The arrow
package contains methods for 37 dplyr
table functions, many of
which are "verbs" that do transformations to one or more tables.
The package also has mappings of 211 R functions to the corresponding
functions in the Arrow compute library. These allow you to write code inside
of dplyr
methods that call R functions, including many in packages like
stringr
and lubridate
, and they will get translated to Arrow and run
on the Arrow query engine (Acero). This document lists all of the mapped
functions.
dplyr
verbs
Most verb functions return an arrow_dplyr_query
object, similar in spirit
to a dbplyr::tbl_lazy
. This means that the verbs do not eagerly evaluate
the query on the data. To run the query, call either compute()
,
which returns an arrow
Table, or collect()
, which pulls the resulting
Table into an R data.frame
.
anti_join()
: thecopy
andna_matches
arguments are ignoreddistinct()
:.keep_all = TRUE
not supportedfull_join()
: thecopy
andna_matches
arguments are ignoredinner_join()
: thecopy
andna_matches
arguments are ignoredleft_join()
: thecopy
andna_matches
arguments are ignoredmutate()
: window functions (e.g. things that require aggregation within groups) not currently supportedpull()
: thename
argument is not supported; returns an R vector by default but this behavior is deprecated and will return an Arrow ChunkedArray in a future release. Provideas_vector = TRUE/FALSE
to control this behavior, or setoptions(arrow.pull_as_vector)
globally.right_join()
: thecopy
andna_matches
arguments are ignoredsemi_join()
: thecopy
andna_matches
arguments are ignoredslice_head()
: slicing within groups not supported; Arrow datasets do not have row order, so head is non-deterministic;prop
only supported on queries wherenrow()
is knowable without evaluatingslice_max()
: slicing within groups not supported;with_ties = TRUE
(dplyr default) is not supported;prop
only supported on queries wherenrow()
is knowable without evaluatingslice_min()
: slicing within groups not supported;with_ties = TRUE
(dplyr default) is not supported;prop
only supported on queries wherenrow()
is knowable without evaluatingslice_sample()
: slicing within groups not supported;replace = TRUE
and theweight_by
argument not supported;n
only supported on queries wherenrow()
is knowable without evaluatingslice_tail()
: slicing within groups not supported; Arrow datasets do not have row order, so tail is non-deterministic;prop
only supported on queries wherenrow()
is knowable without evaluatingsummarise()
: window functions not currently supported; arguments.drop = FALSE
and `.groups = "rowwise" not supported
Function mappings
In the list below, any differences in behavior or support between Acero and the R function are listed. If no notes follow the function name, then you can assume that the function works in Acero just as it does in R.
Functions can be called either as pkg::fun()
or just fun()
, i.e. both
str_sub()
and stringr::str_sub()
work.
In addition to these functions, you can call any of Arrow's 246 compute
functions directly. Arrow has many functions that don't map to an existing R
function. In other cases where there is an R function mapping, you can still
call the Arrow function directly if you don't want the adaptations that the R
mapping has that make Acero behave like R. These functions are listed in the
C++ documentation, and
in the function registry in R, they are named with an arrow_
prefix, such
as arrow_ascii_is_decimal
.
base
as.Date()
: MultipletryFormats
not supported in Arrow. Consider using the lubridate specialised parsing functionsymd()
,ymd()
, etc.as.difftime()
: only supportsunits = "secs"
(the default)data.frame()
:row.names
andcheck.rows
arguments not supported;stringsAsFactors
must beFALSE
difftime()
: only supportsunits = "secs"
(the default);tz
argument not supportednchar()
:allowNA = TRUE
andkeepNA = TRUE
not supportedpaste()
: thecollapse
argument is not yet supportedpaste0()
: thecollapse
argument is not yet supportedstrptime()
: accepts aunit
argument not present in thebase
function. Valid values are "s", "ms" (default), "us", "ns".substr()
:start
andstop
must be length 1
lubridate
dmy()
:locale
argument not supporteddmy_h()
:locale
argument not supporteddmy_hm()
:locale
argument not supporteddmy_hms()
:locale
argument not supporteddpicoseconds()
: not supporteddym()
:locale
argument not supportedfast_strptime()
: non-default values oflt
andcutoff_2000
not supportedforce_tz()
: Timezone conversion from non-UTC timezone not supported;roll_dst
values of 'error' and 'boundary' are supported for nonexistent times,roll_dst
values of 'error', 'pre', and 'post' are supported for ambiguous times.is.Date()
is.POSIXct()
make_datetime()
: only supports UTC (default) timezonemake_difftime()
: only supportsunits = "secs"
(the default); providing bothnum
and...
is not supportedmdy()
:locale
argument not supportedmdy_h()
:locale
argument not supportedmdy_hm()
:locale
argument not supportedmdy_hms()
:locale
argument not supportedmy()
:locale
argument not supportedmyd()
:locale
argument not supportedparse_date_time()
:quiet = FALSE
is not supported Available formats are H, I, j, M, S, U, w, W, y, Y, R, T. On Linux and OS X additionally a, A, b, B, Om, p, r are available.ydm()
:locale
argument not supportedydm_h()
:locale
argument not supportedydm_hm()
:locale
argument not supportedydm_hms()
:locale
argument not supportedym()
:locale
argument not supportedymd()
:locale
argument not supportedymd_h()
:locale
argument not supportedymd_hm()
:locale
argument not supportedymd_hms()
:locale
argument not supportedyq()
:locale
argument not supported
stats
median()
: approximate median (t-digest) is computedquantile()
:probs
must be length 1; approximate quantile (t-digest) is computed
stringr
Pattern modifiers coll()
and boundary()
are not supported in any functions.
str_c()
: thecollapse
argument is not yet supportedstr_count()
:pattern
must be a length 1 character vectorstr_split()
: Case-insensitive string splitting and splitting into 0 parts not supportedstr_sub()
:start
andend
must be length 1