Important
The SingleStore 9.1 release candidate (RC) is available now. It will be promoted to general availability (GA) soon and at that time it will be renamed to SingleStore 10.
In the interim, SingleStore 9.1 RC can be used to preview, evaluate, and provide feedback on the new and upcoming features in SingleStore 10, while SingleStore 9.0 is recommended for production workloads.
MEDIAN
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MEDIAN() is an aggregate function that returns the median of an expression (middle value in a sorted data set), which separates the higher half in a distribution from the lower half.
It can also be used as a window function.
Syntax
Aggregate Function
MEDIAN ( expression )
Window Function
MEDIAN(col | expr ) OVER ( [ PARTITION BY (col | expr ) ] )
Arguments
-
expression: Any numeric expression.
Return Type
Numeric value.
Examples
CREATE TABLE player_scores(player_name VARCHAR(50), player_id VARCHAR(10),1st_qtr_score DECIMAL(5,2), 2nd_qtr_score DECIMAL(5,2),3rd_qtr_score DECIMAL(5,2), 4th_qtr_score DECIMAL(5,2),yearly_total AS 1st_qtr_score + 2nd_qtr_score + 3rd_qtr_score + 4th_qtr_score PERSISTED DECIMAL(5,2));INSERT INTO player_scores VALUES('Steve', '119','22.50','72.00', '63.00', '45.00'),('Jack', '432', '90.10', '78.00','88.20', '92.20'),('Jim', '779','75.00', '68.90','55.70', '72.00'),('Eve', '189','91.50', '88.10', '95.00', '94.50'),('Shelia','338', '75.60', '72.00', '81.10', '78.40'),('June', '521', '81.00', '87.30','76.80','82.20'),('Martin', '674','98.80', '95.10', '88.00', '96.40');
Aggregate Function
SELECT player_name, 1st_qtr_score, 2nd_qtr_score, median(2nd_qtr_score) FROM player_scores GROUP BY player_name ORDER BY player_name;
+-------------+---------------+---------------+-----------------------+
| player_name | 1st_qtr_score | 2nd_qtr_score | median(2nd_qtr_score) |
+-------------+---------------+---------------+-----------------------+
| Eve | 91.50 | 88.10 | 88.100000 |
| Jack | 90.10 | 78.00 | 78.000000 |
| Jim | 75.00 | 68.90 | 68.900000 |
| June | 81.00 | 87.30 | 87.300000 |
| Martin | 98.80 | 95.10 | 95.100000 |
| Shelia | 75.60 | 72.00 | 72.000000 |
| Steve | 22.50 | 72.00 | 72.000000 |
+-------------+---------------+---------------+-----------------------+Window Function
SELECT player_name, 1st_qtr_score, 2nd_qtr_score, MEDIAN(2nd_qtr_score)OVER (PARTITION BY 1st_qtr_score) AS Result FROM player_scores ORDER BY 1st_qtr_score, 2nd_qtr_score;
+-------------+---------------+---------------+-----------+
| player_name | 1st_qtr_score | 2nd_qtr_score | Result |
+-------------+---------------+---------------+-----------+
| Steve | 22.50 | 72.00 | 72.000000 |
| Jim | 75.00 | 68.90 | 68.900000 |
| Shelia | 75.60 | 72.00 | 72.000000 |
| June | 81.00 | 87.30 | 87.300000 |
| Jack | 90.10 | 78.00 | 78.000000 |
| Eve | 91.50 | 88.10 | 88.100000 |
| Martin | 98.80 | 95.10 | 95.100000 |
+-------------+---------------+---------------+-----------+Last modified: