I have a table with the month, identifier and revenue for that month. What I would like to do is create a new field that for every row is the average revenue of the previous three months i.e. 'Prev_3month_Average'. Does anyone know a good sql function for this rather than joining the table onto itself three times?
E.g
Month ID Revenue Prev_3month_Average
201601 123 5 null
201602 123 10 null
201603 123 8 null
201604 123 10 7.666666667
201605 123 5 9.333333333
Thanks in advance!
Related
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
I'm working with a database that isn't structured that well and need to retrieve the row with the latest month used in specific years. The main data is stored is stored in the member table and lists one row per member month. The Date for the member month is not specifically stored here but connected by a foreign Date_Key and linked to a Date table. This is where the column for the Year and Month can be derived based on the Date_Key specified in each table. Each row in the Date table represents 1 new month for a year and each of these rows has a unique sequential date_key.
I am using Microsoft SQL Server Studio as the environment
Member Table
MemberKey
Membe_ID
Date_Key
100
1234
89
101
1234
96
102
1234
97
103
1236
96
104
1236
97
Date Table
Date_Key
Year
Month
89
2020
10
90
2020
11
91
2020
12
92
2021
1
93
2021
2
94
2021
3
95
2021
4
96
2021
5
97
2021
6
Looking for the following Results
Member_ID
Year
Month
1234
2020
10
1234
2021
6
1236
2021
6
2020/11 is NOT a date. It is a year/month pair. But it seems like a simple aggregate - select year, max(month) group by year. You join and include member ID so you include that column in the GROUP BY clause to get one row per member per year.
select mbr.Member_ID, dts.Year, max(dts.Month) as Month
from dbo.Members as mbr
inner join dbo.Dates as dts on mbr.Date_Key = dts.Date_Key
group by mbr.Member_ID, dts.Year
order by mbr.Member_ID, dts.Year
;
I have a table which has the monthly sales values for each of the items. I need last 3 months average sales value next to the current month sales for each item.
Need to perform this operation in hive.
The sample input table looks like below
Item_ID Sales Month
A 4295 Dec-2018
A 245 Nov-2018
A 1337 Oct-2018
A 3290 Sep-2018
A 2000 Aug-2018
B 856 Dec-2018
B 1694 Nov-2018
B 4286 Oct-2018
B 2780 Sep-2018
B 3100 Aug-2018
The result table should look like this
Item_ID Sales_Current_Month Month Sales_Last_3_months_average
A 4295 Dec-2018 1624
A 245 Nov-2018 2209
B 856 Dec-2018 2920
B 1694 Nov-2018 3388.67
Assuming there is no missing months data, you can use avg window function to do this.
select t.*
,avg(sales) over(partition by item_id order by month rows between 3 preceding and 1 preceding) as avg_sales_prev_3_months
from tbl t
If month column is in a format different from yyyyMM, use an appropriate conversion so the ordering works as expected.
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
Im trying to figure out the total for the quarter when the only data shown is a running total for the year:
Id Amount Periods Year Type Date
-------------------------------------------------------------
1 65 2 2014 G 4-1-12
2 75 3 2014 G 7-1-12
3 25 1 2014 G 1-1-12
4 60 1 2014 H 1-1-12
5 75 1 2014 Y 1-1-12
6 120 3 2014 I 7-1-12
7 30 1 2014 I 1-1-12
8 90 2 2014 I 4-1-12
In the data shown above. The items in type G and I are running totals for the period (in qtrs). If my query returns period 3, is there a sql way to get the data for the qtr? The math would involve retrieving the data for the 3rd period - 2nd period.
Right now my sql is something like:
SELECT * FROM data WHERE Date='4-1-12';
In this query, it will return row #1, which is a total for 2 periods. I would like it to return just the total for the 2nd period. Im looking to make this happen with SQLite.
Any help would be appreciated.
Thank alot
You want to subtract the running total of the previous quarter:
SELECT Id,
Year,
Type,
Date,
Amount - IFNULL((SELECT Amount
FROM data AS previousQuarter
WHERE previousQuarter.Year = data.year
AND previousQuarter.Type = data.Type
AND previousQuarter.Periods = data.Periods - 1
), 0) AS Amount
FROM data
The IFNULL is needed to handle a quarter that has no previous quarter.