In social network like Facebook or Twitter, people send friend requests and accept others' requests as well.
Table request_accepted holds the data of friend acceptance, while requester_id and accepter_id both are the id of a person.
| requester_id | accepter_id | accept_date|
|--------------|-------------|------------|
| 1 | 2 | 2016_06-03 |
| 1 | 3 | 2016-06-08 |
| 2 | 3 | 2016-06-08 |
| 3 | 4 | 2016-06-09 |
Write a query to find the the people who has most friends and the most friends number. For the sample data above, the result is:
| id | num |
|----|-----|
| 3 | 3 |
Note:
It is guaranteed there is only 1 people having the most friends.
The friend request could only been accepted once, which mean there is no multiple records with the same requester_id and accepter_id value.
Explanation:
The person with id '3' is a friend of people '1', '2' and '4', so he has 3 friends in total, which is the most number than any others.
- Use
UNION ALL
s.t results fromboth SELECT
are combined - Note
JOIN
Issue would be handling NULL valuesLEFT JOIN
need to handle potential duplicate onesJOIN
would leave outrequester_id
that DOES NOT APPEAR inaccepter_id
SELECT v1.id, SUM(v1.num) AS num
FROM
( SELECT requester_id AS id, COUNT(requester_id) AS num
FROM request_accepted
GROUP BY 1
UNION ALL
SELECT accepter_id AS id, COUNT(accepter_id) AS num
FROM request_accepted
GROUP BY 1 ) v1
GROUP BY v1.id
ORDER BY num DESC
LIMIT 1
select ids as id, cnt as num
from
(
select ids, count(*) as cnt
from
(
select requester_id as ids from request_accepted
union all
select accepter_id from request_accepted
) as tbl1
group by ids
) as tbl2
order by cnt desc
limit 1
;
##Follow-up: ####In the real world, multiple people could have the same most number of friends, can you find all these people in this case?
- Idea: to create v1 again and this time extract the max value
- now put this max value to current v1 with condition
>=
- now put this max value to current v1 with condition