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How to swap (flip) rows to columns using PIVOT?

Execute the following Microsoft SQL Server T-SQL script to demonstrate of swapping rows into columns:

USE tempdb

 

GO

 

-- drop table CustomerStage

CREATE TABLE CustomerStage (

  RecordID INT,

  Tag      VARCHAR(20),

  [Value]  VARCHAR(50))

 

GO

 

INSERT CustomerStage

VALUES(1,'Name','Nicole Leslie Kidman')

 

INSERT CustomerStage

VALUES(1,'Address','124 Las Vegas Blvd.')

 

INSERT CustomerStage

VALUES(1,'City','Bevelry Hills')

 

INSERT CustomerStage

VALUES(1,'State','CA')

 

INSERT CustomerStage

VALUES(1,'Zipcode','90210')

 

INSERT CustomerStage

VALUES(1,'Email','nicolekidman@aol.com')

 

INSERT CustomerStage

VALUES(2,'Name','Kevin Brown')

 

INSERT CustomerStage

VALUES(2,'Address','124 Washington Street')

 

INSERT CustomerStage

VALUES(2,'City','Bevelry Hills')

 

INSERT CustomerStage

VALUES(2,'State','CA')

 

INSERT CustomerStage

VALUES(2,'Zipcode','90210')

 

INSERT CustomerStage

VALUES(2,'Email','kevinbrown@aol.com')

 

INSERT CustomerStage

VALUES(3,'Name','Jessica Eve Simpson')

 

INSERT CustomerStage

VALUES(3,'Address','524 Sunset Road')

 

INSERT CustomerStage

VALUES(3,'City','Bevelry Hills')

 

INSERT CustomerStage

VALUES(3,'State','CA')

 

INSERT CustomerStage

VALUES(3,'Zipcode','90210')

 

INSERT CustomerStage

VALUES(3,'Email','jessicasimpson@aol.com')

 

INSERT CustomerStage

VALUES(4,'Name','Paris Judy Hilton')

 

INSERT CustomerStage

VALUES(4,'Address','524 Canyon Road')

 

INSERT CustomerStage

VALUES(4,'City','Hollywood')

 

INSERT CustomerStage

VALUES(4,'State','CA')

 

INSERT CustomerStage

VALUES(4,'Zipcode','90211')

 

INSERT CustomerStage

VALUES(4,'Email','parishilton@aol.com')

 

GO

 

SELECT   RecordID,

         [Name],

         Address,

         City,

         State,

         Zipcode,

         Email

FROM     dbo.CustomerStage

         PIVOT

         (min([Value])

          FOR Tag IN ( [Name],[Address],[City],[State],[Zipcode],[Email] ) ) AS PivotToColumns

ORDER BY RecordID

GO

Related article:

http://www.sqlusa.com/bestpractices/training/scripts/pivotunpivot/

 

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