Im not even sure what the title of this question should be but lets start out with my data.
I have a table of users who have taken a few lessons while belonging to a particular training center.
lesson table
id | lesson_id | user_id | has_completed
----------------------------------------
1 | asdf3314 | 2 | 1
2 | d13saf12 | 2 | 1
3 | a33adff5 | 2 | 0
4 | a33adff5 | 1 | 1
5 | d13saf12 | 1 | 0
user table
id | center_id | ...
----------------------------------------
1 | 20 | ...
2 | 30 | ...
training center table
id | center_name | ...
----------------------------------------
20 | learn.co | ...
30 | teach.co | ...
I've written a small chunk but am now stuck as I don't know how to proceed. This statement gets the counted total of completed lessons per user. it then figures the average completed value from a center id. if two users belong to a center and have completed 3 lessons and 2 lessons it finds the average of 3 and 2 then returns that.
SELECT
FLOOR(AVG(a.total)) AS avg_completion,
FROM
(SELECT
user_id,
user.center_id,
count(user_id) AS total
FROM lesson
LEFT JOIN user ON user.id = user_id
WHERE is_completed = 1 AND center_id = 2
GROUP BY user_id) AS a;
The question I have is how do I loop through the training centers table and also append average data from similar select statement as above to each center that is queried. I cant seem to pass the center id down to the subquery so there must be a fundamentally different way to achieve the same query but also loop through training centers.
An example of desired result:
center.id | avg_completion | ...training center table
-----------------------------------------------------
20 | 2 | ...
Your main query needs to select a.center_id and then use GROUP BY center_id. You can then join it with the training_center table.
SELECT c.*, x.avg_completion
FROM training_center AS c
JOIN (
SELECT
a.center_id,
FLOOR(AVG(a.total)) AS avg_completion
FROM (
SELECT
user_id
user.center_id,
count(*) AS total
FROM lesson
JOIN user ON user.id = user_id
WHERE is_completed = 1 AND center_id = 2
GROUP BY user_id) AS a
GROUP BY a.center_id) AS x
ON x.center_id = c.id
If I understand correctly:
select u.center_id, count(*) as num_users,
sum(l.has_completed) as num_completed,
avg(l.has_completed) as completed_ratio
from lesson l join
user u
on l.user_id = u.id
group by u.center_id
Related
I am trying to do a very complex query (at least extremely complex for me not for YOU :) )
I have users and comments table.
SQL Fiddle: http://sqlfiddle.com/#!9/b1f845/2
select user_id, status_id from comments where user_id in (2,3);
+---------+-----------+
| user_id | status_id |
+---------+-----------+
| 2 | 10 |
| 2 | 10 |
| 2 | 10 |
| 2 | 7 |
| 2 | 7 |
| 2 | 10 |
| 3 | 9 |
| 2 | 9 |
| 2 | 6 |
+---------+-----------+
If I use
select user_id, status_id from comments where user_id in (2,3)
It returns a lot of duplicate values.
What I want to get if possible.
If you see status_id = 10 has user_id= 2,3 and 4 and 2 multiple times.
So from here I want to get maximum of latest user_id (unique) so for example,
it will be user_id = 4 and 2 now the main complex part. I now want to get users information of user_id= 4 and 2 in one column so that at the end I can get something like this
status_id | userOneUserName | userTwoUserName
10 sadek4 iamsadek2
---------------------------------------------
7 | iamsadek2 | null
---------------------------------------------
9 . | iamsadek2 | sadek2
---------------------------------------------
6 | iamsadek2 | null
How can I achieve such a complex things.
Currently I have to do it using application logic.
Thank you for your time.
I think this might be what you literally want here:
SELECT DISTINCT
status_id,
(SELECT MAX(user_id) FROM comments c2 WHERE c1.status_id = c2.status_id) user_1,
(SELECT user_id FROM comments c2 WHERE c1.status_id = c2.status_id
ORDER BY user_id LIMIT 1 OFFSET 1) user_2
FROM comments c1
WHERE user_id IN (2,3);
Demo (your update Fiddle)
We can use correlated subqueries to find the max user_id and second-to-max user_id for each status_id, and then spin each of those out as two separate columns. Using a GROUP_CONCAT approach might be preferable here, since it would also allow you to easily accommodate any numbers of users as a CSV list.
Also, if you were using MySQL 8+ or greater, then we could take advantage of the rank analytic functions, which would also be easier.
select status_id, GROUP_CONCAT(distinct(user_id) SEPARATOR ',')
from comments
group by status_id
I would suggest using GROUP BY and GROUP_CONCAT, e.g. like so:
SELECT status_id, GROUP_CONCAT(userName) AS users, GROUP_CONCAT(DISTINCT c.user_id) AS user_ids
FROM (
SELECT DISTINCT status_id, user_id FROM comments WHERE user_id in (2,3)
) c
JOIN users u ON (c.user_id = u.id)
GROUP BY status_id
ORDER BY status_id DESC
I've this table called Runks (a Runk is basically like a challenge in this game that I'm making).
Every game can hold 4 users. Thus per round 4 Runks will be created. 1 round will last 24 hours.
At the end of the round the status of these Runks changes.
However I am running into a problem. If one or more of the users neglected to upload Runk in the meantime I need to create an empty Runk for them in the database.
This query:
SELECT runk_group_id, COUNT(runk_id)
FROM runks
WHERE runk_status = 'ACTIVE'
GROUP BY runk_group_id
Would output this:
This should then result in a next query creating 5 Runks.
1 Runk needs to be created for group_id 32
1 Runk needs to be created for group_id 35
3 Runks need to be created for group_id 44
Also one thing that needs to be taken into is the fact that I need new Runks created with the player ids that have not yet uploaded a Runk.
So if for group 32 player 1, 2 & 3 have already uploaded a Runk... the Runk that will need to be created needs to belong to player 4.
This is what my table looks like:
For the sake of an answer, here is a simplified example (apologies for the terrible naming...):
CREATE TABLE users (
user_id int,
);
INSERT INTO users (1), (2), (3);
CREATE TABLE users_list (
user_id int
);
INSERT INTO users_list values (1), (1), (1), (3);
-- SELECT as shown
SELECT user_id, count(user_id)
FROM users_list
GROUP BY user_id;
+---------+----------------+
| user_id | count(user_id) |
+---------+----------------+
| 1 | 3 |
| 3 | 1 |
+---------+----------------+
-- Incorrect, count includes all an entry even if the left join has nulls
SELECT u.user_id, count(u.user_id)
FROM users u
LEFT JOIN users_list ul ON u.user_id = ul.user_id
GROUP BY u.user_id;
# Gives - WRONG
+---------+------------------+
| user_id | count(u.user_id) |
+---------+------------------+
| 1 | 3 |
| 2 | 1 |
| 3 | 1 |
+---------+------------------+
-- Doesn't include the nulls in the count so we ge the correct answer
SELECT u.user_id, count(ul.user_id)
FROM users u
LEFT JOIN users_list ul ON u.user_id = ul.user_id
GROUP BY u.user_id;
+---------+-------------------+
| user_id | count(ul.user_id) |
+---------+-------------------+
| 2 | 0 |
| 1 | 3 |
| 3 | 1 |
+---------+-------------------+
I have the following (simplified) three tables:
user_reservations:
id | user_id |
1 | 3 |
1 | 3 |
user_kar:
id | user_id | szak_id |
1 | 3 | 1 |
2 | 3 | 2 |
szak:
id | name |
1 | A |
2 | B |
Now I would like to count the reservations of the user by the 'szak' name, but I want to have every user counted only for one szak. In this case, user_id has 2 'szak', and if I write a query something like:
SELECT sz.name, COUNT(*) FROM user_reservations r
LEFT JOIN user_kar k ON k.user_id = r.user_id
LEFT JOIN szak s ON r.szak_id = r.id
It will return two rows:
A | 2 |
B | 2 |
However I want to every reservation counted to only one szak (lets say the highest id only). I tried MAX(k.id) with HAVING, but seems uneffective.
I would like to know if there is a supported method for that in MySQL, or should I first pick all the user ID-s on the backend site first, check their maximum kar.user_id, and then count only with those, removing them from the id list, when the given szak is counted, and then build the data back together on the backend side?
Thanks for the help - I was googling around for like 2 hours, but so far, I found no solution, so maybe you could help me.
Something like this?
SELECT sz.name,
Count(*)
FROM (SELECT r.user_id,
Ifnull(Max(k.szak_id), -1) AS max_szak_id
FROM user_reservations r
LEFT OUTER JOIN user_kar k
ON k.user_id = r.user_id
GROUP BY r.user_id) t
LEFT OUTER JOIN szak sz
ON sz.id = t.max_szak_id
GROUP BY sz.name;
I have 2 tables that look like this:
users (uid, name)
-------------------
| 1 | User 1 |
| 2 | User 2 |
| 3 | User 3 |
| 4 | User 4 |
| 5 | User 5 |
-------------------
highscores (user_id, time)
-------------------
| 3 | 12005 |
| 3 | 29505 |
| 3 | 17505 |
| 5 | 19505 |
-------------------
I want to query only for users that have a highscore and only the top highscore of each user. The result should look like:
------------------------
| User 3 | 29505 |
| User 5 | 19505 |
------------------------
My query looks like this:
SELECT user.name, highscores.time
FROM user
INNER JOIN highscores ON user.uid = highscores.user_id
ORDER BY time ASC
LIMIT 0 , 10
Actually this returns multiple highscores of the same user. I also tried to group them but it did not work since it did not return the best result but a random one (eg: for user id 3 it returned 17505 instead of 29505).
Many thanks!
You should use the aggregated function MAX() together with group by clause.
SELECT a.name, MAX(b.`time`) maxTime
FROM users a
INNER JOIN highscores b
on a.uid = b.user_id
GROUP BY a.name
SQLFiddle Demo
Your effort of grouping users was correct. You just needed to use MAX(time) aggregate function instead of selecting only time.
I think you wrote older query was like this:
SELECT name, time
FROM users
INNER JOIN highscores ON users.uid = highscores.user_id
GROUP BY name,time
But actual query should be:
SELECT user.name, MAX(`time`) AS topScore
FROM users
INNER JOIN highscores ON users.uid = highscores.user_id
GROUP BY user.name
Let's say we have this query
SELECT * FROM table
And this result from it.
id | user_id
------------
1 | 1
------------
2 | 1
------------
3 | 2
------------
4 | 1
How could I get the count of how often a user_id appears as another field (without some major SQL query)
id | user_id | count
--------------------
1 | 1 | 3
--------------------
2 | 1 | 3
--------------------
3 | 2 | 1
--------------------
4 | 1 | 3
We have this value currently in code, but we are implementing sorting to this table and I would like to be able to sort in the SQL query.
BTW if this is not possible without some major trick, we are just going to skip sorting on that field.
You'll just want to add a subquery on the end, I believe:
SELECT
t.id,
t.user_id,
(SELECT COUNT(*) FROM table WHERE user_id = t.user_id) AS `count`
FROM table t;
SELECT o.id, o.user_id, (
SELECT COUNT(id)
FROM table i
WHERE i.user_id = o.user_id
GROUP BY i.user_id
) AS `count`
FROM table o
I suspect this query as not being a performance monster but it should work.