Understanding the PERCENTILE_DISC() Function in SQL Server

In SQL Server, PERCENTILE_DISC() is a window function that returns a percentile value based on a discrete distribution of the input column. Basically, it returns the first value in the set whose ordered position is the same or more than the specified fraction.

The output of PERCENTILE_DISC() is equal to a specific column value (unlike the PERCENTILE_CONT() function, which could calculate a value that isn’t in the column).

When we call PERCENTILE_DISC() we specify the percentile to use. It then performs its calculation based on that percentile.

Syntax

The syntax goes like this:

PERCENTILE_DISC ( numeric_literal ) 
    WITHIN GROUP ( ORDER BY order_by_expression [ ASC | DESC ] )  
    OVER ( [ <partition_by_clause> ] )

So numeric_literal is in the range between 0.0 and 1.0. This (required) value is the percentile to compute.

We must provide a WITHIN GROUP clause with an ORDER BY clause.

We must also provide an OVER clause.

Example

Here’s a basic example to demonstrate:

SELECT
    VendorId,
    ProductName,
    ProductPrice,
    PERCENTILE_DISC( 0.5 ) 
        WITHIN GROUP (
            ORDER BY ProductPrice
        )
        OVER ( 
            PARTITION BY VendorId
        ) AS PERCENTILE_DISC
FROM Products;

Result:

VendorId  ProductName                      ProductPrice  PERCENTILE_DISC
--------  -------------------------------  ------------  ---------------
1001      Long Weight (green)              11.99         14.75          
1001      Long Weight (blue)               14.75         14.75          
1001      Left handed screwdriver          25.99         14.75          
1001      Right handed screwdriver         25.99         14.75          
1002      Sledge Hammer                    33.49         33.49          
1003      Hammock                          10            55.99          
1003      Straw Dog Box                    55.99         55.99          
1003      Chainsaw                         245           55.99          
1004      Bottomless Coffee Mugs (4 Pack)  9.99          9.99           
1004      Tea Pot                          12.45         9.99           

In this example, we used an argument of 0.5 in order to calculate the median price of all products from each vendor. We used the WITHIN GROUP clause to sort the set by product price, and we used the OVER clause with a PARTITION BY clause to partition the results by vendor.

The PERCENTILE_DISC() function always returns an actual value from the data set. Therefore, the results could deviate significantly from what we might initially expect, especially when there’s a small number of rows (like in our example), or if the set doesn’t contain any values in the middle of the range.

The PERCENTILE_CONT() function on the other hand, doesn’t necessarily return a value from the actual data set. It  will interpolate between adjacent input items if necessarily to return the median value regardless of whether that value is in the data set or not.

Another Example

Here’s an example that uses a different percentile:

SELECT
    VendorId,
    ProductName,
    ProductPrice,
    PERCENTILE_DISC( 0.8 ) 
        WITHIN GROUP (
            ORDER BY ProductPrice
        )
        OVER ( 
            PARTITION BY VendorId
        ) AS PERCENTILE_DISC
FROM Products;

Result:

VendorId  ProductName                      ProductPrice  PERCENTILE_DISC
--------  -------------------------------  ------------  ---------------
1001      Long Weight (green)              11.99         25.99          
1001      Long Weight (blue)               14.75         25.99          
1001      Left handed screwdriver          25.99         25.99          
1001      Right handed screwdriver         25.99         25.99          
1002      Sledge Hammer                    33.49         33.49          
1003      Hammock                          10            245            
1003      Straw Dog Box                    55.99         245            
1003      Chainsaw                         245           245            
1004      Bottomless Coffee Mugs (4 Pack)  9.99          12.45          
1004      Tea Pot                          12.45         12.45          

In this example I used a percentile of 0.8 instead of 0.5, and we can see how this has affected the output.

The OVER Clause is Required

As mentioned, we must provide the OVER clause when using PERCENTILE_DISC(). Here’s what happens if we remove it:

SELECT
    VendorId,
    ProductName,
    ProductPrice,
    PERCENTILE_DISC( 0.8 ) 
        WITHIN GROUP (
            ORDER BY ProductPrice
        ) AS PERCENTILE_DISC
FROM Products;

Result:

Msg 10753, Level 15, State 3, Line 5
The function 'PERCENTILE_DISC' must have an OVER clause.

About the ORDER BY Clause

The ORDER BY clause cannot be in the OVER clause when using the PERCENTILE_DISC() function. This makes it (and PERCENTILE_CONT()) a bit different to most other window functions, which require an ORDER BY clause in the OVER clause.

That said, we can see from the above example that the ORDER BY clause goes into the WITHIN GROUP clause when using PERCENTILE_DISC().

Here’s what happens if we put an ORDER BY clause in the OVER clause:

SELECT
    VendorId,
    ProductName,
    ProductPrice,
    PERCENTILE_DISC( 0.8 ) 
        WITHIN GROUP (
            ORDER BY ProductPrice
        )
        OVER ( 
            PARTITION BY VendorId
            ORDER BY ProductPrice
        ) AS PERCENTILE_DISC
FROM Products;

Result:

Msg 10758, Level 15, State 1, Line 5
The function 'PERCENTILE_DISC' may not have ORDER BY in OVER clause.

Another thing about the ORDER BY clause when using PERCENTILE_DISC() is that only one ORDER BY expression is allowed.

Here’s what happens when we provide more than one ORDER BY expression:

SELECT
    VendorId,
    ProductName,
    ProductPrice,
    PERCENTILE_DISC( 0.5 ) 
        WITHIN GROUP (
            ORDER BY ProductPrice, ProductName
        )
        OVER ( 
            PARTITION BY VendorId
        ) AS PERCENTILE_DISC
FROM Products;

Result:

Msg 10751, Level 15, State 1, Line 5
The ORDER BY in WITHIN GROUP clause of 'PERCENTILE_DISC' function must have exactly one expression.

The error tells us that the function must only have one expression.

No Window Frame Allowed

Another thing we can’t do when using the PERCENTILE_DISC() function is specify a window frame. By this I mean we can’t use the ROWS or RANGE clause like we can in most other window functions.

Here’s what happens when we try to specify a window frame:

SELECT
    VendorId,
    ProductName,
    ProductPrice,
    PERCENTILE_DISC( 0.8 ) 
        WITHIN GROUP (
            ORDER BY ProductPrice
        )
        OVER ( 
            PARTITION BY VendorId
            RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING
        ) AS PERCENTILE_DISC
FROM Products;

Result:

Msg 10752, Level 15, State 1, Line 5
The function 'PERCENTILE_DISC' may not have a window frame.

The same applies to the PERCENTILE_CONT() function.

More Information

For more information and examples, see Microsoft’s documentation for the PERCENTILE_DISC() function.