This question already has answers here:
How can I do a FULL OUTER JOIN in MySQL?
(15 answers)
Closed 2 years ago.
I have two table that I want to combine without FULL OUTER JOIN as it not work in h2 db. I have to create select sql query:I have tried much with UNION too but I think it will not be possible with UNION.
Table 1
id c_id s_id p_date
---------------------------------------------
1 1 1 2020-10-10
2 1 1 2020-10-11
3 2 1 2020-10-11
4 2 2 2020-10-12
Table 2
id c_id s_id s_date
---------------------------------------------
1 1 1 2020-10-15
2 1 2 2020-10-16
3 2 2 2020-10-17
4 2 2 2020-10-17
I am expecting below result:
c_id s_id p_date s_date
-------------------------------------------------
1 1 2020-10-10 2020-10-15
1 1 2020-10-11 -
1 2 - 2020-10-16
2 1 2020-10-11 -
2 2 2020-10-12 2020-10-17
2 2 - 2020-10-17
Please help to get this result.
You can use union all like this:
select t1.c_id, t1.s_id, t1.p_date, t2.s_date
from table1 t1 left join
table2 t2
on t1.c_id = t2.c_id and t1.s_id = t2.s_id
union all
select t2.c_id, t2.s_id, t1.p_date, t2.s_date
from table2 t2 left join
table1 t1
on t1.c_id = t2.c_id and t1.s_id = t2.s_id
where t1.c_id is null;
The first subquery gets all the rows where there are matches between the two tables plus rows where table2 has no match for table1.
The second subquery gets the additional rows from table2 that have no match in table1.
Here is a db<>fiddle.
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 have this table:
ID STUDENT CLASS QUESTION ANSWER TIME
1 1 1 1 c 12:30
2 1 1 1 d 12:36
3 1 1 2 a 12:38
4 2 1 1 b 11:24
5 2 1 1 c 11:26
6 2 1 3 d 11:35
7 2 3 3 b 11:24
I'm trying to write a query that does this:
For each STUDENT in a specific CLASS select the most recent ANSWER for each QUESTION.
So, choosing class "1" would return:
ID STUDENT CLASS QUESTION ANSWER TIME
2 1 1 1 d 12:36
3 1 1 2 a 12:38
5 2 1 1 c 11:26
6 2 1 3 d 11:35
I've tried various combinations of subqueries, joins, and grouping, but nothing is working. Any ideas?
You can use a sub-query to get most recent ANSWER per QUESTION, Then use this as a derived table and join back to the original table:
SELECT m.*
FROM mytable AS m
INNER JOIN (
SELECT STUDENT, QUESTION, MAX(`TIME`) AS mTime
FROM mytable
WHERE CLASS = 1
GROUP BY STUDENT, QUESTION
) AS d ON m.STUDENT = d.STUDENT AND m.QUESTION = d.QUESTION AND m.`TIME` = d.mTime
WHERE m.CLASS = 1
Demo here
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.
This question already has answers here:
Select the 2 latest “group/batch” records from table [closed]
(2 answers)
Closed 8 years ago.
I have data like in this mysql table:
id customer_id int_proc
1 A 1
2 A 4
3 A 5
4 A 5
5 A 5
6 A 5
7 B 6
8 B 7
9 B 9
10 B 9
10 B 9
11 C 22
I want to get all data from the latest 2 int_proc values where the customer_id is A and B.
My result should be like this:
id customer_id int_proc
2 A 4
3 A 5
4 A 5
5 A 5
6 A 5
8 B 7
9 B 9
10 B 9
Any help is greatly appreciated.
SELECT t.ID
,t.Customer_id
,t.Int_Proc
FROM TestTable t
LEFT JOIN ( SELECT Customer_Id , MIN(Int_Proc) as Int_Proc
FROM TestTable
GROUP BY Customer_Id )r
ON t.customer_id = r.customer_id
AND t.int_proc = r.int_proc
WHERE r.customer_id IS NULL AND r.int_proc IS NULL
SQL FIDDLE