Thanks for the update.  Is there any discussion around decoupling incoming
message delimiters from outgoing batching?  I believe this is how it
worked up to 0.4.x.  Should I make an enhancement request?

Thanks,
Ralph



On 4/29/16, 1:02 PM, "Joe Witt" <joe.w...@gmail.com> wrote:

>Ralph,
>
>Possibly related to https://issues.apache.org/jira/browse/NIFI-1827.
>Clearly something to get sorted out promptly.
>
>Thanks
>Joe
>
>On Fri, Apr 29, 2016 at 2:45 PM, Perko, Ralph J <ralph.pe...@pnnl.gov>
>wrote:
>> Hi
>>
>> We are using Kafka as our messaging backbone and having been using Nifi
>> since 0.3.x ­ It has been a real game changer ­ thanks for the work!
>>
>> In 0.6.1 When we set concurrent to anything greater than 1 and partition
>> strategy to "round robin" we are getting an invalid partition error:
>>
>> 2016-04-29 17:44:31,536 ERROR [Timer-Driven Process Thread-6]
>> o.apache.nifi.processors.kafka.PutKafka
>> PutKafka[id=67a1e471-1548-407c-bedc-a2a6212c2458]
>> PutKafka[id=67a1e471-1548-407c-bedc-a2a6212c2458] failed to process
>>session
>> due to java.lang.IllegalArgumentException: Invalid partition given with
>> record: 165 is not in the range [0...10].:
>> java.lang.IllegalArgumentException: Invalid partition given with
>>record: 165
>> is not in the range [0...10].
>>
>> Setting the partition strategy to ³random² seems to clear up this issue.
>>
>> It also seems batching is not working as it did in previous versions.
>> Poking around in the code and comparing the PutKafka in 0.4.1 to 0.6.1
>>it
>> appears the incoming message delimiter is now tied to outgoing
>>batching, but
>> from what I can tell this is not the case in 0.4.1.
>>
>> PutKafka.java:438
>>
>> if (context.getProperty(MESSAGE_DELIMITER).isSet()) {
>>     properties.setProperty("batch.size",
>> context.getProperty(BATCH_NUM_MESSAGES).getValue());
>> } else {
>>     properties.setProperty("batch.size", "1");
>> }
>>
>> We have many single small messages coming in and do not need the message
>> delimiter but still want to batch.
>>
>>
>> It could very well be I am misunderstanding how this works.  Should I be
>> using it differently?  Should I drop in the 0.4.1 kafka nar to get the
>> batching behavior we are looking for?
>>
>> Thanks,
>> Ralph
>>

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