column_datetime_functions {SparkR} | R Documentation |
Date time functions defined for Column
.
current_date(x = "missing") current_timestamp(x = "missing") date_trunc(format, x) dayofmonth(x) dayofweek(x) dayofyear(x) from_unixtime(x, ...) hour(x) last_day(x) minute(x) month(x) quarter(x) second(x) to_date(x, format) to_timestamp(x, format) unix_timestamp(x, format) weekofyear(x) window(x, ...) year(x) ## S4 method for signature 'Column' dayofmonth(x) ## S4 method for signature 'Column' dayofweek(x) ## S4 method for signature 'Column' dayofyear(x) ## S4 method for signature 'Column' hour(x) ## S4 method for signature 'Column' last_day(x) ## S4 method for signature 'Column' minute(x) ## S4 method for signature 'Column' month(x) ## S4 method for signature 'Column' quarter(x) ## S4 method for signature 'Column' second(x) ## S4 method for signature 'Column,missing' to_date(x, format) ## S4 method for signature 'Column,character' to_date(x, format) ## S4 method for signature 'Column,missing' to_timestamp(x, format) ## S4 method for signature 'Column,character' to_timestamp(x, format) ## S4 method for signature 'Column' weekofyear(x) ## S4 method for signature 'Column' year(x) ## S4 method for signature 'Column' from_unixtime(x, format = "yyyy-MM-dd HH:mm:ss") ## S4 method for signature 'Column' window(x, windowDuration, slideDuration = NULL, startTime = NULL) ## S4 method for signature 'missing,missing' unix_timestamp(x, format) ## S4 method for signature 'Column,missing' unix_timestamp(x, format) ## S4 method for signature 'Column,character' unix_timestamp(x, format = "yyyy-MM-dd HH:mm:ss") ## S4 method for signature 'Column' trunc(x, format) ## S4 method for signature 'character,Column' date_trunc(format, x) ## S4 method for signature 'missing' current_date() ## S4 method for signature 'missing' current_timestamp()
x |
Column to compute on. In |
format |
The format for the given dates or timestamps in Column
|
... |
additional argument(s). |
windowDuration |
a string specifying the width of the window, e.g. '1 second', '1 day 12 hours', '2 minutes'. Valid interval strings are 'week', 'day', 'hour', 'minute', 'second', 'millisecond', 'microsecond'. Note that the duration is a fixed length of time, and does not vary over time according to a calendar. For example, '1 day' always means 86,400,000 milliseconds, not a calendar day. |
slideDuration |
a string specifying the sliding interval of the window. Same format as
|
startTime |
the offset with respect to 1970-01-01 00:00:00 UTC with which to start
window intervals. For example, in order to have hourly tumbling windows
that start 15 minutes past the hour, e.g. 12:15-13:15, 13:15-14:15... provide
|
dayofmonth
: Extracts the day of the month as an integer from a
given date/timestamp/string.
dayofweek
: Extracts the day of the week as an integer from a
given date/timestamp/string.
dayofyear
: Extracts the day of the year as an integer from a
given date/timestamp/string.
hour
: Extracts the hour as an integer from a given date/timestamp/string.
last_day
: Given a date column, returns the last day of the month which the
given date belongs to. For example, input "2015-07-27" returns "2015-07-31" since
July 31 is the last day of the month in July 2015.
minute
: Extracts the minute as an integer from a given date/timestamp/string.
month
: Extracts the month as an integer from a given date/timestamp/string.
quarter
: Extracts the quarter as an integer from a given date/timestamp/string.
second
: Extracts the second as an integer from a given date/timestamp/string.
to_date
: Converts the column into a DateType. You may optionally specify
a format according to the rules in:
Datetime Pattern
If the string cannot be parsed according to the specified format (or default),
the value of the column will be null.
By default, it follows casting rules to a DateType if the format is omitted
(equivalent to cast(df$x, "date")
).
to_timestamp
: Converts the column into a TimestampType. You may optionally specify
a format according to the rules in:
Datetime Pattern
If the string cannot be parsed according to the specified format (or default),
the value of the column will be null.
By default, it follows casting rules to a TimestampType if the format is omitted
(equivalent to cast(df$x, "timestamp")
).
weekofyear
: Extracts the week number as an integer from a given date/timestamp/string.
year
: Extracts the year as an integer from a given date/timestamp/string.
from_unixtime
: Converts the number of seconds from unix epoch (1970-01-01 00:00:00 UTC)
to a string representing the timestamp of that moment in the current system time zone in the JVM
in the given format.
See
Datetime Pattern for available options.
window
: Bucketizes rows into one or more time windows given a timestamp specifying column.
Window starts are inclusive but the window ends are exclusive, e.g. 12:05 will be in the window
[12:05,12:10) but not in [12:00,12:05). Windows can support microsecond precision. Windows in
the order of months are not supported. It returns an output column of struct called 'window'
by default with the nested columns 'start' and 'end'
unix_timestamp
: Gets current Unix timestamp in seconds.
trunc
: Returns date truncated to the unit specified by the format.
date_trunc
: Returns timestamp truncated to the unit specified by the format.
current_date
: Returns the current date as a date column.
current_timestamp
: Returns the current timestamp as a timestamp column.
dayofmonth since 1.5.0
dayofweek since 2.3.0
dayofyear since 1.5.0
hour since 1.5.0
last_day since 1.5.0
minute since 1.5.0
month since 1.5.0
quarter since 1.5.0
second since 1.5.0
to_date(Column) since 1.5.0
to_date(Column, character) since 2.2.0
to_timestamp(Column) since 2.2.0
to_timestamp(Column, character) since 2.2.0
weekofyear since 1.5.0
year since 1.5.0
from_unixtime since 1.5.0
window since 2.0.0
unix_timestamp since 1.5.0
unix_timestamp(Column) since 1.5.0
unix_timestamp(Column, character) since 1.5.0
trunc since 2.3.0
date_trunc since 2.3.0
current_date since 2.3.0
current_timestamp since 2.3.0
Other data time functions:
column_datetime_diff_functions
## Not run:
##D dts <- c("2005-01-02 18:47:22",
##D "2005-12-24 16:30:58",
##D "2005-10-28 07:30:05",
##D "2005-12-28 07:01:05",
##D "2006-01-24 00:01:10")
##D y <- c(2.0, 2.2, 3.4, 2.5, 1.8)
##D df <- createDataFrame(data.frame(time = as.POSIXct(dts), y = y))
## End(Not run)
## Not run:
##D head(select(df, df$time, year(df$time), quarter(df$time), month(df$time),
##D dayofmonth(df$time), dayofweek(df$time), dayofyear(df$time), weekofyear(df$time)))
##D head(agg(groupBy(df, year(df$time)), count(df$y), avg(df$y)))
##D head(agg(groupBy(df, month(df$time)), avg(df$y)))
## End(Not run)
## Not run:
##D head(select(df, hour(df$time), minute(df$time), second(df$time)))
##D head(agg(groupBy(df, dayofmonth(df$time)), avg(df$y)))
##D head(agg(groupBy(df, hour(df$time)), avg(df$y)))
##D head(agg(groupBy(df, minute(df$time)), avg(df$y)))
## End(Not run)
## Not run:
##D head(select(df, df$time, last_day(df$time), month(df$time)))
## End(Not run)
## Not run:
##D tmp <- createDataFrame(data.frame(time_string = dts))
##D tmp2 <- mutate(tmp, date1 = to_date(tmp$time_string),
##D date2 = to_date(tmp$time_string, "yyyy-MM-dd"),
##D date3 = date_format(tmp$time_string, "MM/dd/yyy"),
##D time1 = to_timestamp(tmp$time_string),
##D time2 = to_timestamp(tmp$time_string, "yyyy-MM-dd"))
##D head(tmp2)
## End(Not run)
## Not run:
##D tmp <- mutate(df, to_unix = unix_timestamp(df$time),
##D to_unix2 = unix_timestamp(df$time, 'yyyy-MM-dd HH'),
##D from_unix = from_unixtime(unix_timestamp(df$time)),
##D from_unix2 = from_unixtime(unix_timestamp(df$time), 'yyyy-MM-dd HH:mm'))
##D head(tmp)
## End(Not run)
## Not run:
##D # One minute windows every 15 seconds 10 seconds after the minute, e.g. 09:00:10-09:01:10,
##D # 09:00:25-09:01:25, 09:00:40-09:01:40, ...
##D window(df$time, "1 minute", "15 seconds", "10 seconds")
##D
##D # One minute tumbling windows 15 seconds after the minute, e.g. 09:00:15-09:01:15,
##D # 09:01:15-09:02:15...
##D window(df$time, "1 minute", startTime = "15 seconds")
##D
##D # Thirty-second windows every 10 seconds, e.g. 09:00:00-09:00:30, 09:00:10-09:00:40, ...
##D window(df$time, "30 seconds", "10 seconds")
## End(Not run)
## Not run:
##D head(select(df, df$time, trunc(df$time, "year"), trunc(df$time, "yy"),
##D trunc(df$time, "month"), trunc(df$time, "mon")))
## End(Not run)
## Not run:
##D head(select(df, df$time, date_trunc("hour", df$time), date_trunc("minute", df$time),
##D date_trunc("week", df$time), date_trunc("quarter", df$time)))
## End(Not run)
## Not run:
##D head(select(df, current_date(), current_timestamp()))
## End(Not run)