knime - How can I get all the data from separated large files in R Revolution Enterprise? -

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i'm using revor entreprise handle impoting large data files. example given in documentation states 10 files (1000000 rows each) imported dataset using rximport loop : 

setwd("c:/users/fsociety/bigdatasamples") data.directory <- "c:/users/fsociety/bigdatasamples" data.file <- file.path(data.directory,"mortdefault") mortxdffilename <- "mortdefault.xdf"  append <- "none" for(i in 2000:2009){ importfile <- paste(data.file,i,".csv",sep="") mortxdf <- rximport(importfile, mortxdffilename, append = append, overwrite = true, maxrowsbycols = null) append <- "rows"     } mortxdfdata <- rxxdfdata(mortxdffilename) knime.out <- rxxdftodataframe(mortxdfdata)

the issue here 500000 rows in dataset due maxrowsbycols argument default 1e+06 changed higher value , null still truncates data file.

since importing xdf maxrowsbycols doesn't matter. also, on last line read data.frame, sort of defeats purpose of using xdf in first place.

this code work me on data http://packages.revolutionanalytics.com/datasets/mortdefault.zip, assume using.

the 500k rows due rowsperread argument, determines block size. of data read in, in 500k increments, can changed match needs.

setwd("c:/users/fsociety/bigdatasamples") data.directory <- "c:/users/fsociety/bigdatasamples" data.file <- file.path(data.directory, "mortdefault") mortxdffilename <- "mortdefault.xdf"  append <- "none" overwrite <- true for(i in 2000:2009){   importfile <- paste(data.file, i, ".csv", sep="")   rximport(importfile, mortxdffilename, append=append, overwrite = true)   append <- "rows"   overwrite <- false }  rxgetinfo(mortxdfdata, getblocksizes = true)  # file name: c:\users\dnorton\onedrive\r\marchmadness2016\mortdefault.xdf  # number of observations: 1e+07  # number of variables: 6  # number of blocks: 20  # rows per block (first 10): 5e+05 5e+05 5e+05 5e+05 5e+05 5e+05 5e+05 5e+05 5e+05 5e+05 # compression type: zlib

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