本文实例讲述了mysql多表联合查询操作。分享给大家供大家参考，具体如下：
MySQL多表联合查询是MySQL数据库的一种查询方式，下面就为您介绍MySQL多表联合查询的语法，供您参考学习之用。
MySQL多表联合查询语法：
mysql版本大于4.0，使用UNION进行查询，示例如下：
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SELECT `id`, `name`, `date`, '' AS `type` FROM table_A WHERE 条件语句…… UNIONSELECT `id`, `name`, `date`, '未完成' AS `type` FROM table_B WHERE 条件语句…… ORDER BY `id` LIMIT num; |
mysql版本小于4.0，需要建立临时表，分为三步，示例如下：
第一步：建立临时表tmp_table_name并插入table_A中的相关记录
第二步：从table_B中取得相关记录插入临时表tmp_table_name中
第三步：从临时表tmp_table_name中取出记录
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SELECT * FROM tmp_table_name ORDER BY id DESC |
union和order by、limit区别分析
代码示例:
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CREATE TABLE `test1` ( `id` int(10) unsigned NOT NULL AUTO_INCREMENT, `name` varchar(20) NOT NULL, `desc` varchar(100) NOT NULL, PRIMARY KEY (`id`)) ENGINE=InnoDB DEFAULT CHARSET=utf8 |
1. 以下查询会报错误：[Err] 1221 - Incorrect usage of UNION and ORDER BY
代码示例:
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select * from test1 where name like 'A%' order by nameunionselect * from test1 where name like 'B%' order by name |
修改为：
代码示例:
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select * from test1 where name like 'A%'unionselect * from test1 where name like 'B%' order by name |
说明，在union中，不用括号的情况下，只能用一个order by(思考：union两边的order by的列名不一样时，会出现什么样的结果？),这会对union后的结果集进行排序。
修改为：
代码示例:
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(select * from test1 where name like 'A%' order by name)union(select * from test1 where name like 'B%' order by name) |
也是可以的，这两个order by在union前进行。
2. 同样
代码示例:
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select * from test1 where name like 'A%' limit 10unionselect * from test1 where name like 'B%' limit 20 |
相当于：
代码示例:
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(select * from test1 where name like 'A%' limit 10)union(select * from test1 where name like 'B%') limit 20 |
即后一个limit作用于的是union后的结果集，而不是union后的select。
也可以用括号括起来，以得到预期的结果：
3. UNION和UNION ALL区别
union会过滤掉union两边的select结果集中的重复的行，而union all不会过滤掉重复的行。
代码示例:
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(select * from test1 where name like 'A%' limit 10)union(select * from test1 where name like 'B%' limit 20) |
下面试一个年龄段分析的复杂sql语句
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( SELECT '5~19' AS `age`, SUM(`impression`) AS impression, SUM(`click`) AS click, sum(`cost`) AS cost FROM `adgroup_age_report` WHERE ( ( (`age` <= 19) AND (`adgroup_id` = '61') ) AND (`date` >= '2015-11-22') ) AND (`date` <= '2017-02-20'))UNION ( SELECT '20~29' AS `age`, SUM(`impression`) AS impression, SUM(`click`) AS click, sum(`cost`) AS cost FROM `adgroup_age_report` WHERE ( ( ((`age` <= 29) AND(`age` >= 20)) AND (`adgroup_id` = '61') ) AND (`date` >= '2015-11-22') ) AND (`date` <= '2017-02-20') )UNION ( SELECT '30~39' AS `age`, SUM(`impression`) AS impression, SUM(`click`) AS click, sum(`cost`) AS cost FROM `adgroup_age_report` WHERE ( ( ((`age` <= 39) AND(`age` >= 30)) AND (`adgroup_id` = '61') ) AND (`date` >= '2015-11-22') ) AND (`date` <= '2017-02-20') )UNION ( SELECT '40~49' AS `age`, SUM(`impression`) AS impression, SUM(`click`) AS click, sum(`cost`) AS cost FROM `adgroup_age_report` WHERE ( ( ((`age` <= 49) AND(`age` >= 40)) AND (`adgroup_id` = '61') ) AND (`date` >= '2015-11-22') ) AND (`date` <= '2017-02-20') )UNION ( SELECT '50~59' AS `age`, SUM(`impression`) AS impression, SUM(`click`) AS click, sum(`cost`) AS cost FROM `adgroup_age_report` WHERE ( ( ((`age` <= 59) AND(`age` >= 50)) AND (`adgroup_id` = '61') ) AND (`date` >= '2015-11-22') ) AND (`date` <= '2017-02-20') ) |
希望本文所述对大家MySQL数据库计有所帮助。
原文链接：https://www.cnblogs.com/isuben/p/3831074.html
