MIN

Returns the minimum values

Syntax

-- As an aggregate
MIN( expr )

-- As a window function
MIN ( expr ) OVER (
         [ PARTITION BY value_expression [, ...] ]
         [ ORDER BY value_expression [ ASC | DESC ] [ NULLS { FIRST | LAST } ] [, ...] ]
         [ frame_clause ]
      )

Arguments

Parameter	Description
expr	Value expression

Returns

Return type is dependant on the argument.

Notes

• NULL values are ignored

Examples

For these examples, assume a table named nba, with the following structure:

CREATE TABLE nba
(
   "Name" text,
   "Team" text,
   "Number" tinyint,
   "Position" text,
   "Age" tinyint,
   "Height" text,
   "Weight" real,
   "College" text,
   "Salary" float
 );

Here’s a peek at the table contents (Download nba.csv):

nba.csv

Avery Bradley	Boston Celtics	0	PG	25	2-Jun	180	Texas	7730337
Jae Crowder	Boston Celtics	99	SF	25	6-Jun	235	Marquette	6796117
John Holland	Boston Celtics	30	SG	27	5-Jun	205	Boston University
R.J. Hunter	Boston Celtics	28	SG	22	5-Jun	185	Georgia State	1148640
Jonas Jerebko	Boston Celtics	8	PF	29	10-Jun	231		5000000
Amir Johnson	Boston Celtics	90	PF	29	9-Jun	240		12000000
Jordan Mickey	Boston Celtics	55	PF	21	8-Jun	235	LSU	1170960
Kelly Olynyk	Boston Celtics	41	C	25	Jul-00	238	Gonzaga	2165160
Terry Rozier	Boston Celtics	12	PG	22	2-Jun	190	Louisville	1824360

Simple Minimum, Maximum on numeric columns

t=> SELECT MIN("Age"), MAX("Age") FROM nba;
min | max
----+----
 19 |  40

Minimum and maximum on text columns

t=> SELECT MIN("Name"), MAX("Name") FROM nba;
min          | max
-------------+--------------
Aaron Brooks | Zaza Pachulia

Combine MIN with GROUP BY

t=> SELECT "Team", MIN("Salary") FROM nba GROUP BY 1 ORDER BY 2 DESC LIMIT 5;
Team                   | min
-----------------------+--------
Boston Celtics         | 1148640
Minnesota Timberwolves |  947276
Utah Jazz              |  900000
Orlando Magic          |  845059
Memphis Grizzlies      |  700902