使用SQL Server 2008 R2。我不确定这是否可行,但我想将两列分组并将它们的差异放在新列中。用一个例子解释可能更容易:
BEFORE:: [DATE] [ID] [AMT] [TYPE] 2013-01-11 36374DCD-47FE-48D8-8E70-8D3B37385311 2 20 2013-01-11 36374DCD-47FE-48D8-8E70-8D3B37385311 10 21 2013-01-11 4434E2D5-1D08-45FA-AADF-F653BF9A0D97 4 20 2013-01-11 4434E2D5-1D08-45FA-AADF-F653BF9A0D97 4 21 AFTER:: [DATE] [ID] [AMT 20] [AMT 21] 2013-01-11 36374DCD-47FE-48D8-8E70-8D3B37385311 2 10 2013-01-11 4434E2D5-1D08-45FA-AADF-F653BF9A0D97 4 4
这是我到目前为止的SQL:
SELECT
CAST(TransDate AS DATE) AS [TransDate],ItemID,COUNT(TransactionTypeID) AS [TransAmt], TransactionTypeID
FROM
Transactions
WHERE
TransDate BETWEEN '2013-01-01 10:00:00' AND '2013-02-01 10:00:00'
AND TransactionTypeID IN (20,21)
GROUP BY
CAST(TransDate AS DATE),ItemID,TransactionTypeID
感谢任何帮助,谢谢!
答案 0 :(得分:1)
bluefeet回答可能是最好的方法,但如果你的查询变得更复杂,你可以随时使用尽可能多的UNIONS:)
SELECT
CAST(TransDate AS DATE) AS [TransDate],ItemID,COUNT(TransactionTypeID) AS [TransAmt], TransactionTypeID
FROM
Transactions
WHERE
TransDate BETWEEN '2013-01-01 10:00:00' AND '2013-02-01 10:00:00'
AND TransactionTypeID IN (20)
GROUP BY
CAST(TransDate AS DATE),ItemID,TransactionTypeID
UNION
SELECT
CAST(TransDate AS DATE) AS [TransDate],ItemID,COUNT(TransactionTypeID) AS [TransAmt], TransactionTypeID
FROM
Transactions
WHERE
TransDate BETWEEN '2013-01-01 10:00:00' AND '2013-02-01 10:00:00'
AND TransactionTypeID IN (21)
GROUP BY
CAST(TransDate AS DATE),ItemID,TransactionTypeID
答案 1 :(得分:0)
您可以使用带CASE
的聚合函数将行转换为列:
SELECT CAST(TransDate AS DATE) AS [TransDate],
ItemID,
count(case when TransactionTypeID=20 then TransactionTypeID end) Amt_20,
count(case when TransactionTypeID=21 then TransactionTypeID end) Amt_21
FROM Transactions
WHERE
TransDate BETWEEN '2013-01-01 10:00:00' AND '2013-02-01 10:00:00'
AND TransactionTypeID IN (20,21)
GROUP BY CAST(TransDate AS DATE),ItemID;
由于您使用的是SQL Server,因此也可以使用PIVOT
函数编写:
select TransDate,
ItemId,
[20] as Amt_20,
[21] as Amt_21
FROM
(
SELECT CAST(TransDate AS DATE) AS [TransDate],
ItemID,
TransactionTypeID
FROM Transactions
WHERE TransDate BETWEEN '2013-01-01 10:00:00' AND '2013-02-01 10:00:00'
AND TransactionTypeID IN (20,21)
) d
pivot
(
count(TransactionTypeID)
for TransactionTypeID in ([20], [21])
) piv