The TOPN function returns the N most frequent values in the specified column. It is an approximate calculation function that returns results ordered by count in descending order.
TOPN(<expr>, <top_num> [, <space_expand_rate>])
| Parameter | Description |
|---|---|
<expr> | The column or expression to be counted. Supported types: TinyInt, SmallInt, Integer, BigInt, LargeInt, Float, Double, Decimal, Date, Datetime, IPV4, IPV6, UUID, String. |
<top_num> | The number of most frequent values to return. Must be a positive INT constant. |
<space_expand_rate> | Optional INT constant, default 50. A positive value retains at most top_num * space_expand_rate candidates when serializing intermediate state; larger values generally improve accuracy. This is not a hard limit on local aggregation memory. In the Doris 4.1 series since 4.1.5, a value of 0 or less retains all intermediate candidates, while the final result still contains at most top_num values. This mode may use more memory and remains subject to query memory limits. |
Returns a JSON string containing the values and their counts. If there is no valid data in the group, returns NULL.
-- setup CREATE TABLE page_visits ( page_id INT, user_id INT, visit_date DATE ) DISTRIBUTED BY HASH(page_id) PROPERTIES ( "replication_num" = "1" ); INSERT INTO page_visits VALUES (1, 101, '2024-01-01'), (2, 102, '2024-01-01'), (1, 103, '2024-01-01'), (3, 101, '2024-01-01'), (1, 104, '2024-01-01'), (2, 105, '2024-01-01'), (1, 106, '2024-01-01'), (4, 107, '2024-01-01');
SELECT TOPN(page_id, 3) as top_pages FROM page_visits;
Find the top 3 most visited pages.
+---------------------+ | top_pages | +---------------------+ | {"1":4,"2":2,"4":1} | +---------------------+
SELECT TOPN(page_id, 3) as top_pages FROM page_visits where page_id is null;
+-----------+ | top_pages | +-----------+ | NULL | +-----------+
Retain all intermediate candidates, but return only the most frequent value:
SELECT TOPN(s, 1, 0) FROM (SELECT 'a' AS s UNION ALL SELECT 'b' UNION ALL SELECT 'a') t;
{"a":2}