This might be a simple one but I haven't got a solution yet. I have a create_date field which is a date type, and a revenue number. I want to see weekly break down of revenue.
I can get the numbers easily in tableau because of built in functionality but doing it in PostgreSQL is where I need some help.
If you want the revenue by week, you'll need to group and aggregate:
select extract (week from create_date) as week, sum(revenue) from table group by week
Related
I have a table of sales grouped by week. I want to write a query that creates a new table giving the sales of the week in question AND the sales of that item from this time last year, but my attempts either give blank cells for the this-time-last-year (TTLY) values or duplicates.
I've tried writing a subquery that takes the date, subtracts 52 weeks, and shows the value for that week, then joining that subquery to my main query.
However, that subquery isn't working: the query shows the date of a year ago correctly, but doesn't then pull the SALES for that TTLY week, only the current week.
with ttyl as
(select
date::date as date,
(sales.date - interval '52 weeks') as date_ttly,
ID,
value
from sales
where country = 'uk' and date > '2019-08-01' and ID = '12345678')
In this example the subquery generates the previous year's date in the date_ttly column but pulls 2019 data in the value column.
All the WHERE conditions are just temporary so as to make building the query easier.
Thank you!
Assuming that the sales are grouped by date and by country only, a join on the same table should work:
SELECT sales1.id,
sales1.date,
sales1.value,
sales2.date,
sales2.value
FROM sales AS sales1
JOIN sales AS sales2 ON sales1.date - interval '52 weeks' = sales2.date
AND sales1.country = sales2.country
However, this also assumes that your date is always the same day of the week, e.g. Monday.
I have 3 tables, one with stocktakes conducted last year, one with stocktakes conducted this year and one with sales. All of them are joined by date to one table where I have dates.
Now the question is what can I do to get table with:
store name/ last year stocktake date/ this year stocktake date/ sum of sales from last year stocktake date to this year stocktake date.
If you choose store, than stocktake date from one table, stocktake from second table all looks good, the problem is that I can't get sales to show from/to.
C2Csales = calculate(sum(PP_SalesLessTax[SalesLessTax]),PP_SalesLessTax[date] >= [ly date])
[ly date] is just a measure with last year stocktake date
I have a feeling that this have to be very easy but have no idea how to get this work
thanks
daniel
please see data model. It is a part of bigger model but I have trimmed it so it is clear what is this about.
data model
And here is what I need. Please see picture.
thanks for all responses
result required
You don't need two tables to simulate years. You can have just one. The idea of last year should be calculated by a measure. If you have a complete date table with a day for each row without missing days then you can build time intelligence.
If I get you, you need something like this two measures:
Sales = sum(PP_SalesLessTax[SalesLessTax]
Sales LY = CALCULATE ( sum(PP_SalesLessTax[SalesLessTax] , SAMEPERIODLASTYEAR ( DatesTable[DateColumn] )
With this two measures you can take both of them on same visualizations to compare them.
The idea of having from and to can be solved on visualizations. The slicer with a date type column can create a range filter data that will apply for this two created measures.
I am using SQL Server 2008 R2. Here is the query I have that returns monthly sales totals by zip code, per store.
select
left(a.Zip, 5) as ZipCode,
s.Store,
datename(month,s.MovementDate) as TheMonth,
datepart(year,s.MovementDate) as TheYear,
datepart(mm,s.MovementDate) as MonthNum,
sum(s.Dollars) as Sales,
count(*) as [TxnCount],
count(distinct s.AccountNumber) as NumOfAccounts
from
dbo.DailySales s
inner join
dbo.Accounts a on a.AccountNumber = s.AccountNumber
where
s.SaleType = 3
and s.MovementDate > '1/1/2016'
and isnull(a.Zip, '') <> ''
group by
left(a.Zip, 5),
s.Store,
datename(month, s.MovementDate),
datepart(year, s.MovementDate),
datepart(mm, s.MovementDate)
Now I'd like to add columns that compare sales, TxnCount, and NumOfAccounts to the same month the previous year for each zip code and store. I also would like each zip code/store combo to have a record for every month in the range; so zeros if null.
I do have a calendar table that I tried to use to get all months, but I ran into problems because of my "where" statements.
I know that both of these issues (comparing to previous year and including all dates in a date range) have been asked and answered before, and I've gotten them to work before myself, but this particular one has me running in circles. Any help would be appreciated.
I hope this is clear enough.
Thanks,
Tim
Treat the Query you have above as a data source. Run it as a CTE for the period you want to report, plus the period - 12 months (to get the historic data). (SalesPerMonth)
Then do a query that gets all the months you need from your calendar table as another CTE. This is the reporting months, not the previous year. (MonthsToReport)
Get a list of every valid zip code / Store combo - probably a select distinct from the SalesPerMonth CTE this would give you only combos that have at least one sale in the period (or historical period - you probably also want ones that sold last year, but not this year). Another CTE - StoreZip
Finally, your main query cross joins the StoreZip results with the MonthsToReport - this gives you the one row per StoreZip/Month combos you are looking for. Left join twice to the SalesPerMonth data, once for the month, once for the 1 year previous data. Use ISNULL to change any null records (no data) to zero.
Instead of CTEs, you could also do it as separate queries, storing the results in Temp tables instead. This may work better for large amounts of data.
I am looking for a way to group my data which has a column with datetime in it.
I want to group it such that, the business requirement is to have the records by a fixed week definition of (1-7, 8-14, 15-21, 22-28, 29-31).
While MongoDB $week would group by calendar weeks.
Any idea how to go about this custom grouping?
Background
Postgresql has the nice function date_trunc() which makes it easy to compute the date a week starts. This is great for aggregations on a week level. eg.
SELECT
date_trunc('week', create_date),
count(*)
FROM ...
GROUP BY 1;
HiveQL has the function WEEKOFYEAR() that gives you the week number. If you combine this with YEAR() you can make aggregates of the same type as in postgres.
SELECT
YEAR(create_date),
WEEKOFYEAR(create_date),
count(*)
FROM ...
GROUP BY YEAR(create_date), WEEKOFYEAR(create_date);
This is great. But what if I would like the actual date of the week?
Question
How can I compute the week date in HiveQL, from either a year and week number or directly from a timestamp?
Well there are not many functions in Hive. So it has the support for Custom UDF. You write your own function and integrate in Hive.
Here are some of the UDF which might be helpful:
1.) Link 1
2.) Link 2
Hope this helps..!!!