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fix(io): use checked_shl and saturating_mul in retry jitter calculation
ARDA7787:patch-1
25 seconds ago
fix(flotilla): silence noisy logs from distributed-limit cancellation PR #6942 surfaced three categories of confusing output during limit cancellation. None changed query results; all are removed here. - `ray.cancel(result_handle)` on every non-contributor task marked them FAILED in Ray's task table. Replaced with `actor.cancel_input.remote(...)`, which closes the per-input result channel inside the worker's `NativeExecutor` so `run_plan` drains and returns FINISHED. - `claim` / `start_task` on the torn-down counter actor used to raise `ActorDiedError`, propagate out of `DistributedLimitSink::execute`, and tear down the worker's run loop. They now swallow that error as a residual-race safety net (`LimitNode` drains task cancels first, so this only fires when a sink call is mid-flight). - "Plan execution task has died; cannot enqueue new input" was the downstream symptom of the previous two on concurrent inputs sharing a plan; no longer reproducible. Mechanism: 1. `NativeExecutor` exposes `cancel_input(fingerprint, input_id)`. It sends through a new unbounded channel; `run_execution_loop` drops the per-input result sender, ending the Python iteration cleanly. 2. `TaskResultHandle::cancel_callback` now returns a `Future`. The Ray impl awaits the Python `actor.cancel_input.remote(...)` ack so the scheduler can sequence post-cancel teardown. 3. `LimitNode::limit_execution_loop` drains `running_tasks` after firing `parent_cancel.cancel()` and before `teardown_limit_counter_actor`. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
colin/fix-distributed-limit-cancel-noise
12 hours ago
fix
chris/shuffle-write-stats
15 hours ago

Latest Branches

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fix(flotilla): silence noisy logs from distributed-limit cancellation#6980
11 hours ago
f118f2b
colin/fix-distributed-limit-cancel-noise
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13 hours ago
d77ee2e
colin/configurable-flight-shuffle-compression
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13 hours ago
11fcb05
BABTUNA:perf/inline-agg-product
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