lets say that i have table like this
ITEMNAME JANUARY FEBRUARY
Table 20 100
Chair 30 50
and i want to show it like this
ITEMNAME JANUARY FEBRUARY SUM
Table 20 100 120
Chair 30 50 80
the question is how to show that table with query?
You can do it like this
SELECT item, january, february, (january+february) AS sum
FROM table
It hasn't been tested yet, but I think it works
Related
I have one SQL table called Employee_invoice
JobSite
Name
InvocieDate
InvoiceAmount
Crew_size
J003297
David
3/1/2022
1600
10
J003297
Jhon
5/1/2022
2000
20
J102899
Andy
12/1/2022
4000
30
J003297
Olive
22/1/2022
2000
45
J003297
David
3/2/2022
0
0
J003297
Jhon
5/2/2022
0
0
J102899
Andy
12/2/2022
0
0
J003297
Olive
22/2/2022
0
0
So I want to update InvoiceAmount, Crew_size column of next month i.e. February based Previous month i.e. January month. The join condition will be matched on JobSite and Name column.
I want a stored procedure for this, which will run 1st day of every month and update multiple columns. (#Tabletype)
The result table should look like this:
Could you help me out with an issue I have in Oracle?
Let's say I have a table that tells me about how many items were sold in each month, and looks like so:
Item
January
February
March
April
Computer
3
5
2
9
TV
10
12
16
14
Camera
22
25
20
27
What I need in the output is a table that would count the total number of items sold over the period, and would look like this:
Item
January
February
March
April
Total
Computer
3
5
2
9
19
TV
10
12
16
14
52
Camera
22
25
20
27
94
I am honestly not sure how to do that. Should I use grouping()?
Thank you in advance.
You don't need to use grouping at all just try to plus all columns as a new column Total.
SELECT T.*,
(January + February + March + April) Total
FROM T
Good morning, I've searched in the forum one doubt that I have but the results that I've seen didn't give me a solution.
I have two tables.
CARS:
Id Model
1 Seat
2 Audi
3 Mercedes
4 Ford
BREAKDOWNS:
IdBd Description Date Price IdCar
1 Engine 01/01/2020 500 € 3
2 Battery 05/01/2020 0 € 1
3 Wheel's change 10/02/2020 110,25 € 4
4 Electronic system 15/03/2020 100 € 2
5 Brake failure 20/05/2020 0 € 4
6 Engine 25/05/2020 400 € 1
I wanna make a query that shows the number of breakdowns by month with 0€ of cost.
I have this query:
SELECT Year(breakdowns.[Date]) AS YEAR, StrConv(MonthName(Month(breakdowns.[Date])),3) AS MONTH, Count(*) AS [BREAKDOWNS]
FROM cars LEFT JOIN breakdowns ON (cars.Id = breakdowns.IdCar AND breakdowns.[Price]=0)
GROUP BY breakdowns.[Price], Year(breakdowns.[Date]), Month(breakdowns.[Date]), MonthName(Month(breakdowns.[Date]))
HAVING ((Year([breakdowns].[Date]))=[Insert a year:])
ORDER BY Year(breakdowns.[Date]), Month(breakdowns.[Date]);
And the result is (if I put year '2020'):
YEAR MONTH BREAKDOWNS
2020 January 1
2020 May 1
And I want:
YEAR MONTH BREAKDOWNS
2020 January 1
2020 February 0
2020 March 0
2020 May 1
Thanks!
The HAVING condition should be in WHERE (otherwise it changes the Outer to an Inner join). But as long as you don't use columns from cars there's no need to join it.
To get rows for months without a zero price you should switch to conditional aggregation (Access doesn't support Standard SQL CASE, but IIF?).
SELECT Year(breakdowns.[Date]) AS YEAR,
StrConv(MonthName(Month(breakdowns.[Date])),3) AS MONTH,
SUM(CASE WHEN breakdowns.[Price]=0 THEN 1 ELSE 0 END) AS [BREAKDOWNS]
FROM breakdowns
JOIN cars
ON (cars.Id = breakdowns.IdCar)
WHERE ((Year([breakdowns].[Date]))=[Insert a year:])
GROUP BY breakdowns.[Price], Year(breakdowns.[Date]), Month(breakdowns.[Date]), MonthName(Month(breakdowns.[Date]))
ORDER BY Year(breakdowns.[Date]), Month(breakdowns.[Date]
On my dataset I select information from four different years sorted by date and how many subscriptions I had on said date, which looks something like this:
Date Year Subs Day
15/09/2014 2015 57 1
16/09/2014 2015 18 2
17/09/2014 2015 16 3
14/09/2015 2016 10 1
15/09/2015 2016 45 2
16/09/2015 2016 28 3
12/09/2016 2017 32 1
13/09/2016 2017 11 2
14/09/2016 2017 68 3
24/08/2017 2018 23 1
25/08/2017 2018 53 2
26/08/2017 2018 13 3
What I'm trying to do is create an 'Year' Column Group to align them horizontally, but when I do that, this is the result:
result
Expected result:
expected result
Is this achievable in SSRS? I've tried removing the group =(Details), which gives me the desired result, except it only returns one line of information.
Any insight aprreciated.
By default, the Details group causes you to get one row per row in the dataset. In your case, I would suggest grouping the Rows by the Day column and create a column group by Year.
First, create the two groups and add columns inside the column group.
Then, add a row outside and above the Day row group. Place the headings here and then delete the top row. It should look like this:
Now these 4 columns will repeat to the right for each year and you will get rows based on the number of days in your dataset.
First, sorry for my bad English. I'm trying to normalize a table in a pension system where subscribers are paid monthly. I need to know who has been paid and who has not and how much they've been paid. I believe I'm using SQL Server. Here's an example:
id_subscriber id_receipt year month pay_value payment type_pay
12 1 2016 January 100 80 1
13 1 2016 January 100 100 1
14 1 2016 January 100 100 1
12 2 2016 February 100 100 2
13 2 2016 February 100 80 1
But I'm not happy repeating the year and the month for every single subscriber. It doesn't seem right. Is there a better way to store this data?
EDIT:
The case is as follows: this company has many subscribers who must pay monthly and payment can be in various ways. They produce a single receipt for many customers, and each customer that receipt may be paying one or more installments.
These are my other tables:
tbl_subscriber
id_suscriber(PK) first_name last_name address tel_1 tel_2
12 Juan Perez xxx xxx xxx
13 Pedro Lainez xxx xxx xxx
14 Maria Lopez xxx xxx xxx
tbl_receipt
id_receipt(PK) value elaboration_date deposit_date
1 1,000.00 2015-09-16 2015-09-20
2 890.00 2015-12-01 2015-12-18
tbl_type_paym
id type description
1 bank xxxx
2 ventanilla xxx
This basically seems fine. You could split dates out into a separate table and reference that, but that strikes me as a kind of silly way to do it. I would recommend storing the month as an integer instead of a varchar column though. Besides not storing the same string over and over you can more reasonably do comparisons.
You could also use date values, although that might not be worth the trouble when you don't want greater granularity than the month.