I have a transaction table like this:
Trandate channelID branch amount
--------- --------- ------ ------
01/05/2019 1 2 2000
11/05/2019 1 2 2200
09/03/2020 1 2 5600
15/03/2020 1 2 600
12/10/2019 2 10 12000
12/10/2019 2 10 12000
15/11/2019 4 7 4400
15/02/2020 4 2 2500
I need to sum amount and count transactions by year and month. I tried this:
select DISTINCT
DATEPART(YEAR,a.TranDate) as [YearT],
DATEPART(MONTH,a.TranDate) as [monthT],
count(*) as [countoftran],
sum(a.Amount) as [amount],
a.Name as [branch],
a.ChannelName as [channelID]
from transactions as a
where a.TranDate>'20181231'
group by a.Name, a.ChannelName, DATEPART(YEAR,a.TranDate), DATEPART(MONTH,a.TranDate)
order by a.Name, YearT, MonthT
It works like charm. However, I will use this data on PowerBI thus I cannot show these results in a "line graphic" due to the year and month info being in separate columns.
I tried changing format on SQL to 'YYYYMM' alas powerBI doesn't recognise this column as date.
So, in the end, I need a result table looks like this:
YearT channelID branch Tamount TranT
--------- --------- ------ ------- -----
31/05/2019 1 2 4400 2
30/03/2020 1 2 7800 2
31/10/2019 2 10 24000 2
30/11/2019 4 7 4400 1
29/02/2020 4 2 2500 1
I have tried several little changes with no result.
Help is much appreciated.
You may try with the following statement:
SELECT
EOMONTH(DATEFROMPARTS(YEAR(Trandate), MONTH(Trandate), 1)) AS YearT,
branch, channelID,
SUM(amount) AS TAmount,
COUNT(*) AS TranT
FROM (VALUES
('20190501', 1, 2, 2000),
('20190511', 1, 2, 2200),
('20200309', 1, 2, 5600),
('20200315', 1, 2, 600),
('20191012', 2, 10, 12000),
('20191012', 2, 10, 12000),
('20191115', 4, 7, 4400),
('20200215', 4, 2, 2500)
) v (Trandate, channelID, branch, amount)
GROUP BY DATEFROMPARTS(YEAR(Trandate), MONTH(Trandate), 1), branch, channelID
ORDER BY DATEFROMPARTS(YEAR(Trandate), MONTH(Trandate), 1)
Result:
YearT branch channelID TAmount TranT
2019-05-31 2 1 4200 2
2019-10-31 10 2 24000 2
2019-11-30 7 4 4400 1
2020-02-29 2 4 2500 1
2020-03-31 2 1 6200 2
Related
I have 2 dimension tables and 1 fact table as follows:
user_dim
user_id
user_name
user_joining_date
1
Steve
2013-01-04
2
Adam
2012-11-01
3
John
2013-05-05
4
Tony
2012-01-01
5
Dan
2010-01-01
6
Alex
2019-01-01
7
Kim
2019-01-01
bundle_dim
bundle_id
bundle_name
bundle_type
bundle_cost_per_day
101
movies and TV
prime
5.5
102
TV and sports
prime
6.5
103
Cooking
prime
7
104
Sports and news
prime
5
105
kids movie
extra
2
106
kids educative
extra
3.5
107
spanish news
extra
2.5
108
Spanish TV and sports
extra
3.5
109
Travel
extra
2
plans_fact
user_id
bundle_id
bundle_start_date
bundle_end_date
1
101
2019-10-10
2020-10-10
2
107
2020-01-15
(null)
2
106
2020-01-15
2020-12-31
2
101
2020-01-15
(null)
2
103
2020-01-15
2020-02-15
1
101
2020-10-11
(null)
1
107
2019-10-10
2020-10-10
1
105
2019-10-10
2020-10-10
4
101
2021-01-01
2021-02-01
3
104
2020-02-17
2020-03-17
2
108
2020-01-15
(null)
4
102
2021-01-01
(null)
4
103
2021-01-01
(null)
4
108
2021-01-01
(null)
5
103
2020-01-15
(null)
5
101
2020-01-15
2020-02-15
6
101
2021-01-01
2021-01-17
6
101
2021-01-20
(null)
6
108
2021-01-01
(null)
7
104
2020-02-17
(null)
7
103
2020-01-17
2020-01-18
1
102
2020-12-11
(null)
2
106
2021-01-01
(null)
7
107
2020-01-15
(null)
note: NULL bundle_end_date refers to active subscription.
user active days can be calculated as: bundle_end_date - bundle_start_date (for the given bundle)
total revenue per user could be calculated as : total no. of active days * bundle rate per day
I am looking to write a query to find revenue generated per user per year.
Here is what I have for the overall revenue per user:
select pf.user_id
, sum(datediff(day, pf.bundle_start_date, coalesce(pf.bundle_end_date, getdate())) * bd.price_per_day) total_cost_per_bundle
from plans_fact pf
inner join bundle_dim bd on bd.bundle_id = pf.bundle_id
group by pf.user_id
order by pf.user_id;
You need a 'year' table to help parse out each multi-year spanning row into it's seperate years. For each year, you need to also recalculate the start and end dates. That's what I do in the yearParsed cte in the code below. I hard code the years into the join statement that creates y. You probably will do it different but however you get those values will work.
After that, pretty much sum as you did before, just adding the year column to your grouping.
Aside from that, all I did was move the null coalesce logic to the cte to make the overall logic simpler.
with yearParsed as (
select pf.*,
y.year,
startDt = iif(pf.bundle_start_date > y.startDt, pf.bundle_start_date, y.startDt),
endDt = iif(ap.bundle_end_date < y.endDt, ap.bundle_end_date, y.endDt)
from plans_fact pf
cross apply (select bundle_end_date = isnull(pf.bundle_end_date, getdate())) ap
join (values
(2019, '2019-01-01', '2019-12-31'),
(2020, '2020-01-01', '2020-12-31'),
(2021, '2021-01-01', '2021-12-31')
) y (year, startDt, endDt)
on pf.bundle_start_date <= y.endDt
and ap.bundle_end_date >= y.startDt
)
select yp.user_id,
yp.year,
total_cost_per_bundle = sum(datediff(day, yp.startDt, yp.endDt) * bd.bundle_cost_per_day)
from yearParsed yp
join bundle_dim bd on bd.bundle_id = yp.bundle_id
group by yp.user_id,
yp.year
order by yp.user_id,
yp.year;
Now, if this is common, you should probably create a base-table for your 'year' table. But if it's not common, but for this report you don't want to have to keep coming back to hard-code the year information into the y table, you can do this:
declare #yearTable table (
year int,
startDt char(10),
endDt char(10)
);
with y as (
select year = year(min(pf.bundle_start_date))
from #plans_fact pf
union all
select year + 1
from y
where year < year(getdate())
)
insert #yearTable
select year,
startDt = convert(char(4),year) + '-01-01',
endDt = convert(char(4),year) + '-12-31'
from y;
and it will create the appropriate years for you. But you can see why creating a base table may be preferred if you have this or a similar need often.
I've got a data set like the following - Quantities and Sales $ aggregated by week and product
Week Product Quantity Sales
---- ------- -------- -----
1 12a 6 600
2 12a 4 400
3 12a 3 300
4 12a 1 100
5 12a 3 300
6 12a 1 100
7 12a 4 400
8 12a 6 600
9 12a 2 200
For every week, I need to sum quantity and sales for that week plus the previous 3 weeks
Desired result would be:
Week Product Quantity Sales
---- ------- -------- -----
1 12a 14 1400 --> Week 1 + Week 2 + Week 3 + Week 4 but row labeled Week 1
2 12a 11 1100
I feel like I need a loop to evaluate each week
Use window functions:
select t.*,
sum(quantity) over (partition by product
order by week
rows between current row and 3 following
) as quantity,
sum(sales) over (partition by product
order by week
rows between current row and 3 following
) as sales
from t;
I have the receiving and sending data for whole year. so i want to built the monthly report base on that data with the rule is Fisrt in first out. It means is the first receiving will be sent out first ...
DECLARE #ReceivingTbl AS TABLE(Id INT,ProId int, RecQty INT,ReceivingDate DateTime)
INSERT INTO #ReceivingTbl
VALUES (1,1001,210,'2019-03-12'),
(2,1001,315,'2019-06-15'),
(3,2001,500,'2019-04-01'),
(4,2001,10,'2019-06-15'),
(5,1001,105,'2019-07-10')
DECLARE #SendTbl AS TABLE(Id INT,ProId int, SentQty INT,SendMonth int)
INSERT INTO #SendTbl
VALUES (1,1001,50,3),
(2,1001,100,4),
(3,1001,80,5),
(4,1001,80,6),
(5,2001,200,6)
SELECT * FROM #ReceivingTbl ORDER BY ProId,ReceivingDate
SELECT * FROM #SendTbl ORDER BY ProId,SendMonth
Id ProId RecQty ReceivingDate
1 1001 210 2019-03-12
2 1001 315 2019-06-15
5 1001 105 2019-07-10
3 2001 500 2019-04-01
4 2001 10 2019-06-15
Id ProId SentQty SendMonth
1 1001 50 3
2 1001 100 4
3 1001 80 5
4 1001 80 6
5 2001 200 6
--- And the below is what i want:
Id ProId RecQty ReceivingDate ... Mar Apr May Jun
1 1001 210 2019-03-12 ... 50 100 60 0
2 1001 315 2019-06-15 ... 0 0 20 80
5 1001 105 2019-07-10 ... 0 0 0 0
3 2001 500 2019-04-01 ... 0 0 0 200
4 2001 10 2019-06-15 ... 0 0 0 0
Thanks!
Your question is not clear to me.
If you want to purely use the FIFO approach, therefore ignore any data the table contains, you necessarely need to order by ID, which in your example you are providing, and looks like it is in order of insert.
The first line inserted should be also the first line appearing in the select (FIFO), in order to do so you have to use:
ORDER BY Id ASC
Which will place the lower value of the ID first (1, 2, 3, ...)
To me though, this doesn't make much sense, so pay attention to the meaning o the data you actually have and leverage dates like ReceivingDate, and order by that, maybe even filtering by month of the date, below an example for January data:
WHERE MONTH(ReceivingDate) = 1
We have two columns Id and month Id.
The output what I'm looking for is to divide year from month Id based on quarter granularity. The activity column should be from quarter. If id is active activity should be 1 else 0 .If id comes in any of the 1st quarter (eg:only 1) the activity is still 1 .
Like this:
id month_dt
-----------------------------------
1000000000 2012-03-01 00:00:00.0
1000000000 2015-09-01 00:00:00.0
1000000000 2016-10-01 00:00:00.0
1000000000 2015-11-01 00:00:00.0
1000000000 2014-01-01 00:00:00.0
1000000000 2013-04-01 00:00:00.0
1000000000 2014-12-01 00:00:00.0
1000000000 2015-02-01 00:00:00.0
1000000000 2014-06-01 00:00:00.0
1000000000 2013-01-01 00:00:00.0
1000000000 2014-05-01 00:00:00.0
1000000000 2016-05-01 00:00:00.0
1000000000 2013-07-01 00:00:00.0
What is expected:
ID YEAR QTR ACTIVITY (1 or 0)
--------------------------------------------------
1000000000 2012 1 1
1000000000 2012 2 0
1000000000 2012 3 0
1000000000 2012 4 0
1000000000 2013 1 1
1000000000 2013 2 1
1000000000 2013 3 1
1000000000 2013 4 0
Below is the one I tried but it doesn't return the expected results. Please help me achieve this
SELECT
a.id, a.year,
SUM(CASE WHEN quarter BETWEEN 1 AND 3 THEN 1 ELSE 0 END) AS Q1,
SUM(CASE WHEN quarter BETWEEN 4 AND 6 THEN 1 ELSE 0 END) AS Q2,
SUM(CASE WHEN quarter BETWEEN 7 AND 9 THEN 1 ELSE 0 END) AS Q3,
SUM(CASE WHEN quarter BETWEEN 10 AND 12 THEN 1 ELSE 0 END) AS Q4
FROM
(SELECT
id,
TRIM(SUBSTRING(month_id, 1, 4)) AS year,
TRIM(regexp_replace(SUBSTR(month_id, 5, 4), "-", "")) as quarter
FROM
test.patientid) a
GROUP BY
a.id, a.year
I think you are looking for something like this:
select y.yyyy, q.q,
(case when count(t.month_dt) > 0 then 1 else 0 end) as activity_flag
from (select distinct year(month_dt) as yyyy from t) y cross join
(select distinct quarter(month_dt) as q from t) q left join
t
on year(t.month_dt) = y.yyyy and quarter(t.month_dt) = q.q
group by y.yyyy, q.q;
This assumes that there is at least one activity for each quarter in a year (regardless of the quarter). Otherwise, you just need to put in a list of 1, 2, 3, and 4 to get the quarters.
#Babu; If the function quarter does not exist in your version of hive, I have an alternate function for getting the quarter on a give date. Hope this helps. Thanks!
create table qtrs(qtr int);
insert into qtrs values (1),(2),(3),(4);
create table ims
(id int,
month_dt date
);
insert into ims values
(100, '2012-03-01'),
(100, '2013-04-01'),
(100, '2013-01-01'),
(100, '2013-07-01'),
(100, '2014-01-01'),
(100, '2014-05-01'),
(100, '2014-06-01'),
(100, '2014-12-01'),
(100, '2015-02-01'),
(100, '2015-09-01'),
(100, '2015-11-01'),
(100, '2016-05-01'),
(100, '2016-10-01');
insert into ims values
(200, '2012-03-01'),
(200, '2013-04-01');
Query:
select DISTINCT NVL(ims.id, qtr.id) as id,qtr.year as year,qtr.qtr as qtr,
IF(ims.id is null, 0, 1) as activity
from jbacoy.ims ims
right join (select distinct ims.id,YEAR(ims.month_dt) as year,qtrs.qtr from jbacoy.ims ims join jbacoy.qtrs qtrs) qtr
on (ims.id=qtr.id and year(ims.month_dt)=qtr.year and int((month(month_dt)-1)/3)+1=qtr.qtr)
sort by id, year, qtr;
Result:
id year qtr activity
100 2012 1 1
100 2012 2 0
100 2012 3 0
100 2012 4 0
100 2013 1 1
100 2013 2 1
100 2013 3 1
100 2013 4 0
100 2014 1 1
100 2014 2 1
100 2014 3 0
100 2014 4 1
100 2015 1 1
100 2015 2 0
100 2015 3 1
100 2015 4 1
100 2016 1 0
100 2016 2 1
100 2016 3 0
100 2016 4 1
200 2012 1 1
200 2012 2 0
200 2012 3 0
200 2012 4 0
200 2013 1 0
200 2013 2 1
200 2013 3 0
200 2013 4 0
I would like to get report for drink purchased in whole month but price of the drink can change any time in month and I would like to get report for a month with price change
I have two tables
SELECT [ID]
,[DrinkID]
,[UserID]
,[qty]
,[DateTaken]
FROM [Snacks].[dbo].[DrinkHistory]
SELECT [ID]
,[DrinkID]
,[UserID]
,[qty]
,[DateTaken]
FROM [Snacks].[dbo].[DrinkHistory]
[DrinkHistory]:
ID DrinkID UserID qty DateTaken
----------------------------------------------------------------------
1 1 1 1 2014-05-10
2 1 1 2 2014-05-15
3 2 1 1 2014-06-01
4 2 1 4 2014-06-01
5 1 1 3 2014-05-20
6 1 1 4 2014-05-30
[DrinkPricesEffect]:
PriceID DrinkID DrinkPrice PriceEffectiveDate IsCurrent
-----------------------------------------------------------------------------------
1 1 10.00 2014-05-01 1
2 1 20.00 2014-05-20 1
3 2 9.00 2014-06-01 1
4 2 8.00 2014-01-01 1
5 1 30.00 2014-05-25 1
6 1 40.00 2014-05-28 1
I would like to have result as under date taken between 2014-05-1 to 2014-05-31
DrinkId Qty Price DateTaken PriceEffectiveDate
-----------------------------------------------------------------------
1 1 10 2014-05-10 2014-05-01
1 2 10 2014-05-15 2014-05-01
1 3 20 2014-05-20 2014-05-20
1 4 40 2014-05-30 2014-05-28
Is there any who can give me some idea or write query for me?
If your drink price can change any time in a month you could additionaly save the price for each purchase. I would add a column [PricePaid] to the table [DrinkHistory].
When adding a record to [DrinkHistory], the price for the drink at the moment is known, but later it might change so you save the current price to the history...
Then for your result you could just display the Whole [DrinkHistory]
SELECT * FROM DrinkHistory;
This should work:
Select
DH.DrinkId,
DH.Qty,
DPE.DrinkPrice AS Price,
DH.DateTaken,
DPE.PriceEffectiveDate
FROM DrinkHistory DH
JOIN DrinkPricesEffect DPE ON DPE.PriceID =
(
Select Top 1 PriceID FROM
(
Select PriceID,RANK() OVER(ORDER BY PriceEffectiveDate DESC ) AS rnk
FROM DrinkPricesEffect
WHERE DH.DrinkId = DrinkId AND
DH.DateTaken >= PriceEffectiveDate
)SubQ WHERE rnk = 1
)
WHERE DH.DateTaken Between '2014-05-01' AND '2014-05-30'
Here you can find the SQL Fiddle link: http://sqlfiddle.com/#!6/5f8fb/26/0