‘month’, ‘mon’, ‘mm’ to truncate by month, ‘month’, ‘mon’, ‘mm’ to truncate by month date_trunc(format: String, timestamp: Column): Column Returns timestamp truncated to the unit specified by the format.įor example, date_trunc("year", " 12:01:19") returns 00:00:00 trunc(date: Column, format: String): Column Returns date truncated to the unit specified by the format.įor example, trunc(" 12:01:19", "year") returns įormat: ‘year’, ‘yyyy’, ‘yy’ to truncate by year, next_day(date: Column, dayOfWeek: String): Column Returns the first date which is later than the value of the date column that is on the specified day of the week.įor example, next_day('', "Sunday") returns because that is the first Sunday after. If roundOff is set to true, the result is rounded off to 8 digits it is not rounded otherwise. months_between(end: Column, start: Column, roundOff: Boolean): Column Returns number of months between dates end and start. Otherwise, the difference is calculated assuming 31 days per month. A whole number is returned if both inputs have the same day of month or both are the last day of their respective months. months_between(end: Column, start: Column): Column Returns number of months between dates start and end. date_add(start: Column, days: Int): Columnĭate_sub(start: Column, days: Int): Column Returns the date that is days days after start datediff(end: Column, start: Column): Column Returns the number of days from start to end. to_date(e: Column, fmt: String): Column Converts the column into a DateType with a specified format add_months(startDate: Column, numMonths: Int): Column Returns the date that is numMonths after startDate. to_date(e: Column): Column Converts the column into DateType by casting rules to DateType. date_format(dateExpr: Column, format: String): Column Converts a date/timestamp/string to a value of string in the format specified by the date format given by the second argument. Date Function Signature Date Function Description current_date () : Column Returns the current date as a date column. Val spark:SparkSession = SparkSession.builder()Īutomatic DateTime Fields in Django | Django Tips#4 Spark SQL Date FunctionsĬlick on each link from below table for more explanation and working examples in Scala. If your application is critical on performance try to avoid using custom UDF at all costs as these are not guarantee performance.įor the readable purpose, I’ve grouped Date and Timestamp functions into the following.īefore you use any examples below, make sure you create sparksession and import SQL functions. When possible try to leverage standard library as they are a little bit more compile-time safe, handles null, and perform better when compared to Spark UDF. If a String, it should be in a format that can be cast to date, such as yyyy-MM-dd and timestamp in yyyy-MM-dd HH:mm:ss.SSSS and returns date and timestamp respectively also returns null if the input data was a string that could not be cast to date and timestamp. All these accept input as, Date type, Timestamp type or String. Spark SQL provides built-in standard Date and Timestamp (includes date and time) Functions defines in DataFrame API, these come in handy when we need to make operations on date and time.
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