Home > SQL Server 2005 > MS SQL Server 2005 – New Feature | PIVOT and UNPIVOT

MS SQL Server 2005 – New Feature | PIVOT and UNPIVOT

Using PIVOT and UNPIVOT Operator

You can use the PIVOT and UNPIVOT relational operators to manipulate a table-valued expression into another table. PIVOT rotates a table-valued expression by turning the unique values from one column in the expression into multiple columns in the output, and performs aggregations where necessary on any remaining column values that are desired in the final output. UNPIVOT performs the opposite operation to PIVOT by rotating columns of a table-valued expression into column values.

PIVOT provides syntax that is simpler and more readable than what may otherwise be specified in a complex series of SELECT…CASE statements.
A common scenario where PIVOT can be useful is when you want to generate cross-tabulation reports to summarize data. For example, suppose you want to query the PurchaseOrderHeader table in the AdventureWorks sample database to determine the number of purchase orders placed by certain employees. The following query provides this report, broken down by vendor:

USE AdventureWorks;
SELECT VendorID, [164] AS Emp1, [198] AS Emp2, [223] AS Emp3, [231] AS Emp4, [233] AS Emp5
(SELECT PurchaseOrderID, EmployeeID, VendorID
FROM Purchasing.PurchaseOrderHeader) p
COUNT (PurchaseOrderID)
FOR EmployeeID IN
( [164], [198], [223], [231], [233] )
) AS pvt
VendorID Emp1 Emp2 Emp3 Emp4 Emp5
1 	 4    3    5    4    4
2 	 4    1    5    5    5
3 	 4    3    5    4    4
4 	 4    2    5    5    4
5 	 5    1    5    5    5

This means that the unique values returned by the EmployeeID column themselves become fields in the final result set. As a result, there is a column for each EmployeeID number specified in the pivot clause — in this case employees 164, 198, 223, 231, and 233. The PurchaseOrderID column serves as the value column, against which the columns returned in the final output, called the grouping columns, are grouped. In this case, the grouping columns are aggregated by the COUNT function. Note that a warning message appears indicating that any NULL values appearing in the PurchaseOrderID column were not considered when computing the COUNT for each employee.

UNPIVOT performs almost the reverse operation of PIVOT, by rotating columns into rows. Suppose the table produced in the example above is stored in the database as pvt, and you want to rotate the column identifiers Emp1, Emp2, Emp3, Emp4, and Emp5 into row values that correspond to a particular vendor. This means that you must identify two additional columns. The column that will contain the column values you are rotating (Emp1, Emp2,…) will be called Employee, and the column that will hold the values that currently reside under the columns being rotated will be called Orders. These columns correspond to the pivot_column and value_column, respectively, in the Transact-SQL definition. The query looks like this.

Create the table and insert values as portrayed in the above example:

CREATE TABLE pvt (VendorID int, Emp1 int, Emp2 int,
Emp3 int, Emp4 int, Emp5 int)
INSERT INTO pvt VALUES (1,4,3,5,4,4)
INSERT INTO pvt VALUES (2,4,1,5,5,5)
INSERT INTO pvt VALUES (3,4,3,5,4,4)
INSERT INTO pvt VALUES (4,4,2,5,5,4)
INSERT INTO pvt VALUES (5,5,1,5,5,5)
--Unpivot the table.
SELECT VendorID, Employee, Orders
(SELECT VendorID, Emp1, Emp2, Emp3, Emp4, Emp5
FROM pvt) p
(Orders FOR Employee IN
(Emp1, Emp2, Emp3, Emp4, Emp5)
)AS unpvt
VendorID Employee Orders
1 	 Emp1 	  4
1 	 Emp2 	  3
1 	 Emp3 	  5
1 	 Emp4 	  4
1 	 Emp5 	  4
2 	 Emp1 	  4
2 	 Emp2 	  1
2 	 Emp3 	  5
2 	 Emp4 	  5
2 	 Emp5 	  5

Note: UNPIVOT is not the exact reverse of PIVOT. PIVOT performs an aggregation and hence merges possible multiple rows into a single row in the output. UNPIVOT does not reproduce the original table-valued expression result because rows have been merged. Besides, NULL values in the input of UNPIVOT disappear in the output, whereas there may have been original NULL values in the input before the PIVOT operation.

Reference taken from MS BOL:


Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

%d bloggers like this: