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
I am currently in the need to find entrys matching the same pattern in a connection table.
The Table looks like
id job_id data1 ext_id
-- ------ ----- -----
1 15 1 3
2 15 2 7
3 1 1 5
4 1 2 4
5 5 1 3
6 5 2 7
so my basic information is the data of job_id 15
id job_id data1 ext_id
-- ------ ----- -----
1 15 1 3
2 15 2 7
I want to find job_id 5 because the data in ext_id and data1 is the same as in job 15. the data of job_id 1 differs, so I don't want to find that.
Any idea on how to do it?
I believe you want this:
select *
from your_table
group by data1,
ext_id
having count(*) > 1
This post explains it:
How to find duplicates in 2 columns not 1
EDIT
I believe this should return all rows that have mathcing data1 and ext_id values
select * from table t1
INNER JOIN table t2 ON t1.data1=t2.data1 and t1.ext_id=t2.ext_id
I’m trying to figure out how to count the values in more than one column.
It seem the first COUNT I do gives me the correct results but everything I’ve tried to get the second column count gives the wrong result.
For example, with the following two columns,
Q2 Q3
1 1
1 1
2 2
1 1
1 1
5 5
3 5
5 3
4 1
2 2
3 3
3 3
5 5
3 3
2 1
2 1
3 2
4 1
1 1
1 1
2 2
5 5
3 3
2 1
3 3
1 1
2 1
SELECT COUNT(Q2) AS QU2 FROM mytable GROUP BY Q2
QU2 = 7 7 7 2 4
gives me the count for Q2. 7 one’s, 7 two’s and so on...
However, the following gives me an unexpected result.
SELECT COUNT(Q2) AS QU2, COUNT(Q3) AS QU3 FROM mytable GROUP BY Q2, Q3
7 4 3 1 5 1 2 1 3
I think its something with the GROUP BY but I don’t know how to get around it to get the needed result.
So I'm tying to get the result of
QU2 = 7 7 7 2 4
QU3 = 13 4 6 4
Or
QU2 QU3
7 13
7 4
7 6
2 4
4
and so on for QU4 QU5 ... I would appreciate any help.
Thank you
I think that this will get you closest to what you want. You can replace the numbers table with any method that generates the numbers 1 to whatever the max value is in Q2 or Q3.
CREATE TABLE dbo.Numbers (num INT)
INSERT INTO dbo.Numbers (num) VALUES (1), (2), (3), (4), (5)
SELECT
N.num,
SUM(CASE WHEN MT.Q2 = N.num THEN 1 ELSE 0 END) AS QU2,
SUM(CASE WHEN MT.Q3 = N.num THEN 1 ELSE 0 END) AS QU3
FROM
dbo.Numbers N
CROSS JOIN dbo.My_Table MT
GROUP BY
N.num
Adding additional columns (for Q4, etc.) just means adding another SUM(CASE...)
How GROUP BY works?
Let's talk about your first query (I added the column Q2 in the SELECT clause to make its output more clear):
SELECT Q2, COUNT(*) AS QU2
FROM mytable
GROUP BY Q2
First, it gets all the rows matching the WHERE criteria, if a WHERE clause exists. Because your query doesn't have a WHERE clause, all the rows from the table are read.
On the next step the rows read on the previous step are grouped by the expression specified in the GROUP BY clause (let's assume it contains only one expression, as the query above does). Internally, grouping the rows requires sorting them first.
This is how the data is organized on this step. I added horizontal separators between the rows that go in each group to make everything clear:
Q2 Q3
-------
1 1
1 1
1 1
1 1
1 1
1 1
1 1
-------
2 1
2 1
2 1
2 1
2 2
2 2
2 2
-------
3 2
3 3
3 3
3 3
3 3
3 3
3 5
-------
4 1
4 1
-------
5 3
5 5
5 5
5 5
-------
On the next step, from each group it creates a single row that goes to the generated result set.
The query above clearly returns:
Q2 QU2
--------
1 7
2 7
3 7
4 2
5 4
What happens when the GROUP BY clause contains more than one expression?
Let's take your second query (again, I added some columns to show its behaviour):
SELECT Q2, Q3, COUNT(*) AS cnt
FROM mytable
GROUP BY Q2, Q3
It works similar with the previous query but, because the GROUP BY clause contains two expression, each group created for the values of Q2 is split in sub-groups based on the value of Q3. Assuming there is another expression (let' say, Q4) in the GROUP BY clause, each sub-group created for a pair (Q2, Q3) is further divided into sub-groups for all the values of Q4 and so on.
For your table, the groups and sub-groups are as follows:
Q2 Q3
=======
1 1
1 1
1 1
1 1
1 1
1 1
1 1
=======
2 1
2 1
2 1
2 1
---
2 2
2 2
2 2
=======
3 2
---
3 3
3 3
3 3
3 3
3 3
---
3 5
=======
4 1
4 1
=======
5 3
---
5 5
5 5
5 5
=======
I used double lines to separate the groups and smaller single lines to separate the subgroups inside each group.
The output of this query is:
Q2 Q3 cnt
------------
1 1 7
2 1 4
2 2 3
3 2 1
3 3 5
3 5 1
4 1 2
5 3 1
5 5 3
How to get the desired result?
It is not possible to get the result you want using a single query. Even more, the result sets you suggest doesn't make much sense.
You can combine two queries using UNION in order to get the data you need and additional information that helps you know where those numbers come from:
SELECT 'Q2' AS source, Q2 AS q, COUNT(Q2) AS cnt FROM mytable GROUP BY Q2
UNION
SELECT 'Q3' AS source, Q3 AS q, COUNT(Q3) AS cnt FROM mytable GROUP BY Q3
The output is:
source q cnt
----------------
Q2 1 7
Q2 2 7
Q2 3 7
Q2 4 2
Q2 5 4
Q3 1 13
Q3 2 4
Q3 3 6
Q3 5 4
Pretty clear, isn't it? The first 5 rows come from the query GROUP BY Q2 and their value in the column q tells what was the value of Q2 for each group (there are 7 occurrences of 1 in column Q2, 7 of 2, 7 of 3, 2 of 4 and so on). The last 4 rows tell the similar story about Q3 (13 rows have 1 in column Q3 and so on).
Remark
There is a difference between COUNT(*) and COUNT(Q2): COUNT(*) counts the rows from the group, COUNT(Q2) counts the not-NULL values in the column Q2. It doesn't care about duplicate, it only ignore the NULL values. If you want to count the distinct values then you have to add the DISTINCT keyword: COUNT(DISTINCT Q2).
I think you need to unpivot the data. In this case, that just means multiple group by connected by union all:
select 'q2' as which, q2, count(*) as cnt
from mytable
group by q2
union all
select 'q3' as which, q3, count(*) as cnt
from mytable
group by q3;
You can add as many more subqueries as you like.
Note: this puts the values in separate rows, rather than in separate columns.
I reckon Asaph is on the right track , however I would alter this slightly try select distinct count(Q2) as QU2, count(Q3) as QU3 from myTable;
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 have two tables:
id category status
1 test 1
2 test1 1
3 test2 1
This is the group_master table.
groupid groupname groupmaster
1 yy 1
2 xx 1
3 yyyy 1
4 xrx 1
5 yy 2
6 xx 2
7 yyyy 2
8 xfgdrx 3
This is the membergroup table.
The group_master.id is same as in membergroup.groupmaster.That menas i want to get each row from first table and also want to get the count from second table
That means:
id category status Count
1 test 1 4
2 test1 1 3
3 test2 1 1
This is the result i want to get.
How can i do this in Cakephp with pagination ?
try this:
You need to JOIN both tables and do a GROUP BY
SELECT g.id,g.category,g.status,count(*) as Count
FROM group_master g
JOIN membergroup m
ON g.id=m.groupmaster
GROUP BY g.id,g.category,g.status
SQL Fiddle Demo