Help Center/ Data Lake Insight/ Spark SQL Syntax Reference/ Built-In Functions/ Mathematical Functions/ percentlie_approx
Updated on 2023-10-25 GMT+08:00
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percentlie_approx

This function is used to return the approximate percentile, which is applicable to a large amount of data. It sorts a specified column in ascending order, and then obtains the value closest to the pth percentile.

Syntax

percentile_approx (colname,DOUBLE p)

Parameters

Table 1 Parameters

Parameter

Mandatory

Type

Description

colname

Yes

STRING

Name of the column to be sorted

The elements in a column are of the DOUBLE type. If an element in a column is not of the DOUBLE type, the system will implicitly convert it to the DOUBLE type for calculation.

p

Yes

DOUBLE

The value can be a float, integer, or string.

The value ranges from 0 to 1. The value is a float.

Return Values

The return value is of the DOUBLE or ARRAY type.

  • If the column name does not exist, an error is reported.
  • If the value of p is NULL or outside the range of [0,1], an error is reported.

Example Code

Assume that the elements in the int_test column are 1, 2, 3, and 4 and they are of the INT type.

The value 3 is returned.

select percentile_approx(int_test,0.7) FROM int_test;

The value 3 is returned.

select percentile_approx(int_test,0.75) FROM int_test;

The value 2 is returned.

select percentile_approx(int_test,0.5) FROM int_test;

The value [1,2,2,3,4] is returned.

select percentile_approx (int_test,ARRAY(0.1,0.3,0.5,0.6,0.9)) FROM int_test;
Parent topic: Mathematical Functions