I have two tables - users and login_reports.
users table have 4 columns - id, email, name, password, created_at, updated_at
login_reports table have 3 columns - id, user_id, created_at.
Every time user logins, an entry is created in login_reports.
Now I have to write a query to show login reports on admin dashoard.
The query should return rows of users having login count and last login.
Can someone help me with this.
SELECT users.id AS id, count(users.id) FROM users
INNER JOIN login_reports
ON users.id = login_reports.user_id
GROUP BY users.id
How do I get last login timestamp i.e. the last entry of that user in login_reports (created_at).
I think you want something like this
select u.id, count(r.id), max(r.created_at)
from user u
left join login_reports r on r.user_id = u.id
group by u.id
edit: thanks #tcadidot0
I used following query to solve this
SELECT users.id as id, count(login_reports.id) as login_count, login_reports.created_at as last_login FROM users LEFT JOIN (SELECT * FROM login_reports ORDER BY created_at DESC) login_reports ON users.id = login_reports.user_id
Related
There are three tables, I would like to get the count of a user's total tweets and the count of likes his total tweets received.
I tried to combine two queries to get what I want but failed. Have looked through several previous questions but still can't figure it out.
Users table
id
name
1
User1
Tweets table
id
UserId (foreign key)
content
1
User1
hello
Likes table
id
UserId (foreign key)
TweetId (foreign key)
1
User1
hello
First query:
SELECT Users.name, Users.id, COUNT(Tweets.UserId) AS UserTweetCount FROM Users
LEFT JOIN Tweets
ON Users.id = Tweets.UserId
GROUP BY Users.id
ORDER BY UserTweetCount DESC;
Second query:
SELECT Users.name, Users.id, COUNT(Likes.UserId) AS UserTweetBeLikedCount FROM Users
LEFT JOIN Likes
ON Users.id = Likes.UserId
GROUP BY Users.id;
I tried like below but would get wrong UserTweetBeLikedCount counts. The counts would be UserTweetCount's, not UserTweetBeLikedCount's. When I ran two queries separately, it worked well. But when I combined them together, it didn't work right.
Don't know how to display the right counts. Can someone give me hints to solve this, please?
SELECT Users.name, Users.id,
COUNT(Tweets.UserId) AS UserTweetCount, COUNT(Likes.UserId) AS UserTweetBeLikedCount
FROM Users
LEFT JOIN Tweets
ON Users.id = Tweets.UserId
LEFT JOIN Likes
ON Users.id = Likes.UserId
GROUP BY Users.id
ORDER BY UserTweetCount DESC;
I recommend using correlated subqueries for this:
SELECT u.*,
(SELECT COUNT(*)
FROM Tweets t
WHERE u.id = t.UserId
) AS UserTweetCount,
(SELECT COUNT(*)
FROM Likes l
WHERE u.id = l.UserId
) AS UserLikeCount
FROM Users u
ORDER BY UserTweetCount DESC;
As a note: For performance, you want indexes on Tweets(UserId) and Likes(UserId).
I have the following scenario:
Table: users : user_id, username ,...
Table: login: user_id, login_date, ...
Table: point: user_id, points, point_time
Joins will be on the basis of users.user_id with other tables.
Now, I want to get count of all the logins as well as sum of all the points earned by the user.
Now, when I do:
select users.user_id,count(*) from users
inner join login on users.user_id=login.user_id
group by users.user_id
It returns count as 36(for example).
Whenever I run:
select users.user_id,count(*),sum(points) from users
inner join point on users.user_id=point.user_id
group by users.user_id
It returns sum as 400(for example) and count as 2.
But if I combine both the queries:
select users.user_id,count(*),sum(points) from users
inner join login on users.user_id=login.user_id
inner join point on users.user_id=point.user_id
group by users.user_id
It returns count as 72 (36 * 2) and sum as 800 (400 *2).
Twice because of multiple userIds present.
I tried several things like combining with distincts but nothing seems to work. Please help.Better if it's possible with joins alone. Thanks in advance. I am using mysql with Php.
You can sum the points in a subquery and select distinct logins in the count
select users.user_id,l.login,p.points from users
inner join (select user_id, count(1) login from login
group by login) as l on users.user_id=login.user_id
inner join (select user_id, sum(point) as point
from point group by user_id ) as p on users.user_id=point.user_id
You should be able to do your count by joining in your login table and then including a subquery to get your count of points:
select users.user_id, count(*) as login_count,
(select sum(points) from point
where point.user_id = users.user_id) as points_sum
from users
inner join login on users.user_id=login.user_id
group by users.user_id
I am trying to return a list of users and their last login date. I need to get something that doesn't effect my outter order by statement because its dynamically populated by parameters the users chooses to sort the list. The other thing is the table that stores the login times requires 2 fields to link to the user table a user_id and a user_type.
table_admin
field: id, name
table_logs
field: id, user_id, user_type, login_date
*table_admin.id = table_logs.user_id
table_logs.user_type needs to be "admin"*
I need to pull all the admin users from table_admin with their last login date (it also needs to work if there is no record in the log table), the user_type in the log table would be "admin".
Thank you for your time.
SELECT SQL_CALC_FOUND_ROWS admins.*,ld2.ip,ld2.login_date as last_login
FROM admins
LEFT JOIN (
SELECT * FROM log_logins WHERE user_type = "admin" ORDER BY login_date DESC
) as ld2 ON (ld2.user_id = admins.id)
WHERE 1
GROUP BY user_id
ORDER BY admins.id DESC LIMIT 0,40
This is what I have so far but it doesn't grab results if they do not have an entry in the log table.
This is a join with an aggregation:
select a.name, 'admin' as userType, max(l.login_date) as lastLoginDate
from admin a left outer join
logs l
on a.id = l.id and
l.user_type = 'admin'
group by a.name
I'm trying to get latest created datetime for unique user_id. I've got below query but it does not seem to be working....It does not get the latest created time.
SELECT * FROM `chats`
WHERE receiver_id = 1
GROUP BY user_id
ORDER BY created DESC
Is there a reason why?
UPDATE:
Actually I found my answer myself. Please look below. I had to use INNER JOIN for nested searched and filtered result table then find using where clause of that result then left join on that table to get the data I needed!
SELECT c.*, users.username
FROM chats c
INNER JOIN(
SELECT MAX(created) AS Date, user_id, receiver_id, chat, type, id
FROM chats
WHERE receiver_id = 1
GROUP BY user_id ) cc ON cc.Date = c.created AND cc.user_id = c.user_id
LEFT JOIN users ON users.id = c.user_id
WHERE c.receiver_id = 1
You should use a MAX aggregate function -
SELECT user_id, MAX(created) latest_datetime FROM chats
GROUP BY user_id;
Try this query, it will show all users and latest created datetime.
I have a Users table and a Payments table. I need a query which lists the users who DO NOT have a record in the payments table where the field PaymentCompleted=1.
These are the columns in the tables (simplified):
Users: UserID, UserName
Payments: PaymentID, UserID, PaymentCompleted
The query should select the field UserName.
select distinct UserName
from Users left outer join Payments on Users.UserID = Payments.UserID
where PaymentCompleted is NULL or PaymentCompleted != 1
SELECT UserName
FROM Users u
WHERE NOT EXISTS(Select 1
from Payments p
Where p.UserId = u.UserId
AND p.PaymentCompleted = 1)
select * from t_users T where T.userid not exists (select p.userid from t_payments t where PaymentCompleted=1).
One note: "not in" clauses can be computationally inefficient for large numbers of records. If you start seeing performance issues, you may want to do some refactoring/redesign.