Examples with DruidCoordinatorRuntimeParams org.apache.druid.server.coordinator.DruidCoordinatorRuntimeParams used on opensource projects

Example 1 with DruidCoordinatorRuntimeParams

use of org.apache.druid.server.coordinator.DruidCoordinatorRuntimeParams in project druid by druid-io.

the class CompactSegments method run.

@Override
public DruidCoordinatorRuntimeParams run(DruidCoordinatorRuntimeParams params) {
    LOG.info("Compact segments");
    final CoordinatorCompactionConfig dynamicConfig = params.getCoordinatorCompactionConfig();
    final CoordinatorStats stats = new CoordinatorStats();
    List<DataSourceCompactionConfig> compactionConfigList = dynamicConfig.getCompactionConfigs();
    if (dynamicConfig.getMaxCompactionTaskSlots() > 0) {
        Map<String, VersionedIntervalTimeline<String, DataSegment>> dataSources = params.getUsedSegmentsTimelinesPerDataSource();
        if (compactionConfigList != null && !compactionConfigList.isEmpty()) {
            Map<String, DataSourceCompactionConfig> compactionConfigs = compactionConfigList.stream().collect(Collectors.toMap(DataSourceCompactionConfig::getDataSource, Function.identity()));
            final List<TaskStatusPlus> compactionTasks = filterNonCompactionTasks(indexingServiceClient.getActiveTasks());
            // dataSource -> list of intervals for which compaction will be skipped in this run
            final Map<String, List<Interval>> intervalsToSkipCompaction = new HashMap<>();
            int numEstimatedNonCompleteCompactionTasks = 0;
            for (TaskStatusPlus status : compactionTasks) {
                final TaskPayloadResponse response = indexingServiceClient.getTaskPayload(status.getId());
                if (response == null) {
                    throw new ISE("Got a null paylord from overlord for task[%s]", status.getId());
                }
                if (COMPACTION_TASK_TYPE.equals(response.getPayload().getType())) {
                    final ClientCompactionTaskQuery compactionTaskQuery = (ClientCompactionTaskQuery) response.getPayload();
                    DataSourceCompactionConfig dataSourceCompactionConfig = compactionConfigs.get(status.getDataSource());
                    if (dataSourceCompactionConfig != null && dataSourceCompactionConfig.getGranularitySpec() != null) {
                        Granularity configuredSegmentGranularity = dataSourceCompactionConfig.getGranularitySpec().getSegmentGranularity();
                        if (configuredSegmentGranularity != null && compactionTaskQuery.getGranularitySpec() != null && !configuredSegmentGranularity.equals(compactionTaskQuery.getGranularitySpec().getSegmentGranularity())) {
                            // We will cancel active compaction task if segmentGranularity changes and we will need to
                            // re-compact the interval
                            LOG.info("Canceled task[%s] as task segmentGranularity is [%s] but compaction config " + "segmentGranularity is [%s]", status.getId(), compactionTaskQuery.getGranularitySpec().getSegmentGranularity(), configuredSegmentGranularity);
                            indexingServiceClient.cancelTask(status.getId());
                            continue;
                        }
                    }
                    // Skip interval as the current active compaction task is good
                    final Interval interval = compactionTaskQuery.getIoConfig().getInputSpec().getInterval();
                    intervalsToSkipCompaction.computeIfAbsent(status.getDataSource(), k -> new ArrayList<>()).add(interval);
                    // Since we keep the current active compaction task running, we count the active task slots
                    numEstimatedNonCompleteCompactionTasks += findMaxNumTaskSlotsUsedByOneCompactionTask(compactionTaskQuery.getTuningConfig());
                } else {
                    throw new ISE("task[%s] is not a compactionTask", status.getId());
                }
            }
            // Skip all the intervals locked by higher priority tasks for each datasource
            // This must be done after the invalid compaction tasks are cancelled
            // in the loop above so that their intervals are not considered locked
            getLockedIntervalsToSkip(compactionConfigList).forEach((dataSource, intervals) -> intervalsToSkipCompaction.computeIfAbsent(dataSource, ds -> new ArrayList<>()).addAll(intervals));
            final CompactionSegmentIterator iterator = policy.reset(compactionConfigs, dataSources, intervalsToSkipCompaction);
            int totalCapacity;
            if (dynamicConfig.isUseAutoScaleSlots()) {
                try {
                    totalCapacity = indexingServiceClient.getTotalWorkerCapacityWithAutoScale();
                } catch (Exception e) {
                    LOG.warn("Failed to get total worker capacity with auto scale slots. Falling back to current capacity count");
                    totalCapacity = indexingServiceClient.getTotalWorkerCapacity();
                }
            } else {
                totalCapacity = indexingServiceClient.getTotalWorkerCapacity();
            }
            final int compactionTaskCapacity = (int) Math.min(totalCapacity * dynamicConfig.getCompactionTaskSlotRatio(), dynamicConfig.getMaxCompactionTaskSlots());
            final int numAvailableCompactionTaskSlots;
            if (numEstimatedNonCompleteCompactionTasks > 0) {
                numAvailableCompactionTaskSlots = Math.max(0, compactionTaskCapacity - numEstimatedNonCompleteCompactionTasks);
            } else {
                // compactionTaskCapacity might be 0 if totalWorkerCapacity is low.
                // This guarantees that at least one slot is available if
                // compaction is enabled and numEstimatedNonCompleteCompactionTasks is 0.
                numAvailableCompactionTaskSlots = Math.max(1, compactionTaskCapacity);
            }
            LOG.info("Found [%d] available task slots for compaction out of [%d] max compaction task capacity", numAvailableCompactionTaskSlots, compactionTaskCapacity);
            stats.addToGlobalStat(AVAILABLE_COMPACTION_TASK_SLOT, numAvailableCompactionTaskSlots);
            stats.addToGlobalStat(MAX_COMPACTION_TASK_SLOT, compactionTaskCapacity);
            final Map<String, AutoCompactionSnapshot.Builder> currentRunAutoCompactionSnapshotBuilders = new HashMap<>();
            if (numAvailableCompactionTaskSlots > 0) {
                stats.accumulate(doRun(compactionConfigs, currentRunAutoCompactionSnapshotBuilders, numAvailableCompactionTaskSlots, iterator));
            } else {
                stats.accumulate(makeStats(currentRunAutoCompactionSnapshotBuilders, 0, iterator));
            }
        } else {
            LOG.info("compactionConfig is empty. Skip.");
            autoCompactionSnapshotPerDataSource.set(new HashMap<>());
        }
    } else {
        LOG.info("maxCompactionTaskSlots was set to 0. Skip compaction");
        autoCompactionSnapshotPerDataSource.set(new HashMap<>());
    }
    return params.buildFromExisting().withCoordinatorStats(stats).build();
}

Example 2 with DruidCoordinatorRuntimeParams

use of org.apache.druid.server.coordinator.DruidCoordinatorRuntimeParams in project druid by druid-io.

the class BroadcastDistributionRule method run.

@Override
public CoordinatorStats run(DruidCoordinator coordinator, DruidCoordinatorRuntimeParams params, DataSegment segment) {
    final Set<ServerHolder> dropServerHolders = new HashSet<>();
    // Find servers where we need to load the broadcast segments
    final Set<ServerHolder> loadServerHolders = params.getDruidCluster().getAllServers().stream().filter((serverHolder) -> {
        ServerType serverType = serverHolder.getServer().getType();
        if (!serverType.isSegmentBroadcastTarget()) {
            return false;
        }
        final boolean isServingSegment = serverHolder.isServingSegment(segment);
        if (serverHolder.isDecommissioning()) {
            if (isServingSegment && !serverHolder.isDroppingSegment(segment)) {
                dropServerHolders.add(serverHolder);
            }
            return false;
        }
        return !isServingSegment && !serverHolder.isLoadingSegment(segment);
    }).collect(Collectors.toSet());
    final CoordinatorStats stats = new CoordinatorStats();
    return stats.accumulate(assign(loadServerHolders, segment)).accumulate(drop(dropServerHolders, segment));
}

Example 3 with DruidCoordinatorRuntimeParams

use of org.apache.druid.server.coordinator.DruidCoordinatorRuntimeParams in project druid by druid-io.

the class MarkAsUnusedOvershadowedSegmentsTest method testRun.

@Test
@Parameters({ "historical", "broker" })
public void testRun(String serverTypeString) {
    ServerType serverType = ServerType.fromString(serverTypeString);
    markAsUnusedOvershadowedSegments = new MarkAsUnusedOvershadowedSegments(coordinator);
    usedSegments = ImmutableList.of(segmentV1, segmentV0, segmentV2);
    // Dummy values for comparisons in TreeSet
    EasyMock.expect(mockPeon.getLoadQueueSize()).andReturn(0L).anyTimes();
    EasyMock.expect(druidServer.getMaxSize()).andReturn(0L).anyTimes();
    EasyMock.expect(druidServer.getCurrSize()).andReturn(0L).anyTimes();
    EasyMock.expect(druidServer.getName()).andReturn("").anyTimes();
    EasyMock.expect(druidServer.getHost()).andReturn("").anyTimes();
    EasyMock.expect(druidServer.getTier()).andReturn("").anyTimes();
    EasyMock.expect(druidServer.getType()).andReturn(serverType).anyTimes();
    EasyMock.expect(druidServer.getDataSources()).andReturn(ImmutableList.of(druidDataSource)).anyTimes();
    EasyMock.expect(druidDataSource.getSegments()).andReturn(ImmutableSet.of(segmentV1, segmentV2)).anyTimes();
    EasyMock.expect(druidDataSource.getName()).andReturn("test").anyTimes();
    coordinator.markSegmentAsUnused(segmentV1);
    coordinator.markSegmentAsUnused(segmentV0);
    EasyMock.expectLastCall();
    EasyMock.replay(mockPeon, coordinator, druidServer, druidDataSource);
    druidCluster = DruidClusterBuilder.newBuilder().addTier("normal", new ServerHolder(druidServer, mockPeon)).build();
    DruidCoordinatorRuntimeParams params = CoordinatorRuntimeParamsTestHelpers.newBuilder().withUsedSegmentsInTest(usedSegments).withCoordinatorStats(new CoordinatorStats()).withDruidCluster(druidCluster).withDynamicConfigs(RunRulesTest.COORDINATOR_CONFIG_WITH_ZERO_LEADING_TIME_BEFORE_CAN_MARK_AS_UNUSED_OVERSHADOWED_SEGMENTS).build();
    markAsUnusedOvershadowedSegments.run(params);
    EasyMock.verify(coordinator, druidDataSource, druidServer);
}

Example 4 with DruidCoordinatorRuntimeParams

use of org.apache.druid.server.coordinator.DruidCoordinatorRuntimeParams in project druid by druid-io.

the class BalanceSegments method balanceServers.

private Pair<Integer, Integer> balanceServers(DruidCoordinatorRuntimeParams params, List<ServerHolder> toMoveFrom, List<ServerHolder> toMoveTo, int maxSegmentsToMove) {
    if (maxSegmentsToMove <= 0) {
        log.debug("maxSegmentsToMove is 0; no balancing work can be performed.");
        return new Pair<>(0, 0);
    } else if (toMoveFrom.isEmpty()) {
        log.debug("toMoveFrom is empty; no balancing work can be performed.");
        return new Pair<>(0, 0);
    } else if (toMoveTo.isEmpty()) {
        log.debug("toMoveTo is empty; no balancing work can be peformed.");
        return new Pair<>(0, 0);
    }
    final BalancerStrategy strategy = params.getBalancerStrategy();
    final int maxIterations = 2 * maxSegmentsToMove;
    final int maxToLoad = params.getCoordinatorDynamicConfig().getMaxSegmentsInNodeLoadingQueue();
    int moved = 0, unmoved = 0;
    Iterator<BalancerSegmentHolder> segmentsToMove;
    // The pick method depends on if the operator has enabled batched segment sampling in the Coorinator dynamic config.
    if (params.getCoordinatorDynamicConfig().useBatchedSegmentSampler()) {
        segmentsToMove = strategy.pickSegmentsToMove(toMoveFrom, params.getBroadcastDatasources(), maxSegmentsToMove);
    } else {
        segmentsToMove = strategy.pickSegmentsToMove(toMoveFrom, params.getBroadcastDatasources(), params.getCoordinatorDynamicConfig().getPercentOfSegmentsToConsiderPerMove());
    }
    // noinspection ForLoopThatDoesntUseLoopVariable
    for (int iter = 0; (moved + unmoved) < maxSegmentsToMove; ++iter) {
        if (!segmentsToMove.hasNext()) {
            log.info("All servers to move segments from are empty, ending run.");
            break;
        }
        final BalancerSegmentHolder segmentToMoveHolder = segmentsToMove.next();
        // DruidCoordinatorRuntimeParams.getUsedSegments originate from SegmentsMetadataManager, i. e. that's a set of segments
        // that *should* be loaded. segmentToMoveHolder.getSegment originates from ServerInventoryView,  i. e. that may be
        // any segment that happens to be loaded on some server, even if it is not used. (Coordinator closes such
        // discrepancies eventually via UnloadUnusedSegments). Therefore the picked segmentToMoveHolder's segment may not
        // need to be balanced.
        boolean needToBalancePickedSegment = params.getUsedSegments().contains(segmentToMoveHolder.getSegment());
        if (needToBalancePickedSegment) {
            final DataSegment segmentToMove = segmentToMoveHolder.getSegment();
            final ImmutableDruidServer fromServer = segmentToMoveHolder.getFromServer();
            // we want to leave the server the segment is currently on in the list...
            // but filter out replicas that are already serving the segment, and servers with a full load queue
            final List<ServerHolder> toMoveToWithLoadQueueCapacityAndNotServingSegment = toMoveTo.stream().filter(s -> s.getServer().equals(fromServer) || (!s.isServingSegment(segmentToMove) && (maxToLoad <= 0 || s.getNumberOfSegmentsInQueue() < maxToLoad))).collect(Collectors.toList());
            if (toMoveToWithLoadQueueCapacityAndNotServingSegment.size() > 0) {
                final ServerHolder destinationHolder = strategy.findNewSegmentHomeBalancer(segmentToMove, toMoveToWithLoadQueueCapacityAndNotServingSegment);
                if (destinationHolder != null && !destinationHolder.getServer().equals(fromServer)) {
                    if (moveSegment(segmentToMoveHolder, destinationHolder.getServer(), params)) {
                        moved++;
                    } else {
                        unmoved++;
                    }
                } else {
                    log.debug("Segment [%s] is 'optimally' placed.", segmentToMove.getId());
                    unmoved++;
                }
            } else {
                log.debug("No valid movement destinations for segment [%s].", segmentToMove.getId());
                unmoved++;
            }
        }
        if (iter >= maxIterations) {
            log.info("Unable to select %d remaining candidate segments out of %d total to balance " + "after %d iterations, ending run.", (maxSegmentsToMove - moved - unmoved), maxSegmentsToMove, iter);
            break;
        }
    }
    return new Pair<>(moved, unmoved);
}

Example 5 with DruidCoordinatorRuntimeParams

use of org.apache.druid.server.coordinator.DruidCoordinatorRuntimeParams in project druid by druid-io.

the class EmitClusterStatsAndMetrics method run.

@Override
public DruidCoordinatorRuntimeParams run(DruidCoordinatorRuntimeParams params) {
    DruidCluster cluster = params.getDruidCluster();
    CoordinatorStats stats = params.getCoordinatorStats();
    ServiceEmitter emitter = params.getEmitter();
    stats.forEachTieredStat("assignedCount", (final String tier, final long count) -> {
        log.info("[%s] : Assigned %s segments among %,d servers", tier, count, cluster.getHistoricalsByTier(tier).size());
        emitTieredStat(emitter, "segment/assigned/count", tier, count);
    });
    stats.forEachTieredStat("droppedCount", (final String tier, final long count) -> {
        log.info("[%s] : Dropped %s segments among %,d servers", tier, count, cluster.getHistoricalsByTier(tier).size());
        emitTieredStat(emitter, "segment/dropped/count", tier, count);
    });
    emitTieredStats(emitter, "segment/cost/raw", stats, "initialCost");
    emitTieredStats(emitter, "segment/cost/normalization", stats, "normalization");
    emitTieredStats(emitter, "segment/moved/count", stats, "movedCount");
    emitTieredStats(emitter, "segment/deleted/count", stats, "deletedCount");
    stats.forEachTieredStat("normalizedInitialCostTimesOneThousand", (final String tier, final long count) -> {
        emitTieredStat(emitter, "segment/cost/normalized", tier, count / 1000d);
    });
    stats.forEachTieredStat("unneededCount", (final String tier, final long count) -> {
        log.info("[%s] : Removed %s unneeded segments among %,d servers", tier, count, cluster.getHistoricalsByTier(tier).size());
        emitTieredStat(emitter, "segment/unneeded/count", tier, count);
    });
    emitter.emit(new ServiceMetricEvent.Builder().build("segment/overShadowed/count", stats.getGlobalStat("overShadowedCount")));
    stats.forEachTieredStat("movedCount", (final String tier, final long count) -> {
        log.info("[%s] : Moved %,d segment(s)", tier, count);
    });
    stats.forEachTieredStat("unmovedCount", (final String tier, final long count) -> {
        log.info("[%s] : Let alone %,d segment(s)", tier, count);
    });
    log.info("Load Queues:");
    for (Iterable<ServerHolder> serverHolders : cluster.getSortedHistoricalsByTier()) {
        for (ServerHolder serverHolder : serverHolders) {
            ImmutableDruidServer server = serverHolder.getServer();
            LoadQueuePeon queuePeon = serverHolder.getPeon();
            log.info("Server[%s, %s, %s] has %,d left to load, %,d left to drop, %,d bytes queued, %,d bytes served.", server.getName(), server.getType().toString(), server.getTier(), queuePeon.getSegmentsToLoad().size(), queuePeon.getSegmentsToDrop().size(), queuePeon.getLoadQueueSize(), server.getCurrSize());
            if (log.isDebugEnabled()) {
                for (DataSegment segment : queuePeon.getSegmentsToLoad()) {
                    log.debug("Segment to load[%s]", segment);
                }
                for (DataSegment segment : queuePeon.getSegmentsToDrop()) {
                    log.debug("Segment to drop[%s]", segment);
                }
            }
            stats.addToTieredStat(TOTAL_CAPACITY, server.getTier(), server.getMaxSize());
            stats.addToTieredStat(TOTAL_HISTORICAL_COUNT, server.getTier(), 1);
        }
    }
    params.getDatabaseRuleManager().getAllRules().values().forEach(rules -> rules.forEach(rule -> {
        if (rule instanceof LoadRule) {
            ((LoadRule) rule).getTieredReplicants().forEach((tier, replica) -> stats.accumulateMaxTieredStat(MAX_REPLICATION_FACTOR, tier, replica));
        }
    }));
    emitTieredStats(emitter, "tier/required/capacity", stats, LoadRule.REQUIRED_CAPACITY);
    emitTieredStats(emitter, "tier/total/capacity", stats, TOTAL_CAPACITY);
    emitTieredStats(emitter, "tier/replication/factor", stats, MAX_REPLICATION_FACTOR);
    emitTieredStats(emitter, "tier/historical/count", stats, TOTAL_HISTORICAL_COUNT);
    // Emit coordinator metrics
    params.getLoadManagementPeons().forEach((final String serverName, final LoadQueuePeon queuePeon) -> {
        emitter.emit(new ServiceMetricEvent.Builder().setDimension(DruidMetrics.SERVER, serverName).build("segment/loadQueue/size", queuePeon.getLoadQueueSize()));
        emitter.emit(new ServiceMetricEvent.Builder().setDimension(DruidMetrics.SERVER, serverName).build("segment/loadQueue/failed", queuePeon.getAndResetFailedAssignCount()));
        emitter.emit(new ServiceMetricEvent.Builder().setDimension(DruidMetrics.SERVER, serverName).build("segment/loadQueue/count", queuePeon.getSegmentsToLoad().size()));
        emitter.emit(new ServiceMetricEvent.Builder().setDimension(DruidMetrics.SERVER, serverName).build("segment/dropQueue/count", queuePeon.getSegmentsToDrop().size()));
    });
    coordinator.computeNumsUnavailableUsedSegmentsPerDataSource().object2IntEntrySet().forEach((final Object2IntMap.Entry<String> entry) -> {
        final String dataSource = entry.getKey();
        final int numUnavailableUsedSegmentsInDataSource = entry.getIntValue();
        emitter.emit(new ServiceMetricEvent.Builder().setDimension(DruidMetrics.DATASOURCE, dataSource).build("segment/unavailable/count", numUnavailableUsedSegmentsInDataSource));
    });
    coordinator.computeUnderReplicationCountsPerDataSourcePerTier().forEach((final String tier, final Object2LongMap<String> underReplicationCountsPerDataSource) -> {
        for (final Object2LongMap.Entry<String> entry : underReplicationCountsPerDataSource.object2LongEntrySet()) {
            final String dataSource = entry.getKey();
            final long underReplicationCount = entry.getLongValue();
            emitter.emit(new ServiceMetricEvent.Builder().setDimension(DruidMetrics.TIER, tier).setDimension(DruidMetrics.DATASOURCE, dataSource).build("segment/underReplicated/count", underReplicationCount));
        }
    });
    emitter.emit(new ServiceMetricEvent.Builder().build("compact/task/count", stats.getGlobalStat(CompactSegments.COMPACTION_TASK_COUNT)));
    emitter.emit(new ServiceMetricEvent.Builder().build("compactTask/maxSlot/count", stats.getGlobalStat(CompactSegments.MAX_COMPACTION_TASK_SLOT)));
    emitter.emit(new ServiceMetricEvent.Builder().build("compactTask/availableSlot/count", stats.getGlobalStat(CompactSegments.AVAILABLE_COMPACTION_TASK_SLOT)));
    stats.forEachDataSourceStat(CompactSegments.TOTAL_SIZE_OF_SEGMENTS_AWAITING, (final String dataSource, final long count) -> {
        emitter.emit(new ServiceMetricEvent.Builder().setDimension(DruidMetrics.DATASOURCE, dataSource).build("segment/waitCompact/bytes", count));
    });
    stats.forEachDataSourceStat(CompactSegments.TOTAL_COUNT_OF_SEGMENTS_AWAITING, (final String dataSource, final long count) -> {
        emitter.emit(new ServiceMetricEvent.Builder().setDimension(DruidMetrics.DATASOURCE, dataSource).build("segment/waitCompact/count", count));
    });
    stats.forEachDataSourceStat(CompactSegments.TOTAL_INTERVAL_OF_SEGMENTS_AWAITING, (final String dataSource, final long count) -> {
        emitter.emit(new ServiceMetricEvent.Builder().setDimension(DruidMetrics.DATASOURCE, dataSource).build("interval/waitCompact/count", count));
    });
    stats.forEachDataSourceStat(CompactSegments.TOTAL_SIZE_OF_SEGMENTS_SKIPPED, (final String dataSource, final long count) -> {
        emitter.emit(new ServiceMetricEvent.Builder().setDimension(DruidMetrics.DATASOURCE, dataSource).build("segment/skipCompact/bytes", count));
    });
    stats.forEachDataSourceStat(CompactSegments.TOTAL_COUNT_OF_SEGMENTS_SKIPPED, (final String dataSource, final long count) -> {
        emitter.emit(new ServiceMetricEvent.Builder().setDimension(DruidMetrics.DATASOURCE, dataSource).build("segment/skipCompact/count", count));
    });
    stats.forEachDataSourceStat(CompactSegments.TOTAL_INTERVAL_OF_SEGMENTS_SKIPPED, (final String dataSource, final long count) -> {
        emitter.emit(new ServiceMetricEvent.Builder().setDimension(DruidMetrics.DATASOURCE, dataSource).build("interval/skipCompact/count", count));
    });
    stats.forEachDataSourceStat(CompactSegments.TOTAL_SIZE_OF_SEGMENTS_COMPACTED, (final String dataSource, final long count) -> {
        emitter.emit(new ServiceMetricEvent.Builder().setDimension(DruidMetrics.DATASOURCE, dataSource).build("segment/compacted/bytes", count));
    });
    stats.forEachDataSourceStat(CompactSegments.TOTAL_COUNT_OF_SEGMENTS_COMPACTED, (final String dataSource, final long count) -> {
        emitter.emit(new ServiceMetricEvent.Builder().setDimension(DruidMetrics.DATASOURCE, dataSource).build("segment/compacted/count", count));
    });
    stats.forEachDataSourceStat(CompactSegments.TOTAL_INTERVAL_OF_SEGMENTS_COMPACTED, (final String dataSource, final long count) -> {
        emitter.emit(new ServiceMetricEvent.Builder().setDimension(DruidMetrics.DATASOURCE, dataSource).build("interval/compacted/count", count));
    });
    // Emit segment metrics
    params.getUsedSegmentsTimelinesPerDataSource().forEach((String dataSource, VersionedIntervalTimeline<String, DataSegment> dataSourceWithUsedSegments) -> {
        long totalSizeOfUsedSegments = dataSourceWithUsedSegments.iterateAllObjects().stream().mapToLong(DataSegment::getSize).sum();
        emitter.emit(new ServiceMetricEvent.Builder().setDimension(DruidMetrics.DATASOURCE, dataSource).build("segment/size", totalSizeOfUsedSegments));
        emitter.emit(new ServiceMetricEvent.Builder().setDimension(DruidMetrics.DATASOURCE, dataSource).build("segment/count", dataSourceWithUsedSegments.getNumObjects()));
    });
    // Emit coordinator runtime stats
    emitDutyStats(emitter, "coordinator/time", stats, "runtime");
    return params;
}