#Datediff redshift code#

DAY, MONTH, SECOND) or a string literal ( 'day', 'month', 'second'), but date_diff() only accepts string literal interval representations. of birth as varchar YYYYMMDD in Amazon Redshift SQL using CAST, DATEDIFF, and/or GETDATE if necessary. Why would it work on some pairs of dates and not on others The Calculated Column is defined in DAX as MCHistDelta IF(facts. This image, which is part ofthe same table, shows me accurate values. So, your query should be: select email, createddate, lastloggedin, datediff (minute, createddate, lastloggedin) from udb.user where createddate > and createddate <.

For some reason it returns me negative numbers. If the second date or time is earlier than the first date or time, the result is negative. A curious difference between the two functions is that DATEDIFF will accept either a raw interval for its first argument (e.g. This image shows an issue with datediff().

, date_diff('day', ''::DATE, ''::DATE) AS date_diff_outputĪWS provides documentation on DATEDIFF(), however no record of date_diff() appears to exist within either Redshift or PostgreSQL documentation. , datediff('day', ''::DATE, ''::DATE) AS datediff_str_literal_output

#Datediff redshift code#

The following code snippet provides an example of this behavior: SELECT datediff(DAYS, ''::DATE, ''::DATE) AS datediff_interval_output In this case, we end up with a terrible user experience and hard to debug problems (I bet that exceeded connection limit is not going to be the first possible cause we will look at while debugging). It appears that Redshift supports two possible functions for computing a time interval distance between two DATE-like objects: DATEDIFF() & date_diff(). If we use Redshift as a data source of a user-facing application, we can easily exceed that limit.