I've got my MySQL query below:
select * from messages
where id in (select max(id) from messages group by Name)
Why does this query not work?:
select * from messages
where id in (select max(id) from messages where field <> 'value' group by Name)
It would be helpful to know what you mean by "doesn't work" - for example, whether you get an error or whether it produces unexpected results. However, going by your comment, and assuming you define "last item sales" by the maximum ID per user, I would recommend JOINing your table to a subquery that selects the maximum ID per user. For example, given the sample sales data set mentioned in your comment, you could write a query like so:
select s.*
from sales s
join (
select user_name, max(id) as max_id
from sales
where sale_item <> 'Ship'
group by user_name
) q
on q.user_name = s.user_name
and q.max_id = s.id
I have created a SQL Fiddle demonstrating the output of the query.
Related
Objective:
I wanted to show the number of distinct IDs for any combination selected.
In the below example, I have data at a granular level: ID level data.
I wanted to show the number of distinct IDs for each combination.
For this, I use count distinct which will give me '1' for the below combinations.
But let's say if I wanted to find the number of IDs who made both E-commerce and Face to face transactions, in that case, if I just use this data, I would be showing the sum of E-comm and Face to face and the result would be '2' instead of '1'.
And this is not limited to Ecom/Face to face. I wanted to apply the same logic for all columns.
Please let me know if you have any other alternative approach to address this issue.
First aggregate in your table to get the distinct ids for each TranType:
SELECT TranType, COUNT(DISTINCT id) counter_distinct
FROM tablename
GROUP BY TranType
and then join to the table:
SELECT t.*, g.counter_distinct
FROM tablename t
INNER JOIN (
SELECT TranType, COUNT(DISTINCT id) counter_distinct
FROM tablename
GROUP BY TranType
) g ON g.TranType = t.TranType
Or use a correlated subquery:
SELECT t1.*,
(SELECT COUNT(DISTINCT t2.id) FROM tablename t2 WHERE t2.TranType = t1.TranType) counter_distinct
FROM tablename t1
But let's say if I wanted to find the number of IDs who made both E-commerce and Face to face transactions, in
You can get the list of ids using:
select id
from t
where tran_type in ('Ecomm', 'Face to face')
group by id
having count(distinct tran_type) = 2;
You can get the count using a subquery:
select count(*)
from (select id
from t
where tran_type in ('Ecomm', 'Face to face')
group by id
having count(distinct tran_type) = 2
) i;
i am using MySql workbench 5.7 to run this.
i am trying to get the result of this query:
SELECT COUNT(Users) FROM UserList.custumers;
and this query:
SELECT Users FROM UserList.custumers;
at the same table, meaning i want a list of users in one column and the amount of total users in the other column.
when i tries this:
SELECT Users , COUNT(Users) FROM UserList.custumers;
i get a single row with the right count but only the first user in my list....
You can either use a cross join since you know the count query will result in one row... whose value you want repeated on every row.
SELECt users, userCount
FROM userlist.custumers
CROSS JOIN (Select count(*) UserCount from userlist.custumers)
Or you can run a count in the select.... I prefer the first as the count only has to be done once.
SELECT users, (SELECT count(*) cnt FROM userlist.custumers) as userCount
FROM userlist.custumers
Or in a environment supporting window functions (not mySQL) you could count(*) over (partition by 1) as userCount
The reason you're getting one row is due to mySQL's extension of the GROUP BY which will pick a single value from non-aggregated columns to display when you use aggregation without a group by clause. If you add a group by to your select, you will not get the count of all users. Thus the need for the inline select or the cross join.
Consider: -- 1 record not all users
SELECT Users , COUNT(Users) FROM UserList.custumers;
vs --all users wrong count
SELECT Users , COUNT(Users) FROM UserList.custumers group by users;
vs -- what I believe you're after
SELECT Users, x.usercount FROM UserList.custumers
CROSS JOIN (Select count(*) UserCount from userlist.custumers) x
Use a subquery in SELECT.
Select Users,
(SELECT COUNT(Users) FROM UserList.custumers) as total
FROM UserList.custumers;
I have a MySQL table where I have a certain id as a foreign key coming from another table. This id is not unique to this table so I can have many records holding the same id.
I need to find out which ids are seen the least amount of times in this table and pull up a list containing them.
For example, if I have 5 records with id=1, 3 records with id=2 and 3 records with id=3, I want to pull up only ids 2 & 3. However, the data in the table changes quite often so I don't know what that minimum value is going to be at any given moment. The task is quite trivial if I use two queries but I'm trying to do it with just one. Here's what I have:
SELECT id
FROM table
GROUP BY id
HAVING COUNT(*) = MIN(SELECT COUNT(*) FROM table GROUP BY id)
If I substitute COUNT(*) = 3, then the results come up but using the query above gives me an error that MIN is not used properly. Any tips?
I would try with:
SELECT id
FROM table
GROUP BY id
HAVING COUNT(*) = (SELECT COUNT(*) FROM table GROUP BY id ORDER BY COUNT(*) LIMIT 1);
This gets the minimum selecting the first row from the set of counts in ascendent order.
You need a double select in the having clause:
SELECT id
FROM table
GROUP BY id
HAVING COUNT(*) = (SELECT MIN(cnt) FROM (SELECT COUNT(*) as cnt FROM table GROUP BY id) t);
The MIN() aggregate function is suposed to take a column, not a query. So, I see two ways to solve this:
To properly write the subquery, or
To use temp variables
First alternative:
select id
from yourTable
group by id
having count(id) = (
select min(c) from (
select count(*) as c from yourTable group by id
) as a
)
Second alternative:
set #minCount = (
select min(c) from (
select count(*) as c from yourTable group by id
) as a
);
select id
from yourTable
group by id
having count(*) = #minCount;
You need to GROUP BY to produce a set of grouped values and additional select to get the MIN value from that group, only then you can match it against having
SELECT * FROM table GROUP BY id
HAVING COUNT(*) =
(SELECT MIN(X.CNT) AS M FROM(SELECT COUNT(*) CNT FROM table GROUP BY id) AS X)
The first select is
select user_id, count(*) as count
from users
where referrer IS NOT NULL
group by referrer
order by count DESC
Then based off the records returned by that query I need to get the date for the user who referred the users in the above query.
select user_id from users where token = IDS_FROM_LAST_QUERY
I know I could use a sub query and say where IN (subquery) but I'm getting tripped up trying to keep the count from the subquery.
So in the end I need the following info
user_id, count
select o.user_id user_id, count(*) count
from users o
join users i on o.token = i.user_id
where i.referrer is not null
group by referrer
order by count desc
I would use a CTE (common table expression). CTE is super handy to look to get one population and then query the same or slightly different population from the CTE.
WITH Referrer (user_id, count) AS
(
select user_id, count(*) as count
from users
where referrer IS NOT NULL
group by referrer
order by count DESC
)
select
users.user_id
,Referrer.count
from users
inner join Referrer.user_id = users.user_id
I need help returning a relevant result for this query. I have one table that I am hitting with three columns. trans_date, trans_amount and user_id
what I am trying to determine is this. For a given user_id when was the last trans_date and what was the trans_amount.
I'm having trouble returning the correct transaction_amount. Here is my code so far. It's returning the correct date but the amount is not right
select user_id, trans_date, trans_credit
from table
WHERE trans_credit =
(select max(trans_date) from inclick_account_act as f
where f.user_id = table.user_id);
Thanks in advance
If I understand you correctly you just want to get the most recent transaction for all users.
SELECT user_id, trans_date, trans_credit
FROM `table`
GROUP BY user_id
ORDER BY trans_date DESC;
How about something like
SELECT t.*
FROM table t INNER JOIN
(
SELECT user_id,
MAX(trans_date) max_trans_date
FROM table
GROUP BY user_id
) MaxDates ON t.user_id = MaxDates.max_trans_date