Examples with RealtimeIOConfig io.druid.segment.indexing.RealtimeIOConfig used on opensource projects

Example 1 with RealtimeIOConfig

use of io.druid.segment.indexing.RealtimeIOConfig in project druid by druid-io.

the class TaskLifecycleTest method newRealtimeIndexTask.

private RealtimeIndexTask newRealtimeIndexTask() {
    String taskId = String.format("rt_task_%s", System.currentTimeMillis());
    DataSchema dataSchema = new DataSchema("test_ds", null, new AggregatorFactory[] { new LongSumAggregatorFactory("count", "rows") }, new UniformGranularitySpec(Granularities.DAY, Granularities.NONE, null), mapper);
    RealtimeIOConfig realtimeIOConfig = new RealtimeIOConfig(new MockFirehoseFactory(true), null, // PlumberSchool - Realtime Index Task always uses RealtimePlumber which is hardcoded in RealtimeIndexTask class
    null);
    RealtimeTuningConfig realtimeTuningConfig = new RealtimeTuningConfig(1000, new Period("P1Y"), //default window period of 10 minutes
    null, // base persist dir ignored by Realtime Index task
    null, null, null, null, null, null, null, 0, 0, null, null);
    FireDepartment fireDepartment = new FireDepartment(dataSchema, realtimeIOConfig, realtimeTuningConfig);
    return new RealtimeIndexTask(taskId, new TaskResource(taskId, 1), fireDepartment, null);
}

Example 2 with RealtimeIOConfig

use of io.druid.segment.indexing.RealtimeIOConfig in project druid by druid-io.

the class TaskAnnouncementTest method testBackwardsCompatibleSerde.

@Test
public void testBackwardsCompatibleSerde() throws Exception {
    final Task task = new RealtimeIndexTask("theid", new TaskResource("rofl", 2), new FireDepartment(new DataSchema("foo", null, new AggregatorFactory[0], null, new DefaultObjectMapper()), new RealtimeIOConfig(new LocalFirehoseFactory(new File("lol"), "rofl", null), new PlumberSchool() {

        @Override
        public Plumber findPlumber(DataSchema schema, RealtimeTuningConfig config, FireDepartmentMetrics metrics) {
            return null;
        }
    }, null), null), null);
    final TaskStatus status = TaskStatus.running(task.getId());
    final TaskAnnouncement announcement = TaskAnnouncement.create(task, status, TaskLocation.unknown());
    final String statusJson = jsonMapper.writeValueAsString(status);
    final String announcementJson = jsonMapper.writeValueAsString(announcement);
    final TaskStatus statusFromStatus = jsonMapper.readValue(statusJson, TaskStatus.class);
    final TaskStatus statusFromAnnouncement = jsonMapper.readValue(announcementJson, TaskStatus.class);
    final TaskAnnouncement announcementFromStatus = jsonMapper.readValue(statusJson, TaskAnnouncement.class);
    final TaskAnnouncement announcementFromAnnouncement = jsonMapper.readValue(announcementJson, TaskAnnouncement.class);
    Assert.assertEquals("theid", statusFromStatus.getId());
    Assert.assertEquals("theid", statusFromAnnouncement.getId());
    Assert.assertEquals("theid", announcementFromStatus.getTaskStatus().getId());
    Assert.assertEquals("theid", announcementFromAnnouncement.getTaskStatus().getId());
    Assert.assertEquals("theid", announcementFromStatus.getTaskResource().getAvailabilityGroup());
    Assert.assertEquals("rofl", announcementFromAnnouncement.getTaskResource().getAvailabilityGroup());
    Assert.assertEquals(1, announcementFromStatus.getTaskResource().getRequiredCapacity());
    Assert.assertEquals(2, announcementFromAnnouncement.getTaskResource().getRequiredCapacity());
}

Example 3 with RealtimeIOConfig

use of io.druid.segment.indexing.RealtimeIOConfig in project druid by druid-io.

the class RealtimeManagerTest method setUp.

@Before
public void setUp() throws Exception {
    final List<TestInputRowHolder> rows = Arrays.asList(makeRow(new DateTime("9000-01-01").getMillis()), makeRow(new ParseException("parse error")), null, makeRow(new DateTime().getMillis()));
    ObjectMapper jsonMapper = new DefaultObjectMapper();
    schema = new DataSchema("test", null, new AggregatorFactory[] { new CountAggregatorFactory("rows") }, new UniformGranularitySpec(Granularities.HOUR, Granularities.NONE, null), jsonMapper);
    schema2 = new DataSchema("testV2", null, new AggregatorFactory[] { new CountAggregatorFactory("rows") }, new UniformGranularitySpec(Granularities.HOUR, Granularities.NONE, null), jsonMapper);
    RealtimeIOConfig ioConfig = new RealtimeIOConfig(new FirehoseFactory() {

        @Override
        public Firehose connect(InputRowParser parser) throws IOException {
            return new TestFirehose(rows.iterator());
        }
    }, new PlumberSchool() {

        @Override
        public Plumber findPlumber(DataSchema schema, RealtimeTuningConfig config, FireDepartmentMetrics metrics) {
            return plumber;
        }
    }, null);
    RealtimeIOConfig ioConfig2 = new RealtimeIOConfig(null, new PlumberSchool() {

        @Override
        public Plumber findPlumber(DataSchema schema, RealtimeTuningConfig config, FireDepartmentMetrics metrics) {
            return plumber2;
        }
    }, new FirehoseFactoryV2() {

        @Override
        public FirehoseV2 connect(InputRowParser parser, Object arg1) throws IOException, ParseException {
            return new TestFirehoseV2(rows.iterator());
        }
    });
    RealtimeTuningConfig tuningConfig = new RealtimeTuningConfig(1, new Period("P1Y"), null, null, null, null, null, null, null, null, 0, 0, null, null);
    plumber = new TestPlumber(new Sink(new Interval("0/P5000Y"), schema, tuningConfig.getShardSpec(), new DateTime().toString(), tuningConfig.getMaxRowsInMemory(), tuningConfig.isReportParseExceptions()));
    realtimeManager = new RealtimeManager(Arrays.<FireDepartment>asList(new FireDepartment(schema, ioConfig, tuningConfig)), null);
    plumber2 = new TestPlumber(new Sink(new Interval("0/P5000Y"), schema2, tuningConfig.getShardSpec(), new DateTime().toString(), tuningConfig.getMaxRowsInMemory(), tuningConfig.isReportParseExceptions()));
    realtimeManager2 = new RealtimeManager(Arrays.<FireDepartment>asList(new FireDepartment(schema2, ioConfig2, tuningConfig)), null);
    tuningConfig_0 = new RealtimeTuningConfig(1, new Period("P1Y"), null, null, null, null, null, new LinearShardSpec(0), null, null, 0, 0, null, null);
    tuningConfig_1 = new RealtimeTuningConfig(1, new Period("P1Y"), null, null, null, null, null, new LinearShardSpec(1), null, null, 0, 0, null, null);
    schema3 = new DataSchema("testing", null, new AggregatorFactory[] { new CountAggregatorFactory("ignore") }, new UniformGranularitySpec(Granularities.HOUR, Granularities.NONE, null), jsonMapper);
    FireDepartment department_0 = new FireDepartment(schema3, ioConfig, tuningConfig_0);
    FireDepartment department_1 = new FireDepartment(schema3, ioConfig2, tuningConfig_1);
    QueryRunnerFactoryConglomerate conglomerate = new QueryRunnerFactoryConglomerate() {

        @Override
        public <T, QueryType extends Query<T>> QueryRunnerFactory<T, QueryType> findFactory(QueryType query) {
            return factory;
        }
    };
    chiefStartedLatch = new CountDownLatch(2);
    RealtimeManager.FireChief fireChief_0 = new RealtimeManager.FireChief(department_0, conglomerate) {

        @Override
        public void run() {
            super.initPlumber();
            chiefStartedLatch.countDown();
        }
    };
    RealtimeManager.FireChief fireChief_1 = new RealtimeManager.FireChief(department_1, conglomerate) {

        @Override
        public void run() {
            super.initPlumber();
            chiefStartedLatch.countDown();
        }
    };
    realtimeManager3 = new RealtimeManager(Arrays.asList(department_0, department_1), conglomerate, ImmutableMap.<String, Map<Integer, RealtimeManager.FireChief>>of("testing", ImmutableMap.of(0, fireChief_0, 1, fireChief_1)));
    startFireChiefWithPartitionNum(fireChief_0, 0);
    startFireChiefWithPartitionNum(fireChief_1, 1);
}

Example 4 with RealtimeIOConfig

use of io.druid.segment.indexing.RealtimeIOConfig in project druid by druid-io.

the class DruidJsonValidatorTest method testTaskValidator.

@Test
public void testTaskValidator() throws Exception {
    final ObjectMapper jsonMapper = new DefaultObjectMapper();
    for (final Module jacksonModule : new FirehoseModule().getJacksonModules()) {
        jsonMapper.registerModule(jacksonModule);
    }
    final RealtimeIndexTask task = new RealtimeIndexTask(null, new TaskResource("rofl", 2), new FireDepartment(new DataSchema("foo", null, new AggregatorFactory[0], new UniformGranularitySpec(Granularities.HOUR, Granularities.NONE, null), jsonMapper), new RealtimeIOConfig(new LocalFirehoseFactory(new File("lol"), "rofl", null), new PlumberSchool() {

        @Override
        public Plumber findPlumber(DataSchema schema, RealtimeTuningConfig config, FireDepartmentMetrics metrics) {
            return null;
        }
    }, null), new RealtimeTuningConfig(1, new Period("PT10M"), null, null, null, null, 1, NoneShardSpec.instance(), new IndexSpec(), null, 0, 0, true, null)), null);
    File tmp = temporaryFolder.newFile("test_task.json");
    jsonMapper.writeValue(tmp, task);
    parseCommand("validator", "-f", tmp.getAbsolutePath(), "-t", "task").run();
}

Example 5 with RealtimeIOConfig

use of io.druid.segment.indexing.RealtimeIOConfig in project druid by druid-io.

the class KafkaIndexTask method run.

@Override
public TaskStatus run(final TaskToolbox toolbox) throws Exception {
    log.info("Starting up!");
    startTime = DateTime.now();
    mapper = toolbox.getObjectMapper();
    status = Status.STARTING;
    if (chatHandlerProvider.isPresent()) {
        log.info("Found chat handler of class[%s]", chatHandlerProvider.get().getClass().getName());
        chatHandlerProvider.get().register(getId(), this, false);
    } else {
        log.warn("No chat handler detected");
    }
    runThread = Thread.currentThread();
    // Set up FireDepartmentMetrics
    final FireDepartment fireDepartmentForMetrics = new FireDepartment(dataSchema, new RealtimeIOConfig(null, null, null), null);
    fireDepartmentMetrics = fireDepartmentForMetrics.getMetrics();
    toolbox.getMonitorScheduler().addMonitor(new RealtimeMetricsMonitor(ImmutableList.of(fireDepartmentForMetrics), ImmutableMap.of(DruidMetrics.TASK_ID, new String[] { getId() })));
    try (final Appenderator appenderator0 = newAppenderator(fireDepartmentMetrics, toolbox);
        final FiniteAppenderatorDriver driver = newDriver(appenderator0, toolbox, fireDepartmentMetrics);
        final KafkaConsumer<byte[], byte[]> consumer = newConsumer()) {
        appenderator = appenderator0;
        final String topic = ioConfig.getStartPartitions().getTopic();
        // Start up, set up initial offsets.
        final Object restoredMetadata = driver.startJob();
        if (restoredMetadata == null) {
            nextOffsets.putAll(ioConfig.getStartPartitions().getPartitionOffsetMap());
        } else {
            final Map<String, Object> restoredMetadataMap = (Map) restoredMetadata;
            final KafkaPartitions restoredNextPartitions = toolbox.getObjectMapper().convertValue(restoredMetadataMap.get(METADATA_NEXT_PARTITIONS), KafkaPartitions.class);
            nextOffsets.putAll(restoredNextPartitions.getPartitionOffsetMap());
            // Sanity checks.
            if (!restoredNextPartitions.getTopic().equals(ioConfig.getStartPartitions().getTopic())) {
                throw new ISE("WTF?! Restored topic[%s] but expected topic[%s]", restoredNextPartitions.getTopic(), ioConfig.getStartPartitions().getTopic());
            }
            if (!nextOffsets.keySet().equals(ioConfig.getStartPartitions().getPartitionOffsetMap().keySet())) {
                throw new ISE("WTF?! Restored partitions[%s] but expected partitions[%s]", nextOffsets.keySet(), ioConfig.getStartPartitions().getPartitionOffsetMap().keySet());
            }
        }
        // Set up sequenceNames.
        final Map<Integer, String> sequenceNames = Maps.newHashMap();
        for (Integer partitionNum : nextOffsets.keySet()) {
            sequenceNames.put(partitionNum, String.format("%s_%s", ioConfig.getBaseSequenceName(), partitionNum));
        }
        // Set up committer.
        final Supplier<Committer> committerSupplier = new Supplier<Committer>() {

            @Override
            public Committer get() {
                final Map<Integer, Long> snapshot = ImmutableMap.copyOf(nextOffsets);
                return new Committer() {

                    @Override
                    public Object getMetadata() {
                        return ImmutableMap.of(METADATA_NEXT_PARTITIONS, new KafkaPartitions(ioConfig.getStartPartitions().getTopic(), snapshot));
                    }

                    @Override
                    public void run() {
                    // Do nothing.
                    }
                };
            }
        };
        Set<Integer> assignment = assignPartitionsAndSeekToNext(consumer, topic);
        // Main loop.
        // Could eventually support leader/follower mode (for keeping replicas more in sync)
        boolean stillReading = !assignment.isEmpty();
        status = Status.READING;
        try {
            while (stillReading) {
                if (possiblyPause(assignment)) {
                    // The partition assignments may have changed while paused by a call to setEndOffsets() so reassign
                    // partitions upon resuming. This is safe even if the end offsets have not been modified.
                    assignment = assignPartitionsAndSeekToNext(consumer, topic);
                    if (assignment.isEmpty()) {
                        log.info("All partitions have been fully read");
                        publishOnStop = true;
                        stopRequested = true;
                    }
                }
                if (stopRequested) {
                    break;
                }
                // The retrying business is because the KafkaConsumer throws OffsetOutOfRangeException if the seeked-to
                // offset is not present in the topic-partition. This can happen if we're asking a task to read from data
                // that has not been written yet (which is totally legitimate). So let's wait for it to show up.
                ConsumerRecords<byte[], byte[]> records = ConsumerRecords.empty();
                try {
                    records = consumer.poll(POLL_TIMEOUT);
                } catch (OffsetOutOfRangeException e) {
                    log.warn("OffsetOutOfRangeException with message [%s]", e.getMessage());
                    possiblyResetOffsetsOrWait(e.offsetOutOfRangePartitions(), consumer, toolbox);
                    stillReading = ioConfig.isPauseAfterRead() || !assignment.isEmpty();
                }
                for (ConsumerRecord<byte[], byte[]> record : records) {
                    if (log.isTraceEnabled()) {
                        log.trace("Got topic[%s] partition[%d] offset[%,d].", record.topic(), record.partition(), record.offset());
                    }
                    if (record.offset() < endOffsets.get(record.partition())) {
                        if (record.offset() != nextOffsets.get(record.partition())) {
                            throw new ISE("WTF?! Got offset[%,d] after offset[%,d] in partition[%d].", record.offset(), nextOffsets.get(record.partition()), record.partition());
                        }
                        try {
                            final byte[] valueBytes = record.value();
                            if (valueBytes == null) {
                                throw new ParseException("null value");
                            }
                            final InputRow row = Preconditions.checkNotNull(parser.parse(ByteBuffer.wrap(valueBytes)), "row");
                            if (!ioConfig.getMinimumMessageTime().isPresent() || !ioConfig.getMinimumMessageTime().get().isAfter(row.getTimestamp())) {
                                final SegmentIdentifier identifier = driver.add(row, sequenceNames.get(record.partition()), committerSupplier);
                                if (identifier == null) {
                                    // If we allow continuing, then consider blacklisting the interval for a while to avoid constant checks.
                                    throw new ISE("Could not allocate segment for row with timestamp[%s]", row.getTimestamp());
                                }
                                fireDepartmentMetrics.incrementProcessed();
                            } else {
                                fireDepartmentMetrics.incrementThrownAway();
                            }
                        } catch (ParseException e) {
                            if (tuningConfig.isReportParseExceptions()) {
                                throw e;
                            } else {
                                log.debug(e, "Dropping unparseable row from partition[%d] offset[%,d].", record.partition(), record.offset());
                                fireDepartmentMetrics.incrementUnparseable();
                            }
                        }
                        nextOffsets.put(record.partition(), record.offset() + 1);
                    }
                    if (nextOffsets.get(record.partition()).equals(endOffsets.get(record.partition())) && assignment.remove(record.partition())) {
                        log.info("Finished reading topic[%s], partition[%,d].", record.topic(), record.partition());
                        assignPartitions(consumer, topic, assignment);
                        stillReading = ioConfig.isPauseAfterRead() || !assignment.isEmpty();
                    }
                }
            }
        } finally {
            // persist pending data
            driver.persist(committerSupplier.get());
        }
        synchronized (statusLock) {
            if (stopRequested && !publishOnStop) {
                throw new InterruptedException("Stopping without publishing");
            }
            status = Status.PUBLISHING;
        }
        final TransactionalSegmentPublisher publisher = new TransactionalSegmentPublisher() {

            @Override
            public boolean publishSegments(Set<DataSegment> segments, Object commitMetadata) throws IOException {
                final KafkaPartitions finalPartitions = toolbox.getObjectMapper().convertValue(((Map) commitMetadata).get(METADATA_NEXT_PARTITIONS), KafkaPartitions.class);
                // Sanity check, we should only be publishing things that match our desired end state.
                if (!endOffsets.equals(finalPartitions.getPartitionOffsetMap())) {
                    throw new ISE("WTF?! Driver attempted to publish invalid metadata[%s].", commitMetadata);
                }
                final SegmentTransactionalInsertAction action;
                if (ioConfig.isUseTransaction()) {
                    action = new SegmentTransactionalInsertAction(segments, new KafkaDataSourceMetadata(ioConfig.getStartPartitions()), new KafkaDataSourceMetadata(finalPartitions));
                } else {
                    action = new SegmentTransactionalInsertAction(segments, null, null);
                }
                log.info("Publishing with isTransaction[%s].", ioConfig.isUseTransaction());
                return toolbox.getTaskActionClient().submit(action).isSuccess();
            }
        };
        final SegmentsAndMetadata published = driver.finish(publisher, committerSupplier.get());
        if (published == null) {
            throw new ISE("Transaction failure publishing segments, aborting");
        } else {
            log.info("Published segments[%s] with metadata[%s].", Joiner.on(", ").join(Iterables.transform(published.getSegments(), new Function<DataSegment, String>() {

                @Override
                public String apply(DataSegment input) {
                    return input.getIdentifier();
                }
            })), published.getCommitMetadata());
        }
    } catch (InterruptedException | RejectedExecutionException e) {
        // handle the InterruptedException that gets wrapped in a RejectedExecutionException
        if (e instanceof RejectedExecutionException && (e.getCause() == null || !(e.getCause() instanceof InterruptedException))) {
            throw e;
        }
        // if we were interrupted because we were asked to stop, handle the exception and return success, else rethrow
        if (!stopRequested) {
            Thread.currentThread().interrupt();
            throw e;
        }
        log.info("The task was asked to stop before completing");
    } finally {
        if (chatHandlerProvider.isPresent()) {
            chatHandlerProvider.get().unregister(getId());
        }
    }
    return success();
}