UNPIVOT

The UNPIVOT operation rotates a table by transforming columns into rows.

It is a relational operator that accepts two columns (from a table or subquery), along with a list of columns, and generates a row for each column specified in the list. In a query, it is specified in the FROM clause after the table name or subquery.

See also: PIVOT

Syntax

SELECT ...
FROM ...
    UNPIVOT ( <value_column>
    FOR <name_column> IN ( <column_list> ) )

[ ... ]

Where:

• <value_column>: The column that will store the values extracted from the columns listed in <column_list>.
• <name_column>: The column that will store the names of the columns from which the values were extracted.
• <column_list>: The list of columns to be unpivoted, separated by commas. You can optionally provide aliases for the column names using AS or just a string literal.

Examples

Let's unpivot the individual month columns to return a single sales value by month for each employee:

Creating and Inserting Data

-- Create the unpivoted_monthly_sales table
CREATE TABLE unpivoted_monthly_sales(
  empid INT,
  jan INT,
  feb INT,
  mar INT,
  apr INT
);

-- Insert sales data
INSERT INTO unpivoted_monthly_sales VALUES
  (1, 10400,  8000, 11000, 18000),
  (2, 39500, 90700, 12000,  5300);

Using UNPIVOT

SELECT *
FROM unpivoted_monthly_sales
    UNPIVOT (amount
    FOR month IN (jan as 'Jan', feb AS 'Feb', mar 'MARCH', apr));

Output:

┌──────────────────────────────────────────────────────┐
│      empid      │       month      │      amount     │
├─────────────────┼──────────────────┼─────────────────┤
│               1 │ Jan              │           10400 │
│               1 │ Feb              │            8000 │
│               1 │ MARCH            │           11000 │
│               1 │ apr              │           18000 │
│               2 │ Jan              │           39500 │
│               2 │ Feb              │           90700 │
│               2 │ MARCH            │           12000 │
│               2 │ apr              │            5300 │
└──────────────────────────────────────────────────────┘