[Data] Estimate object store memory from in-flight tasks #42504
Merged
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Why are these changes needed?
Ray Data's streaming executor launches as many as 50 tasks in a single scheduling step. If the executor doesn't account for the potential output of in-flight tasks, it launches too many tasks (since tasks don't immediately output data) and causes spilling.
This PR fixes the issue by considering data buffered at the Ray Core level to computations of topology resource usage.
Related issue number
Fixes #42374
Checks
git commit -s
) in this PR.scripts/format.sh
to lint the changes in this PR.method in Tune, I've added it in
doc/source/tune/api/
under thecorresponding
.rst
file.