My pipelines uses atlassian/bitbucket-upload-file 0.7 to upload artifacts to Bitbucket Downloads.
I got error "Container 'docker' exceeded memory limit." ("error waiting for container: unexpected EOF" in build log) when total size of artifacts reached around 510MB (in 5 files).
Is it possible to fix the issue? Or I need to create my own script to upload files in a more memory efficient way.
Hi Rex,
I've noticed you have raised this in community, yet you have access to a Standard workspace that is entitled to Standard-level support from our team. In future, please raise a ticket directly with us by listing your workspace URL and selecting Bitbucket Cloud as the product with Technical Issues & Bugs as the reason:
If you are receiving a Pipelines error that you have run out of memory, chances are you are not assigning enough memory to that step. Please refer to our documentation for steps to combat this - particularly the Service memory limits section which outlines how memory is allocated to your builds:
If you still encounter issues, please raise a ticket directly with support as above so that we may assist you further. If you cannot raise a ticket, let me know and I will raise one on your behalf.
Cheers!
- Ben (Bitbucket Cloud Support)
Thanks, I have raised a ticket in your system.
Actually, I don't expect uploading files using official uploading pipe requires adjustment in allowed memory.
You must be a registered user to add a comment. If you've already registered, sign in. Otherwise, register and sign in.
Recommendation from the support person is increasing allowed memory or using CURL (not pipe). I have no idea if the pipe will be improved to allow uploading large file.
You must be a registered user to add a comment. If you've already registered, sign in. Otherwise, register and sign in.
Online forums and learning are now in one easy-to-use experience.
By continuing, you accept the updated Community Terms of Use and acknowledge the Privacy Policy. Your public name, photo, and achievements may be publicly visible and available in search engines.
You must be a registered user to add a comment. If you've already registered, sign in. Otherwise, register and sign in.