Checking the docs for Amazon Redshift shows this: DATEDIFF ( datepart, )Äatepart: The specific part of the date or time value (year, month, or day, hour, minute, second, millisecond, or microsecond) that the function operates on. Pay particular attention to the words datepart boundaries crossed. Specifically, DATEDIFF determines the number of date part boundaries that are crossed between two expressions.For more information, see Date parts for date or timestamp functions. The Actual Definition of DATEDIFF () The reason we get the results we do is because the DATEDIFF () function is defined as follows: This function returns the count (as a signed integer value) of the specified datepart boundaries crossed between the specified startdate and enddate. For example, the dateadd () is one of the functions provided by Redshift. Basically, the dateadd () function is used to return the new date-time values by adding the required date and timestamp, or we can say the specified date and timestamp as per user requirement.įor example, suppose that you're calculating the difference in years between two dates, 12-31-2008 and 01-01-2009. In other words, we can say the dateadd () function is used to return the. In this case, the function returns 1 year despite the fact that these dates are only one day apart. If you are finding the difference in hours between two timestamps, 01-01-2009 8:30:00 and 01-01-2009 10:00:00, the result is 2 hours. If you are finding the difference in hours between two timestamps, 8:30:00 and 10:00:00, the result is 2 hours.Äate|time|timetz|timestamp: A DATE, TIME, TIMETZ, or TIMESTAMP column or expressions that implicitly convert to a DATE, TIME, TIMETZ, or TIMESTAMP. Use the TIMESTAMPTZ data type to input complete timestamp values that include the date, the time of day, and a time zone. The syntax for using the DATEDIFF function in Snowflake and Amazon Redshift, and Databricks looks like the following: datediff(, , ) A note on Databricks: Databricks additionally supports a separate DATEDIFF function that takes only two arguments: a start date and an end date.The expressions must both contain the specified date or time part. When an input value includes a time zone, Amazon Redshift uses the time zone to convert the value to UTC and stores the UTC value. To view a list of supported time zone names, run the following command. If the second date or time is later than the first date or time, the result is positive. If the second date or time is earlier than the first date or time, the result is negative.
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