Apply a discount to order if user already ordered something else - sql

I have a table with users, a table with levels, a table for submitted orders and processed orders.
Here's what the submitted orders looks like:
OrderId UserId Level_Name Discounted_Price Order_Date Price
1 1 OLE Core 0 2020-11-01 00:00:00.000 19.99
2 1 Xandadu 1 2020-11-01 00:00:00.000 0
3 2 Xandadu 0 2020-12-05 00:00:00.000 5
4 1 Eldorado 1 2021-01-31 00:00:00.000 9
5 2 Eldorado 0 2021-02-20 00:00:00.000 10
6 2 Birmingham Blues NULL 2021-07-10 00:00:00.000 NULL
What I am trying to do:
UserId 2 has an order for Birmingham Blues, they have already ordered Eldorado and so qualify for a discount on their Birmingham Blues order. Is there a way to check the entire table for this similarity, and if it exists update the discounted price to a 1 and change the price to lets say 10 for the Birmingham Blues order.
EDIT: I have researched the use of cursors, which I'm sure will do the job but they seem complicated and was hoping a simpler solution would be possible. A lot of threads seem to also avoid using cursors. I also looked at this question: T-SQL: Deleting all duplicate rows but keeping one and was thinking I could potentially use the answer to that in some way.

Based on your description and further comments, the following should hopefully meet your requirements - updating the row for the specified User where the values are currently NULL and the user has a qualifying existing order:
update s set
s.Discounted_Price = 1,
Price = 10
from submitted_Orders s
where s.userId=2
and s.Level_Name = 'Birmingham Blues'
and s.discounted_Price is null
and s.Price is null
and exists (
select * from submitted_orders so
where so.userId = s.userId
and so.Level_name = 'Eldorado'
and so.Order_Date < s.OrderDate
);

Related

SQL Query - Identifying entries between payment dates greater than 6 years

I have this table (in reality it has more fields but for simplicity, it will demonstrate what I'm after)
Payment_Type
Person ID
Payment_date
Payment_Amount
Normal
1
2015-01-01
£1.00
Normal
1
2017-01-01
£2.00
Reversal
1
2022-01-09
£3.00
Normal
2
2016-12-29
£3.00
Reversal
2
2022-01-02
£4.00
I need 2 specific things from this:
I need all entries where there is over 6 years difference between any given payment dates (when its been greater than or equal to 6 years from the date of the latest payment date). I don't need to count them, I just need it to return all the entries that meet this criteria.
I also need it to specify where a normal payment hasn't been made for 6 years or more from todays date but a reversal has however occurred within the last 6 years. (This might need to be a separate query but will take suggestions)
I'm using Data Lake (Hue).
Thank you.
I've tried to run a sub query with join and union but I'm not getting the desired results so will need to start from scratch. Any advice/insight on this is greatly appreciated.
Ideally, query one will show:
Payment_Type
Person ID
Payment_date
Payment_Amount
Normal
1
2015-01-01
£1.00
Normal
1
2017-01-01
£2.00
Normal
2
2016-12-29
£3.00
Query 2 results should show:
Payment_Type
Person ID
Payment_date
Payment_Amount
Normal
1
2017-01-01
£2.00
Reversal
1
2022-01-09
£3.00
Normal
2
2016-12-29
£3.00
Reversal
2
2022-01-02
£4.00

How to put 0 in a column when no records were made in a day

Im trying to fetch the numbers of customers per date for the last 28 days. I also need to get 0 if there are no customers in a certain day. However, I only know how to fetch all the dates with the records. Not the dates with 0 customers.
Instead of:
date customers
0 2022-01-02 1
1 2022-01-05 4
2 2022-01-06 1
I want to get
date customers
0 2022-01-01 0
1 2022-01-02 1
1 2022-01-03 0
1 2022-01-04 0
1 2022-01-05 4
2 2022-01-06 1
The most simple way is to add a calendar table that involves all dates in a single colums and add a RIGHT OUTER JOIN ti this table.
Another way is to use a CTE (recursive or with some CROOS JOINs) to produce dynamically the calendar then join.
An old proverb says that you only find in a database what you put in it...
Of course the best approach from a performance point of view is the fixed calendar table

SQL Query for a table

I’m looking for a little assistance. I have a table called equipment. One row is an order of some type of equipment.
Here are the fields:
num_id date player_id order_id active jersey comment
BIGINT DATE BIGINT BIGINT CHAR(1) CHAR(3) VARCHAR(1024)
11 2018-01-01 123 1 Y XL
11 2018-01-01 123 2 Y M Purple
11 2018-01-01 123 3 Y L White, Red
13 2018-01-11 456 1 N S Yellow, Light Blue
14 2018-02-01 789 1 Y M Orange, Black
15 2018-02-02 101 1 Y XL Shield
15 2018-02-02 101 2 Y XL Light Green, Grey
I need to write a query that shows one row for each month with the columns
Month
Total Orders
Total Products ordered
And one extra column for a total count of each size sold.
Is this easy? Any help would be appreciated.
EDIT: To answer people's questions below, SQL Server is the dbms. My apologies. As well, I am struggling as I don't know how to get the month from a date. And then adding the column for size counts has me baffled, but I haven't fully investigated that portion. I feel like the rest I have done individually, just never did it in one succinct query.
It looks weird here and I don't know how to add a table to stackoverflow, so I'll try to make it a little more visually appealing here:
The end goal I think would be like this:
Month Total Orders Total Products Ordered Size Count
January 1 3 S-0, M-1, L-1, XL-2
February 3 6 S–1, M–2, L–1, XL–3
Or this:
Month Total Orders Total Products Ordered S Count M Count L Count XL Count
January 1 3 0 1 1 2
February 3 6 1 2 1 3
You need PIVOT.
It basicly turns rows into columns, which exactly is your case.
https://www.codeproject.com/Tips/500811/Simple-Way-To-Use-Pivot-In-SQL-Query

Max date among records and across tables - SQL Server

I tried max to provide in table format but it seem not good in StackOver, so attaching snapshot of the 2 tables. Apologize about the formatting.
SQL Server 2012
**MS Table**
**mId tdId name dueDate**
1 1 **forecastedDate** 1/1/2015
2 1 **hypercareDate** 11/30/2016
3 1 LOE 1 7/4/2016
4 1 LOE 2 7/4/2016
5 1 demo for yy test 10/15/2016
6 1 Implementation – testing 7/4/2016
7 1 Phased Rollout – final 7/4/2016
8 2 forecastedDate 1/7/2016
9 2 hypercareDate 11/12/2016
10 2 domain - Forte NULL
11 2 Fortis completion 1/1/2016
12 2 Certification NULL
13 2 Implementation 7/4/2016
-----------------------------------------------
**MSRevised**
**mId revisedDate**
1 1/5/2015
1 1/8/2015
3 3/25/2017
2 2/1/2016
2 12/30/2016
3 4/28/2016
4 4/28/2016
5 10/1/2016
6 7/28/2016
7 7/28/2016
8 4/28/2016
9 8/4/2016
9 5/28/2016
11 10/4/2016
11 10/5/2016
13 11/1/2016
----------------------------------------
The required output is
1. Will be passing the 'tId' number, for instance 1, lets call it tid (1)
2. Want to compare tId (1)'s all milestones (except hypercareDate) with tid(1)'s forecastedDate milestone
3. return if any of the milestone date (other than hypercareDate) is greater than the forecastedDate
The above 3 steps are simple, but I have to first compare the milestones date with its corresponding revised dates, if any, from the revised table, and pick the max date among all that needs to be compared with the forecastedDate
I managed to solve this. Posting the answer, hope it helps aomebody.
//Insert the result into temp table
INSERT INTO #mstab
SELECT [mId]
, [tId]
, [msDate]
FROM [dbo].[MS]
WHERE ([msName] NOT LIKE 'forecastedDate' AND [msName] NOT LIKE 'hypercareDate'))
// this scalar function will get max date between forecasted duedate and forecasted revised date
SELECT #maxForecastedDate = [dbo].[fnGetMaxDate] ( 'forecastedDate');
// this will get the max date from temp table and compare it with forecasatedDate/
SET #maxmilestoneDate = (SELECT MAX(maxDate)
FROM ( SELECT ms.msDueDate AS dueDate
, mr.msRevisedDate AS revDate
FROM #mstab as ms
LEFT JOIN [MSRev] as mr on ms.msId = mr.msId
) maxDate
UNPIVOT (maxDate FOR DateCols IN (dueDate, revDate))up );

SQL: Display joined data on a day to day basis anchored on a start date

Perhaps my title is misleading, but I am not sure how else to phrase this. I have two tables, tblL and tblDumpER. They are joined based on the field SubjectNumber. This is a one (tblL) to many (tblDumpER) relationship.
I need to write a query that will give me, for all my subjects, a value from tblDumpER associated with a date in tblL. This is to say:
SELECT tblL.SubjectNumber, tblDumpER.ER_Q1
FROM tblL
LEFT JOIN tblDumpER ON tblL.SubjectNumber=tblDumpER.SubjectNumber
WHERE tblL.RandDate=tblDumpER.ER_DATE And tblDumpER.ER_Q1 Is Not Null
This is straightforward enough. My problem is the value RandDate from tblL is different for every subject. However, it needs to be displayed as Day1 so I can have tblDumpER.ER_Q1 as Day1 for every subject. Then I need RandDate+1 As Day2, etc until I hit either null or Day84. The 'dumb' solution is to write 84 queries. This is obviously not practical. Any advice would be greatly appreciated!
I appreciate the responses so far but I don't think that I'm explaining this correctly so here is some example data:
SubjectNumber RandDate
1001 1/1/2013
1002 1/8/2013
1003 1/15/2013
SubjectNumber ER_DATE ER_Q1
1001 1/1/2013 5
1001 1/2/2013 6
1001 1/3/2013 2
1002 1/8/2013 1
1002 1/9/2013 10
1002 1/10/2013 8
1003 1/15/2013 7
1003 1/16/2013 4
1003 1/17/2013 3
Desired outcome:
(Where Day1=RandDate, Day2=RandDate+1, Day3=RandDate+2)
SubjectNumber Day1_ER_Q1 Day2_ER_Q1 Day3_ER_Q1
1001 5 6 2
1002 1 10 8
1003 7 4 3
This data is then going to be plotted on a graph with Day# on the X-axis and ER_Q1 on the Y-axis
I would do this in two steps:
Create a query that gets the MIN date for each SubjectNumber
Join this query to your existing query, so you can perform a DATEDIFF calculation on the MIN date and the date of the current record.
I'm not entirely sure of what it is that you need, but perhaps a calendar table would be of help. Just create a local table that contains all of the days of the year in it, then use that table to JOIN your dates up?