Base Docker image / Dockerfile for running R jobs in AWS Batch
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:
- (FROM rocker) https://github.com/aws-samples/aws-fargate-with-rstudio-open-source/blob/main/docimage-rstudio/Dockerfile
- (FROM rocker) https://github.com/aws-samples/aws-fargate-with-rstudio-open-source/blob/main/docimage-shiny/Dockerfile
- (FROM python:3.6) https://github.com/aws-samples/sagemaker-studio-custom-image-samples/blob/main/examples/r-image/Dockerfile
- (FROM ubuntu:16.04) https://github.com/aws/amazon-sagemaker-examples/blob/main/hyperparameter_tuning/r_bring_your_own/Dockerfile
- (FROM r-base) https://github.com/aws-samples/reinvent2020-aim404-productionize-r-using-amazon-sagemaker/blob/main/Dockerfile
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).
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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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