---

{ “title”: “PERCENTILE_APPROX”, “language”: “en” }

Description

The PERCENTILE_APPROX function is used to calculate approximate percentiles, primarily for large datasets. Compared to the PERCENTILE function, it has the following features:

1. Memory Efficiency: Uses fixed-size memory, maintaining low memory consumption even when processing low-cardinality columns (large data volumes but the number of different elements is small)
2. Performance Advantage: Suitable for processing low-cardinality large-scale datasets with faster computation
3. Adjustable Precision: Balance between precision and performance through the compression parameter

Syntax

PERCENTILE_APPROX(<col>, <p> [, <compression>])

Parameters

Parameter	Description
<col>	The column to calculate percentiles for, supported type: Double.
<p>	Percentile value, constant, type Double, range [0.0, 1.0], e.g., 0.99 means 99th percentile. Must be a constant.
<compression>	Optional, compression level, type Double, range [2048, 10000]. Higher values increase precision but consume more memory. If not specified or out of range, defaults to 10000.

Return Value

Returns the approximate percentile of the specified column, type Double. If there is no valid data in the group, returns NULL.

Examples

-- setup
CREATE TABLE response_times (
    request_id INT,
    response_time DECIMAL(10, 2)
) DUPLICATE KEY(`request_id`)
DISTRIBUTED BY HASH(`request_id`) BUCKETS AUTO
PROPERTIES (
    "replication_allocation" = "tag.location.default: 1"
);
INSERT INTO response_times VALUES
(1, 10.5),
(2, 15.2),
(3, 20.1),
(4, 25.8),
(5, 30.3),
(6, 35.7),
(7, 40.2),
(8, 45.9),
(9, 50.4),
(10, 100.6);

-- Calculate 99th percentile using different compression levels
SELECT 
    percentile_approx(response_time, 0.99) as p99_default,          -- Default compression
    percentile_approx(response_time, 0.99, 2048) as p99_fast,       -- Lower compression, faster
    percentile_approx(response_time, 0.99, 10000) as p99_accurate   -- Higher compression, more accurate
FROM response_times;

+-------------------+-------------------+-------------------+
| p99_default       | p99_fast          | p99_accurate      |
+-------------------+-------------------+-------------------+
| 100.5999984741211 | 100.5999984741211 | 100.5999984741211 |
+-------------------+-------------------+-------------------+

SELECT percentile_approx(if(response_time>90,response_time,NULL), 0.5) FROM response_times;

Only non-NULL data is calculated.

+-----------------------------------------------------------------+
| percentile_approx(if(response_time>90,response_time,NULL), 0.5) |
+-----------------------------------------------------------------+
|                                               100.5999984741211 |
+-----------------------------------------------------------------+

SELECT percentile_approx(NULL, 0.99) FROM response_times;

Returns NULL when all input data is NULL.

+-------------------------------+
| percentile_approx(NULL, 0.99)  |
+-------------------------------+
|                          NULL  |
+-------------------------------+