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High-performance I/O tools to run distributed R jobs seamlessly on Hadoop and handle chunk-wise data processing

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There is a bug in write.csv.raw() with this line: https://github.com/s-u/iotools/blob/d418a82f521955f476771e9ab0856676935a2da2/R/local.R#L135 rawToChar() is not necessary and creates a bug: writeBin() adds a null character at the end of the output if...

Might be helpful to direct users to the paper - both here and on CRAN, perhaps as a vignette?

By complete accident doing some debugging, I realized that (despite my having read the argument list in `?dstrfw` several times), contrary to what I had been doing, `dstrfw` provides functionality...

Calling read.csv.raw will fail if all rows are skipped and if colClasses are absent. The built-in function utils::read.csv after which the interface of the really great and fast iotools::read.csv.raw is...