Here's a simplified example of what I'm talking about:
Table: students exam_results
_____________ ____________________________________
| id | name | | id | student_id | score | date |
|----+------| |----+------------+-------+--------|
| 1 | Jim | | 1 | 1 | 73 | 8/1/09 |
| 2 | Joe | | 2 | 1 | 67 | 9/2/09 |
| 3 | Jay | | 3 | 1 | 93 | 1/3/09 |
|____|______| | 4 | 2 | 27 | 4/9/09 |
| 5 | 2 | 17 | 8/9/09 |
| 6 | 3 | 100 | 1/6/09 |
|____|____________|_______|________|
Assume, for the sake of this question, that every student has at least one exam result recorded.
How would you select each student along with their highest score? Edit: ...AND the other fields in that record?
Expected output:
_________________________
| name | score | date |
|------+-------|--------|
| Jim | 93 | 1/3/09 |
| Joe | 27 | 4/9/09 |
| Jay | 100 | 1/6/09 |
|______|_______|________|
Answers using all types of DBMS are welcome.
A conditional column join is a fancy way to let us join to a single column and to two (or more) columns in a single query. We can accomplish this by using a case statement in the on clause of our join. A case statement allows us to test multiple conditions (like an if/else if/else) to produce a single value.
Theoretically, there is no upper limit on the number of tables that can be joined using a SELECT statement. (One join condition always combines two tables!)
Four types of joins: left, right, inner, and outer. In general, you'll only really need to use inner joins and left outer joins.
As known, there are five types of join operations: Inner, Left, Right, Full and Cross joins.
Select Name, T.Score, er. date
from Students S inner join
(Select Student_ID,Max(Score) as Score from Exam_Results
Group by Student_ID) T
On S.id=T.Student_ID inner join Exam_Result er
On er.Student_ID = T.Student_ID And er.Score=T.Score
Answering the EDITED question (i.e. to get associated columns as well).
In Sql Server 2005+, the best approach would be to use a ranking/window function in conjunction with a CTE, like this:
with exam_data as
(
select r.student_id, r.score, r.date,
row_number() over(partition by r.student_id order by r.score desc) as rn
from exam_results r
)
select s.name, d.score, d.date, d.student_id
from students s
join exam_data d
on s.id = d.student_id
where d.rn = 1;
For an ANSI-SQL compliant solution, a subquery and self-join will work, like this:
select s.name, r.student_id, r.score, r.date
from (
select r.student_id, max(r.score) as max_score
from exam_results r
group by r.student_id
) d
join exam_results r
on r.student_id = d.student_id
and r.score = d.max_score
join students s
on s.id = r.student_id;
This last one assumes there aren't duplicate student_id/max_score combinations, if there are and/or you want to plan to de-duplicate them, you'll need to use another subquery to join to with something deterministic to decide which record to pull. For example, assuming you can't have multiple records for a given student with the same date, if you wanted to break a tie based on the most recent max_score, you'd do something like the following:
select s.name, r3.student_id, r3.score, r3.date, r3.other_column_a, ...
from (
select r2.student_id, r2.score as max_score, max(r2.date) as max_score_max_date
from (
select r1.student_id, max(r1.score) as max_score
from exam_results r1
group by r1.student_id
) d
join exam_results r2
on r2.student_id = d.student_id
and r2.score = d.max_score
group by r2.student_id, r2.score
) r
join exam_results r3
on r3.student_id = r.student_id
and r3.score = r.max_score
and r3.date = r.max_score_max_date
join students s
on s.id = r3.student_id;
EDIT: Added proper de-duplicating query thanks to Mark's good catch in comments
SELECT s.name,
COALESCE(MAX(er.score), 0) AS high_score
FROM STUDENTS s
LEFT JOIN EXAM_RESULTS er ON er.student_id = s.id
GROUP BY s.name
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