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https://issues.apache.org/jira/browse/NIFI-5241?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16501823#comment-16501823
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ASF GitHub Bot commented on NIFI-5241:
--------------------------------------

Github user mcgilman commented on a diff in the pull request:

    https://github.com/apache/nifi/pull/2752#discussion_r193081251
  
    --- Diff: 
nifi-nar-bundles/nifi-framework-bundle/nifi-framework/nifi-web/nifi-jetty/src/main/java/org/apache/nifi/web/server/JettyServer.java
 ---
    @@ -689,6 +689,7 @@ private void configureGenericConnector(Server server, 
HttpConfiguration configur
                     serverConnector.setHost(hostname);
                 }
                 serverConnector.setPort(port);
    +            serverConnector.setIdleTimeout(60000);
    --- End diff --
    
    Assuming these changes are related to the frequency of the automatic 
browser refresh, should we make this timeout relative to the value configured 
in `nifi.ui.autorefresh.interval`.


> When calculating stats for components, use synchronized methods instead of 
> atomic variables
> -------------------------------------------------------------------------------------------
>
>                 Key: NIFI-5241
>                 URL: https://issues.apache.org/jira/browse/NIFI-5241
>             Project: Apache NiFi
>          Issue Type: Improvement
>          Components: Core Framework
>            Reporter: Mark Payne
>            Assignee: Mark Payne
>            Priority: Major
>             Fix For: 1.7.0
>
>
> Currently, the EventSumValue that is used to calculate stats for components, 
> such as bytes in, bytes out, etc. using AtomicLong's and AtomicInteger's, etc 
> to keep track of values. This made sense at first when there were only a few 
> stats. Now, however, they hold about 17 different values and the atomic 
> updates / atomic reads are more expensive than a synchronized method would 
> be. This can cause sluggishness in the UI after the instance has been running 
> for a while, especially if there are a lot of processors.



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