Here is what I'm trying to do. I have a table with user assessments which may contain duplicate rows. I'm looking to only get DISTINCT values for each user.
In the example of the table below. If only user_id 1 and 50 belongs to the specific location, then only the unique video_id's for each user should be returned as the COUNT. User 1 passed video 1, 2, and 1. So that should only be 2 records, and user 50 passed video 2. So the total for this location would be 3. I think I need to have two DISTINCT's in the query, but am not sure how to do this.
+-----+----------+----------+
| id | video_id | user_id |
+-----+----------+----------+
| 1 | 1 | 1 |
| 2 | 2 | 50 |
| 3 | 1 | 115 |
| 4 | 2 | 25 |
| 5 | 2 | 1 |
| 6 | 6 | 98 |
| 7 | 1 | 1 |
+-----+----------+----------+
This is what my current query looks like.
$stmt2 = $dbConn->prepare("SELECT COUNT(DISTINCT user_assessment.id)
FROM user_assessment
LEFT JOIN user ON user_assessment.user_id = user.id
WHERE user.location = '$location'");
$stmt2->execute();
$stmt2->bind_result($video_count);
$stmt2->fetch();
$stmt2->close();
So my query returns all of the count for that specific location, but it doesn't omit the non-unique results from each specific user.
Hope this makes sense, thanks for the help.
SELECT COUNT(DISTINCT ua.video_id, ua.user_id)
FROM user_assessment ua
INNER JOIN user ON ua.user_id = user.id
WHERE user.location = '$location'
You can write a lot of things inside a COUNT so don't hesitate to put what you exactly want in it. This will give the number of different couple (video_id, user_id), which is what you wanted if I understood correctly.
The query below joins a sub-query that fetches the distinct videos per user. Then, the main query does a sum on those numbers to get the total of videos for the location.
SELECT
SUM(video_count)
FROM
user u
INNER JOIN
( SELECT
ua.user_id,
COUNT(DISTINCT video_id) as video_count
FROM
user_assessment ua
GROUP BY
ua.user_id) uav on uav.user_id = u.user_id
WHERE
u.location = '$location'
Note, that since you already use bindings, you can also pass $location in a bind parameter. I leave this to you, since it's not part of the question. ;-)
Related
So I have a table called the Activities table that contains a schema of user_id, activity
There is a row for each user, activity combo.
Here is a what it might look like (empty rows added to make things easier to look at, please ignore):
| user_id | activity |
|---------|-----------|
| 1 | swimming | -- We want to match this
| 1 | running | -- person's activities
| | |
| 2 | swimming |
| 2 | running |
| 2 | rowing |
| | |
| 3 | swimming |
| | |
| 4 | skydiving |
| 4 | running |
| 4 | swimming |
I would like to basically find all other users with at least the same activities as a given input id so that I could recommend users with similar activities.
so in the table above, if I wanna find recommended users for user_id=1, the query would return user_id=2 and user_id=4 because they engage in both swimming, running (and more), but not user_id=3 because they only engage in swimming
So a result with a single column of:
| user_id |
|---------|
| 2 |
| 4 |
is what I would ideally be looking for
As far as what I've tried, I am kinda stuck at how to get a solid set of user_id=1's activities to match against. Basically I'm looking for something along the lines of:
SELECT user_id from Activities
GROUP BY user_id
HAVING input_user_activities in user_x_activities
where user1_activities is just a set of our input user's activities. I can create that set using a WITH input_user_activities AS (...) in the beginning, what I'm stuck at is the user_x_activities part
Any thoughts?
To get users with the same activities, you can use a self join. Let me assume that the rows are unique:
select a.user_id
from activities a1 join
activities a
on a1.activity = a.activity and
a1.user_id = #user_id
group by a.user_id
having count(*) = (select count(*) from activities a1 where a1.user_id = #user_id);
The having clause answers your question -- of getting users that have the same activities as a given user.
You can easily get all users ordered by similarity using a JOIN (that finds all common rows) and a GROUP BY (to summarize the similarity per user_id) and finally an ORDER BY to return the most similar users first.
SELECT b.user_id, COUNT(*) similarity
FROM activities a
JOIN activities b
ON a.activity = b.activity
WHERE a.user_id = 1 AND b.user_id != 1
GROUP BY b.user_id
ORDER BY COUNT(*) DESC
An SQLfiddle to test with.
This may be simple for some, but I cannot work it out.
I have 3 tables:
Teams, Users, Tags
Teams Users Tags
------------------- ------------------ -----------------------
userID | teamUserID userID | username userID | name | value
------------------- ------------------ -----------------------
1 | 2 1 | dan 2 | myTag | 1
1 | 3 2 | bob 2 | aTag | 2
1 | 4 3 | jon 3 | bTag | 1
4 | rob 4 | cTag | 5
Each team can have a number of users in it, and each user can own a number of tags.
I need a query which will provide a list of users in any given team, with a total number of tags they have.
So when I request results from team 1 (dan's team) it should return this:
-----------------------------------
userID | username | tagTotalValue
-----------------------------------
2 | bob | 3
3 | jon | 1
4 | rob | 5
I have this query so far, but it just gives me one record with an overall total for the whole team, rather than a list of all the users in the team separately with their totals.
SELECT username, SUM(value) tagTotalValue
FROM users u LEFT JOIN tags t
ON u.userID = t.userID
WHERE u.userID IN (SELECT teamUserID FROM teams WHERE userID = 1)
Help!
If anyone can explain a good way of working out how to build these queries, I would be very grateful to learn. Do I just need to do a mySQL course, or is there a simple method I can employ?
I need a query which will provide a list of users in any given team,
with a total number of tags they have.
This seems to have little to do with the query you have written. You should start by joining the three tables together and then aggregating. The query looks something like this:
SELECT t.teamId, u.userId, u.username, count(ta.userId) as numTags
FROM teams t JOIN
users u
ON t.teamUserID = u.UserId LEFT JOIN
tags ta
ON u.userID = ta.userID
WHERE t.teamId = #teamId -- this can be removed
GROUP BY t.teamId, u.userId, u.username;
This query makes the leap that teams has a column that identifies the team -- say teamId.
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
I have the tables:
users
ID | RANK | NAME | EMAIL | PASS
01 | 1 | Foo | foo#bar.com | $06$uhAMXXZowVIDQ.ZR1gky.u3f/UBkLW8Kd8cbyDt2eNx1qnZH2AUmW
allow
ID | RANK | STEP
01 | 1 | 1
02 | 1 | 2
03 | 1 | 3
04 | 2 | 1
05 | 4 | *
And, I need to know all allowed steps from user rank.
My code:
SELECT users.*, allow.step AS allow_step
FROM users AS users LEFT JOIN allow ON users.rank = allow.rank
But only one step are selected.
Thanks for help!
SELECT u.*, GROUP_CONCAT(a.step) allow_step
FROM users u
LEFT JOIN allow a
ON u.rank = a.rank
GROUP BY a.rank_id
This should select a list of steps separated by commas. Something like 1,2,3.
If you need the concatenated values to be ordered, change the first line of the query to:
SELECT u.*, GROUP_CONCAT(a.step ORDER BY a.step) allow_step
The given SQL and data will yield three rows - and would even without the use of a LEFT JOIN (a simple JOIN would suffice).
You don't show or describe how you are running the SQL; do you need to fetch multiple rows in a loop, or use some 'fetch all rows' method?