From csardi.gabor at gmail.com  Mon Jul 10 19:18:05 2017
From: csardi.gabor at gmail.com (=?UTF-8?B?R8OhYm9yIENzw6FyZGk=?=)
Date: Mon, 10 Jul 2017 18:18:05 +0100
Subject: [Rd] Background session with R
In-Reply-To: <9DD73F68AC266D4AA329E07B678177B191E37796@EE-MBX3.ee.emp-eaw.ch>
References: <9DD73F68AC266D4AA329E07B678177B191E37796@EE-MBX3.ee.emp-eaw.ch>
Message-ID: <CABtg=K=MJiDhWb65m28ZwPxUCW_chcpgtcyp53sCVcz5Oj0FrA@mail.gmail.com>

You might find the https://github.com/r-lib/processx package useful.

Also, the dev version of https://github.com/r-lib/callr might be
useful. (The CRAN version of callr does not support background
processes.)

Gabor

On Mon, Jul 10, 2017 at 6:12 PM, Stravs, Michael
<Michael.Stravs at eawag.ch> wrote:
> Hi,
>
> I am working on some code to have a background R process running that I can submit data to, check computation progress, and retrieve results later. I am aware that "parallel" does a lot of that - however, "parallel" shuts down the nodes when I quit the master process. On the contrary, I would want these nodes to continue running, so I can fire up R again later and reconnect to the nodes to retrieve the results.
>
> The use case is Shiny apps, where I want a thin frontend as a GUI, workflow launcher and result viewer, and launch background computation that isn't dependent on the Shiny script staying alive.
>
> Has this been done already, and/or are there simple modifications of parallel/snow/etc that allow this? My current WIP thing uses Rserve.
>
> (shiny-discuss cc'd).
>
> Michael Stravs
> Eawag
> Umweltchemie
> BU E 23
> ?berlandstrasse 133
> 8600 D?bendorf
> +41 58 765 6742
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[Rd] Background session with R
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