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re-phrase the streaming executor current usage string #47515

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merged 4 commits into from
Sep 18, 2024
Merged

re-phrase the streaming executor current usage string #47515

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c0425b3
clean up the streaming executor resource status message so it is not …
Sep 5, 2024
4a5e9c6
update comments
Sep 6, 2024
9a25a5c
Update python/ray/data/_internal/execution/streaming_executor.py
sofianhnaide Sep 6, 2024
9b848cd
fix lint
Sep 17, 2024
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15 changes: 10 additions & 5 deletions python/ray/data/_internal/execution/streaming_executor.py
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Original file line number Diff line number Diff line change
Expand Up @@ -354,15 +354,20 @@ def _consumer_idling(self) -> bool:
return len(self._output_node.outqueue) == 0

def _report_current_usage(self) -> None:
# running_usage is the amount of resources that have been requested but
# not necessarily available
# TODO(sofian) https://github.com/ray-project/ray/issues/47520
# We need to split the reported resources into running, pending-scheduling,
# pending-node-assignment.
running_usage = self._resource_manager.get_global_running_usage()
pending_usage = self._resource_manager.get_global_pending_usage()
limits = self._resource_manager.get_global_limits()
resources_status = (
"Running. Resources: "
f"{running_usage.cpu:.4g}/{limits.cpu:.4g} CPU, "
f"{running_usage.gpu:.4g}/{limits.gpu:.4g} GPU, "
f"{running_usage.object_store_memory_str()}/"
f"{limits.object_store_memory_str()} object_store_memory "
"Active & requested resources: "
f"{running_usage.cpu:.4g} of {limits.cpu:.4g} available CPU, "
f"{running_usage.gpu:.4g} of {limits.gpu:.4g} available GPU, "
f"{running_usage.object_store_memory_str()} of "
f"{limits.object_store_memory_str()} available object_store_memory "
"(pending: "
f"{pending_usage.cpu:.4g} CPU, "
f"{pending_usage.gpu:.4g} GPU)"
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