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);
Related
i have a following table of results:
What i want is a resulted table with following structure:
Is any posibility to do that with SQL?
Thanks in advance.
EDIT (SQL query with exampled temp table):
CREATE TABLE #FINAL_STACK
(
FB_DATE datetime,
FB_DESC VARCHAR(200)
)
INSERT INTO #FINAL_STACK(FB_DATE, FB_DESC)
SELECT '2017-03-09', 'D - FIZ: 1'
UNION
SELECT '2017-03-09', 'D - PRI: 1'
UNION
SELECT '2017-03-10', 'D - FIZ: 1'
UNION
SELECT '2017-03-10', 'D - PRI: 1'
UNION
SELECT '2017-03-13', 'D - FIZ: 2'
UNION
SELECT '2017-03-13', 'D - PRI: 1'
UNION
SELECT '2017-03-13', 'D - TEPAP: 1'
SELECT * FROM #FINAL_STACK
Try this:
DECLARE #DynammicTSQLStatement NVARCHAR(MAX)
,#DynamicPIVOTColumns NVARCHAR(MAX);
SET #DynamicPIVOTColumns = STUFF
(
(
SELECT ',[' + CAST([FB_DATE] AS VARCHAR(12)) + ']'
FROM #FINAL_STACK
GROUP BY [FB_DATE]
ORDER BY [FB_DATE]
FOR XML PATH('') ,TYPE
).value('.', 'NVARCHAR(MAX)')
,1
,1
,''
);
SET #DynammicTSQLStatement = N'
SELECT *
FROM
(
SELECT *
,ROW_NUMBER() OVER (PARTITION BY FB_DATE ORDER BY (SELECT 1)) AS RID
FROM #FINAL_STACK
) DS
PIVOT
(
MAX([FB_DESC]) FOR [FB_DATE] IN (' + #DynamicPIVOTColumns + ')
) PVT';
EXEC sp_executesql #DynammicTSQLStatement;
We need to perform dynamic pivot in order to be sure it will always work for different days. Also, note we are creating a row ID column using ROW_NUMBER in order to ensure all records for particular date are displayed. Otherwise, you will get only one value (for example the min or the max) depending on the PIVOT aggregate function.
I am using Dynamic PIVOT approach to convert the dynamic rows into columns and its working fine for me. But I have one more requirement on top of it. I am using below query:
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT ','
+ QUOTENAME(case when d.col = 'STN_CODE' then col+'_'+cast(seq as varchar(10))
else col+'_'+cast(seq as varchar(10)) end)
from ( select row_number() over(partition by POF_FILE_ID,
PART_PFX,
PART_BASE,PART_SFX
order by STN_CODE,PROCESS_ELEMENT) seq
from APT_POINT_OF_FIT
) t
cross apply
(
select 'STN_CODE', 1 union all
select 'PROCESS_ELEMENT', 2
) d (col, so)
group by col, so, seq
order by seq, so
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT POF_FILE_ID,PART_PFX,PART_BASE,PART_SFX, ' +
#cols + '
from
(
select t.POF_FILE_ID,t.PART_PFX,t.PART_BASE,t.PART_SFX,
col = case
when c.col = ''STN_CODE'' then col+''_''+cast(seq as varchar(10))
else col+''_''+cast(seq as varchar(10))
end,
value
from
(
select POF_FILE_ID,PART_PFX,PART_BASE,PART_SFX,STN_CODE,
PROCESS_ELEMENT,
row_number() over(partition by POF_FILE_ID,
PART_PFX,
PART_BASE,
PART_SFX
order by STN_CODE) seq
from APT_POINT_OF_FIT
) t
cross apply
(
select ''STN_CODE'', STN_CODE union all
select ''PROCESS_ELEMENT'', PROCESS_ELEMENT
) c (col, value)
) x
pivot
(
max(value)
for col in (' + #cols + ')
) p '
execute sp_executesql #query;
My requirement is to insert the values in separate columns till seq 8 and concatenate all other column values coming after that seq(> seq8).
Any help would be appreciated.
Thanks!
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
In the below image I have current data and expected data based on the first three columns the data need to get transpose
Table query:
drop table ##Test
CREATE TABLE ##Test
(paymentid varchar(30),
claimid bigint,
Lineno1 int,
groupcode varchar(2),
Carc int,
adjustmentamt float,
RARC varchar(30),
Edit1 varchar(30),
Remit varchar(30),
)
INSERT INTO ##Test
(paymentid ,
claimid ,
Lineno1 ,
groupcode ,
Carc ,
adjustmentamt ,
RARC ,
Edit1 ,
Remit )
VALUES
('QP18502291',14205893514,2,'CO',84,75.55,'N20','','D18')
('QP15930339',14127612308,1,'OA',23,263,'','ClaimDetail.COBAmt','') ,
('QP15930339',14127612308,1,'OA',23,21.69,'','ClaimDetail.COBAmt',''),
('QP18502291',14205893514,2,'OA',23,78.77,'','ClaimDetail.COBAmt',''),
('QP18502291',14205893514,2,'OA',97,66.55,'N20','','D18')
select * from ##Test
Possible duplicate post and take a look at the solution.
See SQL Fiddle with Demo.
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT ',' + QUOTENAME(col+cast(rn as varchar(10)))
from
(
select row_number() over(partition by paymentid order by Lineno1) rn
from ##Test
) d
cross apply
(
select 'groupcode', 1 union all
select 'carc', 2 union all
select 'adjustmentamt', 3 UNION ALL
SELECT 'rarc',4 UNION ALL
SELECT 'Edit1' ,5 UNION ALL
SELECT 'remit',6
) c (col, so)
group by col, rn, so
order by rn, so
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT paymentid, claimid,Lineno1,' + #cols + '
from
(
select paymentid, claimid,Lineno1, col+cast(rn as varchar(10)) col, value
from
(
select paymentid, claimid,Lineno1, groupcode, carc, adjustmentamt,rarc,Edit1,remit,
row_number() over(partition by paymentid order by Lineno1) rn
from ##Test
) t
cross apply
(
select ''groupcode'', groupcode union all
select ''carc'', cast(carc as varchar(50)) union all
select ''adjustmentamt'', cast(adjustmentamt as varchar(50)) union all
select ''rarc'', rarc union all
select ''Edit1'' , Edit1 union all
select ''remit'' , remit
) c (col, value)
) x pivot
(
max(value)
for col in (' + #cols + ')
) p '
execute(#query)
I want to pivot and turn an existing table and generate a report(cross tabulated). You see vals column is determined by unique combination of date_a and date_e columns. I don't know how to do this.
Something like this:
Test data
CREATE TABLE #tbl(date_a DATE,date_e DATE, vals FLOAT)
INSERT INTO #tbl
VALUES
('2/29/2012','1/1/2013',28.47),
('2/29/2012','2/1/2013',27.42),
('2/29/2012','3/1/2013',24.36),
('3/1/2012','1/1/2013',28.5),
('3/1/2012','2/1/2013',27.35),
('3/1/2012','3/1/2013',24.39),
('3/6/2012','1/1/2013',27.75),
('3/6/2012','2/1/2013',26.63),
('3/6/2012','3/1/2013',23.66)
Query
SELECT
*
FROM
(
SELECT
tbl.date_a,
tbl.date_e,
vals
FROM
#tbl AS tbl
) AS SourceTable
PIVOT
(
SUM(vals)
FOR date_e IN ([1/1/2013],[2/1/2013],[3/1/2013])
) AS pvt
DROP TABLE #tbl
EDIT
If you do not know how many columns there is then you need to do a dynamic pivot. Like this:
The unique columns
DECLARE #cols VARCHAR(MAX)
;WITH CTE
AS
(
SELECT
ROW_NUMBER() OVER(PARTITION BY date_e ORDER BY date_e) AS RowNbr,
tbl.*
FROM
#tbl AS tbl
)
SELECT #cols=STUFF
(
(
SELECT
',' +QUOTENAME(date_e)
FROM
CTE
WHERE
CTE.RowNbr=1
FOR XML PATH('')
)
,1,1,'')
Dynamic pivot
DECLARE #query NVARCHAR(4000)=
N'SELECT
*
FROM
(
SELECT
tbl.date_a,
tbl.date_e,
vals
FROM
#tbl AS tbl
) AS SourceTable
PIVOT
(
SUM(vals)
FOR date_e IN ('+#cols+')
) AS pvt'
EXECUTE(#query)