Comments (3)
Since there is no repro, we will read the code and see how it can possibly happen. If we cannot figure out and there is still no repro, we will downgrade it.
from ray.
Do you know what caused the raylet to crash? Any repro steps?
from ray.
It is hard to reproduce, I only encountered this issue once. From the logs, I know:
- When the raylet is processing a client message, the worker is not in the registered workers.
- The raylet crashes when a job is exiting.
from ray.
Related Issues (20)
- CI test darwin://python/ray/tests:test_job is consistently_failing HOT 5
- [data] ray_tqdm does not work with numba HOT 1
- Release test single_node_oom.aws failed HOT 3
- [Ray debugger] Unable to use debugger on Ray Cluster on k8s HOT 1
- [RLlib] Incorrect Callback Order HOT 1
- [Tune] Air output metrics are replaced by irrelevant inferred metrics
- Release test long_running_node_failures.aws failed HOT 1
- Release test long_running_serve.aws failed HOT 1
- Release test long_running_many_tasks_serialized_ids.aws failed HOT 1
- Release test long_running_many_actor_tasks.aws failed HOT 1
- Release test long_running_actor_deaths.aws failed HOT 1
- Release test long_running_many_tasks.aws failed HOT 1
- Release test long_running_many_jobs.aws failed HOT 1
- Release test long_running_impala.aws failed HOT 1
- Release test long_running_serve_failure.aws failed HOT 1
- Release test microbenchmark.aws failed HOT 4
- [rllib] flattening error in gym.spaces.Sequence
- [Data] Reduce the amount of logging in ray-data.log HOT 1
- [core][experimental] Support tasks with multiple return values in accelerated DAG
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