#' @name de_serialize #' @rdname de_serialize #' @aliases binarize binarizeTransform getDataInFile #' #' @title (De)Serialization of a [big]matrix or data stream #' #' @description \code{binarize()} serializes a matrix or CSV file with minimal overhead, #' into a binary file. \code{getDataInFile()} achieves the inverse task: she retrieves #' (ASCII) data rows from indices in the binary file. Finally, #' \code{binarizeTransform()} serialize transformations of all data chunks; to use it, #' a data-retrieval function must be provided, thus \code{binarize} will most likely be #' used first (and then a function defined to seek in generated binary file) #' #' @param data_ascii Either a matrix or CSV file, with items in rows #' @param indices Indices of the lines to retrieve #' @param data_bin_file Name of binary file on output (\code{binarize}) #' or intput (\code{getDataInFile}) #' @param nb_per_chunk Number of lines to process in one batch #' @inheritParams claws #' @param getData Function to retrieve data chunks #' @param transform Transformation function to apply on data chunks #' #' @return For \code{getDataInFile()}, the matrix with rows corresponding to the #' requested indices. \code{binarizeTransform} returns the number of processed lines. #' \code{binarize} is designed to serialize in several calls, thus returns nothing. NULL #' @rdname de_serialize #' @export binarize = function(data_ascii, data_bin_file, nb_per_chunk, sep=",", nbytes=4, endian=.Platform$endian) { if (is.character(data_ascii)) data_ascii = file(data_ascii, open="r") else if (methods::is(data_ascii,"connection") && !isOpen(data_ascii)) open(data_ascii) is_matrix = !methods::is(data_ascii,"connection") first_write = (!file.exists(data_bin_file) || file.info(data_bin_file)$size == 0) data_bin = file(data_bin_file, open=ifelse(first_write,"wb","ab")) #write data length on first call if (first_write) { #number of items always on 8 bytes writeBin(0L, data_bin, size=8, endian=endian) if ( is_matrix ) data_length = ncol(data_ascii) else #connection { data_line = scan(data_ascii, double(), sep=sep, nlines=1, quiet=TRUE) writeBin(data_line, data_bin, size=nbytes, endian=endian) data_length = length(data_line) } } if (is_matrix) index = 1 repeat { if ( is_matrix ) { data_chunk = if (index <= nrow(data_ascii)) as.double(t(data_ascii[index:min(nrow(data_ascii),index+nb_per_chunk-1),])) else double(0) index = index + nb_per_chunk } else data_chunk = scan(data_ascii, double(), sep=sep, nlines=nb_per_chunk, quiet=TRUE) if (length(data_chunk)==0) break writeBin(data_chunk, data_bin, size=nbytes, endian=endian) } if (first_write) { # Write data_length, = (file_size-1) / (nbytes*nbWritten) at offset 0 in data_bin ignored = seek(data_bin, 0) writeBin(data_length, data_bin, size=8, endian=endian) } close(data_bin) if ( ! is_matrix ) close(data_ascii) } #' @rdname de_serialize #' @export binarizeTransform = function(getData, transform, data_bin_file, nb_per_chunk, nbytes=4, endian=.Platform$endian) { nb_items = 0 index = 1 repeat { data_chunk = getData((index-1)+seq_len(nb_per_chunk)) if (is.null(data_chunk)) break transformed_chunk = transform(data_chunk) binarize(transformed_chunk, data_bin_file, nb_per_chunk, ",", nbytes, endian) index = index + nb_per_chunk nb_items = nb_items + nrow(data_chunk) } nb_items } #' @rdname de_serialize #' @export getDataInFile = function(indices, data_bin_file, nbytes=4, endian=.Platform$endian) { data_bin = file(data_bin_file, "rb") data_size = file.info(data_bin_file)$size data_length = readBin(data_bin, "integer", n=1, size=8, endian=endian) #Ou t(sapply(...)) (+ rapide ?) data_ascii = do.call( rbind, lapply( indices, function(i) { offset = 8+(i-1)*data_length*nbytes if (offset > data_size) return (vector("double",0)) ignored = seek(data_bin, offset) readBin(data_bin, "double", n=data_length, size=nbytes, endian=endian) } ) ) close(data_bin) if (ncol(data_ascii)>0) data_ascii else NULL }