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 varchar(40),
   Team varchar(40),
   Number tinyint,
   Position varchar(2),
   Age tinyint,
   Height varchar(4),
   Weight real,
   College varchar(40),
   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