thinkharderdev opened a new issue, #655:
URL: https://github.com/apache/arrow-ballista/issues/655
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While working on the cluster state refactor and observing some issues with
handling of lost executors in our system, I think there are a couple of issues
with the current approach:
1. In multi-scheduler deployments, an executor will register itself and send
heartbeats with a particular scheduler.
2. Any scheduler can scheduler tasks on the executor
3. However, in the case of a `SIGTERM` the executor will call
`executor_stopped` on the scheduler from 1.
This doesn't work particularly well with the curated task architecture since
the scheduler from step 1 may not be the owner of the jobs which the executor
is running when it gets the `SIGTERM`. At best this may cause the lost executor
handling to not work correctly (or be delayed since the owning scheduler has to
wait for a timeout). At worst it could corrupt the job state and cause
unpredictable errors in the scheduler.
More broadly, resetting tasks immediately when an executor gets a `SIGTERM`
is a bit limiting. The executor may have anywhere from 30s - 2 minutes (or
maybe more) to cleanup and finish any existing work after receiving a `SIGTERM`
and ideally we could take advantage of that to minimize disruptions.
**Describe the solution you'd like**
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We have an existing mechanism to broadcast executor state to all schedulers
using the executor heartbeat. These will also go to a particular scheduler but
can be broadcast fairly easily through `ClusterState`. So I would propose the
following:
1. Remove the `executor_stopped` rpc.
2. Instead of sending the `executor_stopped` rpc on `SIGTERM` the executor
can just send a heartbeat where it's state changes from `Active` to `Dead` (or
maybe something more descriptive like `ShuttingDown`).
3. When receiving that heartbeat the scheduler can put that executor in a
"quarantine" state which means:
a. Stop scheduling new tasks on it
b. Wait for some (configurable) interval before resetting tasks
This can ensure that we handle job updates on the appropriate scheduler and
that we can attempt to finish outstanding work before potentially re-computing
tasks/stages.
**Describe alternatives you've considered**
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you've considered.
The executor could maybe track all schedulers for which it has active tasks
and send an `executor_stopped` rpc to all of them but the rpc itself seems
somewhat duplicative of the existing heartbeat mechanism
**Additional context**
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