SQL CROSS JOIN
最近在讲到T-SQL查询的Join部分时,一下子没有想起来CROSS JOIN的用法,因为其实平常也确实基本不用到。特意找了一个例子,以供参考
CROSS JOIN又称为笛卡尔乘积,实际上是把两个表乘起来。以下资料摘自:http://www.sqlguides.com/sql_cross_join.php
SQL CROSS JOIN will return all records where each row from the first table is combined with each row from the second table. Which also mean CROSS JOIN returns the Cartesian product of the sets of rows from the joined tables.
A CROSS JOIN can be specified in two ways: using the JOIN syntax or by listing the tables in the FROM clause separated by commas without using a WHERE clause to supply join criteria.
SQL CROSS JOIN syntax:
SELECT * FROM [TABLE 1] CROSS JOIN [TABLE 2]
OR
SELECT * FROM [TABLE 1], [TABLE 2]
EXAMPLE :
Let's try with 2 tables below:
Table 1: GameScores
PlayerName | DepartmentId | Scores |
Jason | 1 | 3000 |
Irene | 1 | 1500 |
Jane | 2 | 1000 |
David | 2 | 2500 |
Paul | 3 | 2000 |
James | 3 | 2000 |
Table 2: Departments
DepartmentId | DepartmentName |
1 | IT |
2 | Marketing |
3 | HR |
SQL statement :
SELECT* FROM GameScores CROSS JOIN Departments
Result:
PlayerName | DepartmentId | Scores | DepartmentId | DepartmentName |
Jason | 1 | 3000 | 1 | IT |
Irene | 1 | 1500 | 1 | IT |
Jane | 2 | 1000 | 1 | IT |
David | 2 | 2500 | 1 | IT |
Paul | 3 | 2000 | 1 | IT |
James | 3 | 2000 | 1 | IT |
Jason | 1 | 3000 | 2 | Marketing |
Irene | 1 | 1500 | 2 | Marketing |
Jane | 2 | 1000 | 2 | Marketing |
David | 2 | 2500 | 2 | Marketing |
Paul | 3 | 2000 | 2 | Marketing |
James | 3 | 3000 | 2 | Marketing |
Jason | 1 | 3000 | 3 | HR |
Irene | 1 | 1500 | 3 | HR |
Jane | 2 | 1000 | 3 | HR |
David | 2 | 2500 | 3 | HR |
Paul | 3 | 2000 | 3 | HR |
James | 3 | 3000 | 3 | HR |
【推荐】国内首个AI IDE,深度理解中文开发场景,立即下载体验Trae
【推荐】编程新体验,更懂你的AI,立即体验豆包MarsCode编程助手
【推荐】抖音旗下AI助手豆包,你的智能百科全书,全免费不限次数
【推荐】轻量又高性能的 SSH 工具 IShell:AI 加持,快人一步
· 记一次.NET内存居高不下排查解决与启示
· 探究高空视频全景AR技术的实现原理
· 理解Rust引用及其生命周期标识(上)
· 浏览器原生「磁吸」效果!Anchor Positioning 锚点定位神器解析
· 没有源码,如何修改代码逻辑?
· 全程不用写代码,我用AI程序员写了一个飞机大战
· MongoDB 8.0这个新功能碉堡了,比商业数据库还牛
· 记一次.NET内存居高不下排查解决与启示
· 白话解读 Dapr 1.15:你的「微服务管家」又秀新绝活了
· DeepSeek 开源周回顾「GitHub 热点速览」