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https://issues.apache.org/jira/browse/STORM-200?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14037856#comment-14037856
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ASF GitHub Bot commented on STORM-200:
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Github user revans2 commented on the pull request:
https://github.com/apache/incubator-storm/pull/38#issuecomment-46614386
I have been playing around with this and I think I know the root cause of
the hang in wait-for-atleast-N-buckets!. First I updated the python spout code
to not sleep. This was causing a race with the simulated time preventing the
metrics from being collected. The second issue is that
wait-for-atleast-N-buckets! does not advance simulated time. When I updated it
to advance by one second instead of Thread/sleep, it worked.
I attached a patch to the original JIRA.
https://issues.apache.org/jira/secure/attachment/12651488/update.patch
I ran the tests 10 times in a row with no errors.
> Proposal for Multilang's Metrics feature
> ----------------------------------------
>
> Key: STORM-200
> URL: https://issues.apache.org/jira/browse/STORM-200
> Project: Apache Storm (Incubating)
> Issue Type: New Feature
> Reporter: DashengJu
> Priority: Minor
> Attachments: update.patch
>
>
> Storm 0.9.0.1 exposes a metrics interface to report summary statistics across
> the full topology. We can build our own metric, and build metrics consumer to
> use those statistics.
> But when we use Multilang(ie. Python), we can not use this feature. So we
> want to summit a proposal for multilang's metrics.
> The specifics of the proposal:
> 1. The main idea is: when user want to add a metric statistics in
> multilang(python) bolt，
> a) he need first create a metric object and register in ShellBolt's
> sub-class,
> b) then update the metric in Python bolt process through RPC call.
> 2. In Metrics API:
> a) extend IMetric interface add a method for RPC call：public void
> updateMetricFromRPC(List<Object> params);
> b) modify IMetric implements, to support updateMetricFromRPC;
> 3. In ShellBolt，
> a) we have a Map<String, IMetric> to hold user's registered metrics
> object；
> b) we have a method registerMetric(String name, T metric) for user to
> register their metris object;
> c) we have a method handleMetrics(Map action) to handle RPC call from
> Python process；
> 4) In Multilang protocol: add a command "metrics" for shell process to make
> RPC call. The protocol is: {"command":"metrics",
> "name":"metric-registerd-name", "params":["param-1", param-2]}
> 5) In storm.py：add rpcMetrics(name, params), user can update remote metric
> through this RPC call.
> any suggestions?
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