I have a table called Sales with a date column called SaleDate. How can I write a SQL query that shows the Australian financial year in addition to the other columns?
More details:
I use Microsoft SQL Server
The Australian financial year starts on 1 July and ends the next year on 30 June.
Example 1: 10 June 2019 is FY 2019
Example 2: 5 July 2019 is FY 2020
For Microsoft SQL Server, the following query will show a new column called FY, which represents the Australian financial year.
SELECT
year(dateadd(MONTH, 6, SaleDate)) AS FY,
SaleDate,
Item
FROM Sales
Related
How can I build a DAX function which calculates all the data until a certain date and compare that with the previous year which have the same months as the "until" date?
For example, today's date is 5 April 2018, so if I select 2017 year inside the slicer, I should be able to see a graph which shows me the comparison between the start of year i.e 1 Jan 2018 to 5 April 2018, and 1 Jan 2017 to 5 April 2017 with the previous year.
Currently I am using YtD, but I think it's calculating all the 12 months of data of all the years except the year 2018, where it shows me data from Jan 1 to April 5. Can anyone shed some light here?
Currently I am using this YTDQty = TOTALYTD(sum(Bookscan[QtySold]),DATESYTD(Bookscan[Week Date]))
Which is showing me correct data of 2018, till date, I should be able to compare the 4 months of data to my previous years 2017, 2016, 2015, these years are showing me total data for all the years i.e 12months of data, However I only need to see data start from 2018 Jan till todays date or let say March 1, so all the years should show me this current data how to do this?
Very similar to this question.
Do you have a Date Dimension in your model?
TotalQuantity =
SUM(Bookscan[QtySold])
TotalQuantity YTD =
TOTALYTD([TotalQuantity],'Date'[Date])
TotalQuantity YTD LY =
CALCULATE(
[TotalQuantity YTD],
SAMEPERIODLASTYEAR('Date'[Date])
)
I am querying against a table of 4 yrs of order transactions (pk = order number) and I'm looking to tag each record with particular date flags based on the order date - e.g., calendar year, calendar month, fiscal year, etc. There are date attributes that are specific to our business (e.g., not easily solved by a datepart function) that I'm having trouble with.
I was able to add "School Year" (for us that runs Aug 1 - July 31) using a case statement:
case
when datepart(month, oline.order_date_ready) between 8 and 12 then datepart(year, oline.order_date_ready)
else (datepart(year, oline.order_date_ready)-1)
end as school_yr
So for 1/19/2017, the above would return "2016", because to us the 2016 school year runs from Aug 1 2016 to July 31 2017.
But now I'm having trouble repeating the same kind of case statement for something called "Rollover Year". All of our order history tables are reset/"rolled over" on the 2nd Saturday in July every calendar year, so for example the most recent rollover date was Saturday July 9th 2016. Click to view - rollover year date ranges
My above case statement doesn't apply anymore because I can't just add "datepart(month, oline.order_date_ready) = 7" - I don't need the whole month of July, I just need all the orders occurring after the 2nd Saturday in that July. So in this example, I need everything occurring from Sat July 9 2016 to today to be flagged as rollover_date = 2016.
Is there a flexible way to do this without hard coding previous/future rollover dates into another table? That's the only way I can think to solve it currently, but I'm sure there must be a better way.
Thanks!
If you ask for the day-of-the-week of July 1st, then from there it's simple arithmetic, right? This query gives results matching your image:
SELECT y,
CONCAT(y, '-07-01')::timestamp +
CONCAT(6 - EXTRACT(DOW FROM CONCAT(y, '-07-01')::timestamp) + 7, ' days')::interval
FROM generate_series(2013, 2020) s(y)
ORDER BY y DESC
;
So given any date d from year y, if it comes before the 2nd Saturday of July, give it fiscal year y - 1. Otherwise give it fiscal year (school year?) y.
I have the following table in Microsoft Access
TransactionDate
Market
Details
Opening
Closing
Size
Profit/Loss
I want to run a query that shows the Profit/Loss for each month.
I have been able get a query that returns the information in the following format
TransactionDate By Month Sum Of Sum Of Profit/Loss
April 2014 €1,084.99
April 2015 €674.33
April 2016 €2,057.30
August 2014 €237.59
August 2015 -€267.82
December 2014 €375.88
December 2015 -€1,161.97
February 2015 -€603.87
February 2016 -€124.71
January 2015 €75.11
January 2016 -€1,044.35
But what I want now is for it to display in chronological order as oppose to Alphabetical order.
For example
January 2014
February 2014
March 2014
etc.
I will consider that your TransactionDate field is defined as String
If you want to order by this text field in Access, you will have to use DateValue() function.
That would give:
SELECT TransactionDate FROM yourTable ORDER BY DateValue(TransactionDate)
If your field is already formatted as a Date field, then simply use order by TransactionDate to make it work.
I am using excel 2013 powerpivot which I have linked to a sql query. In this query I have all sales data from previous years and it updates itself with the current sales. I want to make a pivottable showing year to date sales from this year compared to the same period last year. So for example from Jan.1st 2015 until July 10th of 2015 compared to Jan.1st 2014 until July 10th 2014.
I linked my sales data table with a calendar table. But whatever I try, parallelperiod, sameperiodlastyear, totalytd, it always shows me the correct data for this year, but the full year sales of last year. Can anyone recommend me what to try?
thanks,
Frank
The TOTALYTD (and other time intelligence functions) will look for the highest date in whichever context you give it, so when you try to tell it to go back 12 months from now it thinks "OK, I'm in 2014" I'll get ALL the data from 2014 and calculate a TOTALYTD. So you have to ignore the built-in functions and build your own:
=CALCULATE(sum(Table1[sales]),DATESBETWEEN(DateDim[Date], FIRSTDATE(DATEADD(DateDim[Date],-12,MONTH)), LASTDATE(DATEADD(Table1[Date],-12,MONTH))))
So long as you have a slicer or a field on your table that picks up the year, then that should work.
Edit: Having tested with a data sample, again DAX is trying to be too clever and because I have told it to go back 12 MONTHS, it assumes I want ALL data from the month context which is including everything from July last year.
Going back 365 days fixes this (as long as it's not a problem for leap years).
=CALCULATE(sum(Table1[sales]),DATESBETWEEN(DateDim[Date], FIRSTDATE(DATEADD(DateDim[Date],-12,MONTH)), LASTDATE(DATEADD(Table1[Date],-365,DAY))))
I have tried your way, but it does not yet give me the correct answer. Let me show you what I have right now.
For current year sale I have the following Dax formula
=TOTALYTD(sum(Omzetgegevens[NettoOmzet]); Kalender[Calender date])
For the previous year sale I have:
=CALCULATE((SUM(Omzetgegevens[NettoOmzet])); SAMEPERIODLASTYEAR(DATESYTD(Kalender[Calender date])))
To test your solution I have called "test ytd":
=CALCULATE(SUM(Omzetgegevens[NettoOmzet]); DATESBETWEEN(Kalender[Calender date]; FIRSTDATE(DATEADD(Kalender[Calender date];-12; MONTH)); LASTDATE(DATEADD(Kalender[Calender date]; -365; DAY))))
If I run the pivottable now, the result I get is:
2015
current year ytd last year ytd test ytd
januari 28.912 34.487 34.487
februari 50.301 66.003 31.516
maart 73.362 92.647 26.644
april 99.561 117.853 25.205
mei 128.021 149.108 31.255
juni 149.706 174.076 24.968
juli 158.297 205.438 31.362
augustus 158.297 231.693 26.255
september 158.297 254.534 22.841
oktober 158.297 282.484 27.951
november 158.297 303.808 21.324
december 158.297 313.208 9.400
Total 158.297 313.208 313.208
What I would like to see is the following. As this report was run on the 14th of july 2015. I want to see all sales for 2015 until this date and all the sales for 2014 until july 14th 2014.
If it is not possible to see the months, I am also fine with only a total number for current ytd and last year ytd
2015
current year ytd last year ytd
januari 28.912 34.487
februari 50.301 66.003
maart 73.362 92.647
april 99.561 117.853
mei 128.021 149.108
juni 149.706 174.076
juli 158.297 175.312(so not full month of july in 2014)
Total 158.297 175.312
Recently had a similar issue. Current context confuse a lot and did not return the result we think should be returned. Play with DATEADD to go back and forth in combination with any of the date/time function. You will get the result and the context will also be clear.
I would like to get a running tally of how many widgets were/are rented at any one time, by month, by year. Data is held in an MS Access 2003 db;
Table name: rent_table
Fields:
rentid
startdate
enddate
rentfee
rentcost
bookingfee
Something like; Count number of rentid's that fall between month/year, then group them?
e.g. if a widget was rented from 5th Jan 2014 to 8th April 2014 it would appear as a count in Jan, Feb, Mar and April tally's.
Many thanks.
EDIT
More details (sorry);
Access db is fronted by classic ASP.
If possible I don't want to create any new tables.
No input is required in order to run the report.
There are around 350-400 widgets that could be rented at any one time.
Each widget is rented exclusively.
Report output example;
Month | Year | NumRented
Jan 2014 86
Feb 2014 113
...
Can a query pick up dates within dates? So literally do a count of the table where date >Dec 31st 2013 AND <1st Feb 2014 (to grab a count for all of January 2014) and would that include the example of the rent starting on the 5th Jan? So I could just do twelve counts for each year?
create a calendar table, e.g.
table = cal_yyyymm with one column dt_yyyymm as numeric field
populate the table with ... say 5 or 10 years of data
201401 201402 201403 ... 60 or 120 rows, a small table
make a sql
Select
dt_yyyymm,
count(*) as cnt
From cal_yyyymm
Left Join rent_table
On format(startdate,"yyyymm") >= dt_yyyymm
And dt_yyyymm >= format(enddate,"yyyymm")
think about the complications in the data -- --
widget was rented from 5th Jan 2014 to 8th Jan 2014
and again rented from 11th Jan 2014 to 21st Jan 2014
does this count at 1 or 2 in the month?
if it is 1, then the sql gets more complicated because
the rent_table first needs to have its dates converted
to yyyymm format, and second needs to be de-duped on rentid,
and third then joined to cal_ On the dates...