[#47] Adding filesystem support for save_df #48
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raydar/task_tracker/task_tracker.py
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| path: Optional[str] = None, | ||
| enable_perspective_dashboard: bool = False, | ||
| ): | ||
| def __init__(self, name: str, namespace: str, enable_perspective_dashboard: bool = False, filesystem: Type[fs.FileSystem] = fs.LocalFileSystem): |
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should this take an instance, otherwise how would you pass args to e.g. fs.S3FileSystem?
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\we've seen some issues with serializing certain filesystem objects - the alternative is default construction of a filesystem, which you can toggle through env variables. We could probably just take like a filesystem_kwargs=dict() parameter too, I don't have strong feelings about this
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... Signed-off-by: Todd Gaugler <[email protected]> ... ... . ...
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type: enhancement
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Responding to some requests to allow for better
save_dffunctionality, specifically saving the internal dataframe to cloud storage rather than saving to local path.I'll play around with this approach and write some tests.
fixes #47