如何对两个表的两列进行交集操作并获取整行数据?

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英文:

How can I make an intersection of two columns of two tables and get the entire rows?

问题

我有一个SQLite表。让我们称它为 people

姓名 年龄
珍妮 50
约翰 80
爱丽丝 46
马克 25
哈里 33

我有另一个表 work

姓名 工作编号
珍妮 1
阿曼达 2
菲利普 3
爱丽丝 4
杰克 5
哈里 6

我想要获取那些在 peoplework 表中都有的行。但我不仅仅想要姓名。实际上,我一点也不关心姓名。我只需要它们来找到匹配的条目。我想要匹配行的 work.work_idpeople.age 列。结果应该如下所示:

工作编号 年龄
1 50
4 46
6 33

两个表都可以有数百到数千个条目。

我还需要两者之间的差异,即 work 表中姓名不在 people 表中的行。但这应该可以通过我下面概述的第二种解决方案来解决。

我正在使用 Python3 并使用内置的 sqlite3 模块来处理这个问题。但这应该是一个纯粹的SQL问题,与SQL客户端无关。

我尝试过的方法

显而易见的选择是使用 INTERSECT

SELECT Name FROM people INTERSECT SELECT Name FROM work

正如我所说,我需要 Name 列来找到表的交集,但我需要实际想要的内容,即 people.agework.work_id 列,而不是 Name


互联网引导我尝试子查询。

SELECT Name, Age FROM people WHERE Name IN (SELECT Name FROM work)

这是一种强大的技巧,但我还需要 work 表的 work_id 列,所以这不是一个解决方案。

这是否比较了 people 表中的每一行与 work 表的所有行?比较的次数是 SELECT Count(*) FROM people × SELECT Count(*) FROM work,还是有一种优化方法?

英文:

I have a SQLite table. Let's call it people.

Name Age
Jane 50
John 80
Alice 46
Mark 25
Harry 33

I have another table work.

Name work_id
Jane 1
Amanda 2
Filip 3
Alice 4
Jack 5
Harry 6

I'd like to get all rows whose name is in both people and work. But I do not only want the names. In fact I don't care about the names at all. I just need them to find the matching entries. I want the work.work_id and people.age columns of the matching rows. The result should look like this:

work_id age
1 50
4 46
6 33

Both tables can have hundreds to thousands of entries.

I also need a difference of the two i.e. The rows of work whose name isn't in people. But this should be solvable with the second solution I have outlined below.

I am doing this in Python3 using the builtin sqlite3 module. But this should be a purely SQL problem independent of the SQL client.

What I've tried

The obvious choice is to do an INTERSECT:

SELECT Name FROM people INTERSECT SELECT Name FROM work_id

As I said, I need the Name columns to find the intersection of the tables but I need the rows themselves to get the things I actually want, people.age and work.work_id, not the Names.


The internet lead me to subqueries.

SELECT Name, Age FROM people where Name IN (SELECT Name FROM work)

This is a pretty powerful technique but I also need the work_id column of work so this isn't a solution.

Is this comparing each row in people with all rows of work? Is the number of comparisons SELECT Count(*) FROM people × SELECT Count(*) FROM work or is it somehow optimized?

答案1

得分: 1

你想从两个表中选择列,这意味着你需要使用 INNER JOIN

SELECT w.work_id,
       p.Age
FROM work AS w INNER JOIN people AS p
ON p.Name = w.Name;

对于 工作中名字不在人员中的行,可以使用 NOT IN

SELECT *
FROM work
WHERE Name NOT IN (SELECT Name FROM people);

请参见演示。<br/>

英文:

You want to select columns from both tables and this means you need an INNER JOIN:

SELECT w.work_id,
       p.Age
FROM work AS w INNER JOIN people AS p
ON p.Name = w.Name;

For the rows of work whose name isn't in people use NOT IN:

SELECT *
FROM work
WHERE Name NOT IN (SELECT Name FROM people);

See the demo.<br/>

答案2

得分: -1

SELECT work_id, Age
FROM people AS p
JOIN work AS w ON p.Name = w.Name;

SELECT name, work_id
FROM work
EXCEPT
SELECT name
FROM people

英文:
SELECT work_id, Age
FROM people AS p
JOIN work AS w ON p.Name = w.Name;


SELECT name, work_id
FROM work
EXCEPT 
SELECT name
FROM people

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  • 本文由 发表于 2023年2月8日 19:32:47
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