Eu tenho uma pergunta semelhante ao link abaixo no stackoverflow

R + Hadoop: Como ler o arquivo CSV do HDFS e executar o mapreduce?

Estou tentando ler um arquivo do local "/somnath/logreg_data/ds1.10.csv" no HDFS, reduzi o número de colunas de 10 para 5 e depois escrevi para outro local "/somnath/logreg_data/reduced/ds1.10 .reduced.csv "no HDFS usando o abaixotransfer.csvfile.hdfs.to.hdfs.reduced função.

transfer.csvfile.hdfs.to.hdfs.reduced("hdfs://10.5.5.82:8020/somnath/logreg_data/ds1.10.csv", "hdfs://10.5.5.82:8020/somnath/logreg_data/reduced/ds1.10.reduced.csv", 5)

A definição da função é

transfer.csvfile.hdfs.to.hdfs.reduced =
                function(hdfsFilePath, hdfsWritePath, reducedCols=1) {
                        #local.df = data.frame()
                        #hdfs.get(hdfsFilePath, local.df)
                        #to.dfs(local.df)
                        #r.file <- hdfs.file(hdfsFilePath,"r")
                        transfer.reduced.map =
                                        function(.,M) {
                                                label <- M[,dim(M)[2]]
                                                reduced.predictors <- M[,1:reducedCols]
                                                reduced.M <- cbind(reduced.predictors, label)
                                                keyval(
                                                     1,
                                                     as.numeric(reduced.M))
                                        }
                        reduced.values =
                             values(
                                     from.dfs(
                                        mapreduce(
                                          input = from.dfs(hdfsFilePath),
                                          input.format = "native",
                                          map = function(.,M) {
                                                label <- M[,dim(M)[2]]
                                                print(label)
                                                reduced.predictors <- M[,1:reducedCols]
                                                reduced.M <- cbind(reduced.predictors, label)
                                                keyval(
                                                     1,
                                                     as.numeric(reduced.M))}
                        )))
                        write.table(reduced.values, file="/root/somnath/reduced.values.csv")
                        w.file <- hdfs.file(hdfsWritePath,"w")
                        hdfs.write(reduced.values,w.file)
                        #to.dfs(reduced.values)
                }

Mas estou recebendo um erro

Error in file(fname, paste(if (is.read) "r" else "w", if (format$mode ==  :
  cannot open the connection
Calls: transfer.csvfile.hdfs.to.hdfs.reduced ... make.keyval.reader -> do.call -> <Anonymous> -> file
In addition: Warning message:
In file(fname, paste(if (is.read) "r" else "w", if (format$mode ==  :
  cannot open file 'hdfs://10.5.5.82:8020/somnath/logreg_data/ds1.10.csv': No such file or directory
Execution halted

OU

Quando estou tentando carregar um arquivo de hdfs usando os comandos abaixo, estou recebendo o erro abaixo:

> x <- hdfs.file(path="hdfs://10.5.5.82:8020/somnath/logreg_data/ds1.10.csv",mode="r")
Error in hdfs.file(path = "hdfs://10.5.5.82:8020/somnath/logreg_data/ds1.10.csv",  :
  attempt to apply non-function

Qualquer ajuda será muito apreciada

obrigado