概述
批量更新mysql数据表数据,上网搜索基本都会说4~5方法,本人使用的更新方式为:INSERT ... ON DUPLICATE KEY UPDATE Syntax
可参见官方网站:insert-on-duplicate
功能:
- 表示插入时,如果遇到了主键重复或唯一索引重复,则不执行插入操作,而是执行更新操作;
注意点:
- 这种方式的批量更新,不是sql的规范,而是mysql特有的;
- 只能针对
唯一索引(UNIQUE index)
和主键索引(RIMARY KEY)
进行更新; - 对于自增主键,只会执行插入操作,不会进行更新;
- 批量更新:
values()
方法很有用;
性能:
- 对于数据量比较小的表,速度很快;
- 对于数据量大的表,性能比较差,建议考虑其他方式;
如果使用Innodb引擎,则可以考虑如下方式(因为Innodb引擎支持事务)
START TRANSACTION;
UPDATE ...
UPDATE ...
UPDATE ...
UPDATE ...
COMMIT;
values(col_name)介绍
values(col_name):表示获取将要插入的列的值,注意是将要插入(would be inserted);
原始表结构和数据
CREATE TABLE `capacity_pm` (
`id` int(11) NOT NULL AUTO_INCREMENT COMMENT '自增主键',
`pool_id` char(36) CHARACTER SET utf8 DEFAULT NULL COMMENT '资源池ID',
`cluster_lv1` varchar(255) CHARACTER SET utf8 DEFAULT NULL COMMENT '集群分类',
`cluster_lv2` varchar(255) CHARACTER SET utf8 DEFAULT NULL COMMENT '集群2级分类',
`update_at` datetime DEFAULT CURRENT_TIMESTAMP COMMENT '更新或创建时间',
`templete_id` varchar(255) CHARACTER SET utf8 NOT NULL COMMENT '模板ID',
`templete_name` varchar(255) CHARACTER SET utf8 DEFAULT NULL COMMENT '模板名称',
`templete_cpu_core` int(10) unsigned zerofill NOT NULL COMMENT '模板CPU核数',
`templete_mem_size` double NOT NULL COMMENT '模板内存大小',
`templete_disk_size` double NOT NULL COMMENT '模板磁盘大小',
`host_total` int(11) unsigned zerofill DEFAULT NULL COMMENT '主机总数',
`host_used` int(11) unsigned zerofill DEFAULT NULL COMMENT '主机已分配数量',
`cpu_core_total` int(11) unsigned zerofill DEFAULT NULL COMMENT 'cpu总核数',
`cpu_core_free` int(11) DEFAULT NULL,
`cpu_core_used` int(11) DEFAULT NULL COMMENT 'cpu已分配数量',
`cpu_core_util` double DEFAULT NULL COMMENT 'cpu核数使用占比',
`mem_total` double DEFAULT NULL COMMENT '内存总空间',
`mem_free` double DEFAULT NULL,
`mem_used` double DEFAULT NULL,
`mem_util` double DEFAULT NULL COMMENT '内存使用占比',
`disk_total` double DEFAULT NULL,
`disk_free` double DEFAULT NULL,
`disk_used` double DEFAULT NULL,
`disk_util` double DEFAULT NULL COMMENT '磁盘使用占比',
PRIMARY KEY (`id`),
UNIQUE KEY `idx_templete_all` (`pool_id`,`templete_id`) USING BTREE COMMENT '模块ID做完整索引'
) ENGINE=InnoDB AUTO_INCREMENT=70 DEFAULT CHARSET=utf8 COLLATE=utf8_bin;
INSERT INTO `capacity_pm` VALUES ('1', '7b8f0f5e2fbb4d9aa2d5fd55466d638f', null, null, '2018-04-11 15:04:31', 't001', '数据库服务器', '0000000000', '0', '0', '00000000100', '00000000010', null, null, null, null, null, null, null, null, null, null, null, null);
INSERT INTO `capacity_pm` VALUES ('2', '7b8f0f5e2fbb4d9aa2d5fd55466d638f', null, null, '2018-04-11 15:04:31', 't002', '性能性服务器', '0000000000', '0', '0', '00000000200', '00000000020', null, null, null, null, null, null, null, null, null, null, null, null);
INSERT INTO `capacity_pm` VALUES ('3', '7b8f0f5e2fbb4d9aa2d5fd55466d638f', null, null, '2018-04-11 15:04:31', 't003', '计算型服务器', '0000000000', '0', '0', '00000000300', '00000000030', null, null, null, null, null, null, null, null, null, null, null, null);
INSERT INTO `capacity_pm` VALUES ('4', '7b8f0f5e2fbb4d9aa2d5fd55466d638f', null, null, '2018-04-11 15:04:31', 't004', '存储型服务器', '0000000000', '0', '0', '00000000400', '00000000040', null, null, null, null, null, null, null, null, null, null, null, null);
INSERT INTO `capacity_pm` VALUES ('5', '7b8f0f5e2fbb4d9aa2d5fd55466d638f', null, null, '2018-04-11 15:04:31', 't005', '网络型服务器', '0000000000', '0', '0', '00000000500', '00000000050', null, null, null, null, null, null, null, null, null, null, null, null);
INSERT INTO `capacity_pm` VALUES ('6', '7b8f0f5e2fbb4d9aa2d5fd55466d638e', null, null, '2018-04-11 15:04:31', 't001', '数据库服务器', '0000000000', '0', '0', '00000001000', '00000000100', null, null, null, null, null, null, null, null, null, null, null, null);
INSERT INTO `capacity_pm` VALUES ('7', '7b8f0f5e2fbb4d9aa2d5fd55466d638e', null, null, '2018-04-11 15:04:31', 't002', '性能性服务器', '0000000000', '0', '0', '00000002000', '00000000200', null, null, null, null, null, null, null, null, null, null, null, null);
INSERT INTO `capacity_pm` VALUES ('8', '7b8f0f5e2fbb4d9aa2d5fd55466d638e', null, null, '2018-04-11 15:04:31', 't003', '计算型服务器', '0000000000', '0', '0', '00000003000', '00000000300', null, null, null, null, null, null, null, null, null, null, null, null);
INSERT INTO `capacity_pm` VALUES ('9', '7b8f0f5e2fbb4d9aa2d5fd55466d638e', null, null, '2018-04-11 15:04:31', 't004', '存储型服务器', '0000000000', '0', '0', '00000004000', '00000000400', null, null, null, null, null, null, null, null, null, null, null, null);
INSERT INTO `capacity_pm` VALUES ('10', '7b8f0f5e2fbb4d9aa2d5fd55466d638e', null, null, '2018-04-11 15:04:31', 't005', '网络型服务器', '0000000000', '0', '0', '00000005000', '00000000500', null, null, null, null, null, null, null, null, null, null, null, null);
INSERT INTO `capacity_pm` VALUES ('12', '7b8f0f5e2fbb4d9aa2d5fd55466d638e', null, null, '2018-04-11 08:12:00', 't006', '自定义服务器', '0000000000', '0', '0', '00000006000', '00000000600', null, null, null, null, null, null, null, null, null, null, null, null);
INSERT INTO `capacity_pm` VALUES ('13', '7b8f0f5e2fbb4d9aa2d5fd55466d638e', null, null, '2018-04-11 08:12:36', 't007', 'xxx服务器', '0000000000', '0', '0', '00000007000', '00000000700', null, null, null, null, null, null, null, null, null, null, null, null);
INSERT INTO `capacity_pm` VALUES ('14', '7b8f0f5e2fbb4d9aa2d5fd55466d638e', null, null, '2018-04-11 08:12:36', 't00x', '服务器xxx', '0000000000', '0', '0', '00000008000', '00000000800', null, null, null, null, null, null, null, null, null, null, null, null);
部分数据集查询如下:(该部分为重点测试的数据)
mysql> SELECT pool_id, templete_id, host_total, host_used from capacity_pm ;
+----------------------------------+-------------+------------+-----------+
| pool_id | templete_id | host_total | host_used |
+----------------------------------+-------------+------------+-----------+
| 7b8f0f5e2fbb4d9aa2d5fd55466d638f | t001 | 100 | 10 |
| 7b8f0f5e2fbb4d9aa2d5fd55466d638f | t002 | 200 | 20 |
| 7b8f0f5e2fbb4d9aa2d5fd55466d638f | t003 | 300 | 30 |
| 7b8f0f5e2fbb4d9aa2d5fd55466d638f | t004 | 400 | 40 |
| 7b8f0f5e2fbb4d9aa2d5fd55466d638f | t005 | 500 | 50 |
| 7b8f0f5e2fbb4d9aa2d5fd55466d638e | t001 | 1000 | 100 |
| 7b8f0f5e2fbb4d9aa2d5fd55466d638e | t002 | 2000 | 200 |
| 7b8f0f5e2fbb4d9aa2d5fd55466d638e | t003 | 3000 | 300 |
| 7b8f0f5e2fbb4d9aa2d5fd55466d638e | t004 | 4000 | 400 |
| 7b8f0f5e2fbb4d9aa2d5fd55466d638e | t005 | 5000 | 500 |
| 7b8f0f5e2fbb4d9aa2d5fd55466d638e | t006 | 6000 | 600 |
| 7b8f0f5e2fbb4d9aa2d5fd55466d638e | t007 | 7000 | 700 |
| 7b8f0f5e2fbb4d9aa2d5fd55466d638e | t00x | 8000 | 800 |
+----------------------------------+-------------+------------+-----------+
插入新数据-测试
- 自增主键:上表中,主键是自增主键,所以该种批量更新方式对自增主键无效(因为自增主键只会insert数据,并不会update);
- 唯一索引:UNIQUE KEY
idx_templete_all
(pool_id,templete_id)
待插入的数据,和表中的初始数据有唯一索引重复,索引会执行update操作,而非insert操作;
插入语句为:(所有的host_used都有变化)
INSERT INTO `capacity_pm`(pool_id, templete_id, host_total, host_used) values
('7b8f0f5e2fbb4d9aa2d5fd55466d638f', 't001','100', '15'),
('7b8f0f5e2fbb4d9aa2d5fd55466d638f', 't002','200', '25'),
('7b8f0f5e2fbb4d9aa2d5fd55466d638f', 't003','300', '35'),
('7b8f0f5e2fbb4d9aa2d5fd55466d638f', 't004','400', '45'),
('7b8f0f5e2fbb4d9aa2d5fd55466d638f', 't005','500', '55')
ON DUPLICATE KEY UPDATE host_total=VALUES(host_total), host_used=VALUES(host_used);
ON DUPLICATE KEY UPDATE host_total=VALUES(host_total), host_used=VALUES(host_used)
- host_total=VALUES(host_total): values(col_name)表示待插入的记录的值;
- host_used=VALUES(host_used):当需要更新多个col时,使用“,”分割;
插入结果: host_used都发生了变化
mysql> SELECT pool_id, templete_id, host_total, host_used from capacity_pm ;
+----------------------------------+-------------+------------+-----------+
| pool_id | templete_id | host_total | host_used |
+----------------------------------+-------------+------------+-----------+
| 7b8f0f5e2fbb4d9aa2d5fd55466d638f | t001 | 100 | 15 |
| 7b8f0f5e2fbb4d9aa2d5fd55466d638f | t002 | 200 | 25 |
| 7b8f0f5e2fbb4d9aa2d5fd55466d638f | t003 | 300 | 35 |
| 7b8f0f5e2fbb4d9aa2d5fd55466d638f | t004 | 400 | 45 |
| 7b8f0f5e2fbb4d9aa2d5fd55466d638f | t005 | 500 | 55 |
| 7b8f0f5e2fbb4d9aa2d5fd55466d638e | t001 | 1000 | 100 |
| 7b8f0f5e2fbb4d9aa2d5fd55466d638e | t002 | 2000 | 200 |
| 7b8f0f5e2fbb4d9aa2d5fd55466d638e | t003 | 3000 | 300 |
| 7b8f0f5e2fbb4d9aa2d5fd55466d638e | t004 | 4000 | 400 |
| 7b8f0f5e2fbb4d9aa2d5fd55466d638e | t005 | 5000 | 500 |
| 7b8f0f5e2fbb4d9aa2d5fd55466d638e | t006 | 6000 | 600 |
| 7b8f0f5e2fbb4d9aa2d5fd55466d638e | t007 | 7000 | 700 |
| 7b8f0f5e2fbb4d9aa2d5fd55466d638e | t00x | 8000 | 800 |
+----------------------------------+-------------+------------+-----------+
13 rows in set