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View Code? Open in Web Editor NEWCustomizable caching of dask.delayed results.
License: MIT License
Customizable caching of dask.delayed results.
License: MIT License
Currently, the optimizer step traverses the full dask graph in no particular order:
It would be better to traverse it starting from the requested key(s), following through with their dependencies. A task does not need to be checked if all its dependents are already stored and will be loaded.
For instance, consider the following graph, a -> b -> c
, where b
is already stored.
dsk = {
"a": (task_a,),
"b": (task_b, "a"),
"c": (task_c, "b"),
}
If we request c
, which is not stored, then we would need to check b
, which is stored and hence loaded. Then, we don't need to check a
, which is simply removed from the graph.
optimized_dsk = {
# "a": (task_a,),
"b": (load, task_b),
"c": (task_c, "b"),
}
We could adapt the dask.cull
implementation.
To get type hints for Task
subclasses, we currently need to decorate them with @dataclass
.
But with dataclass_transform
, it wouldn't be necessary anymore: https://github.com/microsoft/pyright/blob/main/specs/dataclass_transforms.md
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