Working with a database structure I didn't create and hoping for some help on a simple MySQL query. I have a voting table votes
with these fields:
vote_id
= unique vote identifier
item_id
= id of the entry voted on
voter_id
= the id of the member who entered the vote
vote_date
= the date of the vote
vote
= the type of vote (1 or 2)
Each user can vote multiple times on a site entry specified by item_id
. They can place a vote of 1 which is a "like" vote, or a vote of 2 which is an "unlike" vote. Each time they vote, a new record is created. I would like to be able to find the most recent vote
value for each user on a particular item_id
and then be able to actually SUM or COUNT the vote column IF the vote value is a "like" (value of 1)
For example
vote_id item_id voter_id vote_date vote
60 9 27 1273770151 1
153 9 45 1274896188 1
163 9 3 1274918584 1
164 9 3 1275021495 2
1051 9 181 1290839090 1
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I want to get the newest vote
values for each user, and then do a count of how many votes of 1 there are. In this case, the # would be 3
27 = 1
45 = 1
3 = 2
181 = 1
3
Ideally once I have a "score" for each item_id
, the query would be able to SUM the score of each one into a total # of ALL current "likes" on the site.
Thanks for any help with this. I did my best to find an answer to this by searching but nothing was exactly right.
Much appreciated.
[EDIT:] I added values (1052, 10, 3, 1290839091, 1) to better exercise the problem, and had to add "item_id" to the sub-query that extracts newest votes.
Yay! Finally a stackoverflow question I can actually answer!!! I've been browsing around for a week looking for something short & sweet & up my alley. Thanks for a fun SQL problem!
First, you need to extract the newest votes. The combination of (voter_id, item_id, vote_date) better be unique for this approach to work!
SELECT
voter_id, item_id, MAX(vote_date) AS vote_date
FROM
votes
GROUP BY
voter_id, item_id
Results:
+----------+---------+------------+
| voter_id | item_id | vote_date |
+----------+---------+------------+
| 3 | 9 | 1275021495 |
| 3 | 10 | 1290839091 |
| 27 | 9 | 1273770151 |
| 45 | 9 | 1274896188 |
| 181 | 9 | 1290839090 |
+----------+---------+------------+
And then you need to join the original table against these results. A sub-select will do the job. Notice how the query above is copy & pasted into the join below, but now it's given the name "tmp":
SELECT
v.*
FROM (
SELECT
voter_id, item_id, MAX(vote_date) AS vote_date
FROM
votes
GROUP BY
voter_id, item_id
) tmp
INNER JOIN
votes v ON ( v.vote_date = tmp.vote_date
AND v.voter_id = tmp.voter_id
AND v.item_id = tmp.item_id
)
Results:
+---------+---------+----------+------------+------+
| vote_id | item_id | voter_id | vote_date | vote |
+---------+---------+----------+------------+------+
| 60 | 9 | 27 | 1273770151 | 1 |
| 153 | 9 | 45 | 1274896188 | 1 |
| 164 | 9 | 3 | 1275021495 | 2 |
| 1051 | 9 | 181 | 1290839090 | 1 |
| 1052 | 10 | 3 | 1290839091 | 1 |
+---------+---------+----------+------------+------+
I trust you know what to do from here.... oh darn it, I can't help myself, this is too cute:
SELECT
v.item_id, SUM(2 - v.vote) AS likes, SUM(v.vote - 1) AS dislikes
FROM (
SELECT
voter_id, item_id, MAX(vote_date) AS vote_date
FROM
votes
GROUP BY
voter_id, item_id
) tmp
INNER JOIN
votes v ON ( v.vote_date = tmp.vote_date
AND v.voter_id = tmp.voter_id
AND v.item_id = tmp.item_id
)
GROUP BY
v.item_id
Results:
+---------+-------+----------+
| item_id | likes | dislikes |
+---------+-------+----------+
| 9 | 3 | 1 |
| 10 | 1 | 0 |
+---------+-------+----------+
Unsure of the question, is this what you're looking for?
SELECT COUNT(*) FROM votes WHERE vote = '1' AND item_id = '9'
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