将 R 包函数导出到 R 包内的并行集群

Question

There are functions (like function1 ) within an R package I'm working on which rely on helper functions (like h_function1 and h_function2 ) in my package. I'm parallelizing to repeatedly call function1 within another function in my package.

Currently, in my package I'm using the code

parallel::clusterExport(cl, varlist=c("h_function1", "h_function2"), envir=environment())
parallel::parSapply(X=1:100, FUN=function1, cl=cl)

where cl is cluster from the parallel package that was passed into the function. This however assumes that the helper functions h_function1 and h_function2 are loaded from my package into the local environment, which may not be true for some users.

What is a way to flexibly export the functions to the cluster? Is it possible to export all functions of the package by package name?

Answer 1

我通常使用以下代码执行此操作：

parallel::clusterEvalQ({library("<package-name>")})