mysql存储中使用while批量插入数据(批量提交和单个提交的区别)
目录
批量提交
完整写法
单个提交
完整写法
结论
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
以上为个人经验，希望能给大家一个参考，也希望大家多多支持软件开发网。
