3
下面的查詢慢得令人難以置信,最有可能下降到子查詢刪除子查詢以提高性能
SELECT *
FROM releases
INNER JOIN release_artists ON release_artists.release_id = releases.id
WHERE release_artists.artists IN (SELECT release_artists.artists
FROM release_artists
INNER JOIN charts_extended ON charts_extended.release_id = release_artists.release_id
WHERE charts_extended.artist = 'Quickinho'
GROUP BY release_artists.artists)
GROUP BY releases.id
ORDER BY releases.date DESC
LIMIT 0,60
charts_extended.artist
有大約2500條記錄所以這應該不會冒那麼久。我可以使用什麼來代替子查詢?
EXPLAIN
給出
1 PRIMARY releases index PRIMARY date 82 NULL 60 Using temporary
1 PRIMARY release_artists ref release_id release_id 4 soundshe.releases.id 1 Using where; Using index
2 DEPENDENT SUBQUERY charts_extended ref artist_2,release_id,artist artist_2 82 const 2472 Using where; Using index; Using temporary; Using filesort
2 DEPENDENT SUBQUERY release_artists ref release_id release_id 4 soundshe.charts_extended.release_id 1 Using index
表DESC
下面
charts_extended
id int(11) NO PRI NULL auto_increment
artist varchar(80) NO MUL NULL
url text NO NULL
release_id int(11) NO MUL NULL
date varchar(50) NO NULL
type varchar(4) NO NULL
source varchar(3) NO NULL
釋放
id int(11) NO PRI NULL
artist varchar(255) NO MUL NULL
all_artists varchar(200) NO MUL NULL
format varchar(80) NO MUL NULL
title varchar(255) NO MUL NULL
label varchar(255) NO MUL NULL
label_no_country varchar(255) NO MUL NULL
link text NO NULL
genre varchar(50) NO MUL NULL
date varchar(80) NO MUL NULL
image text NO NULL
favourite varchar(1) NO NULL
time varchar(20) NO NULL
category varchar(30) NO MUL NULL
format_category varchar(20) NO MUL NULL
display varchar(1) NO NULL
image_stored varchar(1) NO NULL
個
release_artists
id int(11) NO PRI NULL auto_increment
release_id int(10) NO MUL NULL
artists varchar(100) NO NULL