![]() ![]() ![]() I was just downloading a very small dataset ( iris.csv), so maybe on larger datasets that take more time, the time taken to open an R session would be offset by the time it takes to download larger files. I am just guessing here, but the reason that multisession is slower could be because it has to open up several R sessions before running the download.file function. ![]() Keep in mind, I am using Ubuntu, so using Windows will likely change things, since as far as I understand future doesn't allow multicore on Windows. Use multiprocess if you are unsure what platform your code will be run on). Using multicore substantially increases the downloading speed ( Note: on Windows, multicore is not available, only multisession. I think what you mean is furrr::future_map. ![]()
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