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.
STDDEV_
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The STDDEV_ function calculates the sample standard deviation value from a set of numbers.
STDDEV_ returns NULL if there are not matching rows.
May be used as a window function and with the frame clause.
Syntax
Aggregate Function
STDDEV_SAMP ( expression )
Window Function & Window Frame Clause
STDDEV_SAMP ( [DISTINCT ] (col | expr ) OVER ( [PARTITION BY (col | expr )] [ORDER BY (col | expr ) [ <window_frame> ] ] )
Arguments
-
expression: any expression.
This may be a column name, the result of another function, or a math operation.
Return Type
A double.
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 STDDEV_SAMP(yearly_total) FROM player_scores;
+---------------------------+
| STDDEV_SAMP(yearly_total) |
+---------------------------+
| 61.656858 |
+---------------------------+Window Function
SELECT player_name, yearly_total,ROUND(STDDEV_SAMP(yearly_total) OVER (ORDER BY player_name, yearly_total)) AS STDDEV_SAMPFROM player_scoresORDER BY player_name;
+-------------+--------------+-------------+
| player_name | yearly_total | STDDEV_SAMP |
+-------------+--------------+-------------+
| Eve | 369.10 | NULL |
| Jack | 348.50 | 15 |
| Jim | 271.60 | 51 |
| June | 327.30 | 42 |
| Martin | 378.30 | 42 |
| Shelia | 307.10 | 40 |
| Steve | 202.50 | 62 |
+-------------+--------------+-------------+Window Frame Clause
SELECT player_name, 1st_qtr_score, 2nd_qtr_score,ROUND(STDDEV_SAMP(1st_qtr_score) OVER (ORDER BY player_name, 1st_qtr_score, 2nd_qtr_score ROWS UNBOUNDED PRECEDING)) AS STDDEV_SAMPFROM player_scoresORDER BY player_name;
+-------------+---------------+---------------+-------------+
| player_name | 1st_qtr_score | 2nd_qtr_score | STDDEV_SAMP |
+-------------+---------------+---------------+-------------+
| Eve | 91.50 | 88.10 | NULL |
| Jack | 90.10 | 78.00 | 1 |
| Jim | 75.00 | 68.90 | 9 |
| June | 81.00 | 87.30 | 8 |
| Martin | 98.80 | 95.10 | 9 |
| Shelia | 75.60 | 72.00 | 10 |
| Steve | 22.50 | 72.00 | 25 |
+-------------+---------------+---------------+-------------+Last modified: