I have a table of "Songs", "Songs_Tags" (relating songs with tags) and "Songs_Votes" (relating songs with boolean like/dislike).
I need to retrieve the songs with a GROUP_CONCAT() of its tags and also the number of likes (true) and dislikes (false).
My query is something like that:
SELECT
s.*,
GROUP_CONCAT(st.id_tag) AS tags_ids,
COUNT(CASE WHEN v.vote=1 THEN 1 ELSE NULL END) as votesUp,
COUNT(CASE WHEN v.vote=0 THEN 1 ELSE NULL END) as votesDown,
FROM Songs s
LEFT JOIN Songs_Tags st ON (s.id = st.id_song)
LEFT JOIN Votes v ON (s.id=v.id_song)
GROUP BY s.id
ORDER BY id DESC
The problem is that when a Song has more than 1 tag, it gets returned more then once, so when I do the COUNT(), it returns more results.
The best solution I could think is if it would be possible to do the last LEFT JOIN after the GROUP BY (so now there would be only one entry for each song). Then I'd need another GROUP BY m.id.
Is there a way to accomplish that? Do I need to use a subquery?
MySQL LEFT JOIN with Group By ClauseThe Left Join can also be used with the GROUP BY clause. The following statement returns customer id, customer name, qualification, price, and date using the Left Join clause with the GROUP BY clause.
SQL Inner Join permits us to use Group by clause along with aggregate functions to group the result set by one or more columns. Group by works conventionally with Inner Join on the final result returned after joining two or more tables.
Using Group By and Order By Together When combining the Group By and Order By clauses, it is important to bear in mind that, in terms of placement within a SELECT statement: The GROUP BY clause is placed after the WHERE clause. The GROUP BY clause is placed before the ORDER BY clause.
The WHERE clause is applied before the GROUP BY clause. It filters non-aggregated rows before the rows are grouped together. To filter grouped rows based on aggregate values, use the HAVING clause. The HAVING clause takes any expression and evaluates it as a boolean, just like the WHERE clause.
There've been some good answers so far, but I would adopt a slightly different method quite similar to what you described originally
SELECT
songsWithTags.*,
COALESCE(SUM(v.vote),0) AS votesUp,
COALESCE(SUM(1-v.vote),0) AS votesDown
FROM (
SELECT
s.*,
COLLATE(GROUP_CONCAT(st.id_tag),'') AS tags_ids
FROM Songs s
LEFT JOIN Songs_Tags st
ON st.id_song = s.id
GROUP BY s.id
) AS songsWithTags
LEFT JOIN Votes v
ON songsWithTags.id = v.id_song
GROUP BY songsWithTags.id DESC
In this the subquery is responsible for collating songs with tags into a 1 row per song basis. This is then joined onto Votes afterwards. I also opted to simply sum up the v.votes column as you have indicated it is 1 or 0 and therefore a SUM(v.votes) will add up 1+1+1+0+0 = 3 out of 5 are upvotes, while SUM(1-v.vote) will sum 0+0+0+1+1 = 2 out of 5 are downvotes.
If you had an index on votes with the columns (id_song,vote) then that index would be used for this so it wouldn't even hit the table. Likewise if you had an index on Songs_Tags with (id_song,id_tag) then that table wouldn't be hit by the query.
edit added solution using count
SELECT
songsWithTags.*,
COUNT(CASE WHEN v.vote=1 THEN 1 END) as votesUp,
COUNT(CASE WHEN v.vote=0 THEN 1 END) as votesDown
FROM (
SELECT
s.*,
COLLATE(GROUP_CONCAT(st.id_tag),'') AS tags_ids
FROM Songs s
LEFT JOIN Songs_Tags st
ON st.id_song = s.id
GROUP BY s.id
) AS songsWithTags
LEFT JOIN Votes v
ON songsWithTags.id = v.id_song
GROUP BY songsWithTags.id DESC
Try this:
SELECT
s.*,
GROUP_CONCAT(DISTINCT st.id_tag) AS tags_ids,
COUNT(DISTINCT CASE WHEN v.vote=1 THEN id_vote ELSE NULL END) AS votesUp,
COUNT(DISTINCT CASE WHEN v.vote=0 THEN id_vote ELSE NULL END) AS votesDown
FROM Songs s
LEFT JOIN Songs_Tags st ON (s.id = st.id_song)
LEFT JOIN Votes v ON (s.id=v.id_song)
GROUP BY s.id
ORDER BY id DESC
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