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)

mysql存储 while批量插入数据 mysql批量提交 mysql单个提交 2022-08-17 12:08:32 582人浏览泡泡鱼

摘要

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 exi

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)