Sql 如何从表中选择重复项
考虑这个名为“Customer”的非常大的表的示例:Sql 如何从表中选择重复项,sql,sql-server,Sql,Sql Server,考虑这个名为“Customer”的非常大的表的示例: CustomerID | LastName | FirstName | Address | City| -------------|----------|-----------|---------|------| 1520年|盖尔|弗朗西斯科| XPTO |伦敦|** 2214 |桑托斯|安东尼奥|图多|波尔图| 3998 | Freix | Luís | IUPO |魁北克| 1520年|盖尔|弗朗西斯科|斯普托|罗马|** 5691 |安
CustomerID | LastName | FirstName | Address | City|
-------------|----------|-----------|---------|------|
1520年|盖尔|弗朗西斯科| XPTO |伦敦|**
2214 |桑托斯|安东尼奥|图多|波尔图|
3998 | Freix | Luís | IUPO |魁北克|
1520年|盖尔|弗朗西斯科|斯普托|罗马|**
5691 |安东|安娜|蒂迪|里斯本|
1520年|盖尔|弗朗西斯科|斯普托|罗马|**
从这个小示例可以看出,对于同一个客户(CustomerID=1520
),City列中的值不同
例如,在这种情况下,所需的输出为:
CustomerID | City |
-----------|------|
1520 |London|
1520 |Rome |
我尝试开发一个查询,返回在City列中具有不同值的CustomerID
SELECT CustomerID, City
FROM (SELECT CustomerID, COUNT(DISTINCT City) FROM Customer GROUP BY CustomerID)
WHERE City > 1
有人能帮我找出我开发的查询有什么问题吗?您可以使用
HAVING
来筛选:
SELECT *
FROM Customer
WHERE CustomerID IN(SELECT CustomerID
FROM Customer
GROUP BY CustomerID
HAVING COUNT(DISTINCT City) > 1);
您可以使用
HAVING
来筛选:
SELECT *
FROM Customer
WHERE CustomerID IN(SELECT CustomerID
FROM Customer
GROUP BY CustomerID
HAVING COUNT(DISTINCT City) > 1);
如果需要城市,您可以使用
exists
:
select c.*
from customers c
where exists (select 1
from customers c2
where c2.customerid = c.customerid and c2.city <> c.city
);
如果需要城市,您可以使用
exists
:
select c.*
from customers c
where exists (select 1
from customers c2
where c2.customerid = c.customerid and c2.city <> c.city
);
您可以使用以下选项:
SELECT CustomerID, City
FROM Customer
WHERE CustomerID IN (
SELECT CustomerID
FROM Customer
GROUP BY CustomerID
HAVING COUNT(DISTINCT City) > 1
)
GROUP BY CustomerID, City;
结果:
| CustomerID | City |
|------------|--------|
| 1520 | London |
| 1520 | Rome |
您可以使用以下选项:
SELECT CustomerID, City
FROM Customer
WHERE CustomerID IN (
SELECT CustomerID
FROM Customer
GROUP BY CustomerID
HAVING COUNT(DISTINCT City) > 1
)
GROUP BY CustomerID, City;
结果:
| CustomerID | City |
|------------|--------|
| 1520 | London |
| 1520 | Rome |
@安娜。你不接受这个答案有什么原因吗?它应该比在中使用group by@Anna>的更有效。你不接受这个答案有什么原因吗?它应该比在中使用分组方式的更有效。