Lets say i have two tables
Table1:
product_id, design1, design2
1 A C
2 B A
Table2:
product_id, value
1 10
2 10
Now i want to to sum all the value for particular design for all products.
SELECT designA, SUM(value) FROM (
SELECT b.design1 AS designA, SUM(value) AS value FROM table2 AS a LEFT JOIN table1 AS b ON a.product_id = b.product_id GROUP BY b.design1) AS T GROUP BY designA
It gives me this:
designA SUM(value)
A 10
B 10
Now the problem is that if user has specified design2 in table1 then what ever is the value of design1 will automatically be added in design2. If design2 is not present design1 column then it will be a new row of result:
Desited result is this:
designA SUM(value)
A 20
B 10
C 10
select y.designA, sum(value) from
(select a.design1 as designA, value from
Table1 as a
inner join Table2 as b
on
a.product_id = b.product_id
union all
select a.design2 as designA, value from
Table1 as a
inner join Table2 as b
on
a.product_id = b.product_id) as y
group by y.designA
seems to work for your test data, not tried on other configurations but you should be able to tweak it, if you understand what it's doing.
UNION in the matches based on design2:
SELECT designA, SUM(value) FROM (
SELECT b.design1 AS designA, SUM(value) AS value FROM table2 AS a LEFT JOIN table1 AS b ON a.product_id = b.product_id GROUP BY b.design1
UNION
SELECT b.design2 AS designA, SUM(value) AS value FROM table2 AS a LEFT JOIN table1 AS b ON a.product_id = b.product_id GROUP BY b.design2
) AS T GROUP BY designA
Related
I am trying to join a table and get a count but I cannot count an ID twice in the table for the count.
Table 1:
ID animal
-- ------
1 dog
2 dog
3 cat
4 cat
5 dog
Table 2:
ID
--
2
2
3
5
5
I need to get a count of how many of each type of animal are in table 2. I can get it to join and change the ID to the type of animal and then get a count of each.
The issue is that each ID can only get counted once. So the expected output would be.
dog:2
cat:1
Where my output is
dog:4
cat:1
Try like below
select t1.animal, count( distinct t2.ID)
from table1 t1 join table2 t2 on t1.ID=t2.ID
group by t1.animal
You can try below using count distinct id
select b.animal,count(distinct a.id) from table2 a
inner join table1 b on a.id=b.id
group by b.animal
Try this:
SELECT t1.animal AS "Animal", COUNT(DISTINCT t1.ID) AS "No. of Animals"
FROM TABLE2 t2, TABLE1 t1
WHERE t2.ID = t1.ID
GROUP BY t1.animal
You can Try Nested Selects here.
SELECT
t.animal,
COUNT(t.ID) AS Count
FROM
(SELECT DISTINCT a.animal, b.ID FROM table1 a INNER JOIN table2 b ON a.ID = b.ID)t
GROUP BY t.animal
this is tested image
I have 2 tables
table 1
id product
1 P1
2 P2
table 2
id amount product_t1
1 100 P1
2 200 P1
3 300 P2
4 400 P1
5 500 P2
I want my output to be:
product totalAmount(sum of amount)
P1 700
P2 800
EDIT: Here is my query so far
SELECT T1.product, SUM(T2.amount)
FROM table1 T1
INNER JOIN table2 T2
ON T1.product = T2.product_t1
Thanks!
you should use group by
SELECT T1.product, SUM(T2.amount)
FROM table1 T1
INNER JOIN table2 T2
ON T1.product = T2.product_t1
GROUP BY product
Since you're not using foreign keys you don't even need the table 1 for the desired result.
SELECT
product_t1 AS product,
SUM(amount) AS totalAmount
FROM table2
GROUP BY product_t1
What you're missing is the GROUP BY statement in order to get a separate row for each individual product
SELECT T1.product, SUM(T2.amount)
FROM table1 T1
INNER JOIN table2 T2
ON T1.product = T2.product_t1
GROUP BY product T1.product
Use the GROUP BY tag . Group by helps to group your result via value of product
Try to play with GROUP BY and AS
SELECT product_t1 as product, SUM(amount) AS totalAmount FROM table2
GROUP BY product
https://dev.mysql.com/doc/refman/5.7/en/group-by-modifiers.html
OR add to your code group by
SELECT T1.product, SUM(T2.amount)
FROM table1 T1
INNER JOIN table2 T2 ONT1.product = T2.product_t1
Gruop by T1.product
How can I check how many products added by a,b,c,d respectively by using a query?
table1
admin_id admin_name
3 a
4 b
5 c
6 d
table2
admin_id products
3 pDeal
3 pSeal
4 pAeal
5 pZeal
6 pXeal
3 pHeal
6 pPeal
You need a simple JOIN and a COUNT query:
SELECT table1.admin_name, COUNT(*) as cnt
FROM
table1 INNER JOIN table2
ON table1.admin_id = table2.admin_id
GROUP BY
table1.admin_name
Try this...
SELECT a.admin_name, COUNT(b.products) as 'CountOfProducts'
FROM table1 a INNER JOIN table2 b ON a.admin_id = b.admin_id
GROUP BY a.admin_name
Use this
SELECT adm.admin_name,COUNT(pdr.products) as ProductCnt
FROM table1 AS adm
JOIN table2 AS pdr
ON adm.admin_id = pdr.admin_id
GROUP BY adm.admin_id;
SELECT t1.admin_name, COUNT(t2.products)
FROM table1 AS t1 LEFT JOIN table2 AS t2 ON t1.admin_id = t2.admin_id
WHERE 1
GROUP BY t2.admin_id
The LEFT JOIN will ensure the cases when table2 doesn't have any record for some admin of table 1.
You can use an inner-select like this:
SELECT
table1.admin_name,
(SELECT COUNT(*)
FROM table2
WHERE table1.admin_id = table2.admin_id) As cnt
FROM
table1;
Example:
SELECT SUM(SALARY) FROM (SELECT * FROM table1 WHERE id > 10) a LEFT JOIN table2 b on a.person = b.person
I want join table2 records only to (SELECT * FROM table1 WHERE id > 10) records, my example is not correct.
table1 contain 100mln records and I cant join table2 to all records I must use subquery
I'm assuming, you salary is not summing up correctly (you are getting more than you expect). This is because LEFT JOIN will leave NULL for the rowsthat doesn't have match in b.
For this SQL:
SELECT a.*, b.*
FROM (select * from (SELECT 123 AS Salary,
'Tom' AS person
UNION
SELECT 343 AS Salary,
'Bob' AS person
UNION
SELECT 877 AS Salary,
'Tom' AS person) as t where t.Salary > 123) a
LEFT JOIN (SELECT *
FROM (SELECT 'Tom' AS person,
1 AS id
UNION
SELECT 'Bob' AS person,
2 AS id) AS t
WHERE t.id = 1) AS b
ON a.person = b.person
you will have this output:
So INNER JOIN should work for you.
SELECT SUM(SALARY) FROM (SELECT * FROM table1 WHERE id > 10) a
LEFT JOIN table2 b on a.person = b.person
Hopefully this will get you going in the correct direction....
select sum(a.salary)
from table1 a
left join table2 b on a.person = b.person and b.salary_type = "something"
where a.id > 10
;
Table column headers: n,t1,t2
entries :
1 A B
2 A C
3 B C
4 D E
5 B A
How do I count total number of rows each letter appears in t1 MINUS the number of rows they appear in t2 ? I need to do something like following 2 lines in 1 query :
select count(*) as val,t1 from table group by t1
select count(*) as val,t2 from table group by t2
Thanks,
Martin
Here is one way:
select t1, max(t1cnt) - max(t2cnt) as diff
from ((select t1, count(*) as t1cnt, 0 as t2cnt
from t
group by t1
) union all
(select t2, 0 as t1cnt, count(*) as t2cnt
from t
group by t2
)
) t
group by t1
Using the union all ensures that you get all possible values from both columns, even values that only appear in one column.
You can use the following query to get the result. This query first gets a list of all the distinct t1 and t2 values (this is the UNION query). Once you have the list of these values, then you can use a LEFT JOIN to the original queries that you posted:
select d.col, coalesce(totT1, 0) - coalesce(totT2, 0) Total
from
(
select t1 col
from entries
union
select t2 col
from entries
) d
left join
(
select count(*) totT1, t1
from entries
group by t1
) d1
on d.col = d1.t1
left join
(
select count(*) totT2, t2
from entries
group by t2
) d2
on d.col = d2.t2;
See SQL Fiddle with Demo