I have 1 table called itemmovement : It has Item Id , Quantity In , Quantity Out , Invoice Id, Date. I need to make in one query to show how many pieces are sold and beside the sold column there will be the current on hand quantity .
itemmovement
Id itemid qtyin qtyout invid purchasereturnid date
1 1 10 2019-01-04
2 2 8 2019-01-06
3 2 2 1 2019-01-08
4 1 3 2 2019-01-12
5 2 1 2019-02-04
6 3 4 2019-03-04
7 1 1 3 2019-04-04
8 1 1 1 2019-04-14
9 3 1 2 2019-04-24
I need the query to show this result
Id itemid Sold Quantity OnHandQty
1 1 4 5
2 2 2 7
3 3 0 3
I'm Trying to use this query but not working
SELECT *
FROM
(SELECT itmv.itemid,
sum(itmv.qtyout)-sum(itmv.qtyin)
FROM itemmovement itmv
WHERE (itmv.systemdate BETWEEN '2019-01-01' AND '2019-06-01')
AND invid>0
GROUP BY itmv.itemid) AS result1,
(SELECT sum(itmv2.qtyin)-sum(itmv2.qtyout)
FROM itemmovement itmv2
WHERE itmv.itemid=itmv2.itemid
GROUP BY itmv2.itemid) AS result2
ORDER BY sum(itmv.qtyin)-sum(itmv.qtyout)
I'm getting :
Unknown column 'itmv.itemid' in 'where clause it for this syntax :
where itmv.itemid = itmv2.itemid
Here's your query.
select itemid
, sum(case when COALESCE(invid,0) > 0 then qtyout else 0 end) as Sold_Qantity
, sum(qtyin)-sum(qtyout) as OnHandQty
from itemmovement
group by itemid
Related
I have a order table with the following information
Order ID, Product ID, Quantity ordered
OID PID Qty
1 10 1
1 20 2
2 10 2
2 40 4
3 50 1
3 20 3
4 30 1
4 90 2
4 90 5
5 10 2
5 20 2
5 70 5
5 60 1
6 80 2
If I run the following query
select `Qty`, count(`Qty`)
from `table`
group by `Qty`
I get the distribution of quantities in the table, which is
Qty count(`Qty`)
1 4
2 6
3 1
4 1
5 2
I want to find the distribution of quantity at order_line_item level too
That is how many orders which have one line item, had items with 1 quantity, 2 quantity and so one, something like
Count(Order_line_item) Qty Count(Qty)
1 2 1
2 1 2
2 2 2
2 3 1
2 4 1
3 1 1
3 2 1
3 5 1
4 1 1
4 2 2
4 5 1
What modification should i make in the above query to achieve this
Try this query
SELECT count_order_line_items, `Qty`, count(*)
FROM (
SELECT count(*) over (partition by `OID`) as count_order_line_items,
`Qty`
FROM Table1
) x
GROUP BY count_order_line_items, `Qty`
Demo: https://dbfiddle.uk/?rdbms=mysql_8.0&fiddle=07dfb27a7d434eca1f0b9641aadd53c8
If your mysql version is less than 8 then try this one
SELECT count_order_line_items, `Qty`, count(*)
FROM Table1 t1
JOIN (
SELECT `OID`, count(*) as count_order_line_items
FROM Table1
GROUP BY `OID`
) t2 ON t1.`OID` = t2.`OID`
GROUP BY count_order_line_items, `Qty`
Demo: https://dbfiddle.uk/?rdbms=mysql_8.0&fiddle=28c291a4693f31029a103f5c41a97d77
I have below customer table with max qty.
I need a unique user who has max qty order by its group id.
Input:
id, customer_id, customer_group_id qty
1 1 3 1
2 1 3 10
3 1 3 5
4 2 2 10
5 2 2 1
6 2 2 2
7 3 1 5
8 3 1 10
9 4 4 1
10 4 4 2
11 4 4 2
Output should be:
id, customer_id, customer_group_id, qty
11 4 4 2
10 4 4 2 - This should be not selected
2 1 3 10
4 2 2 10
8 3 1 10
Query:
SELECT * FROM customer
WHERE qty IN ( SELECT MAX(qty) FROM customer GROUP BY customer_id)
ORDER BY customer_group_id DESC;
I tried above query but seems not working.
Assume I have table count and the column is (nilai, id_courses, id_lecturer)
nilai id_courses id_lecturer
----- ---------- -----------
2 1 1
2 1 1
2 1 1
3 1 1
3 1 1
1 2 1
1 2 1
5 2 1
5 2 1
then I want to create view like this :
nilai id_courses id_lecturer count
----- ---------- ----------- -----
2 1 1 3
3 1 1 2
1 2 1 2
5 2 1 2
how to do that in SQL syntax?
I just know how to count 1 value with this code
SELECT COUNT( nilai ) , id_courses, id_lecturer FROM count where nilai=1
I've read this post but its to complex, so I don't know how it's work
You need to count all distinct entries by grouping them. The query
SELECT nilai, id_courses, id_lecturer, COUNT(*) AS count
FROM count GROUP BY nilai, id_courses, id_lecturer
should exactly return the table you posted.
I need to select user_id & quiz_id, for users which their count of questions in their quiz = sum of correct, this mean they answer 100% correct
answers table:
quiz_id question_id user_id answer_id correct
1 1 1 1 1
1 2 1 6 0
1 3 1 9 1
2 1 2 1 1
2 2 2 5 1
3 4 1 17 1
3 5 1 21 1
3 6 1 25 1
4 1 3 1 1
5 4 4 18 0
6 1 5 1 1
6 2 5 5 1
7 1 3 2 0
7 2 3 7 0
ex 1:
user 1 took "quiz_id" = 1
count of questions in "quiz_id = 1" = 3
sum of correct = 2
so it's not 100%
user_id = 1 in quiz_id = 1 => will not selected
but user_id = 1 will be selected with quiz_id = 3 cause he got 100%
expected results:
quiz_id user_id
2 2
3 1
4 3
6 5
notes:
quiz could be taken with different users with different number of
questions
quiz_id, user_id unique together (user can not take same quiz twice)
thanks,
You should use an aggregate query with HAVING clause:
SELECT quiz_id, user_id
FROM quiz_answer -- or whatever the name is
GROUP BY quiz_id, user_id
HAVING COUNT(question_id) = SUM(correct)
here you must use HAVING instead of WHERE because
The HAVING clause can refer to aggregate functions, which the WHERE
clause cannot
as specified in the docs.
I can't figure out the mysql query to extract the data I want from this table "timeEntry":
hours creationDate userId clientId projectId taskId
20 2012-02-18 1 1 1 1
40 2012-02-18 1 1 1 1
30 2012-02-21 2 1 1 1
20 2012-02-22 2 1 1 2
30 2012-02-22 2 1 1 2
80 2012-02-23 1 2 2 2
10 2012-02-23 3 2 2 2
15 2012-02-23 1 2 2 3
40 2012-02-23 1 2 4 1
And I would like to have this kind of result as another table, or csv/excel file or php array (where totalHours is the sum of the hours for a userId) for a given period of time, let say (between 2012-02-01 and 2012-02-25):
clientId projectId taskId userId totalHours
1 1 1 1 60
2 30
2 2 50
2 2 2 1 80
3 10
3 1 15
4 1 1 40
I guess I have to use multiple group by, I tried something like:
SELECT clientId, projectId, taskId, userId, sum(hours)
FROM `timeEntry`
WHERE date_creation >= "2012-02-01"
AND date_creation <= "2012-02-25"
GROUP BY clientId, projectId, taskId, userId;
But didn't work...
Thanks in advance.
Where needs to go before Group by.
If you want to filter by date before grouping, use the where clause you have but moved before the group by.
If you'd instead like to filter entire groups in or out, use a having:
...
Group by ...
Having max(date) <= someValue and min(date) >= someValue
SELECT clientId, projectId, taskId, userId sum(Hours) total_hours
FROM timeEntry
GROUP BY clientID, ProjectID, TaskID, userID;
You can use [with Rollup][1] to generate sub-aggregrates. if you want
Here is a simple solution. You need to group by all necessary fields
SELECT
t.clientId,
t.projectId,
t.taskId,
t.userId,
SUM(t.hours) AS Total
FROM test AS t
GROUP BY t.creationDate , t.userId , t.clientId , t.projectId , t.taskId
Fiddle Demo
OUTPUT:
clientId projectId taskId userId Total
____________________________________________________________
1 1 1 1 60
1 1 1 2 30
1 1 2 2 50
2 2 2 1 80
2 2 3 1 15
2 4 1 1 40
2 2 2 3 10