I have three tables types, post and insights.
Types table contains the types of post.
post table contains the post that have been made.
the insight table contains the insights of post on daily basis.
Here is the link to my sql fiddle SQL Fiddle.
Now i want to generate a report which contains number of post against each type and the sum of their likes and comments i.e. Type | COUNT(post_id) | SUM(likes) | SUM(comments).
These are my tries:
select type_name, count(p.post_id), sum(likes), sum(comments)
from types t
left join posts p on t.type_id = p.post_type
left join insights i on p.post_id = i.post_id
group by type_name;
Result: Aggregate values are not correct.
select type_name, count(p.post_id), p.post_id,
(select sum(likes) from insights where post_id = p.post_id) as likes,
(select sum(comments)from insights where post_id = p.post_id) as comments
from types t
left join posts p on t.type_id = p.post_type
group by type_name;
Result: Displays the sum of likes and comments of only one post.
Your first attempt was real close. But each post_id was being multiplied by the number of matches in insights, so you need to use DISTINCT:
select type_name, count(distinct p.post_id), sum(likes), sum(comments)
from types t
left join posts p on t.type_id = p.post_type
left join insights i on p.post_id = i.post_id
group by type_name;
Alternatively, you can group with a subquery that combines all the insights for the same post:
select type_name, count(*), sum(likes), sum(comments)
from types t
left join posts p on t.type_id = p.post_type
left join (select post_id, sum(likes) likes, sum(comments) comments
from insights
group by post_id) i on p.post_id = i.post_id
group by type_name;
FIDDLE
try this
SELECT types.type_name, stats.posts, stats.likes, stats.comments
FROM types
LEFT JOIN (
select post_type, count(i.post_id) as posts, sum(i.likes) as likes, sum(i.comments) as comments
from insights i INNER JOIN posts p ON i.post_id = p.post_id
) as stats
ON types.type_id = stats.post_type;
Related
SELECT
posts.id,posts.user_id,
username, title,posts.body as post_body, posts.created_at, posts.is_open, posts.views as views, users.photoUrl,
COUNT(DISTINCT answers.id) as answer_count,
COUNT(DISTINCT comments.id) as comment_count,
COUNT (CASE answers.approved WHEN 1 THEN 1 ELSE null END) as correct_count,
GROUP_CONCAT(tagname) as tags
FROM posts
LEFT JOIN posttag ON posts.id = post_id
JOIN tags ON tag_id = tags.id
JOIN users ON user_id = users.id
LEFT JOIN answers ON answers.post_id = posts.id
LEFT JOIN comments ON posts.id = comments.post_id
WHERE posts.id = ?;
I am trying to query every post with its corresponding answers, comments and tags.
However in my query result, I get 8 tags when there are 4
The COUNT correct_count changes from from 1 to 4
How can I get the correct data?
Use DISTINCT for correct_count and tags also:
.....................................
COUNT(DISTINCT CASE WHEN answers.approved THEN answers.id END) as correct_count,
GROUP_CONCAT(DISTINCT tagname) as tags
I'm currently creating a small application where users can post a text which can be commented and the post can also be voted (+1 or -1).
This is my database:
Now I want to select all information of all posts with status = 1 plus two extra columns: One column containing the count of comments and one column containing the sum (I call it score) of all votes.
I currently use the following query, which correctly adds the count of the comments:
SELECT *, COUNT(comments.fk_commented_post) as comments
FROM posts
LEFT JOIN comments
ON posts.id_post = comments.fk_commented_post
AND comments.status = 1
WHERE posts.status = 1
GROUP BY posts.id_post
Then I tried to additionally add the sum of the votes, using the following query:
SELECT *, COUNT(comments.fk_commented_post) as comments, SUM(votes_posts.type) as score
FROM posts
LEFT JOIN comments
ON posts.id_post = comments.fk_commented_post
AND comments.status = 1
LEFT JOIN votes_posts
ON posts.id_post = votes_posts.fk_voted_post
WHERE posts.status = 1
GROUP BY posts.id_post
The result is no longer correct for either the votes or the comments. Somehow some of the values seem to be getting multiplied...
This is probably simpler using correlated subqueries:
select p.*,
(select count(*)
from comments c
where c.fk_commented_post = p.id_post and c.status = 1
) as num_comments,
(select sum(vp.type)
from votes_posts vp
where c.fk_voted_post = p.id_post
) as num_score
from posts p
where p.status = 1;
The problem with join is that the counts get messed up because the two other tables are not related to each tother -- so you get a Cartesian product.
You want to join comments counts and votes counts to the posts. So, aggregate to get the counts, then join.
select
p.*,
coalesce(c.cnt, 0) as comments,
coalesce(v.cnt, 0) as votes
from posts p
left join
(
select fk_commented_post as id_post, count(*) as cnt
from comments
where status = 1
group by fk_commented_post
) c on c.id_post = p.id_post
left join
(
select fk_voted_post as id_post, count(*) as cnt
from votes_posts
group by fk_voted_post
) v on v.id_post = p.id_post
where p.status = 1
order by p.id_post;
I have three tables types, post and insights.
Types table contains the types of post.
post table contains the post that have been made.
the insight table contains the insights of post on daily basis.
Here is the link to my sql fiddle SQL Fiddle.
Now i want to generate a report which contains number of post against each type and the sum of their likes and comments i.e. Type | COUNT(post_id) | SUM(likes) | SUM(comments).
These are my tries:
select type_name, count(p.post_id), sum(likes), sum(comments)
from types t
left join posts p on t.type_id = p.post_type
left join insights i on p.post_id = i.post_id
group by type_name;
Result: Aggregate values are not correct.
select type_name, count(p.post_id), p.post_id,
(select sum(likes) from insights where post_id = p.post_id) as likes,
(select sum(comments)from insights where post_id = p.post_id) as comments
from types t
left join posts p on t.type_id = p.post_type
group by type_name;
Result: Displays the sum of likes and comments of only one post.
Your first attempt was real close. But each post_id was being multiplied by the number of matches in insights, so you need to use DISTINCT:
select type_name, count(distinct p.post_id), sum(likes), sum(comments)
from types t
left join posts p on t.type_id = p.post_type
left join insights i on p.post_id = i.post_id
group by type_name;
Alternatively, you can group with a subquery that combines all the insights for the same post:
select type_name, count(*), sum(likes), sum(comments)
from types t
left join posts p on t.type_id = p.post_type
left join (select post_id, sum(likes) likes, sum(comments) comments
from insights
group by post_id) i on p.post_id = i.post_id
group by type_name;
FIDDLE
try this
SELECT types.type_name, stats.posts, stats.likes, stats.comments
FROM types
LEFT JOIN (
select post_type, count(i.post_id) as posts, sum(i.likes) as likes, sum(i.comments) as comments
from insights i INNER JOIN posts p ON i.post_id = p.post_id
) as stats
ON types.type_id = stats.post_type;
SQL Query:
SELECT
T.*,
U.nick AS author_nick,
P.id AS post_id,
P.name AS post_name,
P.author AS post_author_id,
P.date AS post_date,
U2.nick AS post_author
FROM
zero_topics T
LEFT JOIN
zero_posts P
ON
T.id = P.topic_id
LEFT JOIN
zero_players U
ON
T.author = U.uuid
LEFT JOIN
zero_players U2
ON
P.author = U2.uuid
ORDER BY
CASE
WHEN P.date is null THEN T.date
ELSE P.date
END DESC
Output:
Topics:
Posts:
Question: Why i have duplicated topic id 22? i have in mysql two topics (id 22 and 23) and two posts(id 24 and 25). I want to see topic with last post only.
If a join produces multiple results and you want only at most one result, you have to rewrite the join and/or filtering criteria to provide that result. If you want only the latest result of all the results, it's doable and reasonably easy once you use it a few times.
select a.Data, b.Data
from Table1 a
left join Table2 b
on b.JoinValue = a.JoinValue
and b.DateField =(
select Max( DateField )
from Table2
where JoinValue = b.JoinValue );
The correlated subquery pulls out the one date that is the highest (most recent) value of all the joinable candidates. That then becomes the row that takes part in the join -- or, of course, nothing if there are no candidates at all. This is a pattern I use quite a lot.
I'm a little bit confused about a stupid query:
I get rows from the table posts joined with the table authors and the table comments, in a way like this:
SELECT posts.*, authors.name, COUNT(comments.id_post) AS num_comments
FROM posts JOIN authors ON posts.id_author = authors.id_author
LEFT JOIN comments ON posts.id_post = comments.id_post
WHERE posts.active = 1
AND comments.active = 1
this doesn't work, of course.
What I try to do is to retrieve:
1) all my active post (those that were not marked as deleted);
2) the names of their authors;
3) the number of active comments (those that were not marked as deleted) for each post (if there is at least one);
What's the way? I know it's a trivial one, but by now my brain is in offside…
Thanks!
Presumably, id_post uniquely identifies each row in posts. Try this:
SELECT p.*, a.name, COUNT(c.id_post) AS num_comments
FROM posts p JOIN
authors a
ON p.id_author = a.id_author LEFT JOIN
comments c
ON p.id_post = c.id_post
WHERE p.active = 1 AND c.active = 1
GROUP BY p.id_post;
Note that this uses a MySQL extension. In most other databases, you would need to list all the columns in posts plus a.name in the group by clause.
EDIT:
The above is based on your query. If you want all active posts with a count of active comments, just do:
SELECT p.*, a.name, SUM(c.active = 1) AS num_comments
FROM posts p LEFT JOIN
authors a
ON p.id_author = a.id_author LEFT JOIN
comments c
ON p.id_post = c.id_post
WHERE p.active = 1
GROUP BY p.id_post;
Since you are doing a count, you need to have a group by. So you will need to add
Group By posts.*, authors.name
You should you GROUP BY clause together with aggregate functions. Try something similar to:
SELECT posts.*, authors.name, COUNT(comments.id_post) AS num_comments
FROM posts JOIN authors ON posts.id_author = authors.id_author
LEFT JOIN comments ON posts.id_post = comments.id_post
-- group by
GROUP BY posts.*, authors.name
--
WHERE posts.active = 1
AND comments.active = 1
I found the correct solution:
SELECT posts.id_post, authors.name, COUNT(comments.id_post) AS num_comments
FROM posts JOIN authors
ON posts.id_author = authors.id_author
LEFT OUTER JOIN comments
ON (posts.id_post = comments.id_post AND comments.active = 1)
WHERE posts.active = 1
GROUP BY posts.id_post;
Thanks everyone for the help!