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I have this table with 2 columns of interest: ID, Memo_No plus some other columns.
ID is primary key of int type and auto-increment. Memo_No. is also int.
I need query, such that if memo no. is occuring only once in the table, the ID associated with it have to be selected.Plus, if same Memo has two different ID's, ID which is greater has to be selected.
For example i have table like this:
ID || Memo_No
1 2
2 3
3 4
4 5
5 4
6 6
7 2
From above table, I want to select rows whose ID's are 2,4,5,6,7 .
Thanks.
This is quite easy as an aggregation:
select max(id), memo_no
from t
group by memo_no;
Related
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Let's say i have a table Task_status like below:
id TaskId SubTaskId status
1 1 1 Complete
2 1 2 Complete
3 1 3 Complete
4 2 4 InProgress
5 2 5 Complete
I want to find all the taskId whose all child tasks are Complete. How can I write that query?
Use group by and having to check if the number of rows per task equal the number of rows with Complete status.
select taskId
from tbl
group by taskId
having count(*) = sum(status='Complete')
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I have a table as follows:
name week effort
quentin 1 1
quentin 1 2
quentin 2 1
tracy 1 1
joe 2 2
There will only be a handful of unique names so it doesn't need to be dynamic
And I would like to query it to return something like
week QuentinEffortSum TracyEffortSum JoeEffortSum
1 3 1 0
2 1 0 2
I have tried something along the lines of
SELECT SUM(Effort) AS JoeEffort, Min (Week) AS week FROM [Group$]
WHERE name = "Joe"
GROUP BY week
ORDER By week
which returned:
week JoeEffort
1 3
2 1
and now I need the other columns and imagine in involves joins but am not sure how to complete the task
Please help
Thanks
I think a PIVOT table would work, like so:
SELECT *
FROM (
SELECT
week,name,effort
FROM [Group$]
) as s
PIVOT
(
SUM(effort)
FOR [name] IN ('quentin','joe','tracy')
)AS pvt
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Unfortunately My tables will be poor and I have no idea how to fix that. Essentially I have this table and I want to sum all the values on the right based on one value on the left. This is sample data but it will be 400+ records in the database. So if the numbers on the left are IDs for customers, and the numbers on the right are products purchased, how do I get a summary of products purchased per customer?
1 4
1 2
2 3
3 2
2 4
1 1
3 2
1 3
The final result would need to look like this:
1 10
2 7
3 4
SELECT
user_table.userID,
SUM(user_table.prodcut_purchase)
FROM
user_table
GROUP BY
user_table.userID
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ItemID Quantity CustID
1 1 1000
6 1 1000
7 2 1000
2 12 1001
3 24 1001
4 16 1001
2 1 1002
how should I calculate the quantity based on each custID purchased?
i.e.
CustID Quantity
1000 4
For a particular customer ID you can use
select custid, sum(quantity)
from table_name
where custid=1000
Or for all customer id's you can use
select custid, sum(quantity)
from table_name
group by custid
Fiddle
Seems like a simple SUM:
SELECT CustID,SUM(Quantity) as Quantity
FROM TableName
GROUP BY CustID
You need to learn more about aggregate functions. Read more here.
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I have table of the form:
A 2
A 2
A 2
A 2
A 3
A 4
A 4
A 4
I want output of the form:
A 2 3
A 3 1
A 4 2
What will be the most efficient query for this problem ?
select col1, col2, greatest(count(*) - 1, 1)
from your_table
group by col1, col2