无法将库data.table加载到R并行

Question

当我使用以下代码将库data.table加载到cpu集群时，R会引发错误。但data.table包安装在R上，并且在并行代码之外使用时工作正常。

no_cores <- detectCores() - 1 
cl <- makeCluster(no_cores,outfile="out.txt") 
clusterEvalQ(cl, library(data.table)) 

错误： -

clusterEvalQ(cl, library(data.table)) Error in checkForRemoteErrors(lapply(cl, recvResult)) : 3 nodes produced errors; first error: there is no package called 'data.table'

Answer 1

建立在什么HenrikB上面说的意见，我被加入我的.libPaths（摆脱这个问题）调用clusterEvalQ（）：

.libPaths("C:/programs/rlib") 
library(parallel) 
no_cores<-detectCores()-1 

cl<-makeCluster(no_cores) 
#this is needed to see the package 
clusterEvalQ(cl, .libPaths("C:/programs/rlib")) 

# I'm using a function that uses the stringdist library 
clusterEvalQ(cl, library(stringdist)) 

#You need to load your data into the cluster also 
clusterExport(cl, "unmatched") 
clusterExport(cl, "matched") 

#now we're going to run it, amatch is a function in the stringdist lib 

parLapply(cl, unmatched,function(x) amatch(x,matched, maxDist = Inf))