Want to create logic in SQL Server to create a derived column based on comparing two comma-separated columns.
Sample table data -
Create table ##table1 (ID INT Identity Primary Key, FulfillmentChannelStatus varchar(255),RoleAlternateSourcingChannel varchar (255))
insert into ##table1 values ('Filled,Open,In-process','Internal,Recruiter,Contractor')
,('Open,In-process,New','Contractor,Internal,Recruiter')
,('New,Filled','Contractor,Recruiter ')
,('Filled','Recruiter')
,('Open,New,Filled','Internal,Recruiter,Contractor')
,('Filled,Filled,Filled','Internal,Contractor,Recruiter')
,('Open ,Filled, In-proces','Contractor,Internal,Recruiter')
,('Filled','Others')
,('Cancelled,Filled','Contractor,Recruiter')
,('Cancelled, Filled, Cancel - In Process','Contractor,Recruiter,Internal')
Logic for new column--
--select * from ##tble
DECLARE #separator CHAR(1) = ','
SELECT
[Role Id],[RoleAlternateSourcingChannel],[FulfillmentChannelStatus] , [Filled fulfil] = x.value('(/root/r[sql:column("t.pos")]/text())[1]', 'VARCHAR(10)')
into ##temp FROM ##tble
CROSS APPLY (SELECT x = TRY_CAST('<root><r><![CDATA[' +
REPLACE([FulfillmentChannelStatus], #separator, ']]></r><r><![CDATA[') +
']]></r></root>' AS XML)
.query('
for $x in /root/r[text()="Filled"][1]
return count(root/r[. << $x]) + 1
').value('text()[1]','INT')) AS t(pos)
CROSS APPLY (SELECT TRY_CAST('<root><r><![CDATA[' +
REPLACE([RoleAlternateSourcingChannel], #separator, ']]></r><r><![CDATA[') +
']]></r></root>' AS XML)) AS t2(x)
Scenario: I have two comma-separated columns
1 . I need to calculate values for only "Filled" values (in column [Role Alternate Sourcing Channel])
2. In 1st first row- I have a Filled value for Internal Scheduling in column ([RoleAlternateSourcingChannel]) so in the output column – it will be Internal.
3. In 2nd row – I don’t have any Filled so the output will be Null.
4. in 3rd row - I have a Filled value for Recruiter so the output will be Recruiter.
And so on…
5.In Row 6 for all value is filled so the output will be a recruiter. because preference of Recruiter>Internal>Contractor
Other than Recruiter/Internal/ Contractor all filled values will be Null.
The position of Filled value is not fixed. It can be anywhere such as - either at 1st place/position or 2nd place or in 3rd place.
Expected Output -
|+----+------------------------+----------------------------+---------------+
| ID |FulfillmentChannelStatus|RoleAlternateSourcingChannel| Filled fulfil |
+----+------------------------+----------------------------+---------------+
| 1 | Filled,Open,In-process | Internal,Recruiter,Contractor | Internal |
| 2 | Open,In-process,New | Contractor,Internal,Recruiter | NULL |
| 3 | New,Filled | Contractor,Recruiter | Recruiter |
| 4 | Filled | Recruiter | Recruiter |
| 5 | Open,New,Filled | Internal,Recruiter,Contractor | Contractor |
| 6 | Filled,Filled,Filled | Internal,Contractor,Recruiter | Recruiter |
| 7 | Open ,Filled, In-process| Contractor,Internal,Recruiter | Internal |
| 8 | Filled | Others | Null
| 9 | Cancelled, Filled, Cancel - In Procecess|Contractor,Internal,Recruiter | Internal
| 10| Cancelled, Filled| Internal,Recruiter| Recruiter
+----+------------------------+-------+--------+----------------------------+
**Question:** I tried Query2, For all other cases it is working fine now but for Row 9 and 10 O/P is Null but it should be Internal and Recruiter respectively.
A minimal reproducible example ##1-4 is not provided.
Shooting from the hip.
Please try the following solution based on XQuery.
XML and XQuery data model is based on ordered sequences, exactly what we need.
You moved the goalposts in the middle of the game.
I made just the "Recruiter","Internal","Contractor" as a legitimate
values for the RoleAlternateSourcingChannel column. Everything
else is filtered out.
I don't see any easy way to handle the preference of
Recruiter>Internal>Contractor for the row #6.
SQL #1
-- DDL and sample data population, start
DECLARE #tbl TABLE (ID INT IDENTITY PRIMARY KEY, FulfillmentChannelStatus VARCHAR(255), RoleAlternateSourcingChannel VARCHAR(255));
INSERT INTO #tbl (FulfillmentChannelStatus, RoleAlternateSourcingChannel) VALUES
('Filled,Open,In-process', 'Internal,Recruiter,Contractor'),
('Open,In-process,New', 'Contractor,Internal,Recruiter'),
('New,Filled', 'Contractor,Recruiter'),
('Filled', 'Recruiter'),
('Open,New,Filled', 'Internal,Recruiter,Contractor'),
('Filled,Filled,Filled', 'Internal,Contractor,Recruiter'),
('Open,Filled,In-process', 'Contractor,Internal,Recruiter'),
('Filled', 'Others');
-- DDL and sample data population, end
DECLARE #separator CHAR(1) = ',';
SELECT tbl.*
, Result = x.value('(/root/r[sql:column("t.pos")]/text())[1]', 'VARCHAR(10)')
FROM #tbl AS tbl
CROSS APPLY (SELECT x = TRY_CAST('<root><r><![CDATA[' +
REPLACE(FulfillmentChannelStatus, #separator, ']]></r><r><![CDATA[') +
']]></r></root>' AS XML)
.query('
if (count(/root/r[text()="Filled"]) eq 1) then
for $x in /root/r[text()="Filled"]
return count(root/r[. << $x]) + 1
else ()
').value('text()[1]','INT')) AS t(pos)
CROSS APPLY (SELECT TRY_CAST('<root><r><![CDATA[' +
REPLACE(RoleAlternateSourcingChannel, #separator, ']]></r><r><![CDATA[') +
']]></r></root>' AS XML).query('<root>
{
for $x in /root/r[text()=("Recruiter","Internal","Contractor")]
return $x
}
</root>
')) AS t2(x);
Output
+----+--------------------------+-------------------------------+------------+
| ID | FulfillmentChannelStatus | RoleAlternateSourcingChannel | Result |
+----+--------------------------+-------------------------------+------------+
| 1 | Filled,Open,In-process | Internal,Recruiter,Contractor | Internal |
| 2 | Open,In-process,New | Contractor,Internal,Recruiter | NULL |
| 3 | New,Filled | Contractor,Recruiter | Recruiter |
| 4 | Filled | Recruiter | Recruiter |
| 5 | Open,New,Filled | Internal,Recruiter,Contractor | Contractor |
| 6 | Filled,Filled,Filled | Internal,Contractor,Recruiter | NULL |
| 7 | Open,Filled,In-process | Contractor,Internal,Recruiter | Internal |
| 8 | Filled | Others | NULL |
+----+--------------------------+-------------------------------+------------+
SQL #2
DB fiddle
-- DDL and sample data population, start
DECLARE #tbl TABLE (ID INT IDENTITY PRIMARY KEY, FulfillmentChannelStatus VARCHAR(255), RoleAlternateSourcingChannel VARCHAR(255));
INSERT INTO #tbl (FulfillmentChannelStatus, RoleAlternateSourcingChannel) VALUES
('Filled,Open,In-process', 'Internal,Recruiter,Contractor'),
('Open,In-process,New', 'Contractor,Internal,Recruiter'),
('New,Filled', 'Contractor,Recruiter'),
('Filled', 'Recruiter'),
('Open,New,Filled', 'Internal,Recruiter,Contractor'),
('Filled,Filled,Filled', 'Internal,Contractor,Recruiter'),
('Open,Filled,In-process', 'Contractor,Internal,Recruiter'),
('Filled', 'Others'),
('Cancelled,Filled','Contractor,Recruiter'),
('Cancelled, Filled, Cancel - In Process','Contractor,Recruiter,Internal');
-- DDL and sample data population, end
DECLARE #separator CHAR(1) = ',';
;WITH rs AS
(
SELECT ID, x
FROM #tbl
CROSS APPLY (SELECT TRY_CAST('<root>' +
'<source><r><![CDATA[' + REPLACE(REPLACE(FulfillmentChannelStatus,SPACE(1),''), #separator, ']]></r><r><![CDATA[') +
']]></r></source>' +
'<target><r><![CDATA[' + REPLACE(REPLACE(RoleAlternateSourcingChannel,SPACE(1),''), #separator, ']]></r><r><![CDATA[') +
']]></r></target>' +
'</root>' AS XML).query('<root>
{
for $x in /root/source/r
let $pos := count(root/source/r[. << $x]) + 1
return <r>
<s>{data($x)}</s><t>{data(/root/target/r[$pos])}</t>
</r>
}
</root>')) AS t(x)
), cte AS
(
SELECT ID
, c.value('(s/text())[1]', 'VARCHAR(30)') AS source
, c.value('(t/text())[1]', 'VARCHAR(30)') AS [target]
FROM rs
CROSS APPLY x.nodes('/root/r') AS t(c)
), cte2 AS
(
SELECT *
, ROW_NUMBER() OVER (PARTITION BY ID ORDER BY
CASE [target]
WHEN 'Recruiter' THEN 1
WHEN 'Internal' THEN 2
WHEN 'Contractor' THEN 3
END) AS seq
FROM cte
WHERE source = 'Filled'
AND [target] IN ('Recruiter','Internal','Contractor')
)
SELECT t.*
, c.[target] --, c.seq
FROM #tbl AS t
LEFT OUTER JOIN cte2 AS c ON c.ID = t.ID
WHERE c.seq = 1 OR c.seq is NULL
ORDER BY t.ID;
Output
+----+----------------------------------------+-------------------------------+------------+
| ID | FulfillmentChannelStatus | RoleAlternateSourcingChannel | target |
+----+----------------------------------------+-------------------------------+------------+
| 1 | Filled,Open,In-process | Internal,Recruiter,Contractor | Internal |
| 2 | Open,In-process,New | Contractor,Internal,Recruiter | NULL |
| 3 | New,Filled | Contractor,Recruiter | Recruiter |
| 4 | Filled | Recruiter | Recruiter |
| 5 | Open,New,Filled | Internal,Recruiter,Contractor | Contractor |
| 6 | Filled,Filled,Filled | Internal,Contractor,Recruiter | Recruiter |
| 7 | Open,Filled,In-process | Contractor,Internal,Recruiter | Internal |
| 8 | Filled | Others | NULL |
| 9 | Cancelled,Filled | Contractor,Recruiter | Recruiter |
| 10 | Cancelled, Filled, Cancel - In Process | Contractor,Recruiter,Internal | Recruiter |
+----+----------------------------------------+-------------------------------+------------+
I have the following table:
EventValue | Person1 | Person2 | Person3 | Person4 | Meta1 | Meta2
-------------------------------------------------------------------------------------------
123 | joePerson01 | samRock01 | nancyDrew01 | steveRogers01 | 505 | 606
321 | steveRogers02 | yoMama01 | ruMo01 | lukeJedi01 | 707 | 808
I want to transform the Person columns into IDs for my destination table, so all of the ID's would be coming from the same Person table in my Destination DB:
ID | FirstName | LastName | DatabaseOneID | DatabaseTwoID
----------------------------------------------------------
1 | Joe | Person | joePerson01 | personJoe01
2 | Sam | Rockwell | samRock01 | rockSam01
3 | Nancy | Drew | nancyDrew01 | drewNancy01
4 | Steve | Rogers | steveRogers01 | rogersSteve01
5 | Steve R | Rogers | steveRogers02 | rogersSteve02
6 | Yo | Mama | yoMama01 | mamaYo01
7 | Rufus | Murdock | ruMo01 | moRu01
8 | Luke | Skywalker | lukeJedi01 | jediLuke01
With results like so:
MetaID | EventValue | Person1ID | Person2ID | Person3ID | Person4ID
------------------------------------------------------------------------
1 | 123 | 1 | 2 | 3 | 4
2 | 321 | 5 | 6 | 7 | 8
I currently have a Lookup Transform looking up the first Person column, but couldn't figure out how to convert all 4 Person columns into IDs within the same lookup.
You could do it in one query, or use UNPIVOT, or use a scalar function if you think it'll be more fixable for your implementation. Then, you just create a view of it, in which it'll be an easy access for you.
here is a quick example :
DECLARE
#tb1 TABLE
(
EventValue INT
, Person1 VARCHAR(250)
, Person2 VARCHAR(250)
, Person3 VARCHAR(250)
, Person4 VARCHAR(250)
, Meta1 INT
, Meta2 INT
)
DECLARE
#Person TABLE
(
ID INT
, FirstName VARCHAR(250)
, LastName VARCHAR(250)
, DatabaseOneID VARCHAR(250)
, DatabaseTwoID VARCHAR(250)
)
INSERT INTO #tb1
VALUES
(123,'joePerson01','samRock01','nancyDrew01','steveRogers01',505,606),
(321,'steveRogers02','yoMama01','ruMo01','lukeJedi01',707,808)
INSERT INTO #Person
VALUES
(1,'Joe','Person','joePerson01','personJoe01'),
(2,'Sam','Rockwell','samRock01','rockSam01'),
(3,'Nancy','Drew','nancyDrew01','drewNancy01'),
(4,'Steve','Rogers','steveRogers01','rogersSteve01'),
(5,'SteveR','Rogers','steveRogers02','rogersSteve02'),
(6,'Yo','Mama','yoMama01','mamaYo01'),
(7,'Rufus','Murdock','ruMo01','moRu01'),
(8,'Luke','Skywalker','lukeJedi01','jediLuke01')
SELECT ROW_NUMBER() OVER(ORDER BY EventValue) AS MetaID, *
FROM (
SELECT
t.EventValue
, MAX(CASE WHEN t.Person1 IN(p.DatabaseOneID, p.DatabaseTwoID) THEN p.ID ELSE NULL END) AS Person1ID
, MAX(CASE WHEN t.Person2 IN(p.DatabaseOneID, p.DatabaseTwoID) THEN p.ID ELSE NULL END) AS Person2ID
, MAX(CASE WHEN t.Person3 IN(p.DatabaseOneID, p.DatabaseTwoID) THEN p.ID ELSE NULL END) AS Person3ID
, MAX(CASE WHEN t.Person4 IN(p.DatabaseOneID, p.DatabaseTwoID) THEN p.ID ELSE NULL END) AS Person4ID
FROM #tb1 t
LEFT JOIN #Person p
ON p.DatabaseOneID IN(t.Person1, t.Person2, t.Person3, t.Person4)
OR p.DatabaseTwoID IN(t.Person1, t.Person2, t.Person3, t.Person4)
GROUP BY t.EventValue
) D
I currently have a Lookup Transform looking up the first Person column, but couldn't figure out how to convert all 4 Person columns into IDs within the same lookup.
You cannot do this within the same lookup, you have to add a Lookup Transformation for each Column. In your case you should add 4 Lookup Transformation.
If source database and destination database are on the same server, then you can use a SQL query to achieve that as mentioned in the other answer, but in case that each database is on a separate server you have to go with Lookup transformation or you have to import data into a staging table and perform Join operations using SQL.
I am using an SQL Server database and have these following tables
Table "Data"
------------------
| Id | data_name |
------------------
| 1 |Data 1 |
| 2 |Data 2 |
| 3 |Data 3 |
| 4 |Data 4 |
| 5 |Data 5 |
------------------
and Table "Value_data"
--------------------------------------------------------------------------------------------------------------
| Id | data_id | date | col_1_type | col_1_name | col_1_value | col_2_type | col_2_name | col_2_value |
--------------------------------------------------------------------------------------------------------------
| 1 | 1 | 2017-01-01 | A | Alpha | 12 | B | Beta | 23 |
| 2 | 1 | 2017-02-01 | A | Alpha | 32 | B | Beta | 42 |
---------------------------------------------------------------------------------------------------------------
And i want to make result like so
-----------------------------------------------------------------
|value_id | data_id | data_name | date | A-Alpha | B-Beta |
-----------------------------------------------------------------
|1 | 1 | Data 1 | 2017-01-01 | 12 | 23 |
|2 | 1 | Data 1 | 2017-02-01 | 32 | 42 |
-----------------------------------------------------------------
I've search multiple times for solutions, i've tried using Pivot for example for a static result,
DECLARE #Data TABLE ( Id INT, data_name VARCHAR(10) )
INSERT INTO #Data VALUES
( 1 ,'Data 1'),
( 2 ,'Data 2'),
( 3 ,'Data 3'),
( 4 ,'Data 4'),
( 5 ,'Data 5')
DECLARE #Value_data TABLE (Id INT, data_id INT, [date] DATE, col_1_type VARCHAR(10), col_1_name VARCHAR(10), col_1_value INT, col_2_type VARCHAR(10), col_2_name VARCHAR(10), col_2_value INT)
INSERT INTO #Value_data VALUES
( 1, 1, '2017-01-01','A','Alpha','12','B','Beta','23'),
( 2, 1, '2017-02-01','A','Alpha','32','B','Beta','42')
;WITH CTE AS (
select vd.Id value_id
, vd.data_id
, d.data_name
, vd.[date]
, vd.col_1_type + '-' +vd.col_1_name Col1
, vd.col_1_value
, vd.col_2_type + '-' +vd.col_2_name Col2
, vd.col_2_value
from #Value_data vd
inner join #Data d on vd.data_id = d.Id
)
SELECT * FROM CTE
PIVOT( MAX(col_1_value) FOR Col1 IN ([A-Alpha])) PVT_A
PIVOT( MAX(col_2_value) FOR Col2 IN ([B-Beta])) PVT_B
but it wont work well with the data that i'm using with the joining tables because my database will be dynamic, anyone had a solution with the same case?
I have an Address table that contains multiple addresses
Address:
| Id | details | ... |
- - - - - - - - - - - - - - - -
| 1 | details | ... |
| 2 | details | ... |
| 3 | details | ... |
| 4 | details | ... |
Then i have a site table, that contains address.id as FK to represent Billing or Shipping address,
Site:
| Id | details | Ship_Address_id | Bill_Address_id | ... |
- - - - - - - - - - - - - - - -
| 1 | details | 1 | 2 | |
| 2 | details | 1 | 3 | |
| 3 | details | 4 | 4 | |
| 4 | details | 2 | 3 | |
is there a way to join both the tables so that single row from site table may fetch two rows of address table, even in the case of same address of both columns.
i was expecting to use multiple join of site with address but that is not working:
This is what i tried:
SELECT CASE
WHEN ship.CRM_Address_Internal_Id_Ship IS NOT NULL THEN 'Ship'
WHEN bill.CRM_Address_Internal_Id_Ship IS NOT NULL THEN 'Bill'
ELSE '' END
FROM Address as Adr
LEFT JOIN Site ship ON ship.Ship_Address_id = Adr.id
LEFT JOIN Site bill ON bill.Bill_Address_id = Adr.id
Even if i don't use the CASE it does not fetch two rows for each address with respect to site.
Please advise.
EDIT
Here is the desired output table:
as in Site table we have two different ids of address table (Ship/Bill) so the result table should display two rows for each site.id
for example i'm fetching records for site.id 1 and 3 then
Result_Table:
| Address.ID | Address Details | TYPE | ... |
--------------------------------------------
| 1 | Other Details | Ship | ... |
| 2 | Other Details | Bill | ... |
| 4 | Other Details | Ship | ... |
| 4 | Other Details | Bill | ... |
There are various ways to do this. This is an example that I implemented by UNPIVOT, you can take a look as references:
declare #address table(id int, details nvarchar(100))
declare #site table(id int, details nvarchar(100), ship_address_id int, bill_address_id int)
insert into #address values(1,'details 1')
insert into #address values(2,'details 2')
insert into #address values(3,'details 3')
insert into #address values(4,'details 4')
insert into #site values(1,'details 1',1,2)
insert into #site values(2,'details 1',1,3)
insert into #site values(3,'details 1',4,4)
insert into #site values(4,'details 1',2,5)
SELECT *
FROM (
SELECT s.id as site_id, s.bill_address_id, s.ship_address_id
FROM #Site AS s
INNER JOIN #Address AS sa ON s.Ship_Address_id = sa.Id
INNER JOIN #Address AS ba ON s.Bill_Address_id = ba.Id
WHERE s.id in (1,3)) p
UNPIVOT
(address_id FOR address_type IN
(Ship_Address_id, Bill_Address_id)
) AS unpvt
Output
site_id address_id address_type
1 1 ship_address_id
1 2 bill_address_id
3 4 ship_address_id
3 4 bill_address_id
It looks as though you're looking for UNION ALL, and also that your tables are backwards. I think you're looking for something more like this:
SELECT ship.id Site_id, CASE
WHEN ship.CRM_Address_Internal_Id_Ship IS NOT NULL THEN 'Ship'
ELSE 'No Ship' END AddressPresent
FROM Site ship
LEFT JOIN Address Adr ON ship.Ship_Address_id = Adr.id
UNION ALL
SELECT bill.id Site_id, CASE
WHEN bill.CRM_Address_Internal_Id_Ship IS NOT NULL THEN 'Bill'
ELSE 'No Bill' END AddressPresent
FROM Site bill
LEFT JOIN Address Adr ON bill.Bill_Address_id = Adr.id
I'm also wondering if you have a 'CRM_Address_Internal_Id_Bill' column that should be in the second part of the query?
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 |
+----------+--------------------+---------------------+----------------------+