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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (APEXCORE-641) Subscribers/DataListeners may not be scheduled to execute even when they have data to process
Date Sat, 18 Mar 2017 22:55:42 GMT

    [ https://issues.apache.org/jira/browse/APEXCORE-641?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15931447#comment-15931447
] 

ASF GitHub Bot commented on APEXCORE-641:
-----------------------------------------

Github user asfgit closed the pull request at:

    https://github.com/apache/apex-core/pull/470


> Subscribers/DataListeners may not be scheduled to execute even when they have data to
process
> ---------------------------------------------------------------------------------------------
>
>                 Key: APEXCORE-641
>                 URL: https://issues.apache.org/jira/browse/APEXCORE-641
>             Project: Apache Apex Core
>          Issue Type: Bug
>          Components: Buffer Server
>    Affects Versions: 3.2.0, 3.3.0, 3.2.1, 3.4.0, 3.5.0, 3.6.0
>            Reporter: Vlad Rozov
>            Assignee: Vlad Rozov
>
> Buffer server iterates over DataListeners aka LogicalNodes and each LogicalNode tries
to send to it's downstream all data that Publisher added to the DataList. When an output port
is connected to multiple partitions or downstream operators (2 or more DataListeners/LogicalNodes)
there may be more data published to the DataList after first few DataListeners in the listeners
set iterated over DataList and reached the last block published so far. The data published
while the last DataListeners sends data to it's downstream will not be processed by other
DataListeners until Publisher adds more data to the DataList. This may lead to blocked operators,
as Buffer server may stop processing data completely in case Publisher fills more than one
Data block while a single DataListener sends data to it's downstream and there are more Subscribers/DataListeners
than number of in memory blocks allowed (8). In such case, Publisher will be suspended, and
there will be no task scheduled to process data already published to the DataList.



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