Get records with max value for each group of grouped SQL results

Question

How do you get the rows that contain the max value for each grouped set?

I've seen some overly-complicated variations on this question, and none with a good answer. I've tried to put together the simplest possible example:

Given a table like that below, with person, group, and age columns, how would you get the oldest person in each group? (A tie within a group should give the first alphabetical result)

Person | Group | Age
---
Bob  | 1     | 32  
Jill | 1     | 34  
Shawn| 1     | 42  
Jake | 2     | 29  
Paul | 2     | 36  
Laura| 2     | 39  

Desired result set:

Shawn | 1     | 42    
Laura | 2     | 39  

Answer 1

There's a super-simple way to do this in mysql:

select * 
from (select * from mytable order by `Group`, age desc, Person) x
group by `Group`

This works because in mysql you're allowed to not aggregate non-group-by columns, in which case mysql just returns the first row. The solution is to first order the data such that for each group the row you want is first, then group by the columns you want the value for.

You avoid complicated subqueries that try to find the max() etc, and also the problems of returning multiple rows when there are more than one with the same maximum value (as the other answers would do)

Note: This is a mysql-only solution. All other databases I know will throw an SQL syntax error with the message "non aggregated columns are not listed in the group by clause" or similar. Because this solution uses undocumented behavior, the more cautious may want to include a test to assert that it remains working should a future version of MySQL change this behavior.

Version 5.7 update:

Since version 5.7, the sql-mode setting includes ONLY_FULL_GROUP_BY by default, so to make this work you must not have this option (edit the option file for the server to remove this setting).

Answer 2

The correct solution is:

SELECT o.*
FROM `Persons` o                    # 'o' from 'oldest person in group'
  LEFT JOIN `Persons` b             # 'b' from 'bigger age'
      ON o.Group = b.Group AND o.Age < b.Age
WHERE b.Age is NULL                 # bigger age not found

How it works:

It matches each row from o with all the rows from b having the same value in column Group and a bigger value in column Age. Any row from o not having the maximum value of its group in column Age will match one or more rows from b.

The LEFT JOIN makes it match the oldest person in group (including the persons that are alone in their group) with a row full of NULLs from b ('no biggest age in the group').
Using INNER JOIN makes these rows not matching and they are ignored.

The WHERE clause keeps only the rows having NULLs in the fields extracted from b. They are the oldest persons from each group.

Further readings

This solution and many others are explained in the book SQL Antipatterns: Avoiding the Pitfalls of Database Programming

Answer 3

You can join against a subquery that pulls the MAX(Group) and Age. This method is portable across most RDBMS.

SELECT t1.*
FROM yourTable t1
INNER JOIN
(
    SELECT `Group`, MAX(Age) AS max_age
    FROM yourTable
    GROUP BY `Group`
) t2
    ON t1.`Group` = t2.`Group` AND t1.Age = t2.max_age;

Answer 4

My simple solution for SQLite (and probably MySQL):

SELECT *, MAX(age) FROM mytable GROUP BY `Group`;

However it doesn't work in PostgreSQL and maybe some other platforms.

In PostgreSQL you can use DISTINCT ON clause:

SELECT DISTINCT ON ("group") * FROM "mytable" ORDER BY "group", "age" DESC;

Answer 5

Not sure if MySQL has row_number function. If so you can use it to get the desired result. On SQL Server you can do something similar to:

CREATE TABLE p
(
 person NVARCHAR(10),
 gp INT,
 age INT
);
GO
INSERT  INTO p
VALUES  ('Bob', 1, 32);
INSERT  INTO p
VALUES  ('Jill', 1, 34);
INSERT  INTO p
VALUES  ('Shawn', 1, 42);
INSERT  INTO p
VALUES  ('Jake', 2, 29);
INSERT  INTO p
VALUES  ('Paul', 2, 36);
INSERT  INTO p
VALUES  ('Laura', 2, 39);
GO

SELECT  t.person, t.gp, t.age
FROM    (
         SELECT *,
                ROW_NUMBER() OVER (PARTITION BY gp ORDER BY age DESC) row
         FROM   p
        ) t
WHERE   t.row = 1;

Answer 6

Using ranking method.

SELECT @rn :=  CASE WHEN @prev_grp <> groupa THEN 1 ELSE @rn+1 END AS rn,  
   @prev_grp :=groupa,
   person,age,groupa  
FROM   users,(SELECT @rn := 0) r        
HAVING rn=1
ORDER  BY groupa,age DESC,person

This sql can be explained as below,

1. select * from users, (select @rn := 0) r order by groupa, age desc, person

2. @prev_grp is null

3. @rn := CASE WHEN @prev_grp <> groupa THEN 1 ELSE @rn+1 END

   this is a three operator expression
   like this, rn = 1 if prev_grp != groupa else rn=rn+1

4. having rn=1 filter out the row you need

Answer 7

axiac's solution is what worked best for me in the end. I had an additional complexity however: a calculated "max value", derived from two columns.

Let's use the same example: I would like the oldest person in each group. If there are people that are equally old, take the tallest person.

I had to perform the left join two times to get this behavior:

SELECT o1.* WHERE
    (SELECT o.*
    FROM `Persons` o
    LEFT JOIN `Persons` b
    ON o.Group = b.Group AND o.Age < b.Age
    WHERE b.Age is NULL) o1
LEFT JOIN
    (SELECT o.*
    FROM `Persons` o
    LEFT JOIN `Persons` b
    ON o.Group = b.Group AND o.Age < b.Age
    WHERE b.Age is NULL) o2
ON o1.Group = o2.Group AND o1.Height < o2.Height 
WHERE o2.Height is NULL;

Hope this helps! I guess there should be better way to do this though...

Answer 8

My solution works only if you need retrieve only one column, however for my needs was the best solution found in terms of performance (it use only one single query!):

SELECT SUBSTRING_INDEX(GROUP_CONCAT(column_x ORDER BY column_y),',',1) AS xyz,
   column_z
FROM table_name
GROUP BY column_z;

It use GROUP_CONCAT in order to create an ordered concat list and then I substring to only the first one.

Answer 9

Using CTEs - Common Table Expressions:

WITH MyCTE(MaxPKID, SomeColumn1)
AS(
SELECT MAX(a.MyTablePKID) AS MaxPKID, a.SomeColumn1
FROM MyTable1 a
GROUP BY a.SomeColumn1
  )
SELECT b.MyTablePKID, b.SomeColumn1, b.SomeColumn2 MAX(b.NumEstado)
FROM MyTable1 b
INNER JOIN MyCTE c ON c.MaxPKID = b.MyTablePKID
GROUP BY b.MyTablePKID, b.SomeColumn1, b.SomeColumn2

--Note: MyTablePKID is the PrimaryKey of MyTable

Answer 10

You can also try

SELECT * FROM mytable WHERE age IN (SELECT MAX(age) FROM mytable GROUP BY `Group`) ;

Answer 11

I would not use Group as column name since it is reserved word. However following SQL would work.

SELECT a.Person, a.Group, a.Age FROM [TABLE_NAME] a
INNER JOIN 
(
  SELECT `Group`, MAX(Age) AS oldest FROM [TABLE_NAME] 
  GROUP BY `Group`
) b ON a.Group = b.Group AND a.Age = b.oldest

Answer 12

This is how I'm getting the N max rows per group in mysql

SELECT co.id, co.person, co.country
FROM person co
WHERE (
SELECT COUNT(*)
FROM person ci
WHERE  co.country = ci.country AND co.id < ci.id
) < 1
;

how it works:

• self join to the table
• groups are done by co.country = ci.country
• N elements per group are controlled by ) < 1 so for 3 elements - ) < 3
• to get max or min depends on: co.id < ci.id
  • co.id < ci.id - max
  • co.id > ci.id - min

Full example here:

mysql select n max values per group

Answer 13

In Oracle below query can give the desired result.

SELECT group,person,Age,
  ROWNUMBER() OVER (PARTITION BY group ORDER BY age desc ,person asc) as rankForEachGroup
  FROM tablename where rankForEachGroup=1

Answer 14

Improving axiac's solution to avoid selecting multiple rows per group while also allowing for use of indexes

SELECT o.*
FROM `Persons` o 
  LEFT JOIN `Persons` b 
      ON o.Group = b.Group AND o.Age < b.Age
  LEFT JOIN `Persons` c 
      ON o.Group = c.Group AND o.Age = c.Age and o.id < c.id
WHERE b.Age is NULL and c.id is null

Answer 15

with CTE as 
(select Person, 
[Group], Age, RN= Row_Number() 
over(partition by [Group] 
order by Age desc) 
from yourtable)`


`select Person, Age from CTE where RN = 1`

Answer 16

This method has the benefit of allowing you to rank by a different column, and not trashing the other data. It's quite useful in a situation where you are trying to list orders with a column for items, listing the heaviest first.

Source: http://dev.mysql.com/doc/refman/5.0/en/group-by-functions.html#function_group-concat

SELECT person, group,
    GROUP_CONCAT(
        DISTINCT age
        ORDER BY age DESC SEPARATOR ', follow up: '
    )
FROM sql_table
GROUP BY group;

Answer 17

let the table name be people

select O.*              -- > O for oldest table
from people O , people T
where O.grp = T.grp and 
O.Age = 
(select max(T.age) from people T where O.grp = T.grp
  group by T.grp)
group by O.grp; 

Answer 18

If ID(and all coulmns) is needed from mytable

SELECT
    *
FROM
    mytable
WHERE
    id NOT IN (
        SELECT
            A.id
        FROM
            mytable AS A
        JOIN mytable AS B ON A. GROUP = B. GROUP
        AND A.age < B.age
    )