I have three tables that I need get information from, 1 table has the information in and the other two hold information that i need to count.
so the first tables structure is:
tbl_img
img_id
img_name
tbl_comments
comment_id
img_id
comment
tbl_vote
vote_id
logo_id
I want the results to have the count of comments and votes that relate to each logo.
I have a bit of the query which is for the count of comments, but have no idea for the syntax for the second join.
SELECT l.img_id, l.img_name, COUNT(c.comment_id) AS comment_count
FROM tbl_images as l
LEFT OUTER JOIN tbl_comments AS c USING (img_id);
Can anyone help?
how about this :
SELECT l.img_id, l.img_name,
(SELECT COUNT(*) FROM tbl_comments c WHERE i.img_id = c.img_id ) AS comment_count,
(SELECT COUNT(*) FROM tbl_vote v WHERE i.img_id = v.img_id ) AS vote_count
FROM tbl_images i
Sounds like you need two queries for this: One for counting the votes, and one for counting the comments.
As far as I know, COUNT counts result rows, and joins create result rows to display all allowed permutations of joined tables.
Assuming you have I entries, each with J comments and K votes, you would receive J*K rows for each entry after joins, and COUNTs would both return that J*K instead of the correct amount.
I do not remember if you can do inner queries in MySQL, but that would be the way to go.
(See #Kevin Burtons answer)
Related
I'm trying to join 2 tables and count the number of entries for unique variables in one of the columns. In this case I'm trying to join 2 tables - patients and trials (patients has a FK to trials) and count the number of patients that show up in each trial. This is the code i have so far:
SELECT patients.trial_id, trials.title
FROM trials
JOIN(SELECT patients, COUNT(id) AS Num_Enrolled
FROM patients
GROUP BY trials) AS Trial_Name;
The Outcome I'm trying to acheive is:
Trial_Name Num_Patients
Bushtucker 5
Tribulations 7
I'm completely new to sql and have been struggling with the syntax compared to scripting languages.
It's not 100% clear from your question of the names of your columns however you are after a basic aggregation. Adjust the names of the columns if necessary:
select t.title Trial_Name, Count(*) Num_Patients
from Trials t
join Patients p on p.Trial_Id = t.Id
group by t.title;
Based on Stu-'s answer, I want to say that your column naming is wrong.But you can write query based on logic like this.
SELECT trial.title AS Trial_Name, COUNT(p.id) AS Num_Patients
FROM trial
INNER JOIN patients AS p
ON trial.patient_fk_id = p.id
GROUP BY trial.title,p.id;
This my query
Select articles.id,articles.userid,articles.article,count(articles_likes.id), count(article_dislikes.id)
from articles
Left join article_likes
on article_likes.article_id=articles.id
Left join article_dislikes
on article_dislikes.article_id=articles.id
group by articles.id ;
I want to count the number of rows in article_likes table and article_dislikes table im getting the value correct upto 2 rows. When there is a third and so on entries. I'm getting wrong counting of rows.
I don't know where the problem is. I think I may be getting wrong values because I'm using the same table for two times.
I have three tables
1)articles contains id,userid and article
2)Articles_likes table contains-like_id ,user_id and article_id
3)Articles_dislikes table contains dislike_id ,user_id and article_id
Your joins are combining every like of an article with every dislike of the same article. As a result you get the product of the two counts. So if an article has 3 likes and 2 dislikes, the joins will generate 6 rows and you get 6 as result for both counts. You could workaround with COUNT(DISTINCT ..), but if you have alot of likes and dislikes, you might also get performance issues. So you should avoid these joins and either preaggregate in subqueries in FROM clause, or use correlated subqueries in SELECT clause like here:
select
articles.id,
articles.userid,
articles.article,
(
select count(*)
from article_likes
where article_likes.article_id = articles.id
) as likes_count,
(
select count(*)
from article_dislikes
where article_dislikes.article_id = articles.id
) as dislikes_count
from articles
Suppose I have two tables, users and posts. Posts has the following fields, userid, postid, etc and userid can appear multiple times as one user can write multiple posts....I'm just trying sort the users table based off the # of occurrences per userid in the posts table. I can get the # of occurrences per user using this
SELECT userid, COUNT(*)
FROM posts
GROUP BY userid;
I would like to use the values under COUNT(*) column, maybe add it to my other table because then I can simply to something like this
SELECT * FROM users
ORDER BY newcolumn ASC;
but I'm having trouble doing that. Or can I do it without having to add an extra column? Hints please. Thanks
Left join is the key here!
SELECT users.userid,count(posts.userid) AS total_count
FROM users
LEFT JOIN posts on posts.userid = users.userid
GROUP BY users.userid
ORDER BY total_count DESC;
We are taking the left join on two tables with same user_id and we are counting the total number of posts per user using group by. Finally sort by count and show results.
try an left join:
select users.userid, [user fields],count(postid) as posts_count
from users
left join posts on posts.userid = users.userid
group by users.userid,[user fields]
order by posts_count desc.
You want to select users (FROM users) but you want to sort based on criteria in another table (COUNT(*) FROM posts) -- therefore you need to use a JOIN
Off-hand I can't seem to recall if "JOIN" or "RIGHT JOIN" or "FULL JOIN" is what you need if you wanted to get a cartesian product of the tables then group and aggregate on a single field, but I can avoid the need to remember with a subquery (hopefully someone will soon post a smaller and smarter answer):
SELECT users.* FROM users
JOIN (
SELECT userid, COUNT(*) as count
FROM posts
GROUP BY userid
) as subquery ON users.id = subquery.userid
ORDER BY subquery.count
Note: I haven't tested this query, but it looks good to me. Again: hopefully someone will post a better answer soon as I'm not doing my due dilligence, but you definitely need a JOIN :)
You could add a post_count column to the users table, but you would also have to update that count column every time a user creates a new post and you would have to build that logic into your application.
Otherwise, it looks like the answer from FallAndLearn will get you what you need.
I have an elementary question about SQL query with joining the same table twice. It sounds very simple, but I have some troubles with it. I hope, anyone can help me with this issue :)
I have two little tables: "peoples" (columns: id, name, ...) and "likes" (id, who, whom). People may set the "likes" to each other. The relationship is many to many.
I want get the table with peoples likes: count of received "likes", delivered and count of mutual likes.
All is correctly, when I use only one join. But for two joins (or more) MySQL combine all rows (as expected) and I get wrong values in counts. I don't know, how I must use count/sum/group-by operators in this case:( I would like to do this without subqueries in one query.
I used a query like this:
SELECT *, count(l1.whom), count(l2.whom)
FROM people p
LEFT JOIN likes l1 ON l1.who = p.id
LEFT JOIN likes l2 ON l2.whom = p.id
GROUP BY p.id;
SELECT p.id, name,
count(lwho.who) delivered_likes,
count(lwhom.whom) received_likes,
count(lmut.who) mutual_likes
FROM people AS p
LEFT JOIN likes AS lwho ON p.id = lwho.who
LEFT JOIN likes AS lwhom ON lwhom.id = lwho.id
LEFT JOIN likes AS lmut ON lwhom.who = lmut.whom AND lwhom.whom = lmut.who
GROUP BY p.id;
But it's calculated the counts of likes incorrect.
It's issue just for training and performance is not important, but I guess, that three joins in my last query is too much. Can I do it using 2 joins?
Thanks in advance for help.
I surmise that there is a 1:N relationship between people and likes.
One problem with your second query, as far as I can tell, is that the lwhom correlation of likes is joined to lwho via id=id. Basically lwhom is lwho. I'd recommend changing the ON clause for this correlation from lwhom.id = lwho.id to p.id = lwhom.whom.
The counts will still be affected by the JOINs, however. Supposing that you have an ID column in the likes table, though, you could then have each COUNT tally the distinct Like IDs per person – if not, consider just using COUNT(DISTINCT correlation.*) instead.
Digressions aside, the following should hopefully work:
SELECT p.id, name,
count(distinct lwho.id) delivered_likes,
count(distinct lwhom.id) received_likes,
count(distinct lmut.id) mutual_likes
FROM people AS p
LEFT JOIN likes AS lwho ON p.id = lwho.who
LEFT JOIN likes AS lwhom ON p.id = lwhom.whom
LEFT JOIN likes AS lmut ON lwhom.who = lmut.whom AND lwhom.whom = lmut.who
GROUP BY p.id,p.name;
I have an SQL Fiddle here.
I have to tables in my database, the first one (participants) look just like that:
And I have another called votes in which I can vote for any participants.
So my problem is that I'm trying to get all the votes of each participant but when I execute my query it only retrieves four rows sorted by the COUNT of votes, And the other remaining are not appearing in my query:
SELECT COUNT(DISTINCT `votes`.`id`) AS count_id, participants.name
AS participant_name FROM `participants` LEFT OUTER JOIN `votes` ON
`votes`.`participant_id` = `participants`.`id` GROUP BY votes.participant_id ORDER BY
votes.participant_id DESC;
Retrieves:
I think the problem is that you're grouping by votes.participant_id, rather than participants.id, which limits you to participants with votes, the outer join notwithstanding. Check out http://sqlfiddle.com/#!2/c5d3d/5/0
As what i have understood from the query you gave you were selecting unique id's from the votes table and I assume that your column id is not an identity. but it would be better if that would be an identity? and if so, here is my answer.replace your select with these.
Select count (votes.participant.id) as count_id ,participants.name as participant_name
from participants join votes
on participants.id = vote.participant_id
group by participants.name
order by count_id
just let me know if it works
cheers