T-SQL PIVOT operation without aggregate functions
Unlike PIVOT operations, which usually require aggregate functions, PIVOT transformations can also be performed without aggregate functions. This may arise in specific scenarios where data reconstruction is required without aggregation.
Consider the following form:
CustomerID | DBColumnName | Data |
---|---|---|
1 | FirstName | Joe |
1 | MiddleName | S |
1 | LastName | Smith |
1 | Date | 12/12/2009 |
2 | FirstName | Sam |
2 | MiddleName | S |
2 | LastName | Freddrick |
2 | Date | 1/12/2009 |
3 | FirstName | Jaime |
3 | MiddleName | S |
3 | LastName | Carol |
3 | Date | 12/1/2009 |
The goal is to pivot this data to the following results:
CustomerID | FirstName | MiddleName | LastName | Date |
---|---|---|---|---|
1 | Joe | S | Smith | 12/12/2009 |
2 | Sam | S | Freddrick | 1/12/2009 |
3 | Jaime | S | Carol | 12/1/2009 |
To achieve this using PIVOT without an aggregate function, you can use the following query:
SELECT CustomerID, MIN(CASE DBColumnName WHEN 'FirstName' THEN Data END) AS FirstName, MIN(CASE DBColumnName WHEN 'MiddleName' THEN Data END) AS MiddleName, MIN(CASE DBColumnName WHEN 'LastName' THEN Data END) AS LastName, MIN(CASE DBColumnName WHEN 'Date' THEN Data END) AS Date FROM table GROUP BY CustomerId;
This query executes a case statement in a PIVOT operation to select the minimum value of each DBColumnName for a given CustomerID. Since there is only one row of data for each CustomerID and DBColumnName combination, the MIN function returns the required value.
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