Un primo passo è calcolare avg_num_votes
e avg_rating
:
SELECT
SUM(totalVotes)/COUNT(*) AS avg_num_votes,
SUM(avgVote)/COUNT(*) AS avg_rating
FROM voting;
Se riesci a convivere con un piccolo errore, potrebbe essere abbastanza buono calcolarlo una volta ogni tanto.
Ora, usando la tua formula e i valori sopra, puoi eseguire la query di pesatura. Come piccola ottimizzazione precalcolo avg_num_votes * avg_rating
e chiamalo avg_summand
SELECT
voting.*, -- or whatever fields you need
($avg_summand+totalVotes*avgVote)/($avg_num_votes+totalVotes) AS bayesian
FROM voting
ORDER BY bayesian DESC
LIMIT 1;
Modifica
Puoi eseguirlo come un join:
SELECT
voting.*, -- or whatever fields you need
(avg_num_votes*avg_rating+totalVotes*avgVote)/(avg_num_votes+totalVotes) AS bayesian
FROM voting,
(
SELECT
SUM(totalVotes)/COUNT(*) AS avg_num_votes,
SUM(avgVote)/COUNT(*) AS avg_rating
FROM voting AS iv
) AS avg
ORDER BY bayesian DESC
LIMIT 1;
Ma questo calcolerà la somma e la media su ogni singola query:chiamala una bomba delle prestazioni.