I have a table structured like this:
user_id saved_id
1 2
1 34
1 36
2 489
2 14
3 731
4 48
5 901
6 234
6 9
6 64
What I would like to do is first count how many saved ids each user has, and then group these results so that I know how often each total_saves occurs.
This is what I currently have:
SELECT user_id, count(*) as total_saves FROM table GROUP BY user_id ORDER BY total_saves DESC
Which gives me
user_id total_saves
1 3
6 3
2 2
3 1
4 1
5 1
What I would like to have is this:
total_saves count
3 2
2 1
1 3
Can't get my head around how to group the total_saves that I already have. I tried GROUP BY total_saves but that doesn't work.
Use two aggregations:
select total_saves, count(*) as cnt
from (select user_id, count(*) as total_saves
from t
group by user_id
) t
group by total_saves;
Use Subquery
select total_saves, count(total_saves) as count
from (select user_id, count(*) as total_saves
from table
group by user_id
) a
group by total_saves order by total_saves;
Related
I have 2 tables, first one is called members:
id name show
1 John 1
2 Wil 1
3 George 1
4 Chris 1
Second is called score:
id user_id score
1 1 90
2 1 70
3 2 55
4 3 30
5 3 40
6 3 100
7 4 30
user_id from score is the id of members.
What I want is to show a scorelist with unique members.id, ordered by score.score and order by the latest score.id.
I use the following code:
SELECT members.id, members.show, score.id, score.user_id, score.score FROM members
INNER JOIN score ON score.user_id = members.id
WHERE members.show = '1'
GROUP BY score.user_id
ORDER BY score.score DESC, score.id DESC
The output is not ordered by the latest score.id, but it does show only unique user_id's:
id user_id score
1 1 90
3 2 55
4 3 30
7 4 30
It should be like:
id user_id score
6 3 100
2 1 70
3 2 55
7 4 30
I hope you can help me
You could use:
with cte as (
select id,
user_id,
score,
row_number() over(partition by user_id order by id desc) as row_num
from score
) select cte.id,user_id,score
from cte
inner join members m on cte.user_id=m.id
where row_num=1
order by score desc;
Demo
If your MySQL server doesn't support windows function, use:
select s.id,s.user_id,s.score
from score s
inner join members m on s.user_id=m.id
where s.id in (select max(id) as id
from score
group by user_id
)
order by score desc;
Demo
I have a table like following
item_id link_id
1 10
1 20
2 100
2 40
2 10
3 10
3 30
4 10
4 20
4 30
I ran the query to find occurrence of each item_id
select `item_id`, count(`item_id`)
from `table`
group by `order_id`
which gave me the result
item_id count('item_id')
1 2
2 3
3 2
4 3
But I have to find out how many time did i had each value in result, something like this
count('item_id') Occurence
2 2
3 2
How should I update the query
Use two levels of aggregation:
select cnt, count(*), min(item_id), max(item_id)
from (select `item_id`, count(`item_id`) as cnt
from `table`
group by `order_id`
) i
group by cnt;
I also often add min(item_id), max(item_id) to such queries to get examples for each count.
I know that you can use the GROUP BY keyword to group by multiple columns, but here's what I'm trying to do:
Table: Codes
user_id day_of_week id
------------------------------
1 T 1
1 W 2
1 W 3
2 F 4
2 F 5
2 M 6
And I am trying to find a command to output to get this:
Table: Codes
user_id day_of_week count(*)
-------------------------------------
1 T 1
1 W 2
2 F 2
2 M 1
So as you can see, it's grouping by the day of the week and the user_id Can someone help me achieve this with MySQL?
You can use multiple columns in GROUP BY clause:
SELECT user_id, day_of_week, COUNT(*) AS cnt
FROM Codes
GROUP BY user_id, day_of_week
I have a query like below, it is working fine but not optimized, since it takes 1.5 sec to run. How to make this to an optimized result?
select h.keyword_id,
( select count(DISTINCT(user_id)) from history where category_id = 6
and h.keyword_id=keyword_id group by keyword_id ) as cat_6,
( select count(DISTINCT(user_id)) from history where category_id = 7
and h.keyword_id = keyword_id group by keyword_id ) as cat_7
from
history h group by h.keyword_id
History table
his_id keyword_id category_id user_id
1 1 6 12
2 1 6 12
3 1 7 12
4 1 7 12
5 2 6 13
6 2 6 13
7 2 7 13
8 3 6 13
Result:
keyword_id cat_6 cat_7
1 2 2 (unique users)
2 2 1
3 1 0
You can rewrite your query like this:
select h.keyword_id,
count(distinct if(category_id = 6, user_id, null)) as cat_6,
count(distinct if(category_id = 7, user_id, null)) as cat_7
from
history h
group by h.keyword_id
Your desired result based on the sample data is by the way false. In each keyword_id there's always just one distinct user_id.
you can see the query in action in an sqlfiddle here
For more optimization, you'd have to post the result of show create table history and the output of explain <your_query>;
I have read the different answers here on SO, but I am stuck on this question. Please help.
I have this mysql view named "activeuser":
userid COUNT(*) ACRONYM
1 23 admin
2 2 doe
3 4 tompa
12 4 Marre
13 1 Mia
1 2 admin
3 1 tompa
12 1 Marre
13 1 Mia
2 1 doe
3 1 tompa
12 1 Marre
How can I sum the COUNT column so that I get the following wanted result?
userid COUNT(*) ACRONYM
1 25 admin
2 3 doe
3 6 tompa
12 6 Marre
13 1 Mia
EDITED:
I used this query to create the view:
CREATE VIEW activeuser AS
(SELECT boats_comments.userid, COUNT(boats_comments.userid), boats_user.acronym, boats_user.email
FROM boats_comments
INNER JOIN boats_user
ON boats_comments.userid = boats_user.id
GROUP BY boats_comments.userid
ORDER BY COUNT(boats_comments.userid) DESC)
UNION ALL
(SELECT boats_answers.userid, COUNT(boats_answers.userid), boats_user.acronym, boats_user.email
FROM boats_answers
INNER JOIN boats_user
ON boats_answers.userid = boats_user.id
GROUP BY boats_answers.userid
ORDER BY COUNT(boats_answers.userid) DESC)
UNION ALL
(SELECT boats_questions.userid, COUNT(boats_questions.userid), boats_user.acronym, boats_user.email
FROM boats_questions
INNER JOIN boats_user
ON boats_questions.userid = boats_user.id
GROUP BY boats_questions.userid
ORDER BY COUNT(boats_questions.userid) DESC)
My goal is to see which users are the most active by checking the number of comments, questions and answers... but I got stuck...
As the results in your view has duplicates I guess the underlying code for the view is grouping on something it maybe shouldn't be grouping on.
You can get the results you want by applying SUM to it:
select userid, sum("whatever column2 is named") as "Count", Acronym
from activeuser group by userid, Acronym;
select userid, count(*) from activeuser group by userid;