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https://issues.apache.org/jira/browse/NIFI-856?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15313470#comment-15313470
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ASF GitHub Bot commented on NIFI-856:
-------------------------------------

Github user asfgit closed the pull request at:

    https://github.com/apache/nifi/pull/290


> Add Processor for Lumberjack protocol
> -------------------------------------
>
>                 Key: NIFI-856
>                 URL: https://issues.apache.org/jira/browse/NIFI-856
>             Project: Apache NiFi
>          Issue Type: New Feature
>            Reporter: Mike de Rhino 
>              Labels: features
>             Fix For: 1.0.0, 0.7.0
>
>         Attachments: NIFI-856.patch
>
>
> It would be great if NIFI could support the [lumberjack 
> protocol|https://github.com/elastic/logstash-forwarder/blob/master/PROTOCOL.md]
>  so to enable the use of logstash forwarder as a source of data.
> A lot of non Java shops tend to avoid installing Java at data producing nodes 
> and instead of Flume they end up using things like kafka, heka, fluentd or 
> logstash-forwarded as data shipping mechanisms. 
> Kafka is great but its architecture seem to be better focused on multi-DC 
> environments instead of multi-branch scenarios (imagine having to manager 80 
> Zookeeper quorum, one for each country where you operate?)
> [Heka|https://github.com/mozilla-services/heka] is fine, it has decent 
> backpressure buffering but no concept of acknowledgement on the receiving 
> side of a TCP stream. If the other end of a TCP stream is capable of 
> listening but gets stuck with its messages it will keep spitting data through 
> the pipe, oblivious to the woes at the other end.
> Logstash forwarder in the other hand, is a quite simple tool, with a 
> reasonable implementation of acknowledgments on the receiving side but... it 
> depends on Logstash(and logstash has its own issues).
> It would be great if NIFI could serve as a middle man, receiving lumberjack 
> messages and offloading some of the hard work Logstash seems to struggle with 
> (e.g. using NIFI to save to HDFS while a downstream Logstash writes into ES).



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