README.md

lambda-r-demo

This repository contains source code and supporting files demonstrating how to run R on AWS Lambda functions using two approaches:

1. Using the rpy2 Python package.
2. Using the lambdr R package.

Directory structure

This repository uses the Serverless Application Model (SAM) to define the necessary infrastructure. It includes the following files and folders:

• lambdr/: Code for the lambdr implementation.
• rpy2/: Code for the rpy2 implementation.
• template.yaml: A template that defines the application's AWS resources.

├── lambdr
│   ├── Dockerfile
│   ├── app.R
│   └── requirements.txt
├── rpy2
│   ├── Dockerfile
│   ├── app.py
│   ├── requirements.txt
│   └── utils.R
└── template.yaml

Deploy the application

To build and deploy this application, you will need to install the SAM CLI and Docker.

To deploy this application for the first time, run the following:

sam build
sam deploy --guided

The first command will build a Docker image from a Dockerfile and then copy the source of the application inside the Docker image. The second command will package and deploy the application to AWS, with a series of prompts.

See the AWS SAM developer guide for an introduction to SAM specification, the SAM CLI, and serverless application concepts.

Invoke the functions

To invoke the functions, run the following:

aws lambda invoke \
    --function-name r-lambda-demo-rpy2 \
    --cli-binary-format raw-in-base64-out \
    --payload '{"number": "24"}' \
    response.json

aws lambda invoke \
    --function-name r-lambda-demo-lambdr \
    --cli-binary-format raw-in-base64-out \
    --payload '{"number":  "24"}' \
    response.json