Afternoon Guys n Girls.
Using SQL SERVER 2008.
I have a table called userModList. Its contains fields, "USERID"(int), "ModuleID"(int), and "Passed"(bin).
example data;
USERID ModuleID Passed
134 12 1
134 10 0
134 18 1
What i would like to display is:
USERID (moduleNum12) (ModuleNum10) (ModuleNum18)
134 1 0 1
Now In MS access all you would do is create a cross query, so User ID becomes the row, Module numbers become the Columns and Passed is the values (binary 1 or 0).
I would like to do this server Side in a Stored Procedure, but I have never Attempted cross tabbing data.
Also The moduleID is dynamic meaning there may be 3 modules for a user or 17. So it needs to be dynamic, not sure if this makes a big difference?
Anyway some help on this would be great, ill try and provide some sample code Of what I will try, But as it stands I'm stuck as to where to start.
many thanks guys!
There are a few different ways that you can do this in SQL Server you can use the PIVOT function:
select userid,
[12] moduleNum12,
[10] moduleNum10,
[18] moduleNum18
from
(
select userid, moduleid, cast(passed as int) passed
from yourtable
) d
pivot
(
max(passed)
for moduleId in ([12], [10], [18])
) piv;
See Demo
Or you can use an aggregate function with a CASE expression:
select userid,
max(case when moduleid = 12 then cast(passed as int) end) moduleNum12,
max(case when moduleid = 10 then cast(passed as int) end) moduleNum10,
max(case when moduleid = 18 then cast(passed as int) end) moduleNum18
from yourtable
group by userid;
See Demo.
The above work great if the values are known nut if you have unknown values, then you will need to use dynamic SQL:
DECLARE #cols AS NVARCHAR(MAX),
#colsAlias AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT distinct ',' + QUOTENAME(ModuleID)
from yourtable
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
select #colsAlias = STUFF((SELECT distinct ', ' + QUOTENAME(ModuleID) +' as moduleNum'+cast(ModuleID as varchar(10))
from yourtable
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT userid,' + #colsAlias + '
from
(
select userid, moduleid, cast(passed as int) passed
from yourtable
) d
pivot
(
max(passed)
for moduleid in (' + #cols + ')
) p '
execute(#query)
See Demo
Related
I currently have the following script which is pivoting results from rows into columns. It works a Great, apart from two issues;
I have a flag in another table which I want to filter by (basically: WHERE Table.Stats=YES). I'd normally do this in a basic query with an inner join followed by that WHERE statement. In the query below, I already have a WHERE FileSeq=25, which works, but this criteria I need to get working is calling on a different table.
The query is returning a lot of uncessary NULL fields.
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
SELECT #cols = STUFF((SELECT ',' + QUOTENAME(col+CAST(rn AS varchar(6)))
FROM
(
SELECT row_number() over(partition by UID ORDER BY ClassCode) rn
FROM dbo.StudentClasses
) d
CROSS APPLY
(
SELECT 'ClassCode', 1
) c (col, so)
GROUP BY col, rn, so
ORDER BY rn, so
FOR XML PATH(''), TYPE
).VALUE('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT UID,' + #cols + '
FROM
(
SELECT UID, col+CAST(rn AS varchar(10)) col, VALUE
FROM
(
SELECT UID, classcode,
row_number() over(partition by UID ORDER BY classcode) rn
FROM StudentClasses WHERE FileSeq=25
) t
CROSS APPLY
(
SELECT ''classcode'', CAST(classcode AS varchar(6))
) c (col, VALUE)
) x
PIVOT
(
MAX(VALUE)
for col in (' + #cols + ')
) p '
EXECUTE(#query)
Any assistance appreciated
I have the following table with the following sample data
ID Language Question SubQuestion SubSubQuestion TotalCount TotalPercent
3 E 9 0 1 88527 73%
3 E 9 0 2 19684 16%
3 E 9 0 3 12960 11%
3 E 9 0 9 933 1%
I want all in one row like this
ID Language TotalCount901 TotalPercent901 TotalCount902 TotalPercent902 TotalCount903 TotalPercent903
3 E 88527 73% 19684 16% 12960 11%
I've tired using the pivot command, but it dosnt to work for me.
I made a few assumptions based on your column names, but it looks like you want to use something similar to this. This applies both an UNPIVOT and then a PIVOT to get the values in the columns you requested:
select *
from
(
select id,
language,
col + cast(QUESTION as varchar(10))
+cast(subquestion as varchar(10))
+cast(SubSubQuestion as varchar(10)) col,
value
from
(
select id, language,
cast(TotalCount as varchar(10)) TotalCount,
totalPercent,
question, subquestion, SubSubQuestion
from yourtable
) usrc
unpivot
(
value
for col in (totalcount, totalpercent)
) un
) srcpiv
pivot
(
max(value)
for col in ([TotalCount901], [totalPercent901],
[TotalCount902], [totalPercent902],
[TotalCount903], [totalPercent903],
[TotalCount909], [totalPercent909])
) p
See SQL Fiddle with Demo
Note: when performing the UNPIVOT the columns need to be of the same datatype. If they are not, then you will need to convert/cast to get the datatypes the same.
If you have an unknown number of values to transform, you can use dynamic sql:
DECLARE #query AS NVARCHAR(MAX),
#colsPivot as NVARCHAR(MAX)
select #colsPivot
= STUFF((SELECT ','
+ QUOTENAME(c.name +
cast(QUESTION as varchar(10))
+cast(subquestion as varchar(10))
+cast(SubSubQuestion as varchar(10)))
from yourtable t
cross apply sys.columns as C
where C.object_id = object_id('yourtable') and
C.name in ('TotalCount', 'TotalPercent')
group by c.name, t.question, t.subquestion, t.subsubquestion
order by t.SubSubQuestion
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'select *
from
(
select id,
language,
col + cast(QUESTION as varchar(10))
+cast(subquestion as varchar(10))
+cast(SubSubQuestion as varchar(10)) col,
value
from
(
select id, language,
cast(TotalCount as varchar(10)) TotalCount,
totalPercent,
question, subquestion, SubSubQuestion
from yourtable
) usrc
unpivot
(
value
for col in (totalcount, totalpercent)
) un
) srcpiv
pivot
(
max(value)
for col in (' + #colsPivot + ')
) p '
execute(#query)
See SQL Fiddle with Demo
This is probably simple but I"m just not seeing it. Your help is appreciated. I have a table in MS SQLServer that looks like this
CustomerID Time ItemID
1 2008-10-07 06:32:53:00.000 87432
1 2008-10-07 06:32:53:00.000 26413
2 2010-06-23 03:45:10:00.000 6312
2 2011-09-14 07:36:03:00.000 87432
2 2011-09-14 07:36:03:00.000 87432
I want to end up with a table that has each customer, the timestamp and the count of the items purchased during that timestamp, that looks like this
CustomerID Time 87432 26413 6312
1 2008-10-07 06:32:53:00.000 1 1 0
2 2010-06-23 03:45:10:00.000 0 0 1
2 2011-09-14 07:36:03:00.000 2 0 0
In the source table, the time and itemID are variable (and plentiful), so I'm thinking a dynamic pivot will do the trick. Is this possible to do with pivot? If so, how?
You can do this with a dynamic PIVOT. This will count the number of ItemIds that you have for any number of Times.
See a SQL Fiddle with a Demo. This demo leaves the time as a varchar as you stated they were. But this will work if the data is a datetime as well.
Since you want time in the final result, then when you select the columns, you will need to add the time column twice. I called it time1 and time. This allows you to aggregate on time1 in the PIVOT and still have a time column for your final product.
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT distinct ',' + QUOTENAME(itemid)
from temp
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT customerid, [time], ' + #cols + ' from
(
select customerid, [time] as time1, [time] as [time], itemid
from temp
) x
pivot
(
count([time1])
for itemid in (' + #cols + ')
) p '
execute(#query)
Approach #1 - Click here to see Demo
Declare #ItemIDs varchar(1000) = ''
Declare #Query varchar(8000) = ''
Select #ItemIDs = ISNULL(QuoteName(Convert(varchar, ItemID)) + ',', '')
+ #ItemIDs
From
(
Select distinct ItemID From #MyTable
)K
SET #ItemIDs = SUBSTRING(#ItemIDs,0,len(#ItemIDs))
SET #Query = 'Select CustomerID, [Time],' +
#ItemIDs + ' From
(
Select CustomerID, [Time], ItemID from #MyTable
)K Pivot
(
count(ItemID) FOR ItemID IN (' + #ItemIDs + ')
) AS pvt'
EXEC(#Query)
Approach #2 - Click here to see Demo
Select CustomerID, [Time], [87432] as [87432],
[26413] as [26413], [6312] as [6312] From
(
Select CustomerID, [Time], ItemID from #MyTable
)K Pivot
(
count(ItemID) FOR ItemID IN ([87432] , [26413],[6312])
) AS pvt
I have a bunch of data (multiple rows for each unique reference) that needs to be in one row with multiple columns. Some of columns that need to be used have to be further split out as they hold more than one value. This has been done using an unpivot. I now have 7 columns from this 1 original column and it now needs to display statuses against the new 7 columns. I cannot however use a pivot as I need to see the various statuses in the 7 columns and not a min, max or a count.
You can perform this type of shift with a PIVOT function.
Static Pivot (See SQL Fiddle for Demo):
select *
from
(
select reference, jobtypesplit, status
from t1
) x
pivot
(
min(status)
for jobtypesplit in ([DDS], [MBN], [LPN], [WEN], [LLP], [OPE], [SSE])
) p
This can also be done dynamically (See SQL Fiddle)
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT distinct ',' + QUOTENAME(jobtypesplit)
FROM t1
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT reference, ' + #cols + ' from
(
select reference, jobtypesplit, status
from t1
) x
pivot
(
min(status)
for jobtypesplit in (' + #cols + ')
) p '
execute(#query)
I have a typical RDMS setup where records in a main table can have optional records in a related table via a M2M join. I'm trying to PIVOT this data but in cases where there is no relation I want to return a default value. The join I have below is returning NULL.
select *
from
(
SELECT s.Biz_Name, la.Name AS Association, ISNULL(i.Location, 'Default') as Location
FROM dbo.ShopAssociations sa
INNER JOIN dbo.LookupAssociations la
ON sa.AssociationID = la.AssociationID
RIGHT JOIN dbo.Basic_Shop_Info s
ON sa.ShopID = s.ShopID
INNER JOIN dbo.Images i
ON la.ImageID = i.ImageID
) DataTable
PIVOT
(
min(Location)
for association in
([OnCall],[OCGuy],[ASCLogo],[ASC_OtherSt],[ASE],[AASP],[AASP_PA],
[ASE_BlueSeal],[AAA],[AAA-B],[ASA],[ATRA],[ICAR],[CAA],[ACDelco],
[Cert],[ASC],[BBB],[Goodyear],[Limos],[RVs],[Bosch],[NARSA],
[DiscTire],[BigO],[Tires],[Firestone],[ASCCA],[JustTires],[ASE_Blue])
) PivotTable
The output looks like this:
BizName OnCall OCGuy ASCLogo ASC_OtherSt ASE ...
"Wonderful Biz" somevalue somevalue NULL somevalue NULL
What I am trying to achieve is if a child record doesn't exist in INNER JOIN from Basic_Shop_Info to ShopAssociations that we get "Default" instead of NULL. I've tried ISNULL(), Coalesce() and even a CASE statement, all with the same results.
Based on your comment it sounds like you found a solution. I am only answering this to provide a suggestion based on the fact you are pivoting so many columns and they are all hard-coded. You can use dynamic SQL for a PIVOT and your query would look something like this:
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX),
#colsPivot AS NVARCHAR(MAX)
select #cols = STUFF((SELECT distinct ',' + QUOTENAME(Name)
from dbo.LookupAssociations
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
select #colsPivot = STUFF((SELECT distinct ', IsNull(' + QUOTENAME(Name) +', ''Default'')'
from dbo.LookupAssociations
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT Bizname, ' + #colsPivot + ' from
(
SELECT s.Biz_Name, la.Name AS Association, ISNULL(i.Location, ''Default'') as Location
FROM dbo.ShopAssociations sa
INNER JOIN dbo.LookupAssociations la
ON sa.AssociationID = la.AssociationID
RIGHT JOIN dbo.Basic_Shop_Info s
ON sa.ShopID = s.ShopID
INNER JOIN dbo.Images i
ON la.ImageID = i.ImageID
) x
pivot
(
min(Location)
for association in (' + #cols + ')
) p
'
execute(#query)
The value #colsPivot is adding the IsNull() around each of you columns so you can put in place the Default value. But this should provide the same result as your original query where everything was hard-coded.
This will get the list of columns at run-time so then you do not have to hard-code anything and it will accept new values without having to change the query.
I got this:
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT ',' + QUOTENAME(c.col+cast(rn as varchar(10)))
from
(
select row_number() over(partition by person_nbr
order by person_nbr,first_name, last_name, medication_name) rn
from TA_PIVOT
) d
cross apply
(
select 'diag' col, 1 sort
) c
group by col, rn, sort
order by rn, sort
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT person_nbr, first_name, last_name,medication_name,' + #cols + '
from
(
select person_nbr,first_name,last_name,medication_name,
col+cast(rn as varchar(10)) col,
value
from
(
-- when you perform an unpivot the datatypes have to be the same.
-- you might have to cast the datatypes in this query
select person_nbr,first_name,last_name, medication_name, cast(icd_code_id as varchar(500)) diag,
row_number() over(partition by person_nbr order by person_nbr, first_name, last_name,medication_name) rn
from ta_pivot
) src
unpivot
(
value
for col in (diag)
) unpiv
) d
pivot
(
max(value)
for col in (' + #cols + ')
) p '
execute(#query);