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I followed the clear instructions of manually using the docker image, and after running the container, it took a long time to run. After running it in debug mode, I realized that it pulls additional >5GB containers.
To me (and I am sure to some others), it looked like it just "hangs" since the pulling of the additional images takes way too long, and I know my project usually runs in a few seconds on the cloud service.
So, based on this experience, I would like to suggest to update the docker pull instructions to instruct users to pre-download the additional images and not only the base image:
In addition, I can say that these docker images are the largest I have ever seen, by a huge factor. I am guessing the reason is that they contain all the tools for all the languages. It would be much nicer to have smaller (<1GB) images, on a per-language basis, and even better - to have these images work without the need to use docker-in-docker.
I know the chances of this happening are slim to none, but I thought I should mention it, in case someone else in the code climate team is thinking along these lines.
The text was updated successfully, but these errors were encountered:
I am with you on the large images. It would be really nice to be able to configure codeclimate to point at alternative engine locations because then they also don't need to be cached on the host
I followed the clear instructions of manually using the docker image, and after running the container, it took a long time to run. After running it in debug mode, I realized that it pulls additional >5GB containers.
To me (and I am sure to some others), it looked like it just "hangs" since the pulling of the additional images takes way too long, and I know my project usually runs in a few seconds on the cloud service.
So, based on this experience, I would like to suggest to update the docker pull instructions to instruct users to pre-download the additional images and not only the base image:
In addition, I can say that these docker images are the largest I have ever seen, by a huge factor. I am guessing the reason is that they contain all the tools for all the languages. It would be much nicer to have smaller (<1GB) images, on a per-language basis, and even better - to have these images work without the need to use docker-in-docker.
I know the chances of this happening are slim to none, but I thought I should mention it, in case someone else in the code climate team is thinking along these lines.
The text was updated successfully, but these errors were encountered: