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I work on a query for SQL Server 2012. I have an issue: I can't build select
Query split Column Temp value to two Column When row in the temp table #nonparametric has the flag Allow = 1,
it must split column Temp value from #nonparametric to two column when the flag Allow = 1 .
suppose column Temp value has value 50.40 kg it must split to two column
First column with number so it will have 50.40 and it will be same Name as Parametric .
Second column with Text so it will have kg and it will be same Name as Parametric + 'Units'.
meaning Name will be ParametricUnit .
I need to build query that split this on two column when Flag Allow =1 .
create table #nonparametricdata
(
PART_ID nvarchar(50) ,
CompanyName nvarchar(50),
PartNumber nvarchar(50),
DKFeatureName nvarchar(100),
Tempvalue nvarchar(50),
FlagAllow bit
)
insert into #nonparametricdata
values
('1222','Honda','silicon','package','15.50Am',0),
('1900','MERCEIS','GLASS','family','90.00Am',1),--Build select query split data because FlagAllow=1
('5000','TOYOTA','alominia','source','70.20kg',0),
('8000','MACDA','motor','parametric','50.40kg',1),----Build select query split data because FlagAllow=1
('8900','JEB','mirror','noparametric','75.35kg',0)
create table #FinalTable
(
DKFeatureName nvarchar(50),
DisplayOrder int
)
insert into #FinalTable (DKFeatureName,DisplayOrder)
values
('package',3),
('family',4),
('source',5),
('parametric',2),
('noparametric',1)
what I try is below :
DECLARE #SelectqueryData NVARCHAR(MAX)
SELECT
#SelectqueryData = STUFF(
(
SELECT ', ' + case when B.FlagAllow = 1 then '['+A.DKFeatureName+'],['+A.DKFeatureName+'Unit]' else quotename(A.DKFeatureName) end
FROM #FinalTable A
join (Select distinct DKFeatureName,FlagAllow
From #nonparametricdata
) B on A.DKFeatureName=B.DKFeatureName
ORDER BY DisplayOrder
FOR XML PATH ('')
),1,2,''
)
select #SelectqueryData
--select #SelectqueryData from table
Expected Result is :
[noparametric], [parametric]--QueryGetNumber,[parametricUnit]--QueryGetUnitOfMeasure
, [package], [family]--QueryGetNumber,[familyUnit]--QueryGetUnitOfMeasure, [source]
when make query above it must give me result as image(for Explain Only) :
You're looking for a DYNAMIC PIVOT
Example
DECLARE #SelectqueryData NVARCHAR(MAX)
SELECT #SelectqueryData = STUFF( (
SELECT ', ' + case when B.FlagAllow = 1 then '['+A.DKFeatureName+'],['+A.DKFeatureName+'Unit]' else quotename(A.DKFeatureName) end
FROM #FinalTable A
join (Select distinct DKFeatureName,FlagAllow
From #nonparametricdata
) B on A.DKFeatureName=B.DKFeatureName
ORDER BY DisplayOrder
FOR XML PATH ('')
),1,2,''
)
Declare #SQL varchar(max) = '
Select *
From (
Select A.Part_ID
,A.PartNumber
,A.CompanyName
,B.*
From #nonparametricdata A
Cross Apply ( values ( DKFeatureName ,case when FlagAllow=1 then left(TempValue,patindex(''%[A-Z]%'',TempValue+''A'')-1) else TempValue end )
,( DKFeatureName+''Unit'',case when FlagAllow=1 then substring(TempValue,patindex(''%[A-Z]%'',TempValue+''A''),10) else null end )
) B(Item,Value)
) src
Pivot (max(value) for Item in ('+#SelectqueryData+') ) pvt
'
--Print #SQL
Exec(#SQL)
Returns
Need help on pivot.. My i/p and o/p as below(pls see the attached image)..Could u pls help me on the query...
Here created sample data for getting result
IF OBJECT_ID('Tempdb..#Temp') IS NOT NULL
DROP TABLE #Temp
;WIth cte(EmployeeID, Activity_Date,Activity_Type)
AS
(
SELECT 1,'6/20/2016' ,'Mail_send' UNION ALL
SELECT 2,'6/22/2011' ,'Mail_Received' UNION ALL
SELECT 1,'10/11/2016','Mail_Replied' UNION ALL
SELECT 3,'10/31/2016','Mail_deleted' UNION ALL
SELECT 2,'2/11/2016' ,'Mail_Forwared'
)
SELECT * INTO #Temp FROM cte
We can get the result by using dynamic Sql with Pivot
DECLARE #dynamicCol nvarchar(max),
#Sql nvarchar(max)
SELECT #dynamicCol=STUFF((SELECT DISTINCT ', ' +QUOTENAME(Activity_Type) FROM #Temp
FOR XML PATH('')),1,1,'')
SET #Sql='
SELECT [EmployeeID] , '+ #dynamicCol +' From
(
SELECT * From
#temp
)AS Src
PIVOT
(
MAX([Activity_Date]) For [Activity_Type] IN ('+#dynamicCol+')
)
AS Pvt
'
PRINT #Sql
EXEC(#Sql)
Result
EmployeeID Mail_deleted Mail_Forwared Mail_Received Mail_Replied Mail_send
--------------------------------------------------------------------------------------
1 NULL NULL NULL 10/11/2016 6/20/2016
2 NULL 2/11/2016 6/22/2011 NULL NULL
3 10/31/2016 NULL NULL NULL NULL
Try the following Query, this should serve your purpose:
select * from
(select [Employee Id],Activity_Date,Activity_Type from Employee_Activity) tbl
pivot
(
max(Activity_Date) for Activity_Type in (Mail_Send,Mail_Received,Mail_Replied,Mail_deleted,Mail_Forwarded)
)as pvt
I have a table and values as shown here
create table #example(id int primary key identity, cols varchar(255))
insert into #example(cols) values('HI,HELLO,BYE,TC')
insert into #example(cols) values('WHAT,ARE,YOU,DOING,HERE')
I need the resultant output as shown in the picture
Note : There is no limit for values i.e dynamic
This is what you are expecting
Schema:
CREATE TABLE #EXAMPLE(ID INT PRIMARY KEY IDENTITY, COLS VARCHAR(255))
INSERT INTO #EXAMPLE(COLS) VALUES('HI,HELLO,BYE,TC')
INSERT INTO #EXAMPLE(COLS) VALUES('WHAT,ARE,YOU,DOING,HERE')
Do split those comma separated values into Rows and Apply pivot
SELECT * FROM (
SELECT id
, ROW_NUMBER() OVER(PARTITION BY ID ORDER BY (SELECT 1)) AS ID2
, SPLT.CLMS.value('.','VARCHAR(MAX)') AS LIST FROM (
select id
, CAST( '<M>'+REPLACE(cols,',','</M><M>')+'</M>' AS XML) AS XML_COL from #example E
)E
CROSS APPLY E.XML_COL.nodes('/M') AS SPLT(CLMS)
)A
PIVOT
(
MAX(LIST) FOR ID2 IN ([1],[2],[3],[4],[5])
)PV
You will get result as
+----+------+-------+-----+-------+------+
| id | 1 | 2 | 3 | 4 | 5 |
+----+------+-------+-----+-------+------+
| 1 | HI | HELLO | BYE | TC | NULL |
| 2 | WHAT | ARE | YOU | DOING | HERE |
+----+------+-------+-----+-------+------+
Edit:
And now you need to go for dynamic pivot,since There is no limit for values.
DECLARE #COLS VARCHAR(MAX)='', #QRY VARCHAR(MAX)='';
SELECT #COLS =#COLS+'['+CAST( ID2 AS VARCHAR(10))+'],' FROM (
SELECT DISTINCT ROW_NUMBER() OVER(PARTITION BY ID ORDER BY (SELECT 1)) AS ID2 FROM (
select id, CAST( '<M>'+REPLACE(cols,',','</M><M>')+'</M>' AS XML) AS XML_COL from #example E
)E
CROSS APPLY E.XML_COL.nodes('/M') AS SPLT(CLMS)
)A
SELECT #COLS = LEFT(#COLS,LEN(#COLS)-1)
SELECT #QRY =
'
SELECT * FROM (
SELECT id
, ROW_NUMBER() OVER(PARTITION BY ID ORDER BY (SELECT 1)) AS ID2
, SPLT.CLMS.value(''.'',''VARCHAR(MAX)'') AS LIST FROM (
select id, CAST( ''<M>''+REPLACE(cols,'','',''</M><M>'')+''</M>'' AS XML) AS XML_COL from #example E
)E
CROSS APPLY E.XML_COL.nodes(''/M'') AS SPLT(CLMS)
)A
PIVOT
(
MAX(LIST) FOR ID2 IN ('+#COLS+ ')
)PV'
EXEC( #QRY)
Dynamic version base on split string then pivot table
Schema:
create table #example(id int primary key identity, cols varchar(255))
insert into #example(cols) values('HI,HELLO,BYE,TC')
insert into #example(cols) values('WHAT,ARE,YOU,DOING,HERE')
Calculate columns pivot
-- Calculate dynamic columns
;WITH temps AS
(
SELECT sd.* ,CAST('<x>' + replace(sd.cols, ',', '</x><x>') + '</x>' as xml) AS xmlText
FROM #example sd
),
temps1 AS
(
SELECT t.Id, t.cols, v.x.value('.','varchar(50)') AS Value
FROM temps t
CROSS APPLY
t.xmlText.nodes('/x') AS v(x)
)
SELECT #ColumnPivot = STUFF((SELECT DISTINCT CONCAT(',COL',row_number() OVER(PARTITION BY t.id ORDER BY t.Value)) FROM temps1 t FOR XML PATH('')), 1,1,'')
PRINT #ColumnPivot
Then PIVOT table
DECLARE #query nvarchar(max) =
CONCAT(N';WITH temps AS
(
SELECT sd.* ,CAST(''<x>'' + replace(sd.cols, '','', ''</x><x>'') + ''</x>'' as xml) AS xmlText
FROM #example sd
),
temps1 AS
(
SELECT t.Id, t.cols, v.x.value(''.'' , ''varchar(50)'') AS Value
FROM temps t
CROSS APPLY
t.xmlText.nodes(''/x'') AS v(x)
),
temps2 AS
(
SELECT t.* , CONCAT(''COL'',row_number() OVER(PARTITION BY t.id ORDER BY (select 1))) AS ColGroup
FROM temps1 t
)',
N'SELECT Id, cols, ' , #ColumnPiVot,
' FROM
(
select * from temps2
) AS src
PIVOT
(MAX(Value) FOR ColGroup IN (',#ColumnPiVot,')) AS pvt')
PRINT #query
exec sp_executesql #query
DROP TABLE #example
Demo link: Rextester
DECLARE #COLS AS NVARCHAR(MAX),
#QUERY AS NVARCHAR(MAX);
SET #COLS = STUFF((SELECT DISTINCT ',' + QUOTENAME(C.RN)
FROM (SELECT ID,TOKEN,COLS
,ROW_NUMBER() OVER (
PARTITION BY ID ORDER BY (
SELECT NULL
)
) AS RN
FROM #EXAMPLE
CROSS APPLY (
SELECT *
FROM UDF_SPLITSTRING(COLS, ',')
) A) C
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
SET #QUERY = 'SELECT ID,cols, ' + #COLS + ' FROM
(
SELECT ID,TOKEN,cols
,ROW_NUMBER() OVER (
PARTITION BY ID ORDER BY (
SELECT NULL
)
) AS RN
FROM #EXAMPLE
CROSS APPLY (
SELECT *
FROM UDF_SPLITSTRING(COLS, '','')
) A
) X
PIVOT
(
MAX(TOKEN)
FOR rn IN (' + #COLS + ')
) P '
exec(#QUERY)
output
ID cols 1 2 3 4 5
1 HI,HELLO,BYE,TC HI HELLO BYE TC NULL
2 WHAT,ARE,YOU,DOING,HERE WHAT ARE YOU DOING HERE
I am trying to convert column to rows. I am beginner to PIVOT. Tried below code but error is coming as 'Error converting data type nvarchar to datetime.
The incorrect value "Tot_GPS_Cnt" is supplied in the PIVOT operator.'
CREATE TABLE #tbl_Res1
(
CallDate DATETIME,
Tot_GPS_Cnt INT,
Tot_GND_Cnt INT,
Per_Ratio NUMERIC(10,2)
)
INSERT INTO #tbl_Res1
SELECT '2015-04-24 00:00:00.000','40','26','65.00' UNION ALL
SELECT '2015-04-25 00:00:00.000','22','14','63.64' UNION ALL
SELECT'2015-04-26 00:00:00.000','27','21','77.78' UNION ALL
SELECT'2015-04-27 00:00:00.000','41','23','56.10'
Source Table
Desired Output
I have tried with below query bu failing. Please help. Thanks in advance
SELECT CallDate=col, Tot_GPS_Cnt, Tot_GND_Cnt, Per_Ratio
FROM
( select CallDate, col, value from #tbl_Res1
cross apply
(
SELECT 'Tot_GPS_Cnt',cast(Tot_GPS_Cnt as varchar(10)) UNION ALL
SELECT 'Tot_GND_Cnt', cast(Tot_GND_Cnt as varchar(10)) UNION ALL
SELECT 'Per_Ratio', cast(Per_Ratio as varchar(10))
) c (col,value)
) d
PIVOT
(
max(value) for CallDate in ([Tot_GPS_Cnt], [Tot_GND_Cnt], [Per_Ratio])
) as piv
The correct syntax for PIVOT is:
PIVOT
(
<aggregation function>(<column being aggregated>)
FOR
[<column that contains the values that will become column headers>]
IN ( [first pivoted column], [second pivoted column],
... [last pivoted column])
) AS <alias for the pivot table>
Hence, you have to place date values not [Tot_GPS_Cnt], [Tot_GND_Cnt], [Per_Ratio] in place of pivoted columns:
SELECT CallDate=col, [2015-04-24], [2015-04-25], [2015-04-26], [2015-04-27]
FROM
( select CallDate, col, value from #tbl_Res1
cross apply
(
SELECT 'Tot_GPS_Cnt',cast(Tot_GPS_Cnt as varchar(10)) UNION ALL
SELECT 'Tot_GND_Cnt', cast(Tot_GND_Cnt as varchar(10)) UNION ALL
SELECT 'Per_Ratio', cast(Per_Ratio as varchar(10))
) c (col,value)
) d
PIVOT
(
max(value) for CallDate in ([2015-04-24], [2015-04-25], [2015-04-26], [2015-04-27])
) as piv
Thank you #Giorgos Betsos. I just made dynamic solution. Just wanted to share with all.
DECLARE #coldata VARCHAR(500);
DECLARE #sql VARCHAR(MAX);
SELECT #coldata = COALESCE(#coldata + '], [', '') + CONVERT(VARCHAR(10),calldate,110)
FROM #tbl_Res1;
SELECT #coldata = '[' + #coldata +']';
SELECT #coldata;
SET #sql = 'SELECT CallDate=col, ' + #coldata + '
FROM
( SELECT CallDate, col, value FROM #tbl_Res1
cross apply
(
SELECT ''Tot_GPS_Cnt'', CAST(Tot_GPS_Cnt as VARCHAR(10)) UNION ALL
SELECT ''Tot_GND_Cnt'', CAST(Tot_GND_Cnt as VARCHAR(10)) UNION ALL
SELECT ''Per_Ratio'', CAST(Per_Ratio as VARCHAR(10))
) c (col,value)
) d
PIVOT
(
MAX(value) FOR CallDate IN (' + #coldata + ')
) as piv'
SELECT #sql;
EXECUTE (#SQL);
Currently building a SELECT statement in SQL Server 2008 but would like to make this SELECT statement dynamic, so the columns can be defined based on values in a table. I heard about pivot table and cursors, but seems kind of hard to understand at my current level, here is the code;
DECLARE #date DATE = null
IF #date is null
set # date = GETDATE() as DATE
SELECT
Name,
value1,
value2,
value3,
value4
FROM ref_Table a
FULL OUTER JOIN (
SELECT
PK_ID ID,
sum(case when FK_ContainerType_ID = 1 then 1 else null) Box,
sum(case when FK_ContainerType_ID = 2 then 1 else null) Pallet,
sum(case when FK_ContainerType_ID = 3 then 1 else null) Bag,
sum(case when FK_ContainerType_ID = 4 then 1 else null) Drum
from
Packages
WHERE
#date between PackageStart AND PackageEnd
group by PK_ID ) b on a.Name = b.ID
where
Group = 0
The following works great for me , but PK_Type_ID and the name of the column(PackageNameX,..) are hard coded, I need to be dynamic and it can build itself based on present or futures values in the Package table.
Any help or guidance on the right direction would be greatly appreciated...,
As requested
ref_Table (PK_ID, Name)
1, John
2, Mary
3, Albert
4, Jane
Packages (PK_ID, FK_ref_Table_ID, FK_ContainerType_ID, PackageStartDate, PackageEndDate)
1 , 1, 4, 1JAN2014, 30JAN2014
2 , 2, 3, 1JAN2014, 30JAN2014
3 , 3, 2, 1JAN2014, 30JAN2014
4 , 4, 1, 1JAN2014, 30JAN2014
ContainerType (PK_ID, Type)
1, Box
2, Pallet
3, Bag
4, Drum
and the result should look like this;
Name Box Pallet Bag Drum
---------------------------------------
John 1
Mary 1
Albert 1
Jane 1
The following code like I said works great, the issue is the Container table is going to grow and I need to replicated the same report without hard coding the columns.
What you need to build is called a dynamic pivot. There are plenty of good references on Stack if you search out that term.
Here is a solution to your scenario:
IF OBJECT_ID('tempdb..##ref_Table') IS NOT NULL
DROP TABLE ##ref_Table
IF OBJECT_ID('tempdb..##Packages') IS NOT NULL
DROP TABLE ##Packages
IF OBJECT_ID('tempdb..##ContainerType') IS NOT NULL
DROP TABLE ##ContainerType
SET NOCOUNT ON
CREATE TABLE ##ref_Table (PK_ID INT, NAME NVARCHAR(50))
CREATE TABLE ##Packages (PK_ID INT, FK_ref_Table_ID INT, FK_ContainerType_ID INT, PackageStartDate DATE, PackageEndDate DATE)
CREATE TABLE ##ContainerType (PK_ID INT, [Type] NVARCHAR(50))
INSERT INTO ##ref_Table (PK_ID,NAME)
SELECT 1,'John' UNION
SELECT 2,'Mary' UNION
SELECT 3,'Albert' UNION
SELECT 4,'Jane'
INSERT INTO ##Packages (PK_ID, FK_ref_Table_ID, FK_ContainerType_ID, PackageStartDate, PackageEndDate)
SELECT 1,1,4,'2014-01-01','2014-01-30' UNION
SELECT 2,2,3,'2014-01-01','2014-01-30' UNION
SELECT 3,3,2,'2014-01-01','2014-01-30' UNION
SELECT 4,4,1,'2014-01-01','2014-01-30'
INSERT INTO ##ContainerType (PK_ID, [Type])
SELECT 1,'Box' UNION
SELECT 2,'Pallet' UNION
SELECT 3,'Bag' UNION
SELECT 4,'Drum'
DECLARE #DATE DATE, #PARAMDEF NVARCHAR(MAX), #COLS NVARCHAR(MAX), #SQL NVARCHAR(MAX)
SET #DATE = '2014-01-15'
SET #COLS = STUFF((SELECT DISTINCT ',' + QUOTENAME(T.[Type])
FROM ##ContainerType T
FOR XML PATH, TYPE).value('.', 'NVARCHAR(MAX)'),1,1,'')
SET #SQL = 'SELECT [Name], ' + #COLS + '
FROM (SELECT [Name], [Type], 1 AS Value
FROM ##ref_Table R
JOIN ##Packages P ON R.PK_ID = P.FK_ref_Table_ID
JOIN ##ContainerType T ON P.FK_ContainerType_ID = T.PK_ID
WHERE #DATE BETWEEN P.PackageStartDate AND P.PackageEndDate) X
PIVOT (COUNT(Value) FOR [Type] IN (' + #COLS + ')) P
'
PRINT #COLS
PRINT #SQL
SET #PARAMDEF = '#DATE DATE'
EXEC SP_EXECUTESQL #SQL, #PARAMDEF, #DATE=#DATE
Output:
Name Bag Box Drum Pallet
Albert 0 0 0 1
Jane 0 1 0 0
John 0 0 1 0
Mary 1 0 0 0
Static Query:
SELECT [Name],[Box],[Pallet],[Bag],[Drum] FROM
(
SELECT *
FROM
(
SELECT rf.Name,cnt.[Type], pk.PK_ID AS PKID, rf.PK_ID AS RFID
FROM ref_Table rf INNER JOIN Packages pk ON rf.PK_ID = pk.FK_ref_Table_ID
INNER JOIN ContanerType cnt ON cnt.PK_ID = pk.FK_ContainerType_ID
) AS SourceTable
PIVOT
(
COUNT(PKID )
FOR [Type]
IN ( [Box],[Pallet],[Bag],[Drum])
) AS PivotTable
) AS Main
ORDER BY RFID
Dynamic Query:
DECLARE #columnList nvarchar (MAX)
DECLARE #pivotsql nvarchar (MAX)
SELECT #columnList = STUFF(
(
SELECT ',' + '[' + [Type] + ']'
FROM ContanerType
FOR XML PATH( '')
)
,1, 1,'' )
SET #pivotsql =
N'SELECT [Name],' + #columnList + ' FROM
(
SELECT *
FROM
(
SELECT rf.Name,cnt.[Type], pk.PK_ID AS PKID, rf.PK_ID AS RFID
FROM ref_Table rf INNER JOIN Packages pk ON rf.PK_ID = pk.FK_ref_Table_ID
INNER JOIN ContanerType cnt ON cnt.PK_ID = pk.FK_ContainerType_ID
) AS SourceTable
PIVOT
(
COUNT(PKID )
FOR [Type]
IN ( ' + #columnList + ')
) AS PivotTable
) AS Main
ORDER BY RFID;'
EXEC sp_executesql #pivotsql
Following my tutorial below will help you to understand the PIVOT functionality:
We write sql queries in order to get different result sets like full, partial, calculated, grouped, sorted etc from the database tables. However sometimes we have requirements that we have to rotate our tables. Sounds confusing?
Let's keep it simple and consider the following two screen grabs.
SQL Table:
Expected Results:
Wow, that's look like a lot of work! That is a combination of tricky sql, temporary tables, loops, aggregation......, blah blah blah
Don't worry let's keep it simple, stupid(KISS).
MS SQL Server 2005 and above has a function called PIVOT. It s very simple to use and powerful. With the help of this function we will be able to rotate sql tables and result sets.
Simple steps to make it happen:
Identify all the columns those will be part of the desired result set.
Find the column on which we will apply aggregation(sum,ave,max,min etc)
Identify the column which values will be the column header.
Specify the column values mentioned in step3 with comma separated and surrounded by square brackets.
So, if we now follow above four steps and extract information from the above sales table, it will be as below:
Year, Month, SalesAmount
SalesAmount
Month
[Jan],[Feb] ,[Mar] .... etc
We are nearly there if all the above steps made sense to you so far.
Now we have all the information we need. All we have to do now is to fill the below template with required information.
Template:
Our SQL query should look like below:
SELECT *
FROM
(
SELECT SalesYear, SalesMonth,Amount
FROM Sales
) AS SourceTable
PIVOT
(
SUM(Amount )
FOR SalesMonth
IN ( [Jan],[Feb] ,[Mar],
[Apr],[May],[Jun] ,[Jul],
[Aug],[Sep] ,[Oct],[Nov] ,[Dec])
) AS PivotTable;
In the above query we have hard coded the column names. Well it's not fun when you have to specify a number of columns.
However, there is a work arround as follows:
DECLARE #columnList nvarchar (MAX)
DECLARE #pivotsql nvarchar (MAX)
SELECT #columnList = STUFF(
(
SELECT ',' + '[' + SalesMonth + ']'
FROM Sales
GROUP BY SalesMonth
FOR XML PATH( '')
)
,1, 1,'' )
SET #pivotsql =
N'SELECT *
FROM
(
SELECT SalesYear, SalesMonth,Amount
FROM Sales
) AS SourceTable
PIVOT
(
SUM(Amount )
FOR SalesMonth
IN ( ' + #columnList +' )
) AS PivotTable;'
EXEC sp_executesql #pivotsql
Hopefully this tutorial will be a help to someone somewhere.
Enjoy coding.