QUANTILE_DISC (Lakehouse v1)

Aggregate function.

The QUANTILE_DISC() function computes the exact quantile number of a numeric data sequence. The QUANTILE alias to QUANTILE_DISC

Analyze Syntax

func.quantile_disc(<levels>, <expr>)

Analyze Examples

func.quantile_disc([0.25, 0.75], table.salary).alias('salary_quantiles')

|  salary_quantiles   |
|---------------------|
| [55000.0, 65000.0]  |

SQL Syntax

QUANTILE_DISC(<levels>)(<expr>)

QUANTILE_DISC(level1, level2, ...)(<expr>)

Arguments

Arguments	Description
`level(s)`	level(s) of quantile. Each level is constant floating-point number from 0 to 1. We recommend using a level value in the range of [0.01, 0.99]
`<expr>`	Any numerical expression

Return Type

InputType or array of InputType based on level number.

SQL Examples

Create a Table and Insert Sample Data

CREATE TABLE salary_data (
  id INT,
  employee_id INT,
  salary FLOAT
);

INSERT INTO salary_data (id, employee_id, salary)
VALUES (1, 1, 50000),
       (2, 2, 55000),
       (3, 3, 60000),
       (4, 4, 65000),
       (5, 5, 70000);

Query Demo: Calculate 25th and 75th Percentile of Salaries

SELECT QUANTILE_DISC(0.25, 0.75)(salary) AS salary_quantiles
FROM salary_data;

Result

|  salary_quantiles   |
|---------------------|
| [55000.0, 65000.0]  |