Smaller units are not used, so values are not rounded. Used to determine the result and thus determines the precision of the result. ![]() month) used to calculate the difference determines which parts of the DATE, TIME, or TIMESTAMP field are For more details, including examples, see tochar (currentdate,'YYYYMMDD') '20220407' Similarly, to convert a string to date use the Redshift todate function. To convert a date to a string use the Redshift tochar function as below. This is perhaps unintuitive for example, if we pass DATEDIFF (year, ‘’, ‘’) the function will return one year, even though there’s only a single day difference. The default Redshift date format is YYYY-MM-DD. If date_or_time_part is week (or any of its variations), the output is controlled by the WEEK_START session parameter. The DATEDIFF function determines the number of date part boundaries crossed between two date/time expressions. The function supports units of years, quarters, months, weeks, days, hours, minutes, seconds, milliseconds, microseconds, and nanoseconds.ĭate_or_time_part must be one of the values listed in Supported Date and Time Parts. The following code snippet provides an e. The following code snippet provides an example of this behavior: SELECT datediff(DAYS, ''::DATE, ''::DATE) AS datediffintervaloutput, datediff('day', ''::DATE. ![]() The default column name for the DATEDIFF function is DATEDIFF. datediff() - Stack Overflow It appears that Redshift supports two possible functions for computing a time interval distance between two DATE-like objects: DATEDIFF() & datediff(). It appears that Redshift supports two possible functions for computing a time interval distance between two DATE-like objects: DATEDIFF()& datediff(). You can name date parts in full or abbreviate them. This example assumes that the current date is June 5, 2008. Output values can be negative, for example, -12 days.ĭate_or_time_expr1 and date_or_time_expr2 can be a date, time, or timestamp. The following example finds the difference, in number of quarters, between a literal value in the past and today's date.
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