Christopher McDermott created NIFI-2680:
-------------------------------------------

             Summary: PutKafka processors can fail but sill transfer the 
flowfile to the success output
                 Key: NIFI-2680
                 URL: https://issues.apache.org/jira/browse/NIFI-2680
             Project: Apache NiFi
          Issue Type: Bug
    Affects Versions: 0.7.0, 1.0.0, 0.8.0
            Reporter: Christopher McDermott
            Priority: Critical


 
I have PutKafka processor where I’ve set the Max Record Size property to 1MB.
 
If a transfer file larger than 1MiB to it, I see a bulletin and the following 
message in the log file, but the flowfile is transferred to the success output.

This can lead to data loss in the flow.
 
Caused by: org.apache.kafka.common.errors.RecordTooLargeException: The message 
is 5800160 bytes when serialized which is larger than the maximum request size 
you have configured with the max.request.si\
ze configuration.
2016-08-25 20:38:22,041 ERROR [Timer-Driven Process Thread-7] 
o.apache.nifi.processors.kafka.PutKafka 
PutKafka[id=3c396e30-7294-467e-b5d7-a3d44c0a04f4] Failed while waiting for acks 
from Kafka
2016-08-25 20:38:22,042 ERROR [Timer-Driven Process Thread-7] 
o.apache.nifi.processors.kafka.PutKafka
java.util.concurrent.ExecutionException: 
org.apache.kafka.common.errors.RecordTooLargeException: The message is 5800160 
bytes when serialized which is larger than the maximum request size you have 
conf\
igured with the max.request.size configuration.
        at 
org.apache.kafka.clients.producer.KafkaProducer$FutureFailure.<init>(KafkaProducer.java:437)
 ~[kafka-clients-0.8.2.2.jar:na]
        at 
org.apache.kafka.clients.producer.KafkaProducer.send(KafkaProducer.java:352) 
~[kafka-clients-0.8.2.2.jar:na]
        at 
org.apache.kafka.clients.producer.KafkaProducer.send(KafkaProducer.java:248) 
~[kafka-clients-0.8.2.2.jar:na]
        at 
org.apache.nifi.processors.kafka.KafkaPublisher.publish(KafkaPublisher.java:137)
 ~[nifi-kafka-processors-oculus-0.7.x-SNAPSHOT.jar:oculus-0.7.x-SNAPSHOT]
        at 
org.apache.nifi.processors.kafka.PutKafka$1.process(PutKafka.java:315) 
[nifi-kafka-processors-oculus-0.7.x-SNAPSHOT.jar:oculus-0.7.x-SNAPSHOT]
        at 
org.apache.nifi.controller.repository.StandardProcessSession.read(StandardProcessSession.java:1851)
 [nifi-framework-core-oculus-0.7.x-SNAPSHOT.jar:oculus-0.7.x-SNAPSHOT]
        at 
org.apache.nifi.controller.repository.StandardProcessSession.read(StandardProcessSession.java:1822)
 [nifi-framework-core-oculus-0.7.x-SNAPSHOT.jar:oculus-0.7.x-SNAPSHOT]
        at 
org.apache.nifi.processors.kafka.PutKafka.doRendezvousWithKafka(PutKafka.java:311)
 [nifi-kafka-processors-oculus-0.7.x-SNAPSHOT.jar:oculus-0.7.x-SNAPSHOT]
        at 
org.apache.nifi.processors.kafka.PutKafka.rendezvousWithKafka(PutKafka.java:287)
 [nifi-kafka-processors-oculus-0.7.x-SNAPSHOT.jar:oculus-0.7.x-SNAPSHOT]
        at 
org.apache.nifi.processors.kafka.AbstractKafkaProcessor.onTrigger(AbstractKafkaProcessor.java:76)
 [nifi-kafka-processors-oculus-0.7.x-SNAPSHOT.jar:oculus-0.7.x-SNAPSHOT]
        at 
org.apache.nifi.controller.StandardProcessorNode.onTrigger(StandardProcessorNode.java:1054)
 [nifi-framework-core-oculus-0.7.x-SNAPSHOT.jar:oculus-0.7.x-SNAPSHOT]
        at 
org.apache.nifi.controller.tasks.ContinuallyRunProcessorTask.call(ContinuallyRunProcessorTask.java:136)
 [nifi-framework-core-oculus-0.7.x-SNAPSHOT.jar:oculus-0.7.x-SNAPSHOT]
        at 
org.apache.nifi.controller.tasks.ContinuallyRunProcessorTask.call(ContinuallyRunProcessorTask.java:47)
 [nifi-framework-core-oculus-0.7.x-SNAPSHOT.jar:oculus-0.7.x-SNAPSHOT]
        at 
org.apache.nifi.controller.scheduling.TimerDrivenSchedulingAgent$1.run(TimerDrivenSchedulingAgent.java:127)
 [nifi-framework-core-oculus-0.7.x-SNAPSHOT.jar:oculus-0.7.x-SNAPSHOT]
        at 
java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) 
[na:1.8.0_45]
        at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308) 
[na:1.8.0_45]
 
I have not yet tried the ProduceKafka processor



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

Reply via email to