Register compute bindingsSource:
are used to populate a list of functions that operate on (and return)
Expressions. These are the basis for the
.data mask inside dplyr methods.
A string containing a function name in the form
"package::function". The package name is currently not used but may be used in the future to allow these types of function calls.
A function or
NULLto un-register a previous function. This function must accept
Expressionobjects as arguments and return
Expressionobjects instead of regular R objects.
An environment in which the functions should be assigned.
Update .cache$functions at the time of registration. the default is FALSE because the majority of usage is to register bindings at package load, after which we create the cache once. The reason why .cache$functions is needed in addition to nse_funcs for non-aggregate functions could be revisited...it is currently used as the data mask in mutate, filter, and aggregate (but not summarise) because the data mask has to be a list.
string for the docs: note any limitations or differences in behavior between the Arrow version and the R function.
An aggregate function or
NULLto un-register a previous aggregate function. This function must accept
Expressionobjects as arguments and return a
fun: string function name
data: list of 0 or more
options: list of function options, as passed to call_function
Expression$create()will wrap any non-Expression inputs as Scalar Expressions. If you want to try to coerce scalar inputs to match the type of the Expression(s) in the arguments, call
cast_scalars_to_common_type(args)on the args. For example,
Expression$create("add", args = list(int16_field, 1))would result in a
float64type output because
doublein R. To prevent casting all of the data in
int16_fieldto float and to preserve it as int16, do
Expression$create("add", args = cast_scalars_to_common_type(list(int16_field, 1)))
Inside your function, you can call any other binding with