金融量化学习---Python, MySQL, Pandas

这里用来记录一些在金融领域,尤其是银行相关的资金、债券、票据中应用到的数据管理与分析, 编程等心得或笔记,以及个人的一点小小兴趣(易经八卦、藏密禅修)等

导航

join , left join, inner join

一,sql中left join on 多个条件需要特殊注意之处

定义:
LEFT JOIN 关键字会从左表 (table_name1) 那里返回所有的行,即使在右表 (table_name2) 中没有匹配的行。例如如下查询:

SELECT column_name(s)
FROM table_name1
LEFT JOIN table_name2 
ON table_name1.column_name=table_name2.column_name

此查询中on的条件只有一个,因此不存在特殊注意之处。但是当我们on条件如果存在多个时候会出现一些与我们预期不符的查询结果。下面以具体例子说明。

基础查询数据表

用户表:

mysql> select * from tab_user;
+---------+------+--------+----------+
| name | age | sex | addr |
+---------+------+--------+----------+
| daxin | 18 | male | beijing |
| mali | 28 | female | shandong |
| wangsan | 34 | male | beijing |
| lisi | 45 | male | liaoning |
| liwu | 58 | female | beijing |
| maoliu | 43 | male | anhui |
| zhouba | 62 | female | beijing |
+---------+------+--------+----------+
7 rows in set (0.00 sec)
订单表:

mysql> select * from tab_order;
+-------+-----------+
| name | gname |
+-------+-----------+
| daxin | Smartisan |
| mali | iPhone |
| liwu | Mac |
| lisi | xiaomi |
| maliu | nike |
+-------+-----------+
5 rows in set (0.00 sec)
查询语句1:

mysql> select * from tab_user u left join tab_order o on u.name=o.name and u.name='lisi';
+---------+------+--------+----------+------+--------+
| name | age | sex | addr | name | gname |
+---------+------+--------+----------+------+--------+
| daxin | 18 | male | beijing | NULL | NULL |
| mali | 28 | female | shandong | NULL | NULL |
| wangsan | 34 | male | beijing | NULL | NULL |
| lisi | 45 | male | liaoning | lisi | xiaomi |
| liwu | 58 | female | beijing | NULL | NULL |
| maoliu | 43 | male | anhui | NULL | NULL |
| zhouba | 62 | female | beijing | NULL | NULL |
+---------+------+--------+----------+------+--------+
7 rows in set (0.00 sec)
咋一看是不是很蒙圈,为什么已经限制了u.name='lisi'却查询结果还有lisi呢?如果换用where约束,查询语句2.

查询语句2:

mysql> select * from tab_user u left join tab_order o on u.name=o.name where u.name='lisi';
+------+------+------+----------+------+--------+
| name | age | sex | addr | name | gname |
+------+------+------+----------+------+--------+
| lisi | 45 | male | liaoning | lisi | xiaomi |
+------+------+------+----------+------+--------+
1 row in set (0.00 sec)
这次确实只有lisi了。那为什么查询语句1会与预期不符?回顾一下left join的定义,左边表会返回所有行,所以left join如果对左边表进行约束的话是不会生效的;但是,对left join的右边表添加条件的话是生效的!反之,right join 同理!

参考:
https://blog.csdn.net/Dax1n/article/details/81590910?utm_medium=distribute.pc_relevant_t0.none-task-blog-BlogCommendFromMachineLearnPai2-1.channel_param&depth_1-utm_source=distribute.pc_relevant_t0.none-task-blog-BlogCommendFromMachineLearnPai2-1.channel_param

posted on 2020-10-20 00:41  chengjon  阅读(148)  评论(0编辑  收藏  举报