更新时间:2023-02-05 23:28:29
如前所述,这实际上是不可能的,您可以得到的最接近的是:
As has been said this isn't actually possible, the closest you could get is:
January2014CalculationDate | January2014PLResult | February2014CalculationDate | February2014PLResult
---------------------------+---------------------+-----------------------------+------------------
2014-01-02 | 100 | 2014-02-03 | 300
2014-01-03 | 200 | 2014-02-04 | 400
NULL | NULL | 2014-02-27 | 500
即使这样也不简单,我仍然建议在sql之外处理这种格式.第一步是按月对数据进行分区,然后对每个月中的日期进行排名:
And even that is not simple and I would still advise handling formatting like this outside of sql. The first step is to partition the data by month, and then rank the dates in each month:
SELECT CalculationDate,
PLResult,
CalculationMonth,
DenseRank = DENSE_RANK() OVER(PARTITION BY CalculationMonth ORDER BY CalculationDate)
FROM ( SELECT CalculationDate,
PLResult,
CalculationMonth = DATEADD(MONTH, DATEDIFF(MONTH, 0, CalculationDate), 0)
FROM #PLResultPerDay
) pl;
这给出了:
CalculationDate PLResult CalculationMonth DenseRank
2014-01-02 100 2014-01-01 1
2014-01-03 200 2014-01-01 2
2014-02-03 300 2014-02-01 1
2014-02-04 400 2014-02-01 2
2014-02-27 500 2014-02-01 3
然后您可以透视此数据:
You can then pivot this data:
WITH Data AS
( SELECT CalculationDate,
PLResult,
CalculationMonth,
DenseRank = DENSE_RANK() OVER(PARTITION BY CalculationMonth ORDER BY CalculationDate)
FROM ( SELECT CalculationDate,
PLResult,
CalculationMonth = DATEADD(MONTH, DATEDIFF(MONTH, 0, CalculationDate), 0)
FROM #PLResultPerDay
) pl
)
SELECT Jan2014CalcDate = MIN(CASE WHEN CalculationMonth = '20140101' THEN CalculationDate END),
Jan2014Result = SUM(CASE WHEN CalculationMonth = '20140101' THEN PLResult END),
Feb2014CalcDate = MIN(CASE WHEN CalculationMonth = '20140201' THEN CalculationDate END),
Feb2014Result = SUM(CASE WHEN CalculationMonth = '20140201' THEN PLResult END)
FROM Data
GROUP BY DenseRank
ORDER BY DenseRank;
这给出了:
Jan2014CalcDate Jan2014Result Feb2014CalcDate Feb2014Result
2014-01-02 100 2014-02-03 300
2014-01-03 200 2014-02-04 400
NULL NULL 2014-02-27 500
然后,由于您有动态的月数,因此需要动态构建以上语句并使用SP_EXECUTESQL
来运行它:
Then since you have a dynamic number of months you need to build the above statement dynamically and use SP_EXECUTESQL
to run it:
DECLARE @SQL NVARCHAR(MAX) = '';
WITH Months AS
( SELECT M,
ColName = DATENAME(MONTH, M) + DATENAME(YEAR, M),
CharFormat = CONVERT(VARCHAR(8), M, 112)
FROM ( SELECT DISTINCT M = DATEADD(MONTH, DATEDIFF(MONTH, 0, CalculationDate), 0)
FROM #PLResultPerDay
) m
)
SELECT @SQL = 'WITH Data AS
( SELECT CalculationDate,
PLResult,
CalculationMonth,
DenseRank = DENSE_RANK() OVER(PARTITION BY CalculationMonth ORDER BY CalculationDate)
FROM ( SELECT CalculationDate,
PLResult,
CalculationMonth = DATEADD(MONTH, DATEDIFF(MONTH, 0, CalculationDate), 0)
FROM #PLResultPerDay
) pl
)
SELECT ' +
STUFF(( SELECT ', ' + ColName + 'CalculationDate = MIN(CASE WHEN CalculationMonth = ''' + CharFormat + ''' THEN CalculationDate END), ' +
ColName + 'PLResult = SUM(CASE WHEN CalculationMonth = ''' + CharFormat + ''' THEN PLResult END)'
FROM Months
ORDER BY M
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)'), 1, 2, '') +
'FROM Data
GROUP BY DenseRank
ORDER BY DenseRank;';
EXECUTE SP_EXECUTESQL @SQL;
Example on SQL Fiddle
请注意,我仍然不建议使用此技术,并且认为应保留SQL来存储/检索数据以及用于格式化数据的表示层