My Input Table is
+--------+----------+----------+-------+
| userid | teamname | task1 | task2 |
+--------+----------+----------+-------+
| 101 | T1 | 101task1 | desc1 |
| 101 | T1 | 101task2 | desc2 |
| 101 | T2 | 101task1 | desc3 |
| 101 | T2 | 101task2 | desc4 |
| 101 | T2 | 101task2 | desc5 |
| 102 | T3 | 102task1 | desc6 |
| 102 | T3 | 102task2 | desc7 |
| 102 | T3 | 102task3 | desc8 |
| 102 | T3 | 102task4 | desc9 |
+--------+----------+----------+-------+
I want the output as follow, to pivot(dynamic) task1+task2
+--------+----------+----------------+----------------+----------------+----------------+
| userid | teamname | 1 | 2 | 3 | 4 |
+--------+----------+----------------+----------------+----------------+----------------+
| 101 | T1 | 101task1 desc1 | 101task2 desc2 | | |
| 101 | T2 | 101task1 desc3 | 101task2 desc4 | 101task2 desc5 | |
| 102 | T3 | 102task1 desc6 | 102task2 desc7 | 102task3 desc8 | 102task4 desc9 |
+--------+----------+----------------+----------------+----------------+----------------+
I tried to pivot task1 and it worked like sample code SampleCode,
but when I pivot max(task1+task2) I get error
You need to combine them in source of pivot table and use them by giving them an alias.
set #query = 'SELECT userid,teamname,' + #cols + ' from
(
select userid,
teamname,
concat(task1,task2) as col, --Combine here
ROW_NUMBER() OVER(PARTITION BY userid,teamname order by task1 asc) AS Row#
from #yt
) x
pivot
(
max(col) --Alias used here
for row# in (' + #cols + ')
) p '
execute(#query);
Edit : To add a space in between fields
set #query = 'SELECT userid,teamname,' + #cols + ' from
(
select userid,
teamname,
CONCAT(task1,SPACE(1),task2) col,
ROW_NUMBER()OVER(PARTITION BY userid,teamname order by task1 asc) AS Row#
from #yt
) x
pivot
(
max(col)
for row# in (' + #cols + ')
) p '
execute(#query);
Related
I want to join 2 tables such that I get the NAR for every combination of Type and BillingID where it exists.
Where a BillingID doesn't have a certain Type, then either NULL or 0 is returned for the NAR along with the Type and BillingID.
Is something like this even possible using SQL?
A simplified version of my data is shown below:
Type list:
+----------+
| Type |
+----------+
| NEW |
| CHNG |
| LAP |
+----------+
Data:
+----------+-----------+-----+
| Type | BillingID | NAR |
+----------+-----------+-----+
| NEW | ABC | 5 |
| CHNG | ABC | 15 |
| LAP | ABC | 10 |
| CHNG | DEF | 20 |
+----------+-----------+-----+
Desired result:
+----------+-----------+-----+
| Type | BillingID | NAR |
+----------+-----------+-----+
| NEW | ABC | 5 |
| CHNG | ABC | 15 |
| LAP | ABC | 10 |
| CHNG | DEF | 20 |
| NEW | DEF | 0 |
| LAP | DEF | 0 |
+----------+-----------+-----+
The last 2 rows are what is causing me problems.
I think you can do it like this:
declare #table table (type1 varchar(5))
insert into #table
values
('new'),
('chng'),
('lap')
declare #table2 table (typeid varchar(5),billingid varchar(5),nar int)
insert into #table2
values
( 'NEW', 'ABC', 5 ),
( 'CHNG' , 'ABC', 15 ),
( 'LAP' , 'ABC', 10 ),
( 'CHNG' , 'DEF', 20 )
select Z.*,case when c.nar IS null then 0 else c.nar end as nar from (
select * from #table a
outer apply (select distinct billingid from #table2 b ) p
)Z
left join #table2 c on Z.type1 = c.typeid and Z.billingid = c.billingid
order by billingid
Result
I have a table with below structure:
+-------+-----------+--------+----------+--------+
| RefNo | TranType | Code | Remarks | Amount |
+-------+-----------+--------+----------+--------+
| 1 | BD | 400201 | abcc dfr | 200 |
| 1 | BD | 400202 | abcc dfr | 200 |
| 2 | BD | 400204 | defrt | 300 |
| 2 | BD | 400205 | defrt | 300 |
+-------+-----------+--------+----------+--------+
I need to transpose these values to the below format:
+-------+--------+--------+----------+----------+--------+
| RefNo | Code1 | Code2 | TranType | Remarks | Amount |
+-------+--------+--------+----------+----------+--------+
| 1 | 400201 | 400202 | BD | abcc dfr | 200 |
| 2 | 400204 | 400205 | BD | defrt | 300 |
+-------+--------+--------+----------+----------+--------+
You don't need to use PIVOT, you can do it using a simple query.
SELECT t1.refno,
t1.code AS Code1,
t2.code AS Code2,
t1.trantype,
t1.amount
FROM #table t1
INNER JOIN #table t2
ON t1.refno = t2.refno
AND T1.code < T2.code
Online Demo
You can try the following query.
;WITH Tab (RefNo,Code,TranType,Remarks,Amount,rowno)
AS
(SELECT T.RefNo
, T.Code
,TranType
,Remarks
,Amount
, RN = ROW_NUMBER() OVER (PARTITION BY T.RefNo ORDER BY T.Code )
FROM Table1 T)
SELECT RefNo,Code1 = MAX( CASE WHEN N.rowno=1 THEN N.Code ELSE 0 END ),
Code2 = MAX( CASE WHEN N.rowno=2 THEN N.Code ELSE 0 END ) ,
TranType,Remarks,Amount FROM Tab n
GROUP BY N.RefNo,TranType,Remarks,Amount
I'm having a serious problem with one of my import tables. I've imported an Excel file to a SQL Server table. The table ImportExcelFile now looks like this (simplified):
+----------+-------------------+-----------+------------+--------+--------+-----+---------+
| ImportId | Excelfile | SheetName | Field1 | Field2 | Field3 | ... | Field10 |
+----------+-------------------+-----------+------------+--------+--------+-----+---------+
| 1 | C:\Temp\Test.xlsx | Sheet1 | Age / Year | 2010 | 2011 | | 2018 |
| 2 | C:\Temp\Test.xlsx | Sheet1 | 0 | Value1 | Value2 | | Value9 |
| 3 | C:\Temp\Test.xlsx | Sheet1 | 1 | Value1 | Value2 | | Value9 |
| 4 | C:\Temp\Test.xlsx | Sheet1 | 2 | Value1 | Value2 | | Value9 |
| 5 | C:\Temp\Test.xlsx | Sheet1 | 3 | Value1 | Value2 | | Value9 |
| 6 | C:\Temp\Test.xlsx | Sheet1 | 4 | Value1 | Value2 | | Value9 |
| 7 | C:\Temp\Test.xlsx | Sheet1 | 5 | NULL | NULL | | NULL |
+----------+-------------------+-----------+------------+--------+--------+-----+---------+
I now want to insert those values from Field1 to Field10 to the table AgeYear(in my original table there are about 70 columns and 120 rows). The first row (Age / Year, 2010, 2011, ...) is the header row. The column Field1 is the leading column. I want to save the values in the following format:
+-----------+-----+------+--------+
| SheetName | Age | Year | Value |
+-----------+-----+------+--------+
| Sheet1 | 0 | 2010 | Value1 |
| Sheet1 | 0 | 2011 | Value2 |
| ... | ... | ... | ... |
| Sheet1 | 0 | 2018 | Value9 |
| Sheet1 | 1 | 2010 | Value1 |
| Sheet1 | 1 | 2011 | Value2 |
| ... | ... | ... | ... |
| Sheet1 | 1 | 2018 | Value9 |
| ... | ... | ... | ... |
+-----------+-----+------+--------+
I've tried the following query:
DECLARE #sql NVARCHAR(MAX) =
';WITH cte AS
(
SELECT i.SheetName,
ROW_NUMBER() OVER(PARTITION BY i.SheetName ORDER BY i.SheetName) AS rn,
' + #columns + ' -- #columns = 'Field1, Field2, Field3, Field4, ...'
FROM dbo.ImportExcelFile i
WHERE i.Sheetname LIKE ''Sheet1''
)
SELECT SheetName,
age Age,
y.[Year]
FROM cte
CROSS APPLY
(
SELECT Field1 age
FROM dbo.ImportExcelFile
WHERE SheetName LIKE ''Sheet1''
AND ISNUMERIC(Field1) = 1
) a (age)
UNPIVOT
(
[Year] FOR [Years] IN (' + #columns + ')
) y
WHERE rn = 1'
EXEC (#sql)
So far I'm getting the desired ages and years. My problem is that I don't know how I could get the values. With UNPIVOT I don't get the NULL values. Instead it fills the whole table with the same values even if they are NULL in the source table.
Could you please help me?
Perhaps an alternative approach. This is not dynamic, but with the help of a CROSS APPLY and a JOIN...
The drawback is that you'll have to define the 70 fields.
Example
;with cte0 as (
Select A.ImportId
,A.SheetName
,Age = A.Field1
,B.*
From ImportExcelFile A
Cross Apply ( values ('Field2',Field2)
,('Field3',Field3)
,('Field10',Field10)
) B (Item,Value)
)
,cte1 as ( Select * from cte0 where ImportId=1 )
Select A.SheetName
,[Age] = try_convert(int,A.Age)
,[Year] = try_convert(int,B.Value)
,[Value] = A.Value
From cte0 A
Join cte1 B on A.Item=B.Item
Where A.ImportId>1
Returns
I have not found an answer yet, so this may not be possible.
I am looking for a pivot query that will replace a pivoted NULL row with the last value available for the column that was not NULL. If the First row is Null then rows are NULL until a row has a value.
Updated When CID changes the rows start as new rows. So if the first row of CID 3 is Null, then the value is null.
Here is my pivot query
DECLARE #Columns AS VARCHAR(MAX)
DECLARE #Query VARCHAR(MAX)
DECLARE #TEMP_DB VARCHAR(255)
SET #TEMP_DB = 'Demo_DataSet'
SELECT #Columns =
COALESCE(#Columns + ', ','') + QUOTENAME(AttrName)
FROM
(
SELECT DISTINCT AttrName
FROM Demo_FirstPass_Data_Raw
) AS B
ORDER BY B.AttrName
SET #Query = '
WITH PivotData AS
(
SELECT
DocID
, Customer
, Version
, CID
, AttrName
, AttrText
FROM Demo_FirstPass_Data_Raw
)
SELECT
DocID
, Customer
, Version
, CID
, ' + #Columns + '
INTO Demo_FirstPass_Data_Pivot
FROM PivotData
PIVOT
(
MAX(AttrText)
FOR AttrName
IN (' + #Columns + ')
) AS PivotResult
Where Version = Version
ORDER BY DocID, Version, CID'
DECLARE #SQL_SCRIPT VARCHAR(MAX)
SET #SQL_SCRIPT = REPLACE(#Query, '' + #TEMP_DB + '', #TEMP_DB)
EXECUTE (#SQL_SCRIPT)
My result is
DocID | Customer | Version | CID | Username | Sales_Order | Date | Description
1852 | Acme | 1 | 2 | User1 | NULL | 11/17/2010 | Product
1852 | Acme | 2 | 2 | NULL | NULL | NULL | NULL
1852 | Acme | 3 | 2 | NULL | NULL | 12/15/2010 | NULL
1852 | Acme | 4 | 2 | NULL | NULL | NULL | NULL
1852 | Acme | 5 | 2 | NULL | S-0001 | 11/17/2010 | NULL
1852 | Acme | 7 | 2 | NULL | S-0001 | NULL | NULL
1852 | Acme | 8 | 2 | NULL | NULL | 1/14/2011 | NULL
1852 | Acme | 9 | 2 | NULL | NULL | NULL | NULL
1852 | Acme | 10 | 2 | NULL | NULL | NULL | NULL
1852 | Acme | 1 | 3 | User2 | NULL | 10/10/2010 | Product
1852 | Acme | 2 | 3 | NULL | NULL | NULL | NULL
1852 | Acme | 3 | 3 | NULL | NULL | 12/15/2010 | NULL
What I am looking for is
DocID | Customer | Version | CID | Username | Sales_Order | Date | Description
1852 | Acme | 1 | 2 | User1 | NULL | 11/17/2010 | Product
1852 | Acme | 2 | 2 | User1 | NULL | 11/17/2010 | Product
1852 | Acme | 3 | 2 | User1 | NULL | 12/15/2010 | Product
1852 | Acme | 4 | 2 | User1 | NULL | 12/15/2010 | Product
1852 | Acme | 5 | 2 | User1 | S-0001 | 11/17/2010 | Product
1852 | Acme | 7 | 2 | User1 | S-0001 | 11/17/2010 | Product
1852 | Acme | 8 | 2 | User1 | S-0001 | 1/14/2011 | Product
1852 | Acme | 9 | 2 | User1 | S-0001 | 1/14/2011 | Product
1852 | Acme | 10 | 2 | User1 | S-0001 | 1/14/2011 | Product
1852 | Acme | 1 | 3 | User2 | NULL | 10/10/2010 | Product
1852 | Acme | 2 | 3 | User2 | NULL | 10/10/2010 | Product
1852 | Acme | 3 | 3 | User2 | NULL | 12/15/2010 | Product
Any help is appreciated.
For an unknown number of columns and to integrate into a dynamic pivot, one option is to generate the code for a recursive cte and use that to retain the last non null value based on your partitions like so:
declare #Columns as nvarchar(max)
declare #Query nvarchar(max)
declare #temp_db nvarchar(255)
set #temp_db = 'Demo_DataSet'
select #Columns =
coalesce(#Columns + ', ','') + quotename(AttrName)
from
(
select distinct AttrName
from Demo_FirstPass_Data_Raw
) as B
order by B.AttrName
/* generate isnull statements for columns in recursive cte */
declare #isnull nvarchar(max) = stuff((
select distinct ', isnull(t.'+quotename(d.AttrName)+',cte.'+quotename(d.AttrName)+')'
from Demo_FirstPass_Data_Raw d
order by 1
for xml path (''), type).value('(./text())[1]','nvarchar(max)')
,1,2,'')
set #Query = 'with PivotData as (
select Docid, Customer, Version, cid, AttrName, AttrText
from Demo_FirstPass_Data_Raw
)
, t as (
select
Docid, Customer, Version, cid
, ' + #Columns + '
, rn = row_number() over (partition by DocId, Customer, cid order by Version)
from PivotData
pivot(max(AttrText) for AttrName in (' + #Columns + ')) as PivotResult
)
, cte as (
select [Docid], [Customer], [Version], [cid], ' + #Columns + ', rn
from t
where version = 1
union all
select t.[Docid], t.[Customer], t.[Version], t.[cid]
, '+ #isnull + '
'+',t.rn
from t
inner join cte
on t.rn = cte.rn+1
and t.docid = cte.docid
and t.customer = cte.customer
and t.cid = cte.cid
)
select *
from cte
order by docid, customer, cid, version
'
select #query
exec sp_executesql #query
rextester demo: http://rextester.com/OQZOW62536
code generated:
with PivotData as (
select Docid, Customer, Version, cid, AttrName, AttrText
from Demo_FirstPass_Data_Raw
)
, t as (
select
Docid, Customer, Version, cid
, [Date], [Description], [Sales_Order], [Username]
, rn = row_number() over (partition by DocId, Customer, cid order by Version)
from PivotData
pivot(max(AttrText) for AttrName in ([Date], [Description], [Sales_Order], [Username])) as PivotResult
)
, cte as (
select [Docid], [Customer], [Version], [cid], [Date], [Description], [Sales_Order], [Username], rn
from t
where version = 1
union all
select t.[Docid], t.[Customer], t.[Version], t.[cid]
, isnull(t.[Date],cte.[Date]), isnull(t.[Description],cte.[Description]), isnull(t.[Sales_Order],cte.[Sales_Order]), isnull(t.[Username],cte.[Username])
,t.rn
from t
inner join cte
on t.rn = cte.rn+1
and t.docid = cte.docid
and t.customer = cte.customer
and t.cid = cte.cid
)
select *
from cte
order by docid, customer, cid, version
results:
+-------+----------+---------+-----+------------+-------------+-------------+----------+----+
| Docid | Customer | Version | cid | Date | Description | Sales_Order | Username | rn |
+-------+----------+---------+-----+------------+-------------+-------------+----------+----+
| 1852 | Acme | 1 | 2 | 2010-11-17 | Product | NULL | User1 | 1 |
| 1852 | Acme | 2 | 2 | 2010-11-17 | Product | NULL | User1 | 2 |
| 1852 | Acme | 3 | 2 | 2010-12-15 | Product | NULL | User1 | 3 |
| 1852 | Acme | 4 | 2 | 2010-12-15 | Product | NULL | User1 | 4 |
| 1852 | Acme | 5 | 2 | 2010-11-17 | Product | S-0001 | User1 | 5 |
| 1852 | Acme | 7 | 2 | 2010-11-17 | Product | S-0001 | User1 | 6 |
| 1852 | Acme | 8 | 2 | 2011-01-14 | Product | S-0001 | User1 | 7 |
| 1852 | Acme | 9 | 2 | 2011-01-14 | Product | S-0001 | User1 | 8 |
| 1852 | Acme | 10 | 2 | 2011-01-14 | Product | S-0001 | User1 | 9 |
| 1852 | Acme | 1 | 3 | 2010-10-10 | Product | NULL | User2 | 1 |
| 1852 | Acme | 2 | 3 | 2010-10-10 | Product | NULL | User2 | 2 |
| 1852 | Acme | 3 | 3 | 2010-12-15 | Product | NULL | User2 | 3 |
+-------+----------+---------+-----+------------+-------------+-------------+----------+----+
I want to transpose my table.
I have simple 'Person' table as shown below.
+---+----------+------------+------------+----------------------+
|ID | Person | BirthDate | Phone | Email |
+---+----------+------------+------------+----------------------+
| 1 | Tom | 1985-11-08 | 1111111111 | tom#somedomain.com |
+---+----------+------------+------------+----------------------+
| 2 | Dick | 1982-02-24 | 2222222222 | dick#otherdomain.com |
+---+----------+------------+------------+----------------------+
| 3 | Harry | 1986-04-17 | 3333333333 | harry#thatdomain.com |
+---+----------+------------+------------+----------------------+
And I want this table to be transposed like below.
+-----------+--------------------+----------------------+----------------------+
| Key | Value1 | Value2 | Value3 |
+-----------+--------------------+----------------------+----------------------+
| ID | 1 | 2 | 3 |
+-----------+--------------------+----------------------+----------------------+
| Person | Tom | Dick | Harry |
+-----------+--------------------+----------------------+----------------------+
| BirthDate | 1985-11-08 | 1982-02-24 | 1986-04-17 |
+-----------+--------------------+----------------------+----------------------+
| Phone | 1111111111 | 2222222222 | 3333333333 |
+-----------+--------------------+----------------------+----------------------+
| Email | tom#somedomain.com | dick#otherdomain.com | harry#thatdomain.com |
+-----------+--------------------+----------------------+----------------------+
I am using MS SQL server 2008 R2.
Try this.. First u need to unpivot the columns using Cross apply to get the data in single row. Then pivot that row to get the result.
CREATE TABLE #tt
(ID INT,Person VARCHAR(50),BirthDate DATE,
Phone BIGINT,Email VARCHAR(50)
)
INSERT INTO #tt
VALUES (1,'Tom','1985-11-08',1111111111,'tom#somedomain.com' ),
( 2,'Dick','1982-02-24',2222222222,'dick#otherdomain.com'),
( 3,'Harry ','1986-04-17',3333333333,'harry#thatdomain.com' )
SELECT [key],
Max([value1]) [value1],
Max([value2]) [value2],
Max([value3]) [value3]
FROM (SELECT 'value' + CONVERT(VARCHAR(30), id) valued,
*
FROM #tt
CROSS apply (VALUES ('ID',
CONVERT(VARCHAR(50), ID)),
('Person',Person),
('BirthDate',CONVERT(VARCHAR(50), BirthDate)),
('Phone',CONVERT(VARCHAR(50), Phone)),
('Email',Email)) cp ([key], data))a
PIVOT (Max(data)
FOR valued IN([value1],[value2],[value3])) piv
GROUP BY [key]
DYNAMIC VERSION
Declare #cols varchar(max)='',#aggcols varchar(max)='',#sql nvarchar(max)
SELECT #cols+= ',value' + CONVERT(VARCHAR(30), id)
FROM #tt
SELECT #aggcols+= ',max([value' + CONVERT(VARCHAR(30), id) +']) value' + CONVERT(VARCHAR(30), id)
FROM #tt
select #cols= right(#cols,LEN(#cols)-1)
select #aggcols =right(#aggcols,LEN(#aggcols)-1)
set #sql = 'SELECT [key],
'+#aggcols+'
FROM (SELECT ''value'' + CONVERT(VARCHAR(30), id) valued,
*
FROM #tt
CROSS apply (VALUES (''ID'',CONVERT(VARCHAR(50), ID)),
(''Person'',Person),
(''BirthDate'',CONVERT(VARCHAR(50), BirthDate)),
(''Phone'',CONVERT(VARCHAR(50), Phone)),
(''Email'',Email)) cp ([key], data))a
PIVOT (Max(data)
FOR valued IN('+#cols+')) piv
GROUP BY [key] '
execute sp_executesql #sql
OUTPUT
+----------+--------------------+---------------------+----------------------+
|key | value1 | value2 | value3 |
+----------+--------------------+---------------------+----------------------+
|BirthDate | 1985-11-08 | 1982-02-24 | 1986-04-17 |
+----------+--------------------+---------------------+----------------------+
|Email | tom#somedomain.com |dick#otherdomain.com | harry#thatdomain.com |
+----------+--------------------+---------------------+----------------------+
|ID | 1 | 2 | 3 |
+----------+--------------------+---------------------+----------------------+
|Person | Tom | Dick | Harry |
+----------+--------------------+---------------------+----------------------+
|Phone | 1111111111 | 2222222222 | 3333333333 |
+----------+--------------------+---------------------+----------------------+