Please note javascript is required for full website functionality.
MVP

Blog

Power BI Blog: New Way of Expressing Date and DateTime Values

9 September 2021

Welcome back to this week’s edition of the Power BI blog series.  This week, we review a new way to express Date and DateTime values with the latest Power BI update.

 

Microsoft is introducing a new way to express Date and DateTime-typed values as what is known as a DAX literal.

This will allow you to directly specify dates and times (up to the second) in you DAX queries, without having to use other functions.  Starting with this latest release, Power BI now supports either a complete date value or a complete date and time value.  The syntax is as follows:

Date format: dt“YYYY-MM-DD”

For example, dt“1999-12-31″ would represent 31 December 1999. 

Furthermore, the DateTime format is as follows:

DateTime format: dt“YYYY-MM-DDThh:mm:ss”

or

DateTime format: dt“YYYY-MM-DD hh:mm:ss”

For examples, dt“2021-05-24T12:00:00″ and dt“2021-05-24 12:00:00″  would both represent noon on 24 May 2021.

It should be noted that in these instances, DAX supports valid date / time components with fewer digits than indicated for ease of use, e.g. January may be specified as either “1” or “01”.

To show how this makes things simpler, consider the following example, where in the past you may have filtered sales to within a specific order date range by using the following DAX code:

EVALUATE

FILTER (Sales, [OrderDate] > (DATE(2015,1,9) + TIME(2,30,0)) && [OrderDate] < (DATE(2015,12,31) + TIME(11,59,59)))

This now simplifies to

EVALUATE

FILTER (Sales, [OrderDate] > dt"2015-1-9T02:30:00" && [OrderDate] < dt"2015-12-31T11:59:59").

 

 

Check back next week for more Power BI tips and tricks!

 

Newsletter