I want to schedule a CloudWatch event to run every other Monday and have started with this command:
0 14 ? * 2 *
Currently with the above command, I get a weekly schedule of Monday executions:
Mon, 27 Jul 2020 14:00:00 GMT
Mon, 03 Aug 2020 14:00:00 GMT
Mon, 10 Aug 2020 14:00:00 GMT
Mon, 17 Aug 2020 14:00:00 GMT
Mon, 24 Aug 2020 14:00:00 GMT
Mon, 31 Aug 2020 14:00:00 GMT
Mon, 07 Sep 2020 14:00:00 GMT
Mon, 14 Sep 2020 14:00:00 GMT
Mon, 21 Sep 2020 14:00:00 GMT
Mon, 28 Sep 2020 14:00:00 GMT
However, I would like the schedule to be set to every other Monday, e.g.
Mon, 27 Jul 2020 14:00:00 GMT
Mon, 10 Aug 2020 14:00:00 GMT
Mon, 24 Aug 2020 14:00:00 GMT
Mon, 07 Sep 2020 14:00:00 GMT
Mon, 21 Sep 2020 14:00:00 GMT
I have seen examples with exp and # being used, but I don't think AWS CloudWatch events accept these sort of parameters.
Chris' answer is correct. Currently, there is no way that I could think of to express this as part of CloudWatch Scheduled Events.
However, a workaround could be to set it to every Monday (0 14 ? * 2 *) and trigger a Lambda function that checks whether it's in the on-week or the off-week before triggering the actual target.
Even though this adds some complexity, it would be a viable solution.
You won't be able to do any of the fancier commands (especially those using variables from the command line).
You could do this very basically but would require 2 separate events in order to carry it out:
0 14 ? * 2#1 * - Run on the first Monday of the month.
0 14 ? * 2#3 * - Run on the third Monday of the month.
Unfortunately there is no compatible syntax for scheduled expressions that would allow the concept of every other week, so the above commands occasionally could lead to a 3 week gap.
If you don't care about the Monday you could of course use 0 14 1,15 * * to run on the 1st and 15th of each month (roughly every 2 weeks).
The final option would be to run every Monday, but have the script exit if it is not the every other week, the expression would then just be 0 14 ? * 2 *.
More information about the syntax is available on the Cron Expressions section of the Scheduled Events page.
Related
Dear stackoverflow, please help!
I'm hoping for some assistance with data processing in Power BI, either using Power Query or DAX. At this point I am really stuck and can't figure out how to solve this problem.
The below table is a list of sales by Product, Month, and Year. The problem with my data is that the value in the sales data is actually cumulative, rather than the raw figure of sales for that month. In other words, the figure is the sum of the number of sales for the month (for that Year and Product combination) and the number of sales for the preceding month. As you will see in the table below, the number gets progressively larger in each category as the year progresses. The true number of sales for TVs in Feb of 2021, for example, is the sales figure of 3 minus the corresponding figure for sales of TVs in Jan of 2021 (1).
I really would appreciate if anyone knows of a solution to this problem. In reality, my table has hundreds of thousands of rows, so I cannot do the calculations manually.
Is there a way to use Power Query or DAX to create a calculated column with the Raw Sales figure for each month? Something that would check if Product and Year are equal, then subtract the Jan figure from the Feb figure and so on?
Any help will be very much appreciated,
Sales Table
Product
Sales (YTD)
Month
Year
TV
1
Jan
2021
Radio
4
Jan
2021
Cooker
5
Jan
2021
TV
3
Feb
2021
Radio
5
Feb
2021
Cooker
6
Feb
2021
TV
3
Mar
2021
Radio
6
Mar
2021
Cooker
8
Mar
2021
TV
5
Apr
2021
Radio
7
Apr
2021
Cooker
8
Apr
2021
TV
7
May
2021
Radio
8
May
2021
Cooker
8
May
2021
TV
9
Jun
2021
Radio
10
Jun
2021
Cooker
10
Jun
2021
TV
10
Jul
2021
Radio
10
Jul
2021
Cooker
10
Jul
2021
TV
11
Aug
2021
Radio
13
Aug
2021
Cooker
12
Aug
2021
TV
11
Sep
2021
Radio
13
Sep
2021
Cooker
12
Sep
2021
TV
12
Oct
2021
Radio
14
Oct
2021
Cooker
13
Oct
2021
TV
17
Nov
2021
Radio
19
Nov
2021
Cooker
17
Nov
2021
TV
19
Dec
2021
Radio
20
Dec
2021
Cooker
20
Dec
2021
TV
4
Jan
2022
Radio
2
Jan
2022
Cooker
3
Jan
2022
TV
5
Feb
2022
Radio
3
Feb
2022
Cooker
5
Feb
2022
Thanks, Jim
Give this a try in powerquery / M. It groups on Product and Year, then sorts the months, and subtracts each row from the next row to determine the period amount.
let Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
#"Grouped Rows" = Table.Group(Source, {"Product", "Year"}, {
{"data", each
let r=Table.Sort(Table.AddIndexColumn(_, "Index", 0, 1),{ each List.PositionOf({"Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"}, [Month]), {"Month",Order.Ascending}}),
x= Table.AddColumn( r, "Period Sales", each if [Index]=0 then [#"Sales (YTD)"] else [#"Sales (YTD)"]-r{[Index]-1}[#"Sales (YTD)"])
in x
, type table }
}),
#"Expanded data" = Table.ExpandTableColumn(#"Grouped Rows", "data", {"Sales (YTD)", "Month", "Period Sales"}, {"Sales (YTD)", "Month", "Period Sales"})
in #"Expanded data"
There are many method of having a measure to show percentage in a column of table ,
but cannot find a method to always show the ratio of a SPECIFIC group in percentage between two category.
data sample:
YEAR MONTH TYPE AMOUNT
2020 Jan A 100
2020 Feb A 250
2020 Mar A 230
2020 Jan B 158
2020 Feb B 23
2020 Mar B 46
2019 Jan A 499
2019 Feb A 65
2019 Mar A 289
2019 Jan B 465
2019 Feb B 49
2019 Mar B 446
2018 Jan A 13
2018 Feb A 97
2018 Mar A 26
2018 Jan B 216
2018 Feb B 264
2018 Mar B 29
2018 Jan A 314
2018 Feb A 659
2018 Mar A 226
2018 Jan B 469
2018 Feb B 564
2018 Mar B 164
My Goal is always show the percentage of A compare with the total amount
YEAR and MONTH are used to synchronize with slicer.
e.g. I select YEAR = 2020 , MONTH = Jan
100/258 = 38%
Manually inputted in textbox
First, Create these following 3 measures in your table-
1.
amount_A =
CALCULATE(
SUM(pie_chart_data[AMOUNT]),
FILTER(
ALLSELECTED(pie_chart_data),
pie_chart_data[TYPE] = "A"
)
)
2.
amount_overall =
CALCULATE(
SUM(pie_chart_data[AMOUNT]),
ALLSELECTED(pie_chart_data)
)
3.
amount_A_percentage = [amount_A]/[amount_overall]
Now, add both measure amount_A and amount_overall to your donut chart's values column. And place the amount_A_percentage measure to a Card and place the card in center of the Donut chart. The presentation will be as below finally-
I have an Orders fact table and a connected Date dimension.
I'd like to create a running total measure by year and month, but for the current year I only want it to total up to the current date and then be blank afterwards. I'll be turning it into a bar graph and I don't want the plateau that will happen as it calculates each month that hasn't happened yet as the current YTD value.
I'm coming from a SQL background where this would be an easy task, but seems difficult in power bi/dax.
I'm currently working with the following dax:
SalesRT_NEW =
IF (
MONTH ( TODAY () ) <= MAX ( DimDate[Date] ),
TOTALYTD ( SUM ( 'FactOrderDetails(3yr)'[LineTotal] ), DimDate[Date] ),
BLANK ()
)
Output (as table for testing) is (starting from June for brevities sake):
YEAR Month SalesRT
2017 Jun 1500
2018 Jun 1750
2019 Jun 1900
2017 Jul 1650
2018 Jul 1858
2019 Jul 2050
2017 Aug 1800
2018 Aug 1965
2019 Aug 2050
Desired output:
YEAR Month SalesRT
2017 Jun 1500
2018 Jun 1750
2019 Jun 1900
2017 Jul 1650
2018 Jul 1858
2019 Jul 2050
2017 Aug 1800
2018 Aug 1965
2019 Aug
Got the answer:
IF(MAX(DimDate[Date]) <= today() || MONTH(MAX(DimDate[Date])) = Month(today()),TOTALYTD([SalesTotal], DimDate[Date]), BLANK())
I need to match carriage-returns in blocks of text between a pre-determined tag and an indeterminate tag.
In this case, the bounding tags are:
Pre-determined: X-Gmail-Labels:
Indeterminate: (?:^[\w\-]+:) eg: Delivered-To: or ABC123:
Thanks to Wiktor Stribiżew for his answer to this thread, I have a rough idea of the solution I should pursue.
I am unsure of how to apply what I believe is needed: an uncaptured lookahead group for the bounding indeterminate tag.
Plainly stated, I'd like to delete all the carriage-returns in the text associated with the X-Gmail-Labels:. If I can match them, I can delete them!
Initial attempted regex:
(?:\bX-Gmail-Labels:|(?!^)\G)[^\r]*\K\r
Sample data:
From 1604610346950104244#xxx Fri Jun 29 12:34:35 +0000 2018
X-GM-THRID: 1604610346950104244
X-Gmail-Labels: Archived thing,Unread
Delivered-To: joe.schmoe#gmail.com
Received: by 2002:a9f:3005:0:0:0:0:0 with SMTP id h5-v6csp731836uab;
Fri, 29 Jun 2018 05:34:36 -0700 (PDT)
From 1604610346950104244#xxx Fri Jun 29 12:34:35 +0000 2018
X-GM-THRID: 1604610346950104244
X-Gmail-Labels: Also Archived
Day-of-week: Tuesday
Received: by 2002:a9f:3005:0:0:0:0:0 with SMTP id h5-v6csp731836uab;
Fri, 29 Jun 2018 05:34:36 -0700 (PDT)
From 1604610346950104244#xxx Fri Jun 29 12:34:35 +0000 2018
X-GM-THRID: 1604610346950104244
X-Gmail-Labels: Archived
thing,
Unread
Favorite-fruit: bananas
Received: by 2002:a9f:3005:0:0:0:0:0 with SMTP id h5-v6csp731836uab;
Fri, 29 Jun 2018 05:34:36 -0700 (PDT)
From 1604610346950104244#xxx Fri Jun 29 12:34:35 +0000 2018
X-GM-THRID: 1604610346950104244
X-Gmail-Labels: Archived
,Read
ABC123: DoReMe
Received: by 2002:a9f:3005:0:0:0:0:0 with SMTP id h5-v6csp731836uab;
Fri, 29 Jun 2018 05:34:36 -0700 (PDT)
From 1604610346950104244#xxx Fri Jun 29 12:34:35 +0000 2018
X-GM-THRID: 1604610346950104244
X-Gmail-Labels: Archived
thing,Unread
emais
Received: by 2002:a9f:3005:0:0:0:0:0 with SMTP id h5-v6csp731836uab;
Fri, 29 Jun 2018 05:34:36 -0700 (PDT)
(?:^[\w\-]+:)
Above regex applied to data showing indeterminate tag pattern.
(?:\bX-Gmail-Labels:\G)[^\r]*\K\r
Above regex applied to data showing un-end-bounded matches.
Thanks!
-Fitz
I'm writing a code where I use only boost libraries as prerequisites.
I need a class to handle datetime values and operations (add and subtract years, months, hours, etc.), so I picked the gregorian date as an option.
But, when I handle days in leap years, some surprises appear. There is a piece of an example code:
int main()
{
boost::gregorian::date d1(2000,1,1);
boost::gregorian::days ds(118);
boost::gregorian::date d2 = d1 + ds;
std::cout << boost::gregorian::to_iso_extended_string(d1) << std::endl;
std::cout << boost::gregorian::to_iso_extended_string(d2) << std::endl;
return 0;
}
Output:
2000-01-01
2000-04-28 (should be 2000-04-27)
Is there an option for this issue? In the manual page, the boost warning about "lead to unexpected results..."
I think it's correct as it is:
for a in {1..118}; do echo -n "+$a days: "; date --rfc-2822 -d"2000-01-01 +$a days"; done
prints
shows I see no anomalies around the leap date:
+1 days: Sun, 02 Jan 2000 00:00:00 +0100
+2 days: Mon, 03 Jan 2000 00:00:00 +0100
...
+57 days: Sun, 27 Feb 2000 00:00:00 +0100
+58 days: Mon, 28 Feb 2000 00:00:00 +0100
+59 days: Tue, 29 Feb 2000 00:00:00 +0100
+60 days: Wed, 01 Mar 2000 00:00:00 +0100
...
+116 days: Wed, 26 Apr 2000 00:00:00 +0200
+117 days: Thu, 27 Apr 2000 00:00:00 +0200
+118 days: Fri, 28 Apr 2000 00:00:00 +0200