mirror of
https://github.com/vale981/ray
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78f882dbbc
Previously, local files corresponding to runtime env URIs were eagerly garbage collected as soon as there were no more references to them. In this PR, we store this data in a cache instead, so when the reference count for a URI drops to zero, instead of deleting it we simple mark it as unused in the cache. When the cache exceeds its size limit (default 10 GB) it will delete unused URIs until the cache is back under the size limit or there are no more unused URIs. Design doc: https://docs.google.com/document/d/1x1JAHg7c0ewcOYwhhclbuW0B0UC7l92WFkF4Su0T-dk/edit - Adds unit tests for caching and integration tests for working_dir caching |
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| .. | ||
| _examples | ||
| images | ||
| actors.rst | ||
| advanced.rst | ||
| async_api.rst | ||
| concurrency_group_api.rst | ||
| configure.rst | ||
| cross-language.rst | ||
| download_zip_url.png | ||
| fault-tolerance.rst | ||
| handling-dependencies.rst | ||
| memory-management.rst | ||
| namespaces.rst | ||
| package-ref.rst | ||
| placement-group.rst | ||
| ray-dashboard.rst | ||
| ray_repo.png | ||
| serialization.rst | ||
| starting-ray.rst | ||
| troubleshooting.rst | ||
| using-ray-with-gpus.rst | ||
| using-ray-with-jupyter.rst | ||
| using-ray-with-pytorch.rst | ||
| using-ray-with-tensorflow.rst | ||
| using-ray.rst | ||
| walkthrough.rst | ||
