![]() This can be calculated as Current date – DUE_DATE. The above table consists of the data about the customers whose due date is pending. Now let us see how the DateDiff works on the table columns. Here the output of the DateDiff has been specified in the day difference between the dates. Here first argument is ‘Day’ which means datediff will calculate the day difference between the current date and the mentioned date and returns the output. Here we have mentioned the in-built function in the statement. Here now let us use the CURENT_DATE Function and try to get the Day difference.ĭATEDIFF('day', current_date, ' 11:00:00' Using CURRENT_DATE function in the DATEDIFF () Function It returns -732 hours has the difference between the above two dates. The starting date argument datepart has been mentioned as the hour by which the datediff function will calculate the hour difference between those two dates. Here in the above query, it returns the hour difference between the two mentioned date. It returns -30 even in the above DateDiff statement. The starting datepart argument based on which the difference is calculated. Here in the above query, it returns the day difference between the two dates. Here only the quater difference will be displayed. Here in the above query, it returns the quarter difference between the dates. Now let us see how the DateDiff works in the Redshift. Here above syntax is used to find the difference between specified column dates. It does not store any personal data.SELECT DATEDIFF (‘datepart’,, ) FROM TABLE_NAME The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. The cookie is used to store the user consent for the cookies in the category "Performance". This cookie is set by GDPR Cookie Consent plugin. ![]() The cookie is used to store the user consent for the cookies in the category "Other. The cookies is used to store the user consent for the cookies in the category "Necessary". The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". The cookie is used to store the user consent for the cookies in the category "Analytics". These cookies ensure basic functionalities and security features of the website, anonymously. Necessary cookies are absolutely essential for the website to function properly. Note, you have to specify the datepart without quotes as listed in the syntax column. The table below lists the most commonly used datepart formats for the Redshift datediff function. The difference in dates returned depends on the value provided to datepart as shown below. Rather, it returns the difference between the dates specified by datepart.įor example, if date1 equals 2022-July-04 and date2 equals 2021-July-04, you would expect a difference of one year when you use the datediff function.
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