![]() The function will return the timestamp value. ![]() There are mainly two parameters which we have passing with the date_trunc function, i.e. If we truncate the part of date like microseconds, milliseconds, second, minute, hour, day, week, month, quarter, year, decade, century, a millennium from the specific date, then we need to pass the particular parameter in the first argument using date_trunc function in redshift. If we want to truncate the timestamp value from minute, then we need to pass the minute argument with the date_trunc function. We can also use the date_trunc function with a group by and order by clauses to retrieve the data as per order or per clause, we used in our query. To use the date_trunc function, we need the data type of column as date type format. SELECT date_trunc ('year', salesid) from sales group by date_trunc ('year', salesid) So at the time of executing the below query, it will issue the error that the function will not be matching the argument types. In the below example, we have used column name as salesid this column contains the data type as integer. The below example shows that to use the date_trunc function, we need data type of column as date type format. ![]() We cannot use the date_trunc function on a string or numeric data type columns. We can specify the date part as a date type column name or weeks, months, year, day, seconds, minute. To use the date_trunc function in redshift, it will require the date part. Using the function, we can truncate the hour, weeks, months, year, day, seconds, minute etc. interval: This parameter is nothing but the interval argument, which was we have to pass with the date_trunc function in redshift.īelow is the field or interval argument of precision, which was used to truncate the date using the date_trunc function in redshift.īasically, we can say that the function will work on only the date type column or value.This parameter is also converting the expression into the timestamp format. ![]()
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