Parallelizing calls to chunk.apply

The chunk.apply() function can also make use of parallel processes to process data more quickly. When the CH.PARALLEL parameter is set to a value greater than one on Linux and Unix machine (including the Mac) multiple processes read and process data at the same time thereby reducing the execution time. On Windows the CH.PARALLEL parameter is ignored.

Este ejercicio forma parte del curso

Scalable Data Processing in R

Ver curso

Instrucciones del ejercicio

Benchmark the function iotools_read_fun(), first with 1 process and then with 3 parallel processes.

Ejercicio interactivo práctico

Prueba este ejercicio y completa el código de muestra.

iotools_read_fun <- function(parallel) {
    fc <- file("mortgage-sample.csv", "rb")
    readLines(fc, n = 1)
    chunk.apply(fc, make_msa_table,
                CH.MAX.SIZE = 1e5, CH.PARALLEL = parallel)
    close(fc)
}

# Benchmark the new function
microbenchmark(
    # Use one process
    ___, 
    # Use three processes
    ___, 
    times = 20
)

Editar y ejecutar código