One table is Users with id and email columns.
Another table is Payments with id, created_at, user_id and foo columns.
User has many Payments.
I need a query that returns each user's email, his last payment date and this last payment's foo value. How do I do that? What I have now is:
SELECT users.email, MAX(payments.created_at), payments.foo
FROM users
JOIN payments ON payments.user_id = users.id
GROUP BY users.id
This is wrong, because foo value does not necessarily belong to user's most recent payment.
Try this :
select users.email,foo,create_at
from users
left join(
select a.* from payments a
inner join (
select id,user_id,max(create_at)
from payments
group by id,user_id
)b on a.id = b.id
) payments on users.id = payments.user_id
If users has no payment yet, then foo and create_at would return NULL. if you want to exclude users who has no payment, then use INNER JOIN.
One approach would be to use a MySQL version of rank over partition and then select only those rows with rank = 1:
select tt.email,tt.created_at,tt.foo from (
select t.*,
case when #cur_id = t.id then #r:=#r+1 else #r:=1 end as rank,
#cur_id := t.id
from (
SELECT users.id,users.email, payments.created_at, payments.foo
FROM users
JOIN payments ON payments.user_id = users.id
order by users.id asc,payments.created_at desc
) t
JOIN (select #cur_id:=-1,#r:=0) r
) tt
where tt.rank =1;
This would save hitting the payments table twice. Could be slower though. Depends on your data!
Related
I am trying to make a query to fetch the newest car for each user:
select * from users
left join
(select cars.* from cars
where cars.userid=users.userid
order by cars.year desc limit 1) as cars
on cars.userid=users.userid
It looks like it says Unknown column "users.userid" in where clause
I tried to remove cars.userid=users.userid part, but then it only fetches 1 newest car, and sticks it on to each user.
Is there any way to accomplish what I'm after? thanks!!
For this purpose, I usually use row_number():
select *
from users u left join
(select c.* , row_number() over (partition by c.userid order by c.year desc) as seqnum
from cars c
) c
on c.userid = u.userid and c.seqnum = 1;
One option is to filter the left join with a subquery:
select * -- better enumerate the columns here
from users u
left join cars c
on c.userid = u.userid
and c.year = (select max(c1.year) from cars c1 where c1.userid = c.userid)
For performance, consider an index on car(userid, year).
Note that this might return multiple cars per user if you have duplicate (userid, year) in cars. It would be better to have a real date rather than just the year.
Maybe there are better and more efficient way to query this. Here is my solution;
select users.userid, cars.*
from users
left join cars on cars.userid = users.userid
join (SELECT userid, MAX(year) AS maxDate
FROM cars
GROUP BY userid) as sub on cars.year = sub.maxDate;
I have two table users and transactions. transactions table has relation with users two table format like below
users
id name email created
1 a a#mail.com 12-03-01
2 b b#mail.com 11-03-01
Transactions
id user_id balance
1 1 250
2 1 550
3 2 50
4 2 1000
I need last inserted users balance from transactions table with all users information. I am new in sql.
So I have tried below code
select * from transactions
where id in (select max(id) from transactions group by user_id)
INNER JOIN users on transactions.user_id=users.id
It's giving me syntax error near inner join.Have I made any mistake in inner join ? or I am in wrong direction ?
If you only want the balance, then a correlated subquery might be faster:
select u.*,
(select t.balance
from transactions t
where t.user_id = u.id
order by t.id desc
limit 1
) as MostRecentBalance
from users u;
For maximum performance, you want an index on transactions(user_id, id desc, balance).
The reason this is faster is because it avoids the aggregation on the entire transactions table. This is even more important if you are only selecting a subset of users.
EDIT:
I originally read this question as one row per user. However, if you only want one row returned -- for the last insert into transactions -- then a simpler method is:
select u.*, t.balance
from users u join
transactions t
on u.id = t.user_id
order by t.id desc
limit 1;
The JOIN should be part of the FROM statement so it should look more like the code below.
select *
from transactions ts
INNER JOIN users
ON (transactions.user_id=users.id)
where ts.id in
(
select max(transactions.id)
from transactions
group by user_id
);
edited to clarify which id is in use as per Gordons suggestion
2 simple methods.
A sub query to get the lastest transaction, and from that all the transaction details and then the user
SELECT users.*
FROM users
INNER JOIN transactions
ON users.id = transactions.user_id
INNER JOIN
(
SELECT MAX(id) AS max_id
FROM transactions
) sub0
ON transactions.id = sub0.max_id
Or you could try ordering by the id descending with a limit of 1:-
SELECT users.*
FROM users
INNER JOIN transactions
ON users.id = transactions.user_id
ORDER BY transactions.id DESC
LIMIT 1
EDIT
To get the last transaction for all users then you could use the following:-
SELECT *
FROM users
INNER JOIN transactions
ON users.id = transactions.user_id
INNER JOIN
(
SELECT user_id, MAX(id) AS max_id
FROM transactions
GROUP BY user_id
) sub0
ON transactions.id = sub0.max_id
ON transactions.user_id = sub0.user_id
There are three tables. user, like, comment. Table like and comment has rows associated to user. I need all users with their associated row count from table like and comment. It's easy to do when there is only one table associated. However, here is my query.
SELECT u.id as id, u.display_name as displayName,
COUNT(x.user_id) as likeCount,
COUNT(y.user_id) as commentCount
FROM `user` u
LEFT JOIN
`like` x ON x.user_id = u.id
LEFT JOIN
`comment` y ON y.user_id = u.id
GROUP BY u.id
Table relationships:
One user has many likes
One user has many comments
commentCount is giving correct rows count, but likeCount giving wrong rows count. Please don't post answer which uses sub queries. I want it with only ONE SELECT clause. I am using MySQL. TIA
You can get the user count per individual table, like this:
SELECT user, COUNT(*) AS t1Count
FROM table1
GROUP BY user;
SELECT user, COUNT(*) AS t2Count
FROM table2
GROUP BY user;
Then you can join those two to the Users table to get the count of each. You should use COALESCE() to return null values with 0:
SELECT u.id, COALESCE(t1.t1Count, 0), COALESCE(t2.t2Count, 0)
FROM users u
LEFT JOIN(
SELECT user, COUNT(*) AS t1Count
FROM table1
GROUP BY user) t1 ON u.id = t1.user
LEFT JOIN(
SELECT user, COUNT(*) AS t2Count
FROM table2
GROUP BY user) t2 ON u.id = t2.user;
Here is an SQL Fiddle example.
I need to count the amount of users that have have answered all of those 3 profile_options (so they have at least 3 records in the profile_answers table).
SELECT COUNT(DISTINCT(users.id)) users_count
FROM users
INNER JOIN profile_answers ON profile_answers.user_id = users.id
WHERE profile_answers.profile_option_id IN (37,86,102)
GROUP BY users.id
HAVING COUNT(DISTINCT(profile_answers.id))>=3
The problem is that this query is return a table with rows for each user and how many they answered (in this case always 3). What I need is to return just one row that has the total number of users (so the sum of all rows of this example)
I know how to do it with another subquery but the problem is that I am running into "Mysql::Error: Too high level of nesting for select"
Is there a way to do this without the extra subquery?
SELECT SUM(sum_sub.users_count) FROM (
(SELECT COUNT(DISTINCT(users.id)) users_count
FROM users
INNER JOIN profile_answers ON profile_answers.user_id = users.id
WHERE profile_answers.profile_option_id IN (37,86,102)
GROUP BY users.id
HAVING COUNT(DISTINCT(profile_answers.id))>=3)
) sum_sub
Please give this query a shoot
SELECT COUNT(DISTINCT(u.id)) AS users_count
FROM users AS u
INNER JOIN (
SELECT user_id, COUNT(DISTINCT profile_option_id) AS total
FROM profile_answers
WHERE profile_option_id IN (37,86,102)
GROUP BY users.id
HAVING COUNT(DISTINCT profile_option_id) = 3
) AS a ON a.user_id = u.id
If you have lots of data in your tables, you will get a better/faster performance by using temporary tables like so
CREATE TEMPORARY TABLE a (KEY(user_id)) ENGINE = MEMORY
SELECT user_id, COUNT(DISTINCT profile_option_id) AS total
FROM profile_answers
WHERE profile_option_id IN (37,86,102)
GROUP BY users.id
HAVING COUNT(DISTINCT profile_option_id) = 3;
Then your final query will look like this
SELECT COUNT(DISTINCT(u.id)) as users_count
FROM a
INNER JOIN on a.user_id = u.id
Unless there is a need to join the users table you can go with this
SELECT COUNT(*) AS users_count
FROM (
SELECT user_id, COUNT(DISTINCT profile_option_id) AS total
FROM profile_answers
WHERE profile_option_id IN (37,86,102)
GROUP BY users.id
HAVING COUNT(DISTINCT profile_option_id) = 3
) AS a
Should you need another solution, please consider providing us you EXPLAIN EXTENDED for the query and the table definitions along with a better problem description.
I hope this helps
You can give the queries a name using the AS clause. See the updated query below.
SELECT SUM(sum_sub.users_count) FROM (
(SELECT COUNT(DISTINCT(users.id)) as users_count
FROM users
INNER JOIN profile_answers ON profile_answers.user_id = users.id
WHERE profile_answers.profile_option_id IN (37,86,102)
GROUP BY users.id
HAVING COUNT(DISTINCT(profile_answers.id))>=3)
) as sum_sub
You should not group by on a field not present in select statement.
select id, count(*) from users group by id is fine
select count(id) from users group by id is NOT
Regarding your query I think the link to user table is not necessary. Just using foreign key should be fine.
Try this one:
select count(*) from
(SELECT users_id count(*) as cnt
FROM profile_answers
INNER JOIN users ON profile_answers.user_id = users.id
WHERE profile_answers.profile_option_id IN (37,86,102)
group by users_id
having count(*) >3)
I have a users table and a payments table, for each user, those of which have payments, may have multiple associated payments in the payments table. I would like to select all users who have payments, but only select their latest payment. I'm trying this SQL but i've never tried nested SQL statements before so I want to know what i'm doing wrong. Appreciate the help
SELECT u.*
FROM users AS u
INNER JOIN (
SELECT p.*
FROM payments AS p
ORDER BY date DESC
LIMIT 1
)
ON p.user_id = u.id
WHERE u.package = 1
You need to have a subquery to get their latest date per user ID.
SELECT u.*, p.*
FROM users u
INNER JOIN payments p
ON u.id = p.user_ID
INNER JOIN
(
SELECT user_ID, MAX(date) maxDate
FROM payments
GROUP BY user_ID
) b ON p.user_ID = b.user_ID AND
p.date = b.maxDate
WHERE u.package = 1
SELECT u.*, p.*
FROM users AS u
INNER JOIN payments AS p ON p.id = (
SELECT id
FROM payments AS p2
WHERE p2.user_id = u.id
ORDER BY date DESC
LIMIT 1
)
Or
SELECT u.*, p.*
FROM users AS u
INNER JOIN payments AS p ON p.user_id = u.id
WHERE NOT EXISTS (
SELECT 1
FROM payments AS p2
WHERE
p2.user_id = p.user_id AND
(p2.date > p.date OR (p2.date = p.date AND p2.id > p.id))
)
These solutions are better than the accepted answer because they work correctly when there are multiple payments with same user and date. You can try on SQL Fiddle.
SELECT u.*, p.*, max(p.date)
FROM payments p
JOIN users u ON u.id=p.user_id AND u.package = 1
GROUP BY u.id
ORDER BY p.date DESC
Check out this sqlfiddle
SELECT u.*
FROM users AS u
INNER JOIN (
SELECT p.*,
#num := if(#id = user_id, #num + 1, 1) as row_number,
#id := user_id as tmp
FROM payments AS p,
(SELECT #num := 0) x,
(SELECT #id := 0) y
ORDER BY p.user_id ASC, date DESC)
ON (p.user_id = u.id) and (p.row_number=1)
WHERE u.package = 1
You can try this:
SELECT u.*, p.*
FROM users AS u LEFT JOIN (
SELECT *, ROW_NUMBER() OVER(PARTITION BY userid ORDER BY [Date] DESC) AS RowNo
FROM payments
) AS p ON u.userid = p.userid AND p.RowNo=1
There are two problems with your query:
Every table and subquery needs a name, so you have to name the subquery INNER JOIN (SELECT ...) AS p ON ....
The subquery as you have it only returns one row period, but you actually want one row for each user. For that you need one query to get the max date and then self-join back to get the whole row.
Assuming there are no ties for payments.date, try:
SELECT u.*, p.*
FROM (
SELECT MAX(p.date) AS date, p.user_id
FROM payments AS p
GROUP BY p.user_id
) AS latestP
INNER JOIN users AS u ON latestP.user_id = u.id
INNER JOIN payments AS p ON p.user_id = u.id AND p.date = latestP.date
WHERE u.package = 1
#John Woo's answer helped me solve a similar problem. I've improved upon his answer by setting the correct ordering as well. This has worked for me:
SELECT a.*, c.*
FROM users a
INNER JOIN payments c
ON a.id = c.user_ID
INNER JOIN (
SELECT user_ID, MAX(date) as maxDate FROM
(
SELECT user_ID, date
FROM payments
ORDER BY date DESC
) d
GROUP BY user_ID
) b ON c.user_ID = b.user_ID AND
c.date = b.maxDate
WHERE a.package = 1
I'm not sure how efficient this is, though.
SELECT U.*, V.* FROM users AS U
INNER JOIN (SELECT *
FROM payments
WHERE id IN (
SELECT MAX(id)
FROM payments
GROUP BY user_id
)) AS V ON U.id = V.user_id
This will get it working
Matei Mihai given a simple and efficient solution but it will not work until put a MAX(date) in SELECT part so this query will become:
SELECT u.*, p.*, max(date)
FROM payments p
JOIN users u ON u.id=p.user_id AND u.package = 1
GROUP BY u.id
And order by will not make any difference in grouping but it can order the final result provided by group by. I tried it and it worked for me.
My answer directly inspired from #valex very usefull, if you need several cols in the ORDER BY clause.
SELECT u.*
FROM users AS u
INNER JOIN (
SELECT p.*,
#num := if(#id = user_id, #num + 1, 1) as row_number,
#id := user_id as tmp
FROM (SELECT * FROM payments ORDER BY p.user_id ASC, date DESC) AS p,
(SELECT #num := 0) x,
(SELECT #id := 0) y
)
ON (p.user_id = u.id) and (p.row_number=1)
WHERE u.package = 1
This is quite simple do The inner join and then group by user_id and use max aggregate function in payment_id assuming your table being user and payment query can be
SELECT user.id, max(payment.id)
FROM user INNER JOIN payment ON (user.id = payment.user_id)
GROUP BY user.id
If you do not have to return the payment from the query you can do this with distinct, like:
SELECT DISTINCT u.*
FROM users AS u
INNER JOIN payments AS p ON p.user_id = u.id
This will return only users which have at least one record associated in payment table (because of inner join), and if user have multiple payments, will be returned only once (because of distinct), but the payment itself won't be returned, if you need the payment to be returned from the query, you can use for example subquery as other proposed.