Problem
I’ve read everything there is to know about MS pivot tables, but I’m still having trouble getting this right.
I’m working on a temporary table with three columns: column 1 is a store number, column 2 is a week number, and column 3 is a total of some sort. The Week numbers are also dynamic, whereas the shop numbers are fixed.
Store Week xCount
------- ---- ------
102 1 96
101 1 138
105 1 37
109 1 59
101 2 282
102 2 212
105 2 78
109 2 97
105 3 60
102 3 123
101 3 220
109 3 87
I’d like it to look like this when it’s finished:
Store 1 2 3 4 5 6....
-----
101 138 282 220
102 96 212 123
105 37
109
Numbers should be written down the side and weeks should be written across the top.
Asked by Lynn
Solution #1
If you’re using SQL Server 2005 or later, the PIVOT function can be used to convert data from rows to columns.
If the weeks are uncertain, it appears that you will need to use dynamic sql, although it is easier to examine the correct code using a hard-coded version at first.
First, some simple table definitions and data to get you started:
CREATE TABLE yt
(
[Store] int,
[Week] int,
[xCount] int
);
INSERT INTO yt
(
[Store],
[Week], [xCount]
)
VALUES
(102, 1, 96),
(101, 1, 138),
(105, 1, 37),
(109, 1, 59),
(101, 2, 282),
(102, 2, 212),
(105, 2, 78),
(109, 2, 97),
(105, 3, 60),
(102, 3, 123),
(101, 3, 220),
(109, 3, 87);
If you know your values, you can hard-code the query:
select *
from
(
select store, week, xCount
from yt
) src
pivot
(
sum(xcount)
for week in ([1], [2], [3])
) piv;
See SQL Demo
If you need to dynamically produce the week number, your code will be:
DECLARE @cols AS NVARCHAR(MAX),
@query AS NVARCHAR(MAX)
select @cols = STUFF((SELECT ',' + QUOTENAME(Week)
from yt
group by Week
order by Week
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set @query = 'SELECT store,' + @cols + ' from
(
select store, week, xCount
from yt
) x
pivot
(
sum(xCount)
for week in (' + @cols + ')
) p '
execute(@query);
See SQL Demo.
The dynamic version creates a list of week numbers to be transformed into columns. Both provide the same outcome:
| STORE | 1 | 2 | 3 |
---------------------------
| 101 | 138 | 282 | 220 |
| 102 | 96 | 212 | 123 |
| 105 | 37 | 78 | 60 |
| 109 | 59 | 97 | 87 |
Answered by Taryn
Solution #2
This is for a variable number of weeks.
Here’s the complete example: SQL Dynamic Pivot
DECLARE @DynamicPivotQuery AS NVARCHAR(MAX)
DECLARE @ColumnName AS NVARCHAR(MAX)
--Get distinct values of the PIVOT Column
SELECT @ColumnName= ISNULL(@ColumnName + ',','') + QUOTENAME(Week)
FROM (SELECT DISTINCT Week FROM #StoreSales) AS Weeks
--Prepare the PIVOT query using the dynamic
SET @DynamicPivotQuery =
N'SELECT Store, ' + @ColumnName + '
FROM #StoreSales
PIVOT(SUM(xCount)
FOR Week IN (' + @ColumnName + ')) AS PVTTable'
--Execute the Dynamic Pivot Query
EXEC sp_executesql @DynamicPivotQuery
Answered by Enkode
Solution #3
I’ve done something similar before using subqueries. So, if your original table was StoreCountsByWeek and you had a separate table with Store IDs, it would look like this:
SELECT StoreID,
Week1=(SELECT ISNULL(SUM(xCount),0) FROM StoreCountsByWeek WHERE StoreCountsByWeek.StoreID=Store.StoreID AND Week=1),
Week2=(SELECT ISNULL(SUM(xCount),0) FROM StoreCountsByWeek WHERE StoreCountsByWeek.StoreID=Store.StoreID AND Week=2),
Week3=(SELECT ISNULL(SUM(xCount),0) FROM StoreCountsByWeek WHERE StoreCountsByWeek.StoreID=Store.StoreID AND Week=3)
FROM Store
ORDER BY StoreID
This technique has the advantage of having clearer syntax and making it easier to join to other tables to include additional fields in the results.
Running this query through a few thousand rows took less than a second, and I got 7 subqueries, according to my anecdotal data. However, as mentioned in the comments, doing it this way is more computationally expensive, so use caution if you anticipate it to run on big amounts of data.
Answered by Eric Barr
Solution #4
Here’s what you can do to help:
SELECT *
FROM yourTable
PIVOT (MAX(xCount)
FOR Week in ([1],[2],[3],[4],[5],[6],[7])) AS pvt
DEMO
Answered by Praveen Nambiar
Solution #5
I’m building a sp that might be useful for this; basically, this sp pivots any table and returns a new table pivoted or simply the set of data; here’s how to run it:
Exec dbo.rs_pivot_table @schema=dbo,@table=table_name,@column=column_to_pivot,@agg='sum([column_to_agg]),avg([another_column_to_agg]),',
@sel_cols='column_to_select1,column_to_select2,column_to_select1',@new_table=returned_table_pivoted;
Please note that column names must begin with ‘[‘ and the parameter must conclude with a comma ‘,’ in the parameter @agg.
SP
Create Procedure [dbo].[rs_pivot_table]
@schema sysname=dbo,
@table sysname,
@column sysname,
@agg nvarchar(max),
@sel_cols varchar(max),
@new_table sysname,
@add_to_col_name sysname=null
As
--Exec dbo.rs_pivot_table dbo,##TEMPORAL1,tip_liq,'sum([val_liq]),sum([can_liq]),','cod_emp,cod_con,tip_liq',##TEMPORAL1PVT,'hola';
Begin
Declare @query varchar(max)='';
Declare @aggDet varchar(100);
Declare @opp_agg varchar(5);
Declare @col_agg varchar(100);
Declare @pivot_col sysname;
Declare @query_col_pvt varchar(max)='';
Declare @full_query_pivot varchar(max)='';
Declare @ind_tmpTbl int; --Indicador de tabla temporal 1=tabla temporal global 0=Tabla fisica
Create Table #pvt_column(
pivot_col varchar(100)
);
Declare @column_agg table(
opp_agg varchar(5),
col_agg varchar(100)
);
IF EXISTS (SELECT * FROM sys.objects WHERE object_id = OBJECT_ID(@table) AND type in (N'U'))
Set @ind_tmpTbl=0;
ELSE IF OBJECT_ID('tempdb..'+ltrim(rtrim(@table))) IS NOT NULL
Set @ind_tmpTbl=1;
IF EXISTS (SELECT * FROM sys.objects WHERE object_id = OBJECT_ID(@new_table) AND type in (N'U')) OR
OBJECT_ID('tempdb..'+ltrim(rtrim(@new_table))) IS NOT NULL
Begin
Set @query='DROP TABLE '+@new_table+'';
Exec (@query);
End;
Select @query='Select distinct '+@column+' From '+(case when @ind_tmpTbl=1 then 'tempdb.' else '' end)+@schema+'.'+@table+' where '+@column+' is not null;';
Print @query;
Insert into #pvt_column(pivot_col)
Exec (@query)
While charindex(',',@agg,1)>0
Begin
Select @aggDet=Substring(@agg,1,charindex(',',@agg,1)-1);
Insert Into @column_agg(opp_agg,col_agg)
Values(substring(@aggDet,1,charindex('(',@aggDet,1)-1),ltrim(rtrim(replace(substring(@aggDet,charindex('[',@aggDet,1),charindex(']',@aggDet,1)-4),')',''))));
Set @agg=Substring(@agg,charindex(',',@agg,1)+1,len(@agg))
End
Declare cur_agg cursor read_only forward_only local static for
Select
opp_agg,col_agg
from @column_agg;
Open cur_agg;
Fetch Next From cur_agg
Into @opp_agg,@col_agg;
While @@fetch_status=0
Begin
Declare cur_col cursor read_only forward_only local static for
Select
pivot_col
From #pvt_column;
Open cur_col;
Fetch Next From cur_col
Into @pivot_col;
While @@fetch_status=0
Begin
Select @query_col_pvt='isnull('+@opp_agg+'(case when '+@column+'='+quotename(@pivot_col,char(39))+' then '+@col_agg+
' else null end),0) as ['+lower(Replace(Replace(@opp_agg+'_'+convert(varchar(100),@pivot_col)+'_'+replace(replace(@col_agg,'[',''),']',''),' ',''),'&',''))+
(case when @add_to_col_name is null then space(0) else '_'+isnull(ltrim(rtrim(@add_to_col_name)),'') end)+']'
print @query_col_pvt
Select @full_query_pivot=@full_query_pivot+@query_col_pvt+', '
--print @full_query_pivot
Fetch Next From cur_col
Into @pivot_col;
End
Close cur_col;
Deallocate cur_col;
Fetch Next From cur_agg
Into @opp_agg,@col_agg;
End
Close cur_agg;
Deallocate cur_agg;
Select @full_query_pivot=substring(@full_query_pivot,1,len(@full_query_pivot)-1);
Select @query='Select '+@sel_cols+','+@full_query_pivot+' into '+@new_table+' From '+(case when @ind_tmpTbl=1 then 'tempdb.' else '' end)+
@schema+'.'+@table+' Group by '+@sel_cols+';';
print @query;
Exec (@query);
End;
GO
Here’s an example of how it’s done:
Exec dbo.rs_pivot_table @schema=dbo,@table=##TEMPORAL1,@column=tip_liq,@agg='sum([val_liq]),avg([can_liq]),',@sel_cols='cod_emp,cod_con,tip_liq',@new_table=##TEMPORAL1PVT;
The result of Select * From ##TEMPORAL1PVT is:
Answered by MelgoV
Post is based on https://stackoverflow.com/questions/15931607/convert-rows-to-columns-using-pivot-in-sql-server