Comments (2)
MikeBadescu
commented on August 23, 2024
- We need Python to call R from within the AWS lambda container (since AWS lambda calls a Python function).
- EC2 machines already have AWS CLI installed so it is easy to use (and up to date)
- On the local machine, one could use the
cloudyrpackages. However, they did not (and still do not) provide all the functionality needed to set up all the AWS services (not only S3) - The AWS CLI tools are maintained by AWS and tested extensively
Thus, I made the decision not to make the R code dependent on any cloudyr packages (although I use them heavily in other projects). This has the additional advantage that keeps the number of libraries loaded by R at a minimum, leaving more space in the deployment package (zip ) for R packages and files provided by the user.
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brorio
commented on August 23, 2024
Yes, you have a point there with the size of the deployment package.
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Related Issues (20)
- check size of files within zip
- lambda only, no api
- setup lambda / api scripts HOT 2
- fail if AWS cannot update lambda / API gateway
- detailed documentation
- use a bash ini processor to load & save settings HOT 2
- Automatically Integrate API Gateway with Cloud Watch
- return images (PNG) not only JSON HOT 2
- error creating Lambda Role HOT 3
- Error on transferring Python 3.6 to custom image HOT 3
- Understand EC2 needs HOT 2
- reconsider building packages via docker? HOT 1
- Running setup_user.sh PRJ_NAME: command not found HOT 7
- Which is the best way to install R packages? HOT 4
- secrets in echo/log HOT 1
- fail if yum cannot install linux packages
- fail if R cannot install packages
- install R packages from github
- better R application
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