Here are the sample data :
CalculationDatePLResult
2014-01-02 100
2014-01-03 200
2014-02-03 300
2014-02-04 400
2014-02-27 500
Here are the expected result (in logical format) :
January February
CalculationDatePLResultCalculationDatePLResult
2014-01-02 100 2014-02-03 300
2014-01-03 200 2014-02-04 400
2014-02-27 500
Here are the expected result (using T-SQL Query) :
Jan-CalculationDateJan-PLResultFeb-CalculationDateFeb-PLResult
2014-01-02 100 2014-02-03 300
2014-01-03 200 2014-02-04 400
2014-02-27 500
Objective:
Here are the scripts to populate the sample data :
CREATE TABLE #PLResultPerDay ( CalculationDate DATETIME, PLResult DECIMAL(18,8) )
INSERT INTO #PLResultPerDay ( CalculationDate, PLResult ) VALUES ('2014-01-02' , 100 )
INSERT INTO #PLResultPerDay ( CalculationDate, PLResult ) VALUES ('2014-01-03' , 200 )
INSERT INTO #PLResultPerDay ( CalculationDate, PLResult ) VALUES ('2014-02-03' , 300 )
INSERT INTO #PLResultPerDay ( CalculationDate, PLResult ) VALUES ('2014-02-04' , 400 )
So far here is my attempt in building the query :
SELECT
CalculationDate, [January], CalculationDate, [February]
FROM
(
SELECT CalculationDate, PLResult, DATENAME(MONTH, CalculationDate) AS [MTH]
FROM #PLResultPerDay
) x
PIVOT
(
MIN(PLResult)
FOR [MTH] IN ([January], [February])
) p
You can output query results vertically instead of a table format. Just type \G instead of a ; when you end you queries in mysql prompt.
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
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;
This gives:
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
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;
This gives:
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
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
Please note, I still advise against this technique, and think SQL should be left to storing/retrieving data, and the presentation layer for formatting it
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