![]() Why doesn't Power BI do the same when importing the data?ĮDIT: A colleague of mine has noticed similar issues in Excel, so it doesn't appear to be just a Power BI issue. What I have written is : datediff minute,paymenttime,triggertime) < 15 I basically want the count of users who paid within 15 mins of the triggered time thus I have also done count (s.userid) as count However it returns count as 1 even in the above. ![]() Just subtract the two dates: Question.LoggedTime - MIN (qUpdate. DBeaver correctly handles all of these methods. I am using the DATEDIFF function to calculate the difference between my two timestamps. 4 Answers Sorted by: 12 You don't need a 'datediff' function. Flooring the date (date_trunc method) returns the raw value, including the 8:00 PM time - Boo! Casting the date value to a DATE rounds the date to 12:00:00 AM - Boo! The PostgreSQL logic to extract the month returns April, as if it's rounding up - Boo! 551k 99 99 gold badges 880 880 silver badges 926 926 bronze badges. The raw date comes in correctly ( 8:00:00 PM) - Yay! However, in Power BI (using the Import method): Extracting the month value also gives me March. In DBeaver, the date matches user entry values in the front end application. How can I do this There's questions and answers about using EXTRACT and EPOCH, but this seems to be at the 'second' level, and that is not granular enough for my purposes. From that date, I want to extract the month value, which would be "3", or "March". Lets say I have a date of " 20:00:00" (so 8pm on ). The application sits on top of a PostgreSQL database, which I'm able to connect to Power BI. The name of the SQL output format is a historical accident. (The SQL standard requires the use of the ISO 8601 format. The following page shows the most commonly used PostgreSQL date functions that allow you to manipulate date and time values effectively. SELECT UserName, MAX ( LoginDateTime) AS LoginDateTime, (DATEDIFF (DAY, MAX ( LoginDateTime), GETDATE ())) as datediff FROM Login GROUP BY UserName. We have a front-end client where our users enter dates in a datetime format. The output format of the date/time types can be set to one of the four styles ISO 8601, SQL (Ingres), traditional POSTGRES (Unix date format), or German. Try this, if you want to get the latest login for each user.
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