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

Example 1 with KafkaAckable

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

the class KafkaSourceTest method testKafkaSourceSingleConsumerReadsAllMessagesInOrderFromSinglePartition.

@Test
public void testKafkaSourceSingleConsumerReadsAllMessagesInOrderFromSinglePartition() throws InterruptedException {
    String testTopic = "testTopic" + topicNum.incrementAndGet();
    int numPartitions = 1;
    kafkaServer.createTopic(testTopic, numPartitions);
    int numMessages = 10;
    for (int i = 0; i < numMessages; i++) {
        ProducerRecord<String, String> keyedMessage = new ProducerRecord<>(testTopic, "{\"messageNum\":" + i + "}");
        kafkaServer.sendMessages(keyedMessage);
    }
    KafkaSource kafkaSource = new KafkaSource(new NoopRegistry());
    Context context = mock(Context.class);
    Parameters params = ParameterTestUtils.createParameters(KafkaSourceParameters.TOPIC, testTopic, KafkaSourceParameters.PREFIX + ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest", KafkaSourceParameters.PREFIX + ConsumerConfig.GROUP_ID_CONFIG, "testKafkaConsumer-" + random.nextInt());
    when(context.getParameters()).then((Answer<Parameters>) invocation -> params);
    when(context.getWorkerInfo()).then((Answer<WorkerInfo>) invocation -> new WorkerInfo("testJobName", "testJobName-1", 1, 0, 1, MantisJobDurationType.Perpetual, "1.1.1.1"));
    when(context.getJobId()).then((Answer<String>) invocation -> "testJobName-1");
    Index index = new Index(0, 10);
    Observable<Observable<KafkaAckable>> sourceObs = kafkaSource.call(context, index);
    final CountDownLatch latch = new CountDownLatch(numMessages);
    final AtomicInteger counter = new AtomicInteger(0);
    sourceObs.flatMap(kafkaAckableObs -> kafkaAckableObs).map(kafkaAckable -> {
        Optional<Map<String, Object>> parsedEvent = kafkaAckable.getKafkaData().getParsedEvent();
        assertTrue(parsedEvent.isPresent());
        assertEquals(counter.getAndIncrement(), parsedEvent.get().get("messageNum"));
        LOGGER.info("got message on topic {} consumer Id {}", parsedEvent.get(), kafkaAckable.getKafkaData().getMantisKafkaConsumerId());
        kafkaAckable.ack();
        latch.countDown();
        return parsedEvent;
    }).subscribe();
    assertTrue("timed out waiting to get all messages from Kafka", latch.await(10, TimeUnit.SECONDS));
    kafkaServer.deleteTopic(testTopic);
}

Example 2 with KafkaAckable

use of io.mantisrx.connector.kafka.KafkaAckable 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 3 with KafkaAckable

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

the class KafkaSourceTest method testKafkaSourceMultipleConsumersReadsAllMessagesFromMultiplePartitions.

@Test
public void testKafkaSourceMultipleConsumersReadsAllMessagesFromMultiplePartitions() throws InterruptedException {
    String testTopic = "testTopic" + topicNum.incrementAndGet();
    int numPartitions = 2;
    kafkaServer.createTopic(testTopic, numPartitions);
    int numMessages = 10;
    Set<Integer> outstandingMsgs = new ConcurrentSkipListSet<>();
    for (int i = 0; i < numMessages; i++) {
        ProducerRecord<String, String> keyedMessage = new ProducerRecord<>(testTopic, "{\"messageNum\":" + i + "}");
        kafkaServer.sendMessages(keyedMessage);
        outstandingMsgs.add(i);
    }
    KafkaSource kafkaSource = new KafkaSource(new NoopRegistry());
    Context context = mock(Context.class);
    Parameters params = ParameterTestUtils.createParameters(KafkaSourceParameters.NUM_KAFKA_CONSUMER_PER_WORKER, 2, KafkaSourceParameters.TOPIC, testTopic, KafkaSourceParameters.PREFIX + ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest", KafkaSourceParameters.PREFIX + ConsumerConfig.GROUP_ID_CONFIG, "testKafkaConsumer-" + random.nextInt());
    when(context.getParameters()).then((Answer<Parameters>) invocation -> params);
    when(context.getWorkerInfo()).then((Answer<WorkerInfo>) invocation -> new WorkerInfo("testJobName", "testJobName-1", 1, 0, 1, MantisJobDurationType.Perpetual, "1.1.1.1"));
    when(context.getJobId()).then((Answer<String>) invocation -> "testJobName-1");
    Index index = new Index(0, 10);
    Observable<Observable<KafkaAckable>> sourceObs = kafkaSource.call(context, index);
    final CountDownLatch latch = new CountDownLatch(numMessages);
    final Map<Integer, Integer> lastMessageNumByConsumerId = new ConcurrentHashMap<>();
    sourceObs.flatMap(kafkaAckableObs -> kafkaAckableObs).map(kafkaAckable -> {
        Optional<Map<String, Object>> parsedEvent = kafkaAckable.getKafkaData().getParsedEvent();
        assertTrue(parsedEvent.isPresent());
        Integer messageNum = (Integer) parsedEvent.get().get("messageNum");
        assertTrue(outstandingMsgs.contains(messageNum));
        outstandingMsgs.remove(messageNum);
        int mantisKafkaConsumerId = kafkaAckable.getKafkaData().getMantisKafkaConsumerId();
        lastMessageNumByConsumerId.putIfAbsent(mantisKafkaConsumerId, -1);
        // assert consumption of higher message numbers across consumer instances
        assertTrue(messageNum > lastMessageNumByConsumerId.get(mantisKafkaConsumerId));
        lastMessageNumByConsumerId.put(mantisKafkaConsumerId, messageNum);
        LOGGER.info("got message on topic {} consumer id {}", parsedEvent.get(), mantisKafkaConsumerId);
        kafkaAckable.ack();
        latch.countDown();
        return parsedEvent;
    }).doOnError(t -> {
        LOGGER.error("caught unexpected exception", t);
        fail("test failed due to unexpected error " + t.getMessage());
    }).subscribe();
    assertTrue("timed out waiting to get all messages from Kafka", latch.await(10, TimeUnit.SECONDS));
    assertEquals(0, outstandingMsgs.size());
    assertTrue(lastMessageNumByConsumerId.keySet().size() == 2);
    lastMessageNumByConsumerId.keySet().forEach(consumerId -> {
        assertTrue(lastMessageNumByConsumerId.get(consumerId) >= 0);
    });
    kafkaServer.deleteTopic(testTopic);
}

Example 4 with KafkaAckable

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

the class KafkaSourceTest method testKafkaSourceSingleConsumerHandlesMessageParseFailures.

@Test
public void testKafkaSourceSingleConsumerHandlesMessageParseFailures() throws InterruptedException {
    String testTopic = "testTopic" + topicNum.incrementAndGet();
    int numPartitions = 1;
    kafkaServer.createTopic(testTopic, numPartitions);
    int numMessages = 10;
    for (int i = 0; i < numMessages; i++) {
        ProducerRecord<String, String> keyedMessage = new ProducerRecord<>(testTopic, "{\"messageNum\":" + i + "}");
        kafkaServer.sendMessages(keyedMessage);
        ProducerRecord<String, String> invalidJsonMessage = new ProducerRecord<>(testTopic, "{\"messageNum:" + i + "}");
        kafkaServer.sendMessages(invalidJsonMessage);
    }
    KafkaSource kafkaSource = new KafkaSource(new NoopRegistry());
    Context context = mock(Context.class);
    Parameters params = ParameterTestUtils.createParameters(KafkaSourceParameters.TOPIC, testTopic, KafkaSourceParameters.PREFIX + ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest", KafkaSourceParameters.PREFIX + ConsumerConfig.GROUP_ID_CONFIG, "testKafkaConsumer-" + random.nextInt());
    when(context.getParameters()).then((Answer<Parameters>) invocation -> params);
    when(context.getWorkerInfo()).then((Answer<WorkerInfo>) invocation -> new WorkerInfo("testJobName", "testJobName-1", 1, 0, 1, MantisJobDurationType.Perpetual, "1.1.1.1"));
    when(context.getJobId()).then((Answer<String>) invocation -> "testJobName-1");
    Index index = new Index(0, 10);
    Observable<Observable<KafkaAckable>> sourceObs = kafkaSource.call(context, index);
    final CountDownLatch latch = new CountDownLatch(numMessages);
    final AtomicInteger counter = new AtomicInteger(0);
    sourceObs.flatMap(kafkaAckableObs -> kafkaAckableObs).map(kafkaAckable -> {
        Optional<Map<String, Object>> parsedEvent = kafkaAckable.getKafkaData().getParsedEvent();
        assertTrue(parsedEvent.isPresent());
        assertEquals(counter.getAndIncrement(), parsedEvent.get().get("messageNum"));
        LOGGER.info("got message on topic {} consumer Id {}", parsedEvent.get(), kafkaAckable.getKafkaData().getMantisKafkaConsumerId());
        kafkaAckable.ack();
        latch.countDown();
        return parsedEvent;
    }).subscribe();
    assertTrue("timed out waiting to get all messages from Kafka", latch.await(30, TimeUnit.SECONDS));
    kafkaServer.deleteTopic(testTopic);
}

Example 5 with KafkaAckable

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

the class KafkaSourceTest method testKafkaSourceMultipleConsumersStaticPartitionAssignment.

@Test
public void testKafkaSourceMultipleConsumersStaticPartitionAssignment() throws InterruptedException {
    String testTopic = "testTopic" + topicNum.incrementAndGet();
    int numConsumers = 3;
    int numPartitions = 3;
    kafkaServer.createTopic(testTopic, numPartitions);
    int numMessages = 10;
    Set<Integer> outstandingMsgs = new ConcurrentSkipListSet<>();
    for (int i = 0; i < numMessages; i++) {
        ProducerRecord<String, String> keyedMessage = new ProducerRecord<>(testTopic, "{\"messageNum\":" + i + "}");
        kafkaServer.sendMessages(keyedMessage);
        outstandingMsgs.add(i);
    }
    KafkaSource kafkaSource = new KafkaSource(new NoopRegistry());
    Context context = mock(Context.class);
    Parameters params = ParameterTestUtils.createParameters(KafkaSourceParameters.NUM_KAFKA_CONSUMER_PER_WORKER, numConsumers, KafkaSourceParameters.TOPIC, testTopic, KafkaSourceParameters.ENABLE_STATIC_PARTITION_ASSIGN, true, KafkaSourceParameters.TOPIC_PARTITION_COUNTS, testTopic + ":" + numPartitions, KafkaSourceParameters.PREFIX + ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest", KafkaSourceParameters.PREFIX + ConsumerConfig.GROUP_ID_CONFIG, "testKafkaConsumer-" + random.nextInt());
    when(context.getParameters()).then((Answer<Parameters>) invocation -> params);
    when(context.getWorkerInfo()).then((Answer<WorkerInfo>) invocation -> new WorkerInfo("testJobName", "testJobName-1", 1, 0, 1, MantisJobDurationType.Perpetual, "1.1.1.1"));
    when(context.getJobId()).then((Answer<String>) invocation -> "testJobName-1");
    // Force all consumer instances to be created on same JVM by setting total number of workers for this job to 1
    int totalNumWorkerForJob = 1;
    Index index = new Index(0, totalNumWorkerForJob);
    Observable<Observable<KafkaAckable>> sourceObs = kafkaSource.call(context, index);
    final CountDownLatch latch = new CountDownLatch(numMessages);
    final Map<Integer, Integer> lastMessageNumByConsumerId = new ConcurrentHashMap<>();
    sourceObs.flatMap(kafkaAckableObs -> kafkaAckableObs).map(kafkaAckable -> {
        Optional<Map<String, Object>> parsedEvent = kafkaAckable.getKafkaData().getParsedEvent();
        assertTrue(parsedEvent.isPresent());
        Integer messageNum = (Integer) parsedEvent.get().get("messageNum");
        assertTrue(outstandingMsgs.contains(messageNum));
        outstandingMsgs.remove(messageNum);
        int mantisKafkaConsumerId = kafkaAckable.getKafkaData().getMantisKafkaConsumerId();
        lastMessageNumByConsumerId.putIfAbsent(mantisKafkaConsumerId, -1);
        // assert consumption of higher message numbers across consumer instances
        assertTrue(messageNum > lastMessageNumByConsumerId.get(mantisKafkaConsumerId));
        lastMessageNumByConsumerId.put(mantisKafkaConsumerId, messageNum);
        LOGGER.info("got message on topic {} consumer id {}", parsedEvent.get(), mantisKafkaConsumerId);
        kafkaAckable.ack();
        latch.countDown();
        return parsedEvent;
    }).doOnError(t -> {
        LOGGER.error("caught unexpected exception", t);
        fail("test failed due to unexpected error " + t.getMessage());
    }).subscribe();
    assertTrue("timed out waiting to get all messages from Kafka", latch.await(10, TimeUnit.SECONDS));
    assertEquals(0, outstandingMsgs.size());
    assertTrue(lastMessageNumByConsumerId.keySet().size() == numConsumers);
    lastMessageNumByConsumerId.keySet().forEach(consumerId -> {
        assertTrue(lastMessageNumByConsumerId.get(consumerId) >= 0);
    });
    kafkaServer.deleteTopic(testTopic);
}