Max number of tuple replays on Storm Kafka Spout

Question

We’re using Storm with the Kafka Spout. When we fail messages, we’d like to replay them, but in some cases bad data or code errors will cause messages to always fail a Bolt,

Answer 1

As per my knowledge Storm doesn't provide built-in support for this.

I have applied below-mentioned implementation:

public class AuditMessageWriter extends BaseBolt {

        private static final long serialVersionUID = 1L;
        Map failedTuple = new HashMap<>();

        public AuditMessageWriter() {

        }

        /**
         * {@inheritDoc}
         */
        @Override
        public void prepare(Map stormConf, TopologyContext context, OutputCollector collector) {
            this.collector = collector;
            //any initialization if u want
        }

        /**
         * {@inheritDoc}
         */
        @Override
        public void execute(Tuple input) {
            try {

            //Write your processing logic
            collector.ack(input);
            } catch (Exception e2) {
            //In case of any exception save the tuple in failedTuple map with a count 1
            //Before adding the tuple in failedTuple map check the count and increase it and fail the tuple

            //if failure count reaches the limit (message reprocess limit) log that and remove from map and acknowledge the tuple
            log(input);
            ExceptionHandler.LogError(e2, "Message IO Exception");
            }

        }

        void log(Tuple input) {

            try {
                //Here u can pass result to dead queue or log that
//And ack the tuple 
            } catch (Exception e) {
                ExceptionHandler.LogError(e, "Exception while logging");
            }
        }

        @Override
        public void cleanup() {
            // To declare output fields.Not required in this alert.
        }

        @Override
        public void declareOutputFields(OutputFieldsDeclarer declarer) {
            // To declare output fields.Not required in this alert.
        }

        @Override
        public Map getComponentConfiguration() {
            return null;
        }

    }