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This is my tables description :
Ticket
Id int pk
ShowTicketStateID_FK int
TicketStateID_FK int
TicketState
Id int
Name int
Actually, the TicketState has two foreign keys to Tickettable.
Here is some rows from Ticket table :
1 1 1
2 2 1
3 1 2
...
And here is rows for TicketState
1 'sold'
2 'reserved'
Now i want this Result set :
1 sold sold
2 reserved sold
3 sold reserved
How should I select rows from ticket table with both states name?
SELECT T.ID, S1.Name AS ShowState, S2.Name AS TicketState
FROM Ticket AS T
JOIN TicketState AS S1 ON T1.ShowTicketStateID = S1.ID
JOIN TicketState AS S2 ON T1.TicketStateID = S2.ID
The key concept is using the two different table aliases for the TicketState table in a single query. The table has to be scanned twice (speaking loosely), once for the ShowTicketStateID lookup and once for the TicketStateID lookup.
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I have data of the following form:
ID
Category
Amount
1
A
100
1
B
200
1
B
150
1
C
500
2
B
20
3
A
100
1
B
100
I wish to GROUP BY the column ID, find out the DISTINCT types of Category present for each ID group and create a new column where I can create the following classification labels for each grouped ID based on the unique or distinct categories present and also calculate the corresponding sum of amount for each grouped ID. So the output should be the follows:
ID
Classification
Sum of Amount
1
ALL
950
1
B only
20
1
A and B only
200
I tried the following SQL code but it doesn't work, most likely because DISTINCT() command within a CASE WHEN statement cannot consider multiple values.
My query:
SELECT
ID,
(CASE WHEN DISTINCT(CATEGORY) IN ("A") then "A Only" WHEN WHEN DISTINCT(CATEGORY) IN ("B") THEN "B only"..........)
SUM(AMOUNT)
FROM Table
GROUP BY 1,2
I have tried multiple ways of using the DISTINCT statement with CASE WHEN but none of them works.
Hmmm . . . How about this?
select id,
(case when min(category) = max(category)
then min(category) || ' only'
when count(distinct category) = 3
then 'All'
when min(category) is NULL
then 'None'
else min(category) || ' and ' || max(category)
end)
from t
group by id;
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Please find below Tables.
How to show all departments where in March 2014 there were sales of goods with a price of less than 400?
CREATE TABLE dep
(
id NUMBER (10) NOT NULL,
city VARCHAR2 (100) NOT NULL,
name VARCHAR2 (100) NOT NULL,
CONSTRAINT dep_pk PRIMARY KEY (id)
);
I guess you need below query -
SELECT D.name, SUM(cost)
FROM sales S
JOIN dep D ON S.dep_id = D.id
WHERE EXTRACT(YEAR FROM time) = 2014
AND EXTRACT(MONTH FROM time) = 3
GROUP BY D.name
HAVING SUM(cost) < 400
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I have a table with column name "Val" which contains following values:
Val
1
2
3
4
My desired output is as follows:
1 1
2 1
2 2
3 1
3 2
3 3
4 1
4 2
4 3
4 4
Thanks!
Ajaysharma2061
You can do this with a self join:
select t.val, t2.val
from t join
t t2
on t2.val <= t.val
order by t.val;
You can join the table on itself as if its a two different tables using the SQL join keyword. Following your attached image your SQL query is expected to be like this
SELECT t.Val, c.Val
FROM Table t, Table c
WHERE t.id <= c.id
Here is a link on
tutorial point
that can help you as well
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Is it possible to create a totalprice column in a table which gets its answer from multiplying 2 values from 2 different tables?
e.g
orderquantity
order_id | product_code | quantity
ordertotalprice
order_id | customer_id | totalprice
products
product_Code | product_name | product_desc | productcost
I want the totalprice column to be = productcost*quantity
To query the totals per order:
SELECT orderquantity.order_id,
SUM(products.productcost * orderquantity.quantity) AS total
FROM orderquantity
INNER JOIN products ON products.product_code = orderquantity.product_code
GROUP BY orderquantity.order_id
Wrap this query in an UPDATE statement to update column totalprice in table ordertotalprice:
UPDATE ordertotalprice
SET totalprice = grouped.total
FROM (
SELECT orderquantity.order_id,
SUM(products.productcost * orderquantity.quantity) AS total
FROM orderquantity
INNER JOIN products ON products.product_code = orderquantity.product_code
GROUP BY orderquantity.order_id
) AS grouped
WHERE ordertotalprice.order_id = grouped.order_id
I am assuming here table ordertotalprice already contains the necessary records. If that is not the case, then you will need an INSERT statement instead of an UPDATE. But then I wonder where to get the customer_id from.
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TableA TableB
Id Name Id Role
1 abc 1 Test
2 xyz
3 zxc
I want output as all Ids from table A which are not present in table B
O/p
Id Name
2 xyz
3 zxc
You could use the not in operator:
SELECT *
FROM TableA
WHERE id NOT IN (SELECT id FROM TableB)
Try this:
SELECT * FROM TABLE_1 WHERE (Id,Name ) NOT IN (SELECT Id,Name FROM TABLE_2)
Edit (after question was formatted properly):
SELECT * FROM TABLE_1 WHERE Id NOT IN (SELECT Id FROM TABLE_2)