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https://issues.apache.org/jira/browse/STORM-406?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Rick Kellogg updated STORM-406:
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Component/s: storm-core
> Trident topologies getting stuck when using Netty transport (reproducible)
> --------------------------------------------------------------------------
>
> Key: STORM-406
> URL: https://issues.apache.org/jira/browse/STORM-406
> Project: Apache Storm
> Issue Type: Bug
> Components: storm-core
> Affects Versions: 0.9.2-incubating, 0.9.1-incubating, 0.9.0.1
> Environment: Linux, OpenJDK 7
> Reporter: Danijel Schiavuzzi
> Assignee: Kishor Patil
> Priority: Blocker
> Labels: b
> Fix For: 0.9.3
>
>
> When using the new, default Netty transport, Trident topologies sometimes get
> stuck, while under ZeroMQ everything is working fine.
> I can reliably reproduce this issue by killing a Storm worker on a running
> Trident topology. If the worker gets re-spawned on the same slot (port), the
> topology stops processing. But if the worker re-spawns on a different port,
> topology processing continues normally.
> The Storm cluster configuration is pretty standard, there are two Supervisor
> nodes, one node has also Nimbus, UI and DRPC running on it. I have four slots
> per Supervisor, and run my test topology with setNumWorkers set to 8 so that
> it occupies all eight slots across the cluster. Killing a worker in this
> configuration will always re-spawn the worker on the same node and slot
> (port), thus causing the topology to stop processing. This is 100%
> reproducible on a few Storm clusters of mine, across multiple Storm versions
> (0.9.0.1, 0.9.1, 0.9.2).
> I have reproduced this with multiple Trident topologies, the simplest of
> which is the TridentWordCount topology from storm-starter. I've just modified
> it a little to add an additional Trident filter to log the tuple throughput:
> https://github.com/dschiavu/storm-trident-stuck-topology
> Non-transactional Trident topologies just silently stop processing, while
> transactional topologies continuously retry the batches and are re-emitted by
> the spout, however they never get processed by the next bolts in the chain so
> they time out.
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