trust_function_creators=1;
Query OK, 0 rows affected (0.00 sec)

# 永久生效
# 修改 my.cnf 文件，[mysqld] 下增加或修改参数，
[mysqld]
log_bin_trust_function_creators = 1

创建函数

创建函数，保证每条数据都不相同。

随机产生字符串的函数

# create database MySQLTest;

use MySQLTest;

delimiter $$
create function rand_string(n int) returns varchar(255)
begin
    declare chars_str varchar(100) default 'abcdefghijklmnopqrstuvwxyz';
    declare return_str varchar(255) default '';
    declare i int default 0;
    while i < n do
            set return_str = concat(return_str,substring(chars_str,floor(1+rand()*52),1));
            set i=i+1;
        end while;
    return return_str;
end $$

随机产生部门编号的函数

# create database MySQLTest;

use MySQLTest;

delimiter $$
create function rand_num() returns int(5)
begin
    declare i int default 0;
    set i = floor(100+rand()*10);
    return i;
end $$

创建存储过程

创建往 emp 表中插入数据的存储过程

# create database MySQLTest;

use MySQLTest;

delimiter $$
create procedure insert_emp(in start int(10), in max_num int(10))
begin
    declare i int default 0;
    set autocommit = 0;
    repeat
        set i = i + 1;
        insert into emp(empno, ename, job, mgr, hiredate, sal, comm, deptno)
        values ((start+i),rand_string(6),'salesman',0001,curdate(),2000,400,rand_num());
    until i = max_num
        end repeat;
    commit;
end $$

创建往 dept 表中插入数据的存储过程

# create database MySQLTest;

use MySQLTest;

delimiter $$
create procedure insert_dept(in start int(10), in max_num int(10))
begin
    declare i int default 0;
    set autocommit = 0;
    repeat
        set i = i + 1;
        insert into dept(deptno, dname, loc)
        values ((start+i),rand_string(10),rand_string(8));
    until i = max_num
        end repeat;
    commit;
end $$

调用存储过程

往 dept 表插入 10 条记录

# create database MySQLTest;

use MySQLTest;

delimiter ;
call insert_dept(100, 10);

往 emp 表插入 50W 条记录

# create database MySQLTest;

use MySQLTest;

delimiter ;
call insert_emp(100001, 500000);

Show Profile

Show Profile 介绍

它可以分析当前会话中语句执行的资源消耗情况，常用于测量 SQL 的调优情况；
默认情况下，参数处于关闭状态，并保存最近 15 次的运行结果。

Show Profile 开启

mysql> show variables like '%profiling%';
+------------------------+-------+
| Variable_name          | Value |
+------------------------+-------+
| have_profiling         | YES   |
| profiling              | OFF   |
| profiling_history_size | 15    |
+------------------------+-------+
3 rows in set (0.00 sec)

# 说明是支持 Show Profile 的，使用 `set profiling=on` 开启 Show Profile
mysql> set profiling = on;
Query OK, 0 rows affected, 1 warning (0.00 sec)

mysql> show variables like '%profiling%';
+------------------------+-------+
| Variable_name          | Value |
+------------------------+-------+
| have_profiling         | YES   |
| profiling              | ON    |
| profiling_history_size | 15    |
+------------------------+-------+
3 rows in set (0.04 sec)

Show Profile 示例

正常的 SQL

select * from tbl_emp;
select * from tbl_emp e inner join tbl_dept d on e.deptId = d.id;
select * from tbl_emp e left join tbl_dept d on e.deptId = d.id;

慢的 SQL

select * from emp group by id%10 limit 150000;
select * from emp group by id%10 limit 150000;
select * from emp group by id%10 order by 5;

查看结果

mysql> show profiles;
+----------+------------+------------------------------------------------------------------+
| Query_ID | Duration   | Query                                                            |
+----------+------------+------------------------------------------------------------------+
|        1 | 0.04100475 | show variables like '%profiling%'                                |
|        2 | 0.01290600 | select * from emp group by id%10 limit 150000                    |
|        3 | 0.00014375 | select * from emp group by id%10 limit 150000                    |
|        4 | 0.00026100 | select * from tbl_emp                                            |
|        5 | 0.00037550 | select * from tbl_emp e inner join tbl_dept d on e.deptId = d.id |
|        6 | 0.00126000 | select * from tbl_emp e left join tbl_dept d on e.deptId = d.id  |
|        7 | 0.00013400 | select * from emp group by id%10 limit 150000                    |
|        8 | 0.00017125 | select * from emp group by id%10 limit 150000                    |
|        9 | 0.00013850 | select * from emp group by id%10 order by 5                      |
+----------+------------+------------------------------------------------------------------+
9 rows in set, 1 warning (0.00 sec)

诊断 SQL

mysql> show profile cpu, block io for query 4; # 4 是 Query_ID
+----------------------+----------+----------+------------+--------------+---------------+
| Status               | Duration | CPU_user | CPU_system | Block_ops_in | Block_ops_out |
+----------------------+----------+----------+------------+--------------+---------------+
| starting             | 0.000092 | 0.000090 |   0.000000 |            0 |             0 |
| checking permissions | 0.000008 | 0.000007 |   0.000000 |            0 |             0 |
| Opening tables       | 0.000016 | 0.000016 |   0.000000 |            0 |             0 |
| init                 | 0.000014 | 0.000013 |   0.000000 |            0 |             0 |
| System lock          | 0.000006 | 0.000006 |   0.000000 |            0 |             0 |
| optimizing           | 0.000003 | 0.000004 |   0.000000 |            0 |             0 |
| statistics           | 0.000010 | 0.000010 |   0.000000 |            0 |             0 |
| preparing            | 0.000009 | 0.000009 |   0.000000 |            0 |             0 |
| executing            | 0.000003 | 0.000002 |   0.000000 |            0 |             0 |
| Sending data         | 0.000067 | 0.000067 |   0.000000 |            0 |             0 |
| end                  | 0.000004 | 0.000004 |   0.000000 |            0 |             0 |
| query end            | 0.000005 | 0.000004 |   0.000000 |            0 |             0 |
| closing tables       | 0.000006 | 0.000006 |   0.000000 |            0 |             0 |
| freeing items        | 0.000010 | 0.000009 |   0.000000 |            0 |             0 |
| cleaning up          | 0.000011 | 0.000011 |   0.000000 |            0 |             0 |
+----------------------+----------+----------+------------+--------------+---------------+
15 rows in set, 1 warning (0.00 sec)

参数说明：

all 显示所有的开销信息
block io 显示块 io 相关开销
context switches 上下文切换相关开销
cpu 显示 cpu 相关开销
ipc 显示发送和接收相关开销
memory 显示内存相关开销
page faults 显示页面错误相关开销
source 显示和 source_function、source_file、source_line 相关开销
swaps 显示交换次数相关开销

重要结论
- converting HEAP to MyISAM：查询结果太大，内存都不够用了往磁盘上搬了。
- Creating tmp table：创建临时表，mysql 先将拷贝数据到临时表，然后用完再将临时表删除。
- Copying to tmp table on disk：把内存中临时表复制到磁盘，危险。
- locked：锁表。

全局查询日志

注意：这个功能永远不要在生产环境中开启。

命令开启全局查询日志

set global general_log=1;
set global log_output='TABLE';

配置开启全局查询日志

[mysqld]
# 开启
general_log=1

# 记录日志文件的路径
general_log_file=/path/logfile

# 输出格式
log_output=FILE

开启后，所执行的 sql 语句，将会记录到 mysql 库里的 general_log 表
```
mysql> select * from mysql.general_log;
Empty set (0.01 sec)
```

总结和练习

posted @ 2020-12-31 11:34 Parzulpan 阅读(77) 评论(0) 编辑收藏举报

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【MySQL 高级】查询截取分析

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【MySQL 高级】查询截取分析

MySQL高级 查询截取分析

排序查询

MySQL 排序原则

调优原则

in 和 exists

order by

排序原则

案例分析

建表测试

查询案例一

查询案例二

优化结论

group by

排序原则

慢查询日志

慢查询介绍

慢查询日志开启

慢查询日志示例

日志分析

批量数据脚本

建表测试

设置参数

创建函数

创建存储过程

调用存储过程

Show Profile

Show Profile 介绍

Show Profile 开启

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全局查询日志

总结和练习

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MySQL高级查询截取分析