Examples with MockConsumer org.apache.kafka.clients.consumer.MockConsumer used on opensource projects

Example 26 with MockConsumer

use of org.apache.kafka.clients.consumer.MockConsumer in project kafka by apache.

the class StreamThreadTest method shouldChangeStateInRebalanceListener.

@Test
public void shouldChangeStateInRebalanceListener() {
    final StreamThread thread = createStreamThread(CLIENT_ID, config, false);
    final StateListenerStub stateListener = new StateListenerStub();
    thread.setStateListener(stateListener);
    assertEquals(thread.state(), StreamThread.State.CREATED);
    final ConsumerRebalanceListener rebalanceListener = thread.rebalanceListener();
    final List<TopicPartition> revokedPartitions;
    final List<TopicPartition> assignedPartitions;
    // revoke nothing
    thread.setState(StreamThread.State.STARTING);
    revokedPartitions = Collections.emptyList();
    rebalanceListener.onPartitionsRevoked(revokedPartitions);
    assertEquals(thread.state(), StreamThread.State.PARTITIONS_REVOKED);
    // assign single partition
    assignedPartitions = Collections.singletonList(t1p1);
    final MockConsumer<byte[], byte[]> mockConsumer = (MockConsumer<byte[], byte[]>) thread.mainConsumer();
    mockConsumer.assign(assignedPartitions);
    mockConsumer.updateBeginningOffsets(Collections.singletonMap(t1p1, 0L));
    rebalanceListener.onPartitionsAssigned(assignedPartitions);
    thread.runOnce();
    assertEquals(thread.state(), StreamThread.State.RUNNING);
    Assert.assertEquals(4, stateListener.numChanges);
    Assert.assertEquals(StreamThread.State.PARTITIONS_ASSIGNED, stateListener.oldState);
    thread.shutdown();
    assertSame(StreamThread.State.PENDING_SHUTDOWN, thread.state());
}

Example 27 with MockConsumer

use of org.apache.kafka.clients.consumer.MockConsumer in project kafka by apache.

the class StreamTaskTest method createDisconnectedTask.

private StreamTask createDisconnectedTask(final StreamsConfig config) {
    final MockKeyValueStore stateStore = new MockKeyValueStore(storeName, false);
    final ProcessorTopology topology = ProcessorTopologyFactories.with(asList(source1, source2), mkMap(mkEntry(topic1, source1), mkEntry(topic2, source2)), singletonList(stateStore), emptyMap());
    final MockConsumer<byte[], byte[]> consumer = new MockConsumer<byte[], byte[]>(OffsetResetStrategy.EARLIEST) {

        @Override
        public Map<TopicPartition, OffsetAndMetadata> committed(final Set<TopicPartition> partitions) {
            throw new TimeoutException("KABOOM!");
        }
    };
    final InternalProcessorContext context = new ProcessorContextImpl(taskId, config, stateManager, streamsMetrics, null);
    return new StreamTask(taskId, partitions, topology, consumer, new TopologyConfig(null, config, new Properties()).getTaskConfig(), streamsMetrics, stateDirectory, cache, time, stateManager, recordCollector, context, logContext);
}

Example 28 with MockConsumer

use of org.apache.kafka.clients.consumer.MockConsumer in project kafka by apache.

the class GlobalStreamThreadTest method before.

@Before
public void before() {
    final MaterializedInternal<Object, Object, KeyValueStore<Bytes, byte[]>> materialized = new MaterializedInternal<>(Materialized.with(null, null), new InternalNameProvider() {

        @Override
        public String newProcessorName(final String prefix) {
            return "processorName";
        }

        @Override
        public String newStoreName(final String prefix) {
            return GLOBAL_STORE_NAME;
        }
    }, "store-");
    final ProcessorSupplier<Object, Object, Void, Void> processorSupplier = () -> new ContextualProcessor<Object, Object, Void, Void>() {

        @Override
        public void process(final Record<Object, Object> record) {
        }
    };
    builder.addGlobalStore(new TimestampedKeyValueStoreMaterializer<>(materialized).materialize().withLoggingDisabled(), "sourceName", null, null, null, GLOBAL_STORE_TOPIC_NAME, "processorName", processorSupplier);
    baseDirectoryName = TestUtils.tempDirectory().getAbsolutePath();
    final HashMap<String, Object> properties = new HashMap<>();
    properties.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, "blah");
    properties.put(StreamsConfig.APPLICATION_ID_CONFIG, "testAppId");
    properties.put(StreamsConfig.STATE_DIR_CONFIG, baseDirectoryName);
    properties.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.ByteArraySerde.class.getName());
    properties.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.ByteArraySerde.class.getName());
    config = new StreamsConfig(properties);
    globalStreamThread = new GlobalStreamThread(builder.rewriteTopology(config).buildGlobalStateTopology(), config, mockConsumer, new StateDirectory(config, time, true, false), 0, new StreamsMetricsImpl(new Metrics(), "test-client", StreamsConfig.METRICS_LATEST, time), time, "clientId", stateRestoreListener, e -> {
    });
}

Example 29 with MockConsumer

use of org.apache.kafka.clients.consumer.MockConsumer in project beam by apache.

the class KafkaIOTest method mkMockConsumer.

// Update mock consumer with records distributed among the given topics, each with given number
// of partitions. Records are assigned in round-robin order among the partitions.
private static MockConsumer<byte[], byte[]> mkMockConsumer(List<String> topics, int partitionsPerTopic, int numElements, OffsetResetStrategy offsetResetStrategy, Map<String, Object> config, SerializableFunction<Integer, byte[]> keyFunction, SerializableFunction<Integer, byte[]> valueFunction) {
    final List<TopicPartition> partitions = new ArrayList<>();
    final Map<TopicPartition, List<ConsumerRecord<byte[], byte[]>>> records = new HashMap<>();
    Map<String, List<PartitionInfo>> partitionMap = new HashMap<>();
    for (String topic : topics) {
        List<PartitionInfo> partIds = new ArrayList<>(partitionsPerTopic);
        for (int i = 0; i < partitionsPerTopic; i++) {
            TopicPartition tp = new TopicPartition(topic, i);
            partitions.add(tp);
            partIds.add(new PartitionInfo(topic, i, null, null, null));
            records.put(tp, new ArrayList<>());
        }
        partitionMap.put(topic, partIds);
    }
    int numPartitions = partitions.size();
    final long[] offsets = new long[numPartitions];
    long timestampStartMillis = (Long) config.getOrDefault(TIMESTAMP_START_MILLIS_CONFIG, LOG_APPEND_START_TIME.getMillis());
    TimestampType timestampType = TimestampType.forName((String) config.getOrDefault(TIMESTAMP_TYPE_CONFIG, TimestampType.LOG_APPEND_TIME.toString()));
    for (int i = 0; i < numElements; i++) {
        int pIdx = i % numPartitions;
        TopicPartition tp = partitions.get(pIdx);
        byte[] key = keyFunction.apply(i);
        byte[] value = valueFunction.apply(i);
        records.get(tp).add(new ConsumerRecord<>(tp.topic(), tp.partition(), offsets[pIdx]++, timestampStartMillis + Duration.standardSeconds(i).getMillis(), timestampType, 0, key.length, value.length, key, value));
    }
    // This is updated when reader assigns partitions.
    final AtomicReference<List<TopicPartition>> assignedPartitions = new AtomicReference<>(Collections.<TopicPartition>emptyList());
    final MockConsumer<byte[], byte[]> consumer = new MockConsumer<byte[], byte[]>(offsetResetStrategy) {

        @Override
        public synchronized void assign(final Collection<TopicPartition> assigned) {
            super.assign(assigned);
            assignedPartitions.set(ImmutableList.copyOf(assigned));
            for (TopicPartition tp : assigned) {
                updateBeginningOffsets(ImmutableMap.of(tp, 0L));
                updateEndOffsets(ImmutableMap.of(tp, (long) records.get(tp).size()));
            }
        }

        // Override offsetsForTimes() in order to look up the offsets by timestamp.
        @Override
        public synchronized Map<TopicPartition, OffsetAndTimestamp> offsetsForTimes(Map<TopicPartition, Long> timestampsToSearch) {
            return timestampsToSearch.entrySet().stream().map(e -> {
                // In test scope, timestamp == offset.
                long maxOffset = offsets[partitions.indexOf(e.getKey())];
                long offset = e.getValue();
                OffsetAndTimestamp value = (offset >= maxOffset) ? null : new OffsetAndTimestamp(offset, offset);
                return new SimpleEntry<>(e.getKey(), value);
            }).collect(Collectors.toMap(SimpleEntry::getKey, SimpleEntry::getValue));
        }
    };
    for (String topic : topics) {
        consumer.updatePartitions(topic, partitionMap.get(topic));
    }
    // MockConsumer does not maintain any relationship between partition seek position and the
    // records added. e.g. if we add 10 records to a partition and then seek to end of the
    // partition, MockConsumer is still going to return the 10 records in next poll. It is
    // our responsibility to make sure currently enqueued records sync with partition offsets.
    // The following task will be called inside each invocation to MockConsumer.poll().
    // We enqueue only the records with the offset >= partition's current position.
    Runnable recordEnqueueTask = new Runnable() {

        @Override
        public void run() {
            // add all the records with offset >= current partition position.
            int recordsAdded = 0;
            for (TopicPartition tp : assignedPartitions.get()) {
                long curPos = consumer.position(tp);
                for (ConsumerRecord<byte[], byte[]> r : records.get(tp)) {
                    if (r.offset() >= curPos) {
                        consumer.addRecord(r);
                        recordsAdded++;
                    }
                }
            }
            if (recordsAdded == 0) {
                if (config.get("inject.error.at.eof") != null) {
                    consumer.setException(new KafkaException("Injected error in consumer.poll()"));
                }
                // MockConsumer.poll(timeout) does not actually wait even when there aren't any
                // records.
                // Add a small wait here in order to avoid busy looping in the reader.
                Uninterruptibles.sleepUninterruptibly(10, TimeUnit.MILLISECONDS);
            // TODO: BEAM-4086: testUnboundedSourceWithoutBoundedWrapper() occasionally hangs
            // without this wait. Need to look into it.
            }
            consumer.schedulePollTask(this);
        }
    };
    consumer.schedulePollTask(recordEnqueueTask);
    return consumer;
}

Example 30 with MockConsumer

use of org.apache.kafka.clients.consumer.MockConsumer in project beam by apache.

the class KafkaTestTable method mkMockConsumer.

private MockConsumer<byte[], byte[]> mkMockConsumer(Map<String, Object> config) {
    OffsetResetStrategy offsetResetStrategy = OffsetResetStrategy.EARLIEST;
    final Map<TopicPartition, List<ConsumerRecord<byte[], byte[]>>> kafkaRecords = new HashMap<>();
    Map<String, List<PartitionInfo>> partitionInfoMap = new HashMap<>();
    Map<String, List<TopicPartition>> partitionMap = new HashMap<>();
    // Create Topic Paritions
    for (String topic : this.getTopics()) {
        List<PartitionInfo> partIds = new ArrayList<>(partitionsPerTopic);
        List<TopicPartition> topicParitions = new ArrayList<>(partitionsPerTopic);
        for (int i = 0; i < partitionsPerTopic; i++) {
            TopicPartition tp = new TopicPartition(topic, i);
            topicParitions.add(tp);
            partIds.add(new PartitionInfo(topic, i, null, null, null));
            kafkaRecords.put(tp, new ArrayList<>());
        }
        partitionInfoMap.put(topic, partIds);
        partitionMap.put(topic, topicParitions);
    }
    TimestampType timestampType = TimestampType.forName((String) config.getOrDefault(TIMESTAMP_TYPE_CONFIG, TimestampType.LOG_APPEND_TIME.toString()));
    for (KafkaTestRecord record : this.records) {
        int partitionIndex = record.getKey().hashCode() % partitionsPerTopic;
        TopicPartition tp = partitionMap.get(record.getTopic()).get(partitionIndex);
        byte[] key = record.getKey().getBytes(UTF_8);
        byte[] value = record.getValue().toByteArray();
        kafkaRecords.get(tp).add(new ConsumerRecord<>(tp.topic(), tp.partition(), kafkaRecords.get(tp).size(), record.getTimeStamp(), timestampType, 0, key.length, value.length, key, value));
    }
    // This is updated when reader assigns partitions.
    final AtomicReference<List<TopicPartition>> assignedPartitions = new AtomicReference<>(Collections.emptyList());
    final MockConsumer<byte[], byte[]> consumer = new MockConsumer<byte[], byte[]>(offsetResetStrategy) {

        @Override
        public synchronized void assign(final Collection<TopicPartition> assigned) {
            Collection<TopicPartition> realPartitions = assigned.stream().map(part -> partitionMap.get(part.topic()).get(part.partition())).collect(Collectors.toList());
            super.assign(realPartitions);
            assignedPartitions.set(ImmutableList.copyOf(realPartitions));
            for (TopicPartition tp : realPartitions) {
                updateBeginningOffsets(ImmutableMap.of(tp, 0L));
                updateEndOffsets(ImmutableMap.of(tp, (long) kafkaRecords.get(tp).size()));
            }
        }

        // Override offsetsForTimes() in order to look up the offsets by timestamp.
        @Override
        public synchronized Map<TopicPartition, OffsetAndTimestamp> offsetsForTimes(Map<TopicPartition, Long> timestampsToSearch) {
            return timestampsToSearch.entrySet().stream().map(e -> {
                // In test scope, timestamp == offset. ????
                long maxOffset = kafkaRecords.get(e.getKey()).size();
                long offset = e.getValue();
                OffsetAndTimestamp value = (offset >= maxOffset) ? null : new OffsetAndTimestamp(offset, offset);
                return new AbstractMap.SimpleEntry<>(e.getKey(), value);
            }).collect(Collectors.toMap(AbstractMap.SimpleEntry::getKey, AbstractMap.SimpleEntry::getValue));
        }
    };
    for (String topic : getTopics()) {
        consumer.updatePartitions(topic, partitionInfoMap.get(topic));
    }
    Runnable recordEnqueueTask = new Runnable() {

        @Override
        public void run() {
            // add all the records with offset >= current partition position.
            int recordsAdded = 0;
            for (TopicPartition tp : assignedPartitions.get()) {
                long curPos = consumer.position(tp);
                for (ConsumerRecord<byte[], byte[]> r : kafkaRecords.get(tp)) {
                    if (r.offset() >= curPos) {
                        consumer.addRecord(r);
                        recordsAdded++;
                    }
                }
            }
            if (recordsAdded == 0) {
                if (config.get("inject.error.at.eof") != null) {
                    consumer.setException(new KafkaException("Injected error in consumer.poll()"));
                }
                // MockConsumer.poll(timeout) does not actually wait even when there aren't any
                // records.
                // Add a small wait here in order to avoid busy looping in the reader.
                Uninterruptibles.sleepUninterruptibly(10, TimeUnit.MILLISECONDS);
            }
            consumer.schedulePollTask(this);
        }
    };
    consumer.schedulePollTask(recordEnqueueTask);
    return consumer;
}