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Migrated from mrocklin fork. Originally posted by @phrrngtn
[another feature request coming out of sidebar conversation with mrocklin]
apologies for the very half-baked suggestion. I have not worked with dask enough to identify clearly what it is that I think I want!
Use case: I want complicated dasks on immutable/append-only data to re-use previously computed results if they are available.
hierarchical means that dask sub-trees can be cached (not just the whole thing). OK with cache busting if the scheduler/optimizer picks a different tree. Assume that cache configuration has to be tied to the scheduler (i.e. the thing that runs the dask rather than the dask itself?)
The text was updated successfully, but these errors were encountered:
great! I only just recently got my own 'expression tree rewriting' stuff
done: execute our Python-based internal DSL with what is essentially a
mocked out implementation and run a visitor on the tree to rewrite it to
the 'real' implementation. I will attempt a visitor that targets dasks and
cachey.
Migrated from mrocklin fork. Originally posted by @phrrngtn
[another feature request coming out of sidebar conversation with mrocklin]
apologies for the very half-baked suggestion. I have not worked with dask enough to identify clearly what it is that I think I want!
Use case: I want complicated dasks on immutable/append-only data to re-use previously computed results if they are available.
hierarchical means that dask sub-trees can be cached (not just the whole thing). OK with cache busting if the scheduler/optimizer picks a different tree. Assume that cache configuration has to be tied to the scheduler (i.e. the thing that runs the dask rather than the dask itself?)
The text was updated successfully, but these errors were encountered: