My SQL is not really good, but I am improving.
I try to extract records from a table with sales data. I want to know how much profit was made by a retailer and its subsidiaries per month.
The retailer_id is build from the root of 5 digits and (if subsidiaries exist) an adjacent _ with two digits. Like so:
without subsidiaries: 30000
with subsidiaries: 30000_01, 30000_02
Code:
SELECT
retailer_id,
MONTH(Date(created_at)) AS month,
SUM(grand_total) AS Totals
FROM
sales_table
GROUP BY
retailer_id, month
As you can imagine, the retailer with subsidiaries are still separated line items.
As requested, I will give an example:
raw data
retailer_id
month
grand total
10006
12
10
10006
9
20
10006
9
40
10006_10
12
40
10015
9
10
10015
11
10
10015
12
5
10015
11
20
expected result:
retailer_id
month
Totals
10006
12
50
10006
9
60
10015
9
10
10015
11
30
10015
12
5
10015
11
20
Thank you for your help!
The answer is 'left'. As in this one:
select
left(retailer_id, 5),
Month(Date(created_at)) AS month,
sum(grand_total) AS Umsatz
FROM sales_order
WHERE store_id = '2' AND NOT status = 'canceled' AND created_at between '2021-09-01' AND '2022-01-27'
GROUP BY left(retailer_id, 5), month
ORDER BY left(retailer_id,5);
Related
I have a table named orders in a Postgres database that looks like this:
customer_id order_id order_date price product
1 2 2021-03-05 15 books
1 13 2022-03-07 3 music
1 14 2022-06-15 900 travel
1 11 2021-11-17 25 books
1 16 2022-08-03 32 books
2 4 2021-04-12 4 music
2 7 2021-06-29 9 music
2 20 2022-11-03 8 music
2 22 2022-11-07 575 travel
2 24 2022-11-20 95 food
3 3 2021-03-17 25 books
3 5 2021-06-01 650 travel
3 17 2022-08-17 1200 travel
3 19 2022-10-02 6 music
3 23 2022-11-08 70 food
4 9 2021-08-20 3200 travel
4 10 2021-10-29 2750 travel
4 15 2022-07-15 1820 travel
4 21 2022-11-05 8000 travel
4 25 2022-11-29 27 books
5 1 2021-01-04 3 music
5 6 2021-06-09 820 travel
5 8 2021-07-30 19 books
5 12 2021-12-10 22 music
5 18 2022-09-19 20 books
Here's a SQL Fiddle: http://sqlfiddle.com/#!17/262fc/1
I'd like to return the average money spent by customers per product, but only consider orders within the first 12 months of a given customer's first purchase within the given product group. (yes, this is challenging!)
For example, for customer 1, order ID 2 and order ID 11 would be factored into the average for books(because order ID 11 took place less than 12 months after customer 1's first order for books, which was order ID 2), but order ID 16 would not be factored into the average (because 8/3/22 is more than 12 months from customer 1's first purchase for books, which took place on 3/5/21).
Here is a matrix showing which orders would be included within a given product (denoted by "yes"):
The desired output would look as follows:
average_spent
books 22.20
music 7.83
travel 1530.71
food 82.50
How would I do this?
Thanks in advance for any assistance you can give!
You can use a subquery to check whether or not to include a product's price in the summation:
select o.product, sum(o.price)/count(*) val from orders o
where o.order_date < (select min(o1.order_date) from orders o1 where
o1.product = o.product and o.user_id = o1.user_id) + interval '12 months'
group by o.product
See fiddle
I need to show the number of valid inspectors we have by month over the last five years. Inspectors are considered valid when the expiration date on their certification has not yet passed, recorded as the month end date. The below SQL code is text of the query to count valid inspectors for January 2017:
SELECT Count(*) AS RecordCount
FROM dbo_Insp_Type
WHERE (dbo_Insp_Type.CERT_EXP_DTE)>=#2/1/2017#);
Rather than designing 60 queries, one for each month, and compiling the results in a final table (or, err, query) are there other methods I can use that call for less manual input?
From this sample:
Id
CERT_EXP_DTE
1
2022-01-15
2
2022-01-23
3
2022-02-01
4
2022-02-03
5
2022-05-01
6
2022-06-06
7
2022-06-07
8
2022-07-21
9
2022-02-20
10
2021-11-05
11
2021-12-01
12
2021-12-24
this single query:
SELECT
Format([CERT_EXP_DTE],"yyyy/mm") AS YearMonth,
Count(*) AS AllInspectors,
Sum(Abs([CERT_EXP_DTE] >= DateSerial(Year([CERT_EXP_DTE]), Month([CERT_EXP_DTE]), 2))) AS ValidInspectors
FROM
dbo_Insp_Type
GROUP BY
Format([CERT_EXP_DTE],"yyyy/mm");
will return:
YearMonth
AllInspectors
ValidInspectors
2021-11
1
1
2021-12
2
1
2022-01
2
2
2022-02
3
2
2022-05
1
0
2022-06
2
2
2022-07
1
1
ID
Cert_Iss_Dte
Cert_Exp_Dte
1
1/15/2020
1/15/2022
2
1/23/2020
1/23/2022
3
2/1/2020
2/1/2022
4
2/3/2020
2/3/2022
5
5/1/2020
5/1/2022
6
6/6/2020
6/6/2022
7
6/7/2020
6/7/2022
8
7/21/2020
7/21/2022
9
2/20/2020
2/20/2022
10
11/5/2021
11/5/2023
11
12/1/2021
12/1/2023
12
12/24/2021
12/24/2023
A UNION query could calculate a record for each of 50 months but since you want 60, UNION is out.
Or a query with 60 calculated fields using IIf() and Count() referencing a textbox on form for start date:
SELECT Count(IIf(CERT_EXP_DTE>=Forms!formname!tbxDate,1,Null)) AS Dt1,
Count(IIf(CERT_EXP_DTE>=DateAdd("m",1,Forms!formname!tbxDate),1,Null) AS Dt2,
...
FROM dbo_Insp_Type
Using the above data, following is output for Feb and Mar 2022. I did a test with Cert_Iss_Dte included in criteria and it did not make a difference for this sample data.
Dt1
Dt2
10
8
Or a report with 60 textboxes and each calls a DCount() expression with criteria same as used in query.
Or a VBA procedure that writes data to a 'temp' table.
I have a table abs_details that give data like follows -
PERSON_NUMBER ABS_DATE ABS_TYPE_NAME ABS_DAYS
1010 01-01-2022 PTO 1
1010 06-01-2022 PTO 0.52
1010 02-02-2022 VACATION 1
1010 03-02-2022 VACATION 0.2
1010 01-12-2021 PTO 1
1010 02-12-2021 sick 1
1010 30-12-2021 sick 1
1010 30-01-2022 SICK 1
I want this data to be displayed in the following way:
PERSON_NUMBER ABS_TYPE_NAME 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
1010 PTO 2 0.52
1010 VACATION 1 0.2
1010 SICK 1 2
For the days, 1-31 should should come in the header, if there is any absence taken on say 01st of the month or quarter passed then the value should go under 1 , if there is no value for date of the month, say no value is there from 07th-11th in the above case, then output should display the numbers but no value should be provided under it.
Is this feasible in SQL? I have an idea we can use pivot, but how to fix 1-31 header and give values underneath each day.
Any suggestions?
If I pass multiple quarter that is Q1(JAN-MAR), Q2(APR-JUN) it should sum up the values between the dates between those two quarters. if Just q1 then only q1 result
If I pass multiple month then it should display the sum of the values for an absence type in those multiple months.
I will be passing the year in the parameter and the above two should consider the year I pass.
Create a column which has all the dates, and pivot up using pivot function in oracle.
SELECT *
FROM
(
SELECT PERSON_NUMBER,
EXTRACT(DAY FROM TO_DATE(ABS_DATE)) AS DAY_X,
ABS_TYPE_NAME,
ABS_DAYS
FROM TABLE
-- Add additional filter here which you want
)
PIVOT(SUM(ABS_DAYS)
FOR DAY_X IN (0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31))
Db fiddle - https://dbfiddle.uk/?rdbms=oracle_21&fiddle=ad3af639235f7a6db415ec714a3ee0d9
I got two tables. One with a bill of material and one with purchasing orders. Now I want to display the full bill of material of a product with the total on order amounts from the table purchasing.
**Billofmaterials**
BOM_ID BOM_Prod_id BOM_item_id
1 5 11
2 5 13
3 6 11
4 6 15
5 6 20
Example prod_id (product id) 6 has 3 items (id 11, 15 and 20).
**Purchasing**
PU_ID PU_item_id PU_amount PU_status
1 11 100 On order
2 11 650 On order
3 11 40 Received
4 20 600 On order
5 8 10 On order
6 15 150 Received
Now i got the following SQL
SELECT
BOM_item_id,
SUM(DISTINCT purchasing.PU_amount) as total_on_order
FROM Billofmaterials
LEFT JOIN purchasing
ON Billofmaterials.BOM_item_id= purchasing.PU_item_id
AND purchasing.PU_status != 'Received'
AND BOM_prod_id = 6
GROUP BY BOM_item_id
This query returns the following:
**Query result**
BOM_item_id total_on_order
11 750
20 600
Because there is only one received purchase order for BOM_item_id 15 it doesn't return a value. Now i want to retun BOM_item_id 15 also but with a total_on_order as 0 like:
**Expected result**
BOM_item_id total_on_order
11 750
15 0
20 600
What SQL feature/function do I need to use to get the expected result?
You can try the below -
SELECT BOM_item_id,coalesce(total_on_order,0) as total_on_order
FROM Billofmaterials left join
(
select PU_item_id,SUM(purchasing.PU_amount) as total_on_order
from purchasing
where purchasing.PU_status != 'Received'
group by PU_item_id
) purchasing
ON Billofmaterials.BOM_item_id= purchasing.PU_item_id
where BOM_prod_id = 6
I have a table that contains two columns - date an amount (usage). I want to compare my usage with last year's
Data
Date Amount
01-01-2015 23
02-01-2015 24
03-01-2015 19
04-01-2015 11
05-01-2015 5
06-01-2015 23
07-01-2015 21
08-01-2015 6
09-01-2015 26
10-01-2015 9
[...]
01-01-2016 30
02-01-2016 19
03-01-2016 5
04-01-2016 8
05-01-2016 15
06-01-2016 27
07-01-2016 19
08-01-2016 21
09-01-2016 24
10-01-2016 27
[until today's date]
The sql statement should return results up to today's date and the diff should be a running total - the amount on a day in 2016 minus the amount on the same day in 2015, plus the previous difference. Assuming today is Jan 10, the result would be:
Day Diff
01-01-2016 7 (30-23)
02-01-2016 2 (19-24+7)
03-01-2016 -12 (5-19+2)
04-01-2016 -15 (8-11-12)
05-01-2016 -5 (and so on...)
06-01-2016 -1
07-01-2016 -3
08-01-2016 12
09-01-2016 10
10-01-2016 28
I can't figure out to do this when the data is all in one table...
Thanks
Try this
SELECT t1.date Day,SUM(t2.Diff) FROM
amounts t1
INNER JOIN
(SELECT amounts.date Day, amounts.amount-prevamounts.amount Diff
FROM amounts inner join amounts prevamounts
ON amounts.date=date(prevamounts.date,'+1 years')) t2
ON t2.Day<=t1.date
group by t1.date;
demo here :
http://sqlfiddle.com/#!7/9bd4c/41