Examples with KafkaData io.mantisrx.connector.kafka.KafkaData used on opensource projects

Example 1 with KafkaData

use of io.mantisrx.connector.kafka.KafkaData in project mantis by Netflix.

the class KafkaSource method createBackPressuredConsumerObs.

/**
 * Create an observable with back pressure semantics from the consumer records fetched using consumer.
 *
 * @param mantisKafkaConsumer non thread-safe KafkaConsumer
 * @param kafkaSourceConfig   configuration for the Mantis Kafka Source
 */
private Observable<KafkaAckable> createBackPressuredConsumerObs(final MantisKafkaConsumer<?> mantisKafkaConsumer, final MantisKafkaSourceConfig kafkaSourceConfig) {
    CheckpointStrategy checkpointStrategy = mantisKafkaConsumer.getStrategy();
    final CheckpointTrigger trigger = mantisKafkaConsumer.getTrigger();
    final ConsumerMetrics consumerMetrics = mantisKafkaConsumer.getConsumerMetrics();
    final TopicPartitionStateManager partitionStateManager = mantisKafkaConsumer.getPartitionStateManager();
    int mantisKafkaConsumerId = mantisKafkaConsumer.getConsumerId();
    SyncOnSubscribe<Iterator<ConsumerRecord<String, byte[]>>, KafkaAckable> syncOnSubscribe = SyncOnSubscribe.createStateful(() -> {
        final ConsumerRecords<String, byte[]> records = mantisKafkaConsumer.poll(kafkaSourceConfig.getConsumerPollTimeoutMs());
        if (LOGGER.isDebugEnabled()) {
            LOGGER.debug("topic listing for consumer {}", mantisKafkaConsumer.listTopics());
        }
        LOGGER.info("consumer subscribed to topic-partitions {}", mantisKafkaConsumer.assignment());
        return records.iterator();
    }, (consumerRecordIterator, observer) -> {
        Iterator<ConsumerRecord<String, byte[]>> it = consumerRecordIterator;
        final Set<TopicPartition> partitions = mantisKafkaConsumer.assignment();
        if (trigger.shouldCheckpoint()) {
            long startTime = System.currentTimeMillis();
            final Map<TopicPartition, OffsetAndMetadata> checkpoint = partitionStateManager.createCheckpoint(partitions);
            checkpointStrategy.persistCheckpoint(checkpoint);
            long now = System.currentTimeMillis();
            consumerMetrics.recordCheckpointDelay(now - startTime);
            consumerMetrics.incrementCommitCount();
            trigger.reset();
        }
        if (!done.get()) {
            try {
                if (!consumerRecordIterator.hasNext()) {
                    final ConsumerRecords<String, byte[]> consumerRecords = mantisKafkaConsumer.poll(kafkaSourceConfig.getConsumerPollTimeoutMs());
                    if (LOGGER.isDebugEnabled()) {
                        LOGGER.debug("poll returned {} records", consumerRecords.count());
                    }
                    it = consumerRecords.iterator();
                }
                if (it.hasNext()) {
                    final ConsumerRecord<String, byte[]> m = it.next();
                    final TopicPartition topicPartition = new TopicPartition(m.topic(), m.partition());
                    consumerMetrics.incrementInCount();
                    if (LOGGER.isDebugEnabled()) {
                        LOGGER.debug("updating read offset to " + m.offset() + " read " + m.value());
                    }
                    if (m.value() != null) {
                        try {
                            trigger.update(getPayloadSize(m));
                            if (kafkaSourceConfig.getParseMessageInSource()) {
                                final Parser parser = ParserType.parser(kafkaSourceConfig.getMessageParserType()).getParser();
                                if (parser.canParse(m.value())) {
                                    final Map<String, Object> parsedKafkaValue = parser.parseMessage(m.value());
                                    final KafkaData kafkaData = new KafkaData(m, Optional.ofNullable(parsedKafkaValue), Optional.ofNullable(m.key()), mantisKafkaConsumerId);
                                    final KafkaAckable ackable = new KafkaAckable(kafkaData, ackSubject);
                                    // record offset consumed in TopicPartitionStateManager before onNext to avoid race condition with Ack being processed before the consume is recorded
                                    partitionStateManager.recordMessageRead(topicPartition, m.offset());
                                    consumerMetrics.recordReadOffset(topicPartition, m.offset());
                                    observer.onNext(ackable);
                                } else {
                                    consumerMetrics.incrementParseFailureCount();
                                }
                            } else {
                                final KafkaData kafkaData = new KafkaData(m, Optional.empty(), Optional.ofNullable(m.key()), mantisKafkaConsumerId);
                                final KafkaAckable ackable = new KafkaAckable(kafkaData, ackSubject);
                                // record offset consumed in TopicPartitionStateManager before onNext to avoid race condition with Ack being processed before the consume is recorded
                                partitionStateManager.recordMessageRead(topicPartition, m.offset());
                                consumerMetrics.recordReadOffset(topicPartition, m.offset());
                                observer.onNext(ackable);
                            }
                        } catch (ParseException pe) {
                            consumerMetrics.incrementErrorCount();
                            LOGGER.warn("failed to parse {}:{} message {}", m.topic(), m.partition(), m.value(), pe);
                        }
                    } else {
                        consumerMetrics.incrementKafkaMessageValueNullCount();
                    }
                } else {
                    consumerMetrics.incrementWaitForDataCount();
                    if (LOGGER.isDebugEnabled()) {
                        LOGGER.debug("Reached head of partition, waiting for more data");
                    }
                    TimeUnit.MILLISECONDS.sleep(200);
                }
            } catch (TimeoutException toe) {
                consumerMetrics.incrementWaitForDataCount();
                if (LOGGER.isDebugEnabled()) {
                    LOGGER.debug("Reached head of partition waiting for more data");
                }
            } catch (OffsetOutOfRangeException oore) {
                LOGGER.warn("offsets out of range " + oore.partitions() + " will seek to beginning", oore);
                final Set<TopicPartition> topicPartitionSet = oore.partitions();
                for (TopicPartition tp : topicPartitionSet) {
                    LOGGER.info("partition {} consumer position {}", tp, mantisKafkaConsumer.position(tp));
                }
                mantisKafkaConsumer.seekToBeginning(oore.partitions().toArray(new TopicPartition[oore.partitions().size()]));
            } catch (InvalidRecordException ire) {
                consumerMetrics.incrementErrorCount();
                LOGGER.warn("iterator error with invalid message. message will be dropped " + ire.getMessage());
            } catch (KafkaException e) {
                consumerMetrics.incrementErrorCount();
                LOGGER.warn("Other Kafka exception, message will be dropped. " + e.getMessage());
            } catch (InterruptedException ie) {
                LOGGER.error("consumer interrupted", ie);
                Thread.currentThread().interrupt();
            } catch (Exception e) {
                consumerMetrics.incrementErrorCount();
                LOGGER.warn("caught exception", e);
            }
        } else {
            mantisKafkaConsumer.close();
        }
        return it;
    }, consumerRecordIterator -> {
        LOGGER.info("closing Kafka consumer on unsubscribe" + mantisKafkaConsumer.toString());
        mantisKafkaConsumer.close();
    });
    return Observable.create(syncOnSubscribe).subscribeOn(Schedulers.newThread()).doOnUnsubscribe(() -> LOGGER.info("consumer {} stopped due to unsubscribe", mantisKafkaConsumerId)).doOnError((t) -> {
        LOGGER.error("consumer {} stopped due to error", mantisKafkaConsumerId, t);
        consumerMetrics.incrementErrorCount();
    }).doOnTerminate(() -> LOGGER.info("consumer {} terminated", mantisKafkaConsumerId));
}

Example 2 with KafkaData

use of io.mantisrx.connector.kafka.KafkaData in project mantis by Netflix.

the class KafkaSource method processAckNotification.

private void processAckNotification(final KafkaDataNotification notification) {
    final KafkaData kafkaData = notification.getValue();
    final TopicPartition topicPartition = new TopicPartition(kafkaData.getTopic(), kafkaData.getPartition());
    MantisKafkaConsumer<?> mantisKafkaConsumer = idToConsumerMap.get(kafkaData.getMantisKafkaConsumerId());
    if (mantisKafkaConsumer != null) {
        mantisKafkaConsumer.getPartitionStateManager().recordMessageAck(topicPartition, kafkaData.getOffset());
        if (!notification.isSuccess()) {
            // TODO provide a hook for the user to add handling for messages that could not be processed
            LOGGER.debug("Got negative acknowledgement {}", notification);
        }
        mantisKafkaConsumer.getConsumerMetrics().incrementProcessedCount();
    } else {
        if (LOGGER.isDebugEnabled()) {
            LOGGER.debug("got Ack for consumer id {} not in idToConsumerMap (topic {})", kafkaData.getMantisKafkaConsumerId(), kafkaData.getTopic());
        }
    }
}