So, let's say I have a hash/relational table that connects users, teams a user can join, and challenges in which teams participate (teams_users_challenges), as well as a table that stores entered data for all users in a given challenge (entry_data). I want to get the average scores for each user in the challenge (the average value per day in a given week). However, there is a chance that a user will somehow join more than one team erroneously (which shouldn't happen, but does on occasion). Here is the SQL query below that gets a particular user's score:
SELECT tuc.user_id, SUM(ed.data_value) / 7 as valueFROM teams_users_challenges tucLEFT JOIN entry_data ed ON ( tuc.user_id = ed.user_id AND ed.entry_date BETWEEN '2013-09-16' AND '2013-09-22')WHERE tuc.challenge_id = ___AND tuc.user_id = ___If a user has mistakenly joined more than one team, (s)he would have more than one entry in teams_users_challenges, which would essentially duplicate the data retrieved. So if a user is on 3 different teams for the same challenge, (s)he would have 3 entries in teams_users_challenges, which would multiply their average value by 3, thanks to the LEFT JOIN that automatically takes in all records, and not just one.
I've tried using GROUP BY, but that doesn't seem to restrict the data to only one instances within teams_users_challenges. Does anybody have any ideas as to how I could restrict the query to only take in one record within teams_users_challenges?
ADDENDUM: The columns within teams_users_challenges are team_id, user_id, and challenge_id.