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Currently, there is no a unified mechanism for putting functions into a distributed store and caching the remote references. There are multiple approaches to solving this issue, for example like here - https://github.com/modin-project/modin/blob/master/modin/core/execution/ray/implementations/pandas_on_ray/partitioning/virtual_partition.py#L64 .
All this functionality could be implemented in a single decorator, for example @remote_function, with an internal cache.
@remote_function
The text was updated successfully, but these errors were encountered:
FEAT-modin-project#7111: Implemented @remote_function decorator wit…
53cad38
…h cache
FEAT-#7111: Implemented @remote_function decorator with cache (#7112)
23c1ec0
Signed-off-by: Andrey Pavlenko <andrey.a.pavlenko@gmail.com>
Successfully merging a pull request may close this issue.
Currently, there is no a unified mechanism for putting functions into a distributed store and caching the remote references. There are multiple approaches to solving this issue, for example like here - https://github.com/modin-project/modin/blob/master/modin/core/execution/ray/implementations/pandas_on_ray/partitioning/virtual_partition.py#L64 .
All this functionality could be implemented in a single decorator, for example
@remote_function
, with an internal cache.The text was updated successfully, but these errors were encountered: