kafka反序列化错误处理

当消费者发生反序列化失败时会导致消费者偏移量不会向后移动，而且海量的错误日志会将磁盘写满，因此需要针对此类错误进行手动处理

    ConcurrentKafkaListenerContainerFactory factory =
            new ConcurrentKafkaListenerContainerFactory<>();
        factory.setConsumerFactory(consumerFactory);

        factory.setCommonErrorHandler(new CommonErrorHandler(){
            @Override
            public void handleOtherException(Exception thrownException, Consumer consumer, MessageListenerContainer container, boolean batchListener) {
                String s = thrownException.getMessage().split("Error deserializing key/value for partition ")[1].split(". If needed, please seek past the record to continue consumption.")[0];
                String topics = s.split("-")[0];
                int offset = Integer.parseInt(s.split("offset ")[1]);
                int partition = Integer.parseInt(s.split("-")[1].split(" at")[0]);

                TopicPartition topicPartition = new TopicPartition(topics, partition);
                consumer.seek(topicPartition, offset + 1);
                consumer.commitAsync();
                LOG.error("Skipping " + topics + "-" + partition + " offset " + offset);
            }
        });