Kishore Senji created STORM-2352:
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             Summary: New Kafka spout retries for ever even with retries of 5
                 Key: STORM-2352
                 URL: https://issues.apache.org/jira/browse/STORM-2352
             Project: Apache Storm
          Issue Type: Bug
          Components: storm-kafka-client
    Affects Versions: 1.0.0, 1.1.0
            Reporter: Kishore Senji


v1.0.0 and above

KafkaSpout is created with a KafkaSpoutConfig having maxRetries of 5. Still the 
KafkaSpout retries the failed Tuple forever. 

Reason:
The numFails are incremented in fail() method of KafkaSpout.
{code}
public void fail(Object messageId) {
        final KafkaSpoutMessageId msgId = (KafkaSpoutMessageId) messageId;
        emitted.remove(msgId);
        if (msgId.numFails() < maxRetries) {
            msgId.incrementNumFails();
            retryService.schedule(msgId);
        } else { // limit to max number of retries
            LOG.debug("Reached maximum number of retries. Message [{}] being 
marked as acked.", msgId);
            ack(msgId);
        }
    }
{code}

However the emitTupleIfNotEmitted() creates a new KafkaSpoutMessageId  and 
checks if the msgId is ready to be emitted (in the case of failure) and if so 
emits the new msgId instance (thus losing the numFails from the previous time)

{code}
    private void emitTupleIfNotEmitted(ConsumerRecord<K, V> record) {
        final TopicPartition tp = new TopicPartition(record.topic(), 
record.partition());
        final KafkaSpoutMessageId msgId = new KafkaSpoutMessageId(record);

        if (acked.containsKey(tp) && acked.get(tp).contains(msgId)) {   // has 
been acked
            LOG.trace("Tuple for record [{}] has already been acked. Skipping", 
record);
        } else if (emitted.contains(msgId)) {   // has been emitted and it's 
pending ack or fail
            LOG.trace("Tuple for record [{}] has already been emitted. 
Skipping", record);
        } else if (!retryService.isScheduled(msgId) || 
retryService.isReady(msgId)) {   // not scheduled <=> never failed (i.e. never 
emitted) or ready to be retried
            final List<Object> tuple = tuplesBuilder.buildTuple(record);
            kafkaSpoutStreams.emit(collector, tuple, msgId);
            emitted.add(msgId);
            numUncommittedOffsets++;
            if (retryService.isReady(msgId)) { // has failed. Is it ready for 
retry ?
                retryService.remove(msgId);  // re-emitted hence remove from 
failed
            }
            LOG.trace("Emitted tuple [{}] for record [{}]", tuple, record);
        }
    }
{code}

isReady() is not a side-effect. It just looks up and returns true. Fix is to 
either modify the RetryService interface to convey back the msgId in the 
RetryService or make the isReady() a side-effect to attach the numFails from 
the previous time



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