[英]How to join 2 columns in a SQL table to one column in another SQL table?
I am using MYSQL. 我正在使用MYSQL。 I have two tables in my database.
我的数据库中有两个表。
Table 1: 'courseTable' has two colums: 表1:'courseTable'有两个列:
courseId
courseName
Table 2: 'prereqTable' has two colums: 表2:'prereqTable'有两个列:
courseId
prereqCourseId
Both columns in table 2 correspond to courseId in table 1. I am trying to run a query that will result in a table that contains the courseName for the courseId and the courseName of the prereqCourseId. 表2中的两列对应于表1中的courseId。我试图运行一个查询,该查询将生成一个包含courseId的courseName和prereqCourseId的courseName的表。
I am stuck here: 我被困在这里:
SELECT `course`.courseName, `prereq`.prereqCourseId FROM `course`
LEFT OUTER JOIN `prereq`
ON `course`.courseId = `prereq`.courseId
You need to join the course table twice with referecing to prereqTable table 您需要两次加入课程表,并参考prereqTable表
SELECT a.courseName,c.courseName
FROM courseTable AS a
LEFT OUTER JOIN prereqTable AS b ON a.courseId=b.courseId
LEFT OUTER JOIN courseTable AS c ON b.prereqCourseId=c.courseId
If you want to join the same table twice, you have to use aliases. 如果要两次加入同一个表,则必须使用别名。
SELECT p.name AS parent, c.name AS child
FROM relations AS r
LEFT JOIN nodes AS p
ON(p.id=r.parent)
LEFT JOIN nodes AS c
ON(c.id=r.child )
The AS
are optional but recommended, as it improves readability and indicates you didn't just forget a comma. AS
是可选的,但建议使用,因为它提高了可读性并表明您不会忘记逗号。 Compare: 相比:
SELECT a b, c d, e, f, g, h i, ...
SELECT a AS b, c AS d, e, f, g, h AS i, ...
Joining the same table twice is possible, you just have to assign a different alias to the table in each instance so that you can select columns out of the appropriate instance of the table. 可以将同一个表连接两次,只需在每个实例中为表分配一个不同的别名,以便可以从表的相应实例中选择列。 Like so:
像这样:
SELECT
`course_main`.courseName,
`course_prereq`.courseName AS `prereqCourseName`
FROM `course` AS `course_main`
LEFT OUTER JOIN `prereq`
ON `course_main`.courseId = `prereq`.courseId
LEFT OUTER JOIN `course` AS `course_prereq`
ON `course_prereq`.courseId = `prereq`.prereqCourseId
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