topic Re: databricks bundle install: Error: Maximum file size of 524288000 exceeded in Data Engineering

databricks bundle install: Error: Maximum file size of 524288000 exceeded

weakliemg — Mon, 14 Jul 2025 21:00:45 GMT

I have a job that's running some ML classification models. This uses PyTorch 2.5.0. I've configured the project with that dependency.

I can deploy my job to our dev system from my laptop and all goes well. When I run this off our CI/CD server, for some reason it wants to upload dependencies when it runs databricks bundle deploy, it appears to try to upload the dependencies and fails on the PyTorch wheel which is apparently huge.

I shouldn't need to upload dependencies with the DAB, why is it trying to deploy them? Running off my laptop, it doesn't try to upload the dependencies and the deploy is done in a few seconds.

Re: databricks bundle install: Error: Maximum file size of 524288000 exceeded

SP_6721 — Tue, 15 Jul 2025 13:45:31 GMT

Hi @weakliemg ,

When deploying with Databricks Asset Bundles (DAB) from your CI/CD server, it tries to upload any local dependencies referenced in the bundle config, even if they’re already installed, because it treats them as local files. That’s likely why it’s trying to upload the large PyTorch wheel and failing.
To avoid this:

Upload the dependency to a workspace or Unity Catalog location and reference that path
Use a PyPI reference in your bundle config instead of a local file

Re: databricks bundle install: Error: Maximum file size of 524288000 exceeded

weakliemg — Tue, 15 Jul 2025 14:56:17 GMT

Thanks but why does this behavior not happen locally? Also, the bundle config doesn't reference torch, it's used in code and included as a dev dependency in pyproject.toml. My libraries are just this:

libraries: - whl: ../dist/*.whl - pypi: package: pydantic>=2.0 - maven: coordinates: io.dataflint:spark_2.12:0.4.0