to_date {SparkR} | R Documentation |
Converts the column into a DateType. You may optionally specify a format according to the rules in: http://docs.oracle.com/javase/tutorial/i18n/format/simpleDateFormat.html. If the string cannot be parsed according to the specified format (or default), the value of the column will be null. The default format is 'yyyy-MM-dd'.
to_date(x, format) ## S4 method for signature 'Column,missing' to_date(x, format) ## S4 method for signature 'Column,character' to_date(x, format)
x |
Column to parse. |
format |
string to use to parse x Column to DateType. (optional) |
to_date(Column) since 1.5.0
to_date(Column, character) since 2.2.0
Other datetime_funcs: add_months
,
date_add
, date_format
,
date_sub
, datediff
,
dayofmonth
, dayofyear
,
from_unixtime
,
from_utc_timestamp
, hour
,
last_day
, minute
,
months_between
, month
,
next_day
, quarter
,
second
, to_timestamp
,
to_utc_timestamp
,
unix_timestamp
, weekofyear
,
window
, year
Other datetime_funcs: add_months
,
date_add
, date_format
,
date_sub
, datediff
,
dayofmonth
, dayofyear
,
from_unixtime
,
from_utc_timestamp
, hour
,
last_day
, minute
,
months_between
, month
,
next_day
, quarter
,
second
, to_timestamp
,
to_utc_timestamp
,
unix_timestamp
, weekofyear
,
window
, year
## Not run:
##D to_date(df$c)
##D to_date(df$c, 'yyyy-MM-dd')
## End(Not run)