SQL PERCENTILE_DISC

The SQL PERCENTILE_DISC will calculate a percentile of the sorted values within an entire row set, or within the partitions in a table.

The basic syntax of the PERCENTILE_DISC in SQL Server analytic function is as shown below:

SELECT PERCENTILE_DISC(Numerical_Literal)
       WITHIN GROUP ( ORDER BY_Clause)
        OVER ( PARTITION_BY_Clause )
FROM [Source]

• Numerical_Literal: Specify the Percentile to compute. This value should be between 0.0 and 1.0
• WITHIN Group (Order By_Clause): This will sort the column data in a specified order within the group. Visit Order By Clause for a better knowing.
• Over (Partition_By_Clause): It separates the records selected by the SELECT Statement into partitions.

We are going to utilize the below-shown data for this demonstration

SQL PERCENTILE_DISC Example

This example shows how to calculate the percentile of the partitioned records present in a table.

The following Query will Order the Data by Sales in Ascending Order, partition the data by Occupation. And then calculate the percentile for each partition independently.

USE [SQL Tutorial]
GO
SELECT [FirstName]
      ,[LastName]
      ,[Education]
      ,[Occupation]
      ,[YearlyIncome]
      ,[Sales]
      ,PERCENTILE_DISC(0.0) WITHIN GROUP (ORDER BY [Sales] ASC)
			   OVER (PARTITION BY [Occupation]) AS [Percentile Disc] 
  FROM [Employee]

OUTPUT

Let me change the Order by from Ascending order to Descending.

USE [SQL Tutorial]
GO
SELECT [FirstName]
      ,[LastName]
      ,[Education]
      ,[Occupation]
      ,[YearlyIncome]
      ,[Sales]
      ,PERCENTILE_DISC(0.0) WITHIN GROUP (ORDER BY [Sales] DESC)
			   OVER (PARTITION BY [Occupation]) AS [Percentile Disc] 
  FROM [Employee]

OUTPUT

PERCENTILE_DISC Example 2

In this case, we will use different numerical values inside the SQL PERCENTILE_DISC function.

USE [SQL Tutorial]
GO
SELECT [FirstName]
      ,[LastName]
      ,[Education]
      ,[Occupation]
      ,[YearlyIncome]
      ,[Sales]
      ,PERCENTILE_DISC(0.25) WITHIN GROUP (ORDER BY [Sales] ASC)
		OVER (PARTITION BY [Occupation]) AS [Percentile Disc 1]  
      ,PERCENTILE_DISC(0.5) WITHIN GROUP (ORDER BY [Sales] ASC)
		OVER (PARTITION BY [Occupation]) AS [Percentile Disc 2]
      ,PERCENTILE_DISC(0.75) WITHIN GROUP (ORDER BY [Sales] ASC)
		OVER (PARTITION BY [Occupation]) AS [Percentile Disc 3] 
      ,PERCENTILE_DISC(1.0) WITHIN GROUP (ORDER BY [Sales] ASC)
		OVER (PARTITION BY [Occupation]) AS [Percentile Disc 4] 
  FROM [Employee]

OUTPUT