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From "Kishor Patil (JIRA)" <>
Subject [jira] [Commented] (STORM-406) Trident topologies getting stuck when using Netty transport (reproducible)
Date Thu, 24 Jul 2014 19:48:39 GMT


Kishor Patil commented on STORM-406:

I tested this with simple ExclamationTopology (2 workers, parallelism of 1 for each component).
It  could happen in either case.  
This is due to netty client not checking for channel status and not reconnect in case of disconnect.

I will be making a pull request soon.

> Trident topologies getting stuck when using Netty transport (reproducible)
> --------------------------------------------------------------------------
>                 Key: STORM-406
>                 URL:
>             Project: Apache Storm (Incubating)
>          Issue Type: Bug
>    Affects Versions: 0.9.2-incubating, 0.9.1-incubating,
>         Environment: Linux, OpenJDK 7
>            Reporter: Danijel Schiavuzzi
>            Priority: Critical
>              Labels: b
> 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 (, 0.9.1, 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:
> 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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