Base Docker image / Dockerfile for running R jobs in AWS Batch

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Is there a recommended Docker image / Dockerfile starting point for running R scripts in AWS Batch? I have looked at a few here, and the starting image is could be any of the following: rocker, python:3.6, ubuntu:16.04 or r-base:

What are the key points to consider in choosing a good starting point for a Dockerfile for R jobs? For this particular workload, my main R packages are data.table and the tidyverse packages (no need for RStudio / Shiny server).

1 Respuesta
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First you have to decide do you want Microsoft R or Open R, Microsoft R I believe has some optimizations but is a pain to get to run in docker (they hard code the UIDs resulting in conflicts depending on the host node OS). I did Microsoft R for a client a few years back, it was a bit painful. Unfortunately I can't share that file/work.

If Open R works for your use case then why not just start from r-base? https://hub.docker.com/_/r-base/

I'd recommend a Dockerfile that is specific for your use case, installing data.table / other packages post batch startup isn't ideal, so FROM r-base generally we copied a install.R script to the docker image and run it in r-script to install everything. Then saved that image to ECR and referenced it in the batch jobs.

If you are running a lot of jobs you may want to also look into the ECS cluster to change the caching on the computer environment since the images will be quite large.

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