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https://issues.apache.org/jira/browse/NUTCH-3162?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18065094#comment-18065094
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ASF GitHub Bot commented on NUTCH-3162:
---------------------------------------
sonarqubecloud[bot] commented on PR #906:
URL: https://github.com/apache/nutch/pull/906#issuecomment-4039380397
## [](https://sonarcloud.io/dashboard?id=apache_nutch&pullRequest=906)
**Quality Gate failed**
Failed conditions
 [36.8% Coverage on New
Code](https://sonarcloud.io/component_measures?id=apache_nutch&pullRequest=906&metric=new_coverage&view=list)
(required ≥ 80%)
 [E Reliability Rating on New
Code](https://sonarcloud.io/dashboard?id=apache_nutch&pullRequest=906)
(required ≥ A)
[See analysis details on SonarQube
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> Latency metrics to properly merge data from all threads and tasks
> -----------------------------------------------------------------
>
> Key: NUTCH-3162
> URL: https://issues.apache.org/jira/browse/NUTCH-3162
> Project: Nutch
> Issue Type: Bug
> Components: fetcher, indexer, parser
> Affects Versions: 1.22
> Reporter: Sebastian Nagel
> Assignee: Lewis John McGibbney
> Priority: Major
> Fix For: 1.23
>
>
> The latency metrics (NUTCH-3134) have to issues:
> 1. Only the data from one thread is used, in case, a tool is multi-threaded.
> That's definitely the case for Fetcher. The "emitCounters" methods needs to
> increment the counter values, instead of calling "setValue". However, this is
> not the correct approach for the percentiles, see also next point.
> 2. If running full cluster mode with multiple parallel tasks, the task
> counters are summed up to the job counter value. However, the values of the
> latency percentiles then turn out to be too high.
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