MySQL在存储过程中使用while批量插入数据（批量提交和单个提交的性能差异）

批量提交：

while 语句写法：

    while '条件' do
            循环体语句;
    end while;

完整写法：

drop procedure if exists test_insert;
delimiter $$
create procedure test_insert(n int)
	begin
	declare v int default 0;
	set AUTOCOMMIT = 0;
	while v < n
		do
				insert into test(second_key, text, field_4,status, create_date)
				values ((v*10),
				concat('t',v),
                substring(md5(rand()), 1, 10),
                'good',
                adddate('1970-01-01', rand(v) * 10000));
        set v = v + 1;
     end while;
      set AUTOCOMMIT = 1;
end$$
delimiter ;

查看、删除存储过程：

mysql> show procedure status like 'test_insert';
mysql> show create procedure test_insert\G;
mysql> drop procedure if exists test_insert;

创建表

CREATE TABLE test (
id INT NOT NULL AUTO_INCREMENT,
second_key INT,
text VARCHAR(20),
field_4 VARCHAR(20),
status VARCHAR(10),
create_date date,
PRIMARY KEY (id),
KEY idx_second_key (second_key)
) Engine=InnoDB CHARSET=utf8;

插入100万条数据

mysql> call test_insert(1000000);
Query OK, 0 rows affected (31.86 sec)

单个提交：

完整写法：

drop procedure if exists test_insert;
delimiter $$
create procedure test_insert(n int)
	begin
	declare v int default 0;
	while v < n
		do
				insert into test(second_key, text, field_4,status, create_date)
				values ((v*10),
				concat('t',v),
                substring(md5(rand()), 1, 10),
                'good',
                adddate('1970-01-01', rand(v) * 10000));
        set v = v + 1;
     end while;
end$$
delimiter ;

插入1万条数据

mysql> call test_insert(10000);
Query OK, 1 row affected (1 min 8.52 sec)

打开另一个窗口查看

mysql> select count(*) from test.test;
+----------+
| count(*) |
+----------+
|     1428 |
+----------+
1 row in set (0.00 sec)

mysql> select count(*) from test.test;
+----------+
| count(*) |
+----------+
|     1598 |
+----------+
1 row in set (0.00 sec)

mysql> select count(*) from test.test;
+----------+
| count(*) |
+----------+
|     1721 |
+----------+
1 row in set (0.00 sec)

mysql> select count(*) from test.test;
+----------+
| count(*) |
+----------+
|     1983 |
+----------+
1 row in set (0.00 sec)

结论：
批量提交100万条数据用了30秒，单个提交1万条数据用了1分钟，对比发现，批量提交的效率远大于单个提交的效率