SQL Pivot with multiple columns

Question

Need help with the pivot clause in sql server 2008. I have a table with this info:

Weekno    DayOfWeek     FromTime    ToTime
1         2             10:00       14:00
1         3             10:00       14:00
2         3             08:00       13:00
2         4             09:00       13:00
2         5             14:00       22:00
3         1             06:00       13:00
3         4             06:00       13:00
3         5             14:00       22:00

I want to convert this into a table that looks like this:

Week    Start1    End1    Start2    End2    Start3    End3    Start4    End4    Start5    End5    Start6    End6    Start7    End7
1                         10:00     14:00   10:00     14:00
2                                           08:00     13:00   09:00     13:00   14:00     22:00
3       06:00     13:00                                       06:00     13:00   14:00     22:00

Is there any way to do with a pivot query? Please write respond with an example on how to do it.

I appreciate any kind of help on this. Thanks in advance.

possible duplicate of [Multiple Column Pivot in T-SQL](http://stackoverflow.com/questions/947281/multiple-column-pivot-in-t-sql) — Ryan Gates, Mar 12 '14 at 17:41

score 15 · Answer 1 · edited Aug 29 '17 at 12:59

Here's the pivot version:

https://data.stackexchange.com/stackoverflow/query/7295/so3241450

-- SO3241450

CREATE TABLE #SO3241450 (
    Weekno int NOT NULL
    ,DayOfWeek int NOT NULL
    ,FromTime time NOT NULL
    ,ToTime time NOT NULL
)

INSERT INTO #SO3241450 VALUES
(1, 2, '10:00', '14:00')
,(1, 3, '10:00', '14:00')
,(2, 3, '08:00', '13:00')
,(2, 4, '09:00', '13:00')
,(2, 5, '14:00', '22:00')
,(3, 1, '06:00', '13:00')
,(3, 4, '06:00', '13:00')
,(3, 5, '14:00', '22:00')

;WITH Base AS (
    SELECT Weekno, DayOfWeek, FromTime AS [Start], ToTime AS [End]
    FROM #SO3241450
)
,norm AS (
SELECT Weekno, ColName + CONVERT(varchar, DayOfWeek) AS ColName, ColValue
FROM Base
UNPIVOT (ColValue FOR ColName IN ([Start], [End])) AS pvt
)
SELECT *
FROM norm
PIVOT (MIN(ColValue) FOR ColName IN ([Start1], [End1], [Start2], [End2], [Start3], [End3], [Start4], [End4], [Start5], [End5], [Start6], [End6], [Start7], [End7])) AS pvt

Absolutely Brilliant! I can now pivot and display as many columns as I want. Thank you! I would caveat this by saying that during the UnPivot process (before Pivoting at the end) all the columns are thrown into a single column. This is fine for this example, but if you're mixing numbers, dates, and strings, I would suggest casting everything as a VarChar to avoid errors (and then casting back to their original datatypes if needed). — MikeTeeVee, Sep 27 '11 at 17:17

score 8 · Answer 2 · answered Jul 13 '10 at 21:06

I personally hate pivots- hard to read and unweidly.

CREATE TABLE #test
(
    WeekNo int,
    [DayOfWeek] int,
    FromTime time,
    ToTime time
    )

INSERT INTO #test
SELECT 1,2,'10:00','14:00'
UNION ALL
SELECT 1,3,'10:00','14:00'
UNION ALL
SELECT 2,3,'08:00','13:00'
UNION ALL
SELECT 2,4,'09:00','13:00'
UNION ALL
SELECT 2,5,'14:00','22:00'
UNION ALL
SELECT 3,1,'06:00','13:00'
UNION ALL
SELECT 3,4,'06:00','13:00'
UNION ALL
SELECT 3,5,'14:00','22:00'

SELECT WeekNo, 
    MAX(CASE WHEN DayOfWeek = 1 THEN FromTime ELSE NULL END)  AS Start1,
    MAX(CASE WHEN DayOfWeek = 1 THEN ToTime ELSE NULL END)  AS End1,
    MAX(CASE WHEN DayOfWeek = 2 THEN FromTime ELSE NULL END)  AS Start2,
    MAX(CASE WHEN DayOfWeek = 2 THEN ToTime ELSE NULL END)  AS End2,
    MAX(CASE WHEN DayOfWeek = 3 THEN FromTime ELSE NULL END)  AS Start3,
    MAX(CASE WHEN DayOfWeek = 3 THEN ToTime ELSE NULL END)  AS End3,
    MAX(CASE WHEN DayOfWeek = 4 THEN FromTime ELSE NULL END)  AS Start4,
    MAX(CASE WHEN DayOfWeek = 4 THEN ToTime ELSE NULL END)  AS End4,
    MAX(CASE WHEN DayOfWeek = 5 THEN FromTime ELSE NULL END)  AS Start5,
    MAX(CASE WHEN DayOfWeek = 5 THEN ToTime ELSE NULL END)  AS End5,
    MAX(CASE WHEN DayOfWeek = 6 THEN FromTime ELSE NULL END)  AS Start6,
    MAX(CASE WHEN DayOfWeek = 6 THEN ToTime ELSE NULL END)  AS End6,
    MAX(CASE WHEN DayOfWeek = 7 THEN FromTime ELSE NULL END)  AS Start7,
    MAX(CASE WHEN DayOfWeek = 7 THEN ToTime ELSE NULL END)  AS End7
    FROM #test
    GROUP BY WeekNo

And it'll blow the socks off of a pivot; performance wise.

Looks like a draw between the two approaches performance wise. — Martin Smith, Jul 13 '10 at 21:22
@Martin Smith - Mine has to UNPIVOT first. Because of that, I would have thought the traditional "pivot" would have been faster. — Cade Roux, Jul 13 '10 at 21:26
Can't really tell based on this data set; would need to create some large test data. Even with this tiny data the cross tab is performing better (0ms vs 6ms). But check out the execution plans if you're interested in the differences. — Mike M., Jul 13 '10 at 21:31
I did already. Both showing 50% cost when run together. Both 1 table scan and remarkably similar execution plans. A few extra operators in the PIVOT/UNPIVOT but not contributing anything significant to the cost. Socks mildly ruffled perhaps but decidedly not blown off! — Martin Smith, Jul 13 '10 at 22:46
I'm not able to access SQL right now but i'm fairly certain with a couple million rows we can see a good disparity. If I can't blow your socks off I'll eat 'em! :) — Mike M., Jul 14 '10 at 01:27
@Mike - Yep sorry. I just tried with half a million rows and you were absolutely correct a couple of those additional operators start becoming important and CPU time goes through the roof. — Martin Smith, Jul 14 '10 at 07:54

score 0 · Answer 3 · edited Feb 13 '13 at 13:52

I think the CASE WHEN will only work if there are only unique Weekno and DayofWeek as it will only return records of latest start and end time and filter out the rest. Example

Weekno    DayOfWeek     FromTime    ToTime
1         2             10:00       14:00
1         2             07:00       09:00
2         3             08:00       13:00
2         4             09:00       13:00

It will only return the first row of weekno 1 of DayofWeek 2 and skip the second row.

SQL Pivot with multiple columns

3 Answers3

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