I have following tables:
t1 - Items
| Id | Item |
| 1 | I1 |
| 2 | I2 |
t2 - Item_elements
| Id | Item_id | Element | Our_quantity | Client_quantity |
| 1 | 1 | E11 | 100 | 0 |
| 2 | 1 | E12 | 20 | 300 |
| 3 | 2 | E21 | 300 | 100 |
| 4 | 2 | E22 | 5 | 300 |
t3 - Element_operations
| Id | Element_id | Operations_number |
| 1 | 1 | 100 |
| 2 | 1 | 50 |
| 3 | 2 | 50 |
| 4 | 2 | 50 |
| 5 | 3 | 50 |
| 6 | 3 | 50 |
| 7 | 3 | 50 |
| 8 | 3 | 50 |
| 9 | 4 | 10 |
I need SQL query which return table witch items (t1) AND element row associated with item table which has minimum operations number
Desired Output:
Table should look like
| Id|Item| Id_el |Our_quantity| Client_quantity | Count Operations_number|
| 1| I1 | 2 | 20 | 300 | 100 |
| 2| I2 | 4 | 5 | 300 | 10 |
result
I tried that query
SELECT t2.Id,Item_id,Our_Quantity,Client_Quantity,SUM(Operations_number)
FROM t2 LEFT JOIN t3 ON t2.Id=t3.Id_el GROUP BY t2.Id)
Tried Result:
| Id | Item_id | Our_quantity | Client_quantity |SUM(Operations_number)
| 1 | 1 | 100 | 0 | 150
| 2 | 1 | 20 | 300 | 100
| 3 | 2 | 300 | 100 | 200
| 4 | 2 | 5 | 300 | 10
What should I do next?
Now I have 2 table:
| Element Id | Item_id |Sum operations_number for element |
| 1 | 1 | 150 |
| 2 | 1 | 100 |
| 3 | 2 | 200 |
| 4 | 2 | 10 |
| Item Id | Item |
| 1 | I1 |
| 2 | I2 |
How can I join them to get this table?
Item Element who has minimal sum operations number.
| Item Id | Item | Element_Id | Sum operations_number for element |
| 1 | I1 | 2 | 100 |
| 2 | I2 | 4 | 10 |
You could get desired output using this..
SELECT
t.*,
MIN(t.opsum) AS `Count Operations_number`
FROM
(SELECT
a.*,
b.Id AS `Id_el`,
b.`Our_quantity`,
b.`Client_quantity`,
SUM(c.`Operations_number`) AS opsum
FROM
`t1` AS a
LEFT JOIN `t2` AS b
ON a.`Id` = b.`Item_id`
LEFT JOIN `t3` AS c
ON b.`Id` = c.`Element_id`
GROUP BY a.Id,
b.Id
ORDER BY a.`Id` ASC,
opsum ASC) AS t
GROUP BY t.Id ;
FIDDLE HERE
Maybe if you use the MIN() method in the desired column, as example:
SQL
SELECT t2.Id,Item_id, MIN(Our_Quantity), Client_Quantity, SUM(Operations_number)
FROM t2 LEFT JOIN t3
ON t2.Id=t3.Id_el
GROUP BY t2.Id
You may try this..
For mysql 8+
with cte as (
SELECT t1.id as Item_id, t1.item, t2.id as Ele_Id, t2.Element , t2.Our_quantity , t2.Client_quantity , t3.Operations_number
from Items as t1
inner join Item_elements as t2 on t1.id=t2.Item_id
inner join Item_elements as t3 on t2.id = t3.Element_id
)
, ct as (
select row_number() over ( partition by t1.id order by t2.Our_quantity ) as Slno, * from cte
)
select c.item_id, c.item, c.Ele_id, c.Element, c.our_quantity, c.client_quantity, t.Count_Operations_number
from ct as c
inner join
(
select distinct Element_id , sum(Operation_number) as Count_Operations_number
from Element_operations group by Element_id
) as t
on c.Ele_id=t.Element_id
where c.slno=1
Try the below query, hope this is what you are asking
select t1.Id as 'Id',t1.Item as 'Item',
t.Id as 'Id_el', t.Our_quantity as 'Our_quantity',t.Client_quantity as 'Client_quantity',
sum(t3.Operations_number) as 'Count Operations_number'
from t1 join (select *
from t2 where (Item_id,Our_quantity) in
( select Item_id, min(Our_quantity) from t2 group by Item_id)) t on t1.Id=t.Item_id
join t3 on t.Id=t3.Element_id
group by t1.Id;
Do you want it in the minimum order of SUM(Operations_number)?
Try this
I have updated the answer so this will get the first table also.
SELECT t1.id,
t1.item,
id_el,
our_quantity,
client_quantity,
sum
FROM t1
JOIN (SELECT t2.id AS Id_el,
t2.item_id,
t2.our_quantity AS our_quantity,
t2.client_quantity AS client_quantity,
sum
FROM t2
JOIN (SELECT t3.element_id,
Sum(operations_number) AS sum
FROM t3
GROUP BY element_id) AS b
ON t2.id = b.element_id) AS c
ON t1.id = c.item_id
ORDER BY sum ASC
Output would be:
Related
I got 3 tables
| ID | Name |
|:---- |:------:|
| 1 | Brie |
| 2 | Ray |
| 3 | James |
Table2
| ID | Q_id | Q_no | ans |
|:---- |:------:| -----:|----:|
| 1 | 2304. | 1 | A |
| 1 | 2304. | 2 | A |
| 1 | 2305. | 1 | C |
| 2 | 2304. | 2 | A |
| 2 | 2305. | 1 | C |
| 3 | 2304. | 1 | A |
| 3 | 2305. | 2 | D |
Table3
| Q_id | Q_no | correct_ans |
|:------:| -----:|------------:|
| 2304. | 1 | A |
| 2304. | 2 | B |
| 2305. | 1 | C |
| 2305. | 2 | D |
I need to print a table with ID, name and count of ans in table 2 where ans matches with correct answer from table 3
| ID | Name | ans_count |
|:---- |:------:| ----------:|
| 1 | Brie | 2 |
| 2 | Ray | 1 |
| 3 | James | 2 |
Select t1.ID, Name, count(t2.ans) as ans_count
from Table1 t1
join Table2 t2 on t1.ID=t2.ID
join Table3 t3 on t2.Q_id=t3.Q_id
where t2.ans=t3.correct.ans and t2.q_no=t3.q_no
group by t1.ID
order by t1.ID
Where am I doing it wrong? Sorry I am new to SQL.
You should always link the tables, with all colums that match
AND the GROUP By should contain all columns that have no aggregation function
SELECT t1.ID,t1.`Name`,COUNT(*) as correct_answers
FROM table1 t1
JOIN table2 t2 ON t1.ID = t2.ID
JOIN table3 t3 ON t2.`Q_id` = t3.`Q_id` AND t2.`Q_no` = t3.`Q_no`
WHERE t3.`correct_ans` = t2.`ans`
GROUP BY t1.ID,t1.`Name`
order by t1.ID
ID
Name
correct_answers
1
Brie
2
2
Ray
1
3
James
2
fiddle
Its still not clear what you are after, but this corrects the obvious issue with the query.
Select t1.ID, Name, count(*) as ans_count
from Table1 t1
join Table2 t2 on t1.ID=t2.ID
join Table3 t3 on t2.Q_id=t3.Q_id
where t2.ans=t3.correct.ans
group by t1.ID, t1.Name ///<---------------
order by t1.ID
I think you need to group by Id and Name
On table1
+-------+-------+
| unid1 | unid2 |
+-------+-------+
| 1 | 1 |
| 2 | 2 |
| 3 | 3 |
+-------+-------+
On table 2
+---------+-------+-------+------+
| tableid | unid1 | unid2 | type |
+---------+-------+-------+------+
| 1 | 1 | 1 | 1 |
| 2 | 2 | 2 | 1 |
| 3 | 3 | 3 | 1 |
| 4 | 3 | 0 | 2 |
| 5 | 3 | 0 | 2 |
| 6 | 4 | 4 | 3 |
| 7 | 5 | 5 | 3 |
+---------+-------+-------+------+
Expected result.
+-------+-------+------+
| unid1 | unid2 | type |
+-------+-------+------+
| 1 | 1 | 1 |
| 2 | 2 | 1 |
| 3 | 3 | 1 |
| 3 | 0 | 2 |
| 3 | 0 | 2 |
+-------+-------+------+
My SQL code
select t1.*, t2.* from table1 t1
left join table2 t2 on t1.unid1 = t2.unid1 and t1.unid2 = t2.unid2 and
t2.type in (1 , 2);
My SQL query does not give the result that i wanted, how can i get the result that i want.
Your expected output implies that you want to retain all rows in table2 whose unid1 values can be found in table1. If so, then we can just inner join these two tables on the unid1 column. This assumes that unid1 is unique in table1.
SELECT t2.unid1, t2.unid2, t2.type
FROM table2 t2
INNER JOIN table1 t1
ON t2.unid1 = t1.unid1;
If I understand you correctly, you want to output values wherein the rows from Table1 matches on Table2 in both columns unid1 and unid2 and that the type must be contained with your desired values.
SELECT b.unid1, b.unid2, b.type
FROM table1 a
INNER JOIN table2 b
ON a.unid1 = b.unid1
WHERE EXISTS
(
SELECT 1
FROM Table1 t1
INNER JOIN Table2 t2
ON t1.unid1 = t2.unid1
AND t1.unid2 = t2.unid2
WHERE t2.type in (1,2)
AND a.unid1 = t1.unid1
)
Here's a DEMO.
I have two tables. One table is with master data
Table tbl1:
+-------------+------------+------------+
| ID | Name | Total |
+-------------+------------+------------+
| 1 | a | 10 |
| 2 | b | 5 |
| 3 | c | 4 |
| 4 | a | 4 |
+-------------+------------+------------+
Second table tbl2 contains child data. The key between tables is ID
Table tbl2:
+-------------+------------+
|id | qty |
+-------------+------------+
| 1 | 4 |
| 1 | 3 |
| 1 | 1 |
| 3 | 1 |
| 3 | 3 |
+-------------+------------+
I need to get output like this:
Output:
+-------------+------------+------------+
| name | sum_tot | sum_qty |
+-------------+------------+------------+
| a | 14 | 8 |
| b | 5 | 0 |
| c | 4 | 4 |
+-------------+------------+------------+
I had tried with this:
select tbl1.name, SUM(tbl1.total), SUM(tbl2.qty)
from tbl1
left join tbl2 ON tbl1.id = tbl2.id
GROUP by tbl1.name
The output that I get is:
Output:
+-------------+------------+------------+
| name | sum_tot | sum_qty |
+-------------+------------+------------+
| a | 34 | 8 |
| b | 5 |null |
| c | 8 | 4 |
+-------------+------------+------------+
Which is not correct.
Here is the sql fiddle:
The summary from first table is not in relation with second table. It seems that somehow query runs three times.
You can simply have a correlated sub-query that calculates the tbl2 sum:
select tbl1.name,
SUM(tbl1.total),
SUM(COALESCE((select SUM(tbl2.qty)
from tbl2
where tbl1.id = tbl2.id), 0)) as qty_tot
from tbl1
GROUP by tbl1.name
SELECT A.name, SUM(A.total) as sum_tot, COALESCE(B.sum_qty, 0) as sum_qty
FROM tbl1 A
LEFT JOIN (
SELECT id, SUM(qty) as sum_qty
FROM tbl2
GROUP BY id
) B ON B.id = A.id
GROUP BY A.name
select tbl1.name, SUM(tbl1.total), SUM(COALESCE(tbl2.qty, 0))
from tbl1
left join tbl2 ON tbl1.id = tbl2.id
GROUP by tbl1.name
I'm working with a select in two different tables that should be match by group reference id, like:
Table 1 and table 2:
+-----+-----+------------+ +-----+------+
| gid | tid | created | | gid | nid |
+-----+-----+------------+ +-----+------+
| 0 | 816 | 1480002041 | | 0 | 1123 |
| 1 | 731 | 1480003932 | | 0 | 1124 |
| 1 | 736 | 1480003932 | | 1 | 1125 |
| 2 | 746 | 1480003932 | | 1 | 1126 |
+-----+-----+------------+ | 1 | 1123 |
| 2 | 1124 |
| 1 | 1129 |
+-----+------+
I need to get nid values from table 2 that have a exactly group match with the group on table 1. The reference to search in table 1 is tid.
I believe that the SQL would be something like that:
SELECT t1.nid
FROM table1 t1
INNER JOIN
(
SELECT gid
FROM table2
WHERE tid IN (731, 736, 746, 751)
GROUP BY gid
HAVING COUNT(DISTINCT tid) = 4
) t2 ON t1.gid = t2.gid;
But how can I get the exactly count to replace hard coded number 4?
SELECT t2.nid
FROM table1 t1
INNER JOIN
table2 t2
ON t1.gid = t2.gid;
WHERE t2.tid IN (731, 736, 746, 751)
GROUP BY t2.gid
If I make a selection from my MySQL table like:
SELECT * FROM mytable ORDER BY country_id, category
I get the following table:
+------------+----------+-------+
| country_id | category | order |
+------------+----------+-------+
| 1 | A | 0 |
| 1 | B | 0 |
| 1 | F | 0 |
| 3 | A | 0 |
| 3 | C | 0 |
| 5 | B | 0 |
| 5 | L | 0 |
| 5 | P | 0 |
+------------+----------+-------+
What I would like to do is update the order column so that the value of that column is the order of that row for it's country_id. In other words the final table should look like this:
+------------+----------+-------+
| country_id | category | order |
+------------+----------+-------+
| 1 | A | 1 |
| 1 | B | 2 |
| 1 | F | 3 |
| 3 | A | 1 |
| 3 | C | 2 |
| 5 | B | 1 |
| 5 | L | 2 |
| 5 | P | 3 |
+------------+----------+-------+
If I use the original query given at the top in a subquery, that would give me the correct order but I can't figure out how to iterate through the table and suspect I thinking about it wrongly.
How can I get this result?
Many thanks
Try to use this query -
UPDATE mytable t1
JOIN (
SELECT t1.country_id, t1.category, COUNT(*) `order`
FROM mytable t1
LEFT JOIN mytable t2
ON t2.country_id = t1.country_id AND t2.category <= t1.category
GROUP BY
t1.country_id, t1.category
) t2
ON t1.country_id = t2.country_id AND t1.category = t2.category
SET t1.`order` = t2.`order`
As an aside note, you can remove order field from the table because this can calculated this on the fly.