我在这里找不到与此问题相同的问题。如果这是重复,请道歉 基本上我有一个交易表。每个交易都有一个代码和一个日期时间戳。我希望能够创建一个SQL查询,以便结果看起来像这样
+------------+--------+--------+-------+--------+-------+--------+
| DATE | CODE1 | COUNT1 | CODE2 | COUNT2 | CODE3 | COUNT3 |
+------------+--------+--------+-------+--------+-------+--------+
| 2017-01-01 | George | 12 | John | 10 | Ringo | 114 |
+------------+--------+--------+-------+--------+-------+--------+
我目前有一个查询,我可以在各行上拉小计,即:
SELECT CONVERT(mytime AS DATE), code, COUNT(*) FROM transactiontable
GROUP BY CONVERT(mytime AS DATE), code
ORDER BY CONVERT(mytime AS DATE), code
会给我
DATE CODE COUNT
-----------------------------------
2017-01-01 George 12
2017-01-01 John 10
等等......
我目前没有单独的代码表,但我正在考虑它。
谢谢!
答案 0 :(得分:2)
您也可以使用PIVOT
进行此操作。
DECLARE @Table TABLE (DATE DATETIME, CODE VARCHAR(10), [COUNT] INT)
INSERT INTO @Table
VALUES
('2017-01-01','George',12),
('2017-01-01','John',10)
;WITH CTE AS
(
SELECT RN = ROW_NUMBER() OVER (ORDER BY DATE), * FROM @Table
)
SELECT * FROM
(SELECT DATE, CONCAT('CODE',RN) RN, CODE Value FROM CTE
UNION ALL
SELECT DATE, CONCAT('COUNT',RN) RN, CONVERT(VARCHAR,[COUNT]) Value FROM CTE
) SRC
PIVOT (MAX(Value) FOR RN IN ([CODE1],[COUNT1],[CODE2],[COUNT2])) PVT
结果:
DATE CODE1 COUNT1 CODE2 COUNT2
----------- ----------- ----------- -------- -------
2017-01-01 George 12 John 10
答案 1 :(得分:1)
您可以使用窗口函数row_number来形成组并使用条件聚合来进行透视:
select dt,
max(case when rn = 1 then code end) as code_1,
max(case when rn = 1 then cnt end) as code_1,
max(case when rn = 2 then code end) as code_2,
max(case when rn = 2 then cnt end) as code_2,
max(case when rn = 3 then code end) as code_3,
max(case when rn = 3 then cnt end) as code_3,
....
from (
select convert(date, mytime) as dt,
code,
count(*),
row_number() over (partition by convert(date, mytime) order by code) as rn
from transactiontable
group by convert(date, mytime), code
) t
group by dt
order by dt;