Examples with PartitionInfo org.apache.kafka.common.PartitionInfo used on opensource projects

Example 46 with PartitionInfo

use of org.apache.kafka.common.PartitionInfo in project kafka by apache.

the class StreamPartitionAssignor method assign.

/*
     * This assigns tasks to consumer clients in the following steps.
     *
     * 0. check all repartition source topics and use internal topic manager to make sure
     *    they have been created with the right number of partitions.
     *
     * 1. using user customized partition grouper to generate tasks along with their
     *    assigned partitions; also make sure that the task's corresponding changelog topics
     *    have been created with the right number of partitions.
     *
     * 2. using TaskAssignor to assign tasks to consumer clients.
     *    - Assign a task to a client which was running it previously.
     *      If there is no such client, assign a task to a client which has its valid local state.
     *    - A client may have more than one stream threads.
     *      The assignor tries to assign tasks to a client proportionally to the number of threads.
     *    - We try not to assign the same set of tasks to two different clients
     *    We do the assignment in one-pass. The result may not satisfy above all.
     *
     * 3. within each client, tasks are assigned to consumer clients in round-robin manner.
     */
@Override
public Map<String, Assignment> assign(Cluster metadata, Map<String, Subscription> subscriptions) {
    // construct the client metadata from the decoded subscription info
    Map<UUID, ClientMetadata> clientsMetadata = new HashMap<>();
    for (Map.Entry<String, Subscription> entry : subscriptions.entrySet()) {
        String consumerId = entry.getKey();
        Subscription subscription = entry.getValue();
        SubscriptionInfo info = SubscriptionInfo.decode(subscription.userData());
        // create the new client metadata if necessary
        ClientMetadata clientMetadata = clientsMetadata.get(info.processId);
        if (clientMetadata == null) {
            clientMetadata = new ClientMetadata(info.userEndPoint);
            clientsMetadata.put(info.processId, clientMetadata);
        }
        // add the consumer to the client
        clientMetadata.addConsumer(consumerId, info);
    }
    log.info("stream-thread [{}] Constructed client metadata {} from the member subscriptions.", streamThread.getName(), clientsMetadata);
    // ---------------- Step Zero ---------------- //
    // parse the topology to determine the repartition source topics,
    // making sure they are created with the number of partitions as
    // the maximum of the depending sub-topologies source topics' number of partitions
    Map<Integer, TopologyBuilder.TopicsInfo> topicGroups = streamThread.builder.topicGroups();
    Map<String, InternalTopicMetadata> repartitionTopicMetadata = new HashMap<>();
    for (TopologyBuilder.TopicsInfo topicsInfo : topicGroups.values()) {
        for (InternalTopicConfig topic : topicsInfo.repartitionSourceTopics.values()) {
            repartitionTopicMetadata.put(topic.name(), new InternalTopicMetadata(topic));
        }
    }
    boolean numPartitionsNeeded;
    do {
        numPartitionsNeeded = false;
        for (TopologyBuilder.TopicsInfo topicsInfo : topicGroups.values()) {
            for (String topicName : topicsInfo.repartitionSourceTopics.keySet()) {
                int numPartitions = repartitionTopicMetadata.get(topicName).numPartitions;
                // try set the number of partitions for this repartition topic if it is not set yet
                if (numPartitions == UNKNOWN) {
                    for (TopologyBuilder.TopicsInfo otherTopicsInfo : topicGroups.values()) {
                        Set<String> otherSinkTopics = otherTopicsInfo.sinkTopics;
                        if (otherSinkTopics.contains(topicName)) {
                            // use the maximum of all its source topic partitions as the number of partitions
                            for (String sourceTopicName : otherTopicsInfo.sourceTopics) {
                                Integer numPartitionsCandidate;
                                // map().join().join(map())
                                if (repartitionTopicMetadata.containsKey(sourceTopicName)) {
                                    numPartitionsCandidate = repartitionTopicMetadata.get(sourceTopicName).numPartitions;
                                } else {
                                    numPartitionsCandidate = metadata.partitionCountForTopic(sourceTopicName);
                                    if (numPartitionsCandidate == null) {
                                        repartitionTopicMetadata.get(topicName).numPartitions = NOT_AVAILABLE;
                                    }
                                }
                                if (numPartitionsCandidate != null && numPartitionsCandidate > numPartitions) {
                                    numPartitions = numPartitionsCandidate;
                                }
                            }
                        }
                    }
                    // another iteration is needed
                    if (numPartitions == UNKNOWN)
                        numPartitionsNeeded = true;
                    else
                        repartitionTopicMetadata.get(topicName).numPartitions = numPartitions;
                }
            }
        }
    } while (numPartitionsNeeded);
    // augment the metadata with the newly computed number of partitions for all the
    // repartition source topics
    Map<TopicPartition, PartitionInfo> allRepartitionTopicPartitions = new HashMap<>();
    for (Map.Entry<String, InternalTopicMetadata> entry : repartitionTopicMetadata.entrySet()) {
        String topic = entry.getKey();
        Integer numPartitions = entry.getValue().numPartitions;
        for (int partition = 0; partition < numPartitions; partition++) {
            allRepartitionTopicPartitions.put(new TopicPartition(topic, partition), new PartitionInfo(topic, partition, null, new Node[0], new Node[0]));
        }
    }
    // ensure the co-partitioning topics within the group have the same number of partitions,
    // and enforce the number of partitions for those repartition topics to be the same if they
    // are co-partitioned as well.
    ensureCopartitioning(streamThread.builder.copartitionGroups(), repartitionTopicMetadata, metadata);
    // make sure the repartition source topics exist with the right number of partitions,
    // create these topics if necessary
    prepareTopic(repartitionTopicMetadata);
    metadataWithInternalTopics = metadata.withPartitions(allRepartitionTopicPartitions);
    log.debug("stream-thread [{}] Created repartition topics {} from the parsed topology.", streamThread.getName(), allRepartitionTopicPartitions.values());
    // ---------------- Step One ---------------- //
    // get the tasks as partition groups from the partition grouper
    Set<String> allSourceTopics = new HashSet<>();
    Map<Integer, Set<String>> sourceTopicsByGroup = new HashMap<>();
    for (Map.Entry<Integer, TopologyBuilder.TopicsInfo> entry : topicGroups.entrySet()) {
        allSourceTopics.addAll(entry.getValue().sourceTopics);
        sourceTopicsByGroup.put(entry.getKey(), entry.getValue().sourceTopics);
    }
    Map<TaskId, Set<TopicPartition>> partitionsForTask = streamThread.partitionGrouper.partitionGroups(sourceTopicsByGroup, metadataWithInternalTopics);
    // check if all partitions are assigned, and there are no duplicates of partitions in multiple tasks
    Set<TopicPartition> allAssignedPartitions = new HashSet<>();
    Map<Integer, Set<TaskId>> tasksByTopicGroup = new HashMap<>();
    for (Map.Entry<TaskId, Set<TopicPartition>> entry : partitionsForTask.entrySet()) {
        Set<TopicPartition> partitions = entry.getValue();
        for (TopicPartition partition : partitions) {
            if (allAssignedPartitions.contains(partition)) {
                log.warn("stream-thread [{}] Partition {} is assigned to more than one tasks: {}", streamThread.getName(), partition, partitionsForTask);
            }
        }
        allAssignedPartitions.addAll(partitions);
        TaskId id = entry.getKey();
        Set<TaskId> ids = tasksByTopicGroup.get(id.topicGroupId);
        if (ids == null) {
            ids = new HashSet<>();
            tasksByTopicGroup.put(id.topicGroupId, ids);
        }
        ids.add(id);
    }
    for (String topic : allSourceTopics) {
        List<PartitionInfo> partitionInfoList = metadataWithInternalTopics.partitionsForTopic(topic);
        if (!partitionInfoList.isEmpty()) {
            for (PartitionInfo partitionInfo : partitionInfoList) {
                TopicPartition partition = new TopicPartition(partitionInfo.topic(), partitionInfo.partition());
                if (!allAssignedPartitions.contains(partition)) {
                    log.warn("stream-thread [{}] Partition {} is not assigned to any tasks: {}", streamThread.getName(), partition, partitionsForTask);
                }
            }
        } else {
            log.warn("stream-thread [{}] No partitions found for topic {}", streamThread.getName(), topic);
        }
    }
    // add tasks to state change log topic subscribers
    Map<String, InternalTopicMetadata> changelogTopicMetadata = new HashMap<>();
    for (Map.Entry<Integer, TopologyBuilder.TopicsInfo> entry : topicGroups.entrySet()) {
        final int topicGroupId = entry.getKey();
        final Map<String, InternalTopicConfig> stateChangelogTopics = entry.getValue().stateChangelogTopics;
        for (InternalTopicConfig topicConfig : stateChangelogTopics.values()) {
            // the expected number of partitions is the max value of TaskId.partition + 1
            int numPartitions = UNKNOWN;
            if (tasksByTopicGroup.get(topicGroupId) != null) {
                for (TaskId task : tasksByTopicGroup.get(topicGroupId)) {
                    if (numPartitions < task.partition + 1)
                        numPartitions = task.partition + 1;
                }
                InternalTopicMetadata topicMetadata = new InternalTopicMetadata(topicConfig);
                topicMetadata.numPartitions = numPartitions;
                changelogTopicMetadata.put(topicConfig.name(), topicMetadata);
            } else {
                log.debug("stream-thread [{}] No tasks found for topic group {}", streamThread.getName(), topicGroupId);
            }
        }
    }
    prepareTopic(changelogTopicMetadata);
    log.debug("stream-thread [{}] Created state changelog topics {} from the parsed topology.", streamThread.getName(), changelogTopicMetadata);
    // ---------------- Step Two ---------------- //
    // assign tasks to clients
    Map<UUID, ClientState> states = new HashMap<>();
    for (Map.Entry<UUID, ClientMetadata> entry : clientsMetadata.entrySet()) {
        states.put(entry.getKey(), entry.getValue().state);
    }
    log.debug("stream-thread [{}] Assigning tasks {} to clients {} with number of replicas {}", streamThread.getName(), partitionsForTask.keySet(), states, numStandbyReplicas);
    final StickyTaskAssignor<UUID> taskAssignor = new StickyTaskAssignor<>(states, partitionsForTask.keySet());
    taskAssignor.assign(numStandbyReplicas);
    log.info("stream-thread [{}] Assigned tasks to clients as {}.", streamThread.getName(), states);
    // ---------------- Step Three ---------------- //
    // construct the global partition assignment per host map
    partitionsByHostState = new HashMap<>();
    for (Map.Entry<UUID, ClientMetadata> entry : clientsMetadata.entrySet()) {
        HostInfo hostInfo = entry.getValue().hostInfo;
        if (hostInfo != null) {
            final Set<TopicPartition> topicPartitions = new HashSet<>();
            final ClientState state = entry.getValue().state;
            for (final TaskId id : state.activeTasks()) {
                topicPartitions.addAll(partitionsForTask.get(id));
            }
            partitionsByHostState.put(hostInfo, topicPartitions);
        }
    }
    // within the client, distribute tasks to its owned consumers
    Map<String, Assignment> assignment = new HashMap<>();
    for (Map.Entry<UUID, ClientMetadata> entry : clientsMetadata.entrySet()) {
        final Set<String> consumers = entry.getValue().consumers;
        final ClientState state = entry.getValue().state;
        final ArrayList<TaskId> taskIds = new ArrayList<>(state.assignedTaskCount());
        final int numActiveTasks = state.activeTaskCount();
        taskIds.addAll(state.activeTasks());
        taskIds.addAll(state.standbyTasks());
        final int numConsumers = consumers.size();
        int i = 0;
        for (String consumer : consumers) {
            Map<TaskId, Set<TopicPartition>> standby = new HashMap<>();
            ArrayList<AssignedPartition> assignedPartitions = new ArrayList<>();
            final int numTaskIds = taskIds.size();
            for (int j = i; j < numTaskIds; j += numConsumers) {
                TaskId taskId = taskIds.get(j);
                if (j < numActiveTasks) {
                    for (TopicPartition partition : partitionsForTask.get(taskId)) {
                        assignedPartitions.add(new AssignedPartition(taskId, partition));
                    }
                } else {
                    Set<TopicPartition> standbyPartitions = standby.get(taskId);
                    if (standbyPartitions == null) {
                        standbyPartitions = new HashSet<>();
                        standby.put(taskId, standbyPartitions);
                    }
                    standbyPartitions.addAll(partitionsForTask.get(taskId));
                }
            }
            Collections.sort(assignedPartitions);
            List<TaskId> active = new ArrayList<>();
            List<TopicPartition> activePartitions = new ArrayList<>();
            for (AssignedPartition partition : assignedPartitions) {
                active.add(partition.taskId);
                activePartitions.add(partition.partition);
            }
            // finally, encode the assignment before sending back to coordinator
            assignment.put(consumer, new Assignment(activePartitions, new AssignmentInfo(active, standby, partitionsByHostState).encode()));
            i++;
        }
    }
    return assignment;
}

Example 47 with PartitionInfo

use of org.apache.kafka.common.PartitionInfo in project kafka by apache.

the class GlobalStateManagerImpl method topicPartitionsForStore.

private List<TopicPartition> topicPartitionsForStore(final StateStore store) {
    final String sourceTopic = topology.storeToChangelogTopic().get(store.name());
    final List<PartitionInfo> partitionInfos = consumer.partitionsFor(sourceTopic);
    if (partitionInfos == null || partitionInfos.isEmpty()) {
        throw new StreamsException(String.format("There are no partitions available for topic %s when initializing global store %s", sourceTopic, store.name()));
    }
    final List<TopicPartition> topicPartitions = new ArrayList<>();
    for (PartitionInfo partition : partitionInfos) {
        topicPartitions.add(new TopicPartition(partition.topic(), partition.partition()));
    }
    return topicPartitions;
}

Example 48 with PartitionInfo

use of org.apache.kafka.common.PartitionInfo in project kafka by apache.

the class DefaultPartitionGrouper method partitionGroups.

/**
     * Generate tasks with the assigned topic partitions.
     *
     * @param topicGroups   group of topics that need to be joined together
     * @param metadata      metadata of the consuming cluster
     * @return The map from generated task ids to the assigned partitions
     */
public Map<TaskId, Set<TopicPartition>> partitionGroups(Map<Integer, Set<String>> topicGroups, Cluster metadata) {
    Map<TaskId, Set<TopicPartition>> groups = new HashMap<>();
    for (Map.Entry<Integer, Set<String>> entry : topicGroups.entrySet()) {
        Integer topicGroupId = entry.getKey();
        Set<String> topicGroup = entry.getValue();
        int maxNumPartitions = maxNumPartitions(metadata, topicGroup);
        for (int partitionId = 0; partitionId < maxNumPartitions; partitionId++) {
            Set<TopicPartition> group = new HashSet<>(topicGroup.size());
            for (String topic : topicGroup) {
                List<PartitionInfo> partitions = metadata.partitionsForTopic(topic);
                if (partitionId < partitions.size()) {
                    group.add(new TopicPartition(topic, partitionId));
                }
            }
            groups.put(new TaskId(topicGroupId, partitionId), Collections.unmodifiableSet(group));
        }
    }
    return Collections.unmodifiableMap(groups);
}

Example 49 with PartitionInfo

use of org.apache.kafka.common.PartitionInfo in project flink by apache.

the class KafkaProducerTest method testPropagateExceptions.

@Test
@SuppressWarnings("unchecked")
public void testPropagateExceptions() {
    try {
        // mock kafka producer
        KafkaProducer<?, ?> kafkaProducerMock = mock(KafkaProducer.class);
        // partition setup
        when(kafkaProducerMock.partitionsFor(anyString())).thenReturn(// returning a unmodifiable list to mimic KafkaProducer#partitionsFor() behaviour
        Collections.singletonList(new PartitionInfo("mock_topic", 42, null, null, null)));
        // failure when trying to send an element
        when(kafkaProducerMock.send(any(ProducerRecord.class), any(Callback.class))).thenAnswer(new Answer<Future<RecordMetadata>>() {

            @Override
            public Future<RecordMetadata> answer(InvocationOnMock invocation) throws Throwable {
                Callback callback = (Callback) invocation.getArguments()[1];
                callback.onCompletion(null, new Exception("Test error"));
                return null;
            }
        });
        // make sure the FlinkKafkaProducer instantiates our mock producer
        whenNew(KafkaProducer.class).withAnyArguments().thenReturn(kafkaProducerMock);
        // (1) producer that propagates errors
        FlinkKafkaProducer09<String> producerPropagating = new FlinkKafkaProducer09<>("mock_topic", new SimpleStringSchema(), FakeStandardProducerConfig.get(), null);
        OneInputStreamOperatorTestHarness<String, Object> testHarness = new OneInputStreamOperatorTestHarness<>(new StreamSink(producerPropagating));
        testHarness.open();
        try {
            testHarness.processElement(new StreamRecord<>("value"));
            testHarness.processElement(new StreamRecord<>("value"));
            fail("This should fail with an exception");
        } catch (Exception e) {
            assertNotNull(e.getCause());
            assertNotNull(e.getCause().getMessage());
            assertTrue(e.getCause().getMessage().contains("Test error"));
        }
        // (2) producer that only logs errors
        FlinkKafkaProducer09<String> producerLogging = new FlinkKafkaProducer09<>("mock_topic", new SimpleStringSchema(), FakeStandardProducerConfig.get(), null);
        producerLogging.setLogFailuresOnly(true);
        testHarness = new OneInputStreamOperatorTestHarness<>(new StreamSink(producerLogging));
        testHarness.open();
        testHarness.processElement(new StreamRecord<>("value"));
        testHarness.processElement(new StreamRecord<>("value"));
        testHarness.close();
    } catch (Exception e) {
        e.printStackTrace();
        fail(e.getMessage());
    }
}