Examples with PartitionChunk io.druid.timeline.partition.PartitionChunk used on opensource projects

Example 1 with PartitionChunk

use of io.druid.timeline.partition.PartitionChunk in project druid by druid-io.

the class IngestSegmentFirehoseFactory method connect.

@Override
public Firehose connect(InputRowParser inputRowParser) throws IOException, ParseException {
    log.info("Connecting firehose: dataSource[%s], interval[%s]", dataSource, interval);
    if (taskToolbox == null) {
        // Noop Task is just used to create the toolbox and list segments.
        taskToolbox = injector.getInstance(TaskToolboxFactory.class).build(new NoopTask("reingest", 0, 0, null, null, null));
    }
    try {
        final List<DataSegment> usedSegments = taskToolbox.getTaskActionClient().submit(new SegmentListUsedAction(dataSource, interval, null));
        final Map<DataSegment, File> segmentFileMap = taskToolbox.fetchSegments(usedSegments);
        VersionedIntervalTimeline<String, DataSegment> timeline = new VersionedIntervalTimeline<>(Ordering.<String>natural().nullsFirst());
        for (DataSegment segment : usedSegments) {
            timeline.add(segment.getInterval(), segment.getVersion(), segment.getShardSpec().createChunk(segment));
        }
        final List<TimelineObjectHolder<String, DataSegment>> timeLineSegments = timeline.lookup(interval);
        final List<String> dims;
        if (dimensions != null) {
            dims = dimensions;
        } else if (inputRowParser.getParseSpec().getDimensionsSpec().hasCustomDimensions()) {
            dims = inputRowParser.getParseSpec().getDimensionsSpec().getDimensionNames();
        } else {
            Set<String> dimSet = Sets.newHashSet(Iterables.concat(Iterables.transform(timeLineSegments, new Function<TimelineObjectHolder<String, DataSegment>, Iterable<String>>() {

                @Override
                public Iterable<String> apply(TimelineObjectHolder<String, DataSegment> timelineObjectHolder) {
                    return Iterables.concat(Iterables.transform(timelineObjectHolder.getObject(), new Function<PartitionChunk<DataSegment>, Iterable<String>>() {

                        @Override
                        public Iterable<String> apply(PartitionChunk<DataSegment> input) {
                            return input.getObject().getDimensions();
                        }
                    }));
                }
            })));
            dims = Lists.newArrayList(Sets.difference(dimSet, inputRowParser.getParseSpec().getDimensionsSpec().getDimensionExclusions()));
        }
        final List<String> metricsList;
        if (metrics != null) {
            metricsList = metrics;
        } else {
            Set<String> metricsSet = Sets.newHashSet(Iterables.concat(Iterables.transform(timeLineSegments, new Function<TimelineObjectHolder<String, DataSegment>, Iterable<String>>() {

                @Override
                public Iterable<String> apply(TimelineObjectHolder<String, DataSegment> input) {
                    return Iterables.concat(Iterables.transform(input.getObject(), new Function<PartitionChunk<DataSegment>, Iterable<String>>() {

                        @Override
                        public Iterable<String> apply(PartitionChunk<DataSegment> input) {
                            return input.getObject().getMetrics();
                        }
                    }));
                }
            })));
            metricsList = Lists.newArrayList(metricsSet);
        }
        final List<WindowedStorageAdapter> adapters = Lists.newArrayList(Iterables.concat(Iterables.transform(timeLineSegments, new Function<TimelineObjectHolder<String, DataSegment>, Iterable<WindowedStorageAdapter>>() {

            @Override
            public Iterable<WindowedStorageAdapter> apply(final TimelineObjectHolder<String, DataSegment> holder) {
                return Iterables.transform(holder.getObject(), new Function<PartitionChunk<DataSegment>, WindowedStorageAdapter>() {

                    @Override
                    public WindowedStorageAdapter apply(final PartitionChunk<DataSegment> input) {
                        final DataSegment segment = input.getObject();
                        try {
                            return new WindowedStorageAdapter(new QueryableIndexStorageAdapter(indexIO.loadIndex(Preconditions.checkNotNull(segmentFileMap.get(segment), "File for segment %s", segment.getIdentifier()))), holder.getInterval());
                        } catch (IOException e) {
                            throw Throwables.propagate(e);
                        }
                    }
                });
            }
        })));
        return new IngestSegmentFirehose(adapters, dims, metricsList, dimFilter, Granularities.NONE);
    } catch (IOException e) {
        throw Throwables.propagate(e);
    } catch (SegmentLoadingException e) {
        throw Throwables.propagate(e);
    }
}

Example 2 with PartitionChunk

use of io.druid.timeline.partition.PartitionChunk in project druid by druid-io.

the class NumberedShardSpecTest method testPartitionChunks.

@Test
public void testPartitionChunks() {
    final List<ShardSpec> specs = ImmutableList.<ShardSpec>of(new NumberedShardSpec(0, 3), new NumberedShardSpec(1, 3), new NumberedShardSpec(2, 3));
    final List<PartitionChunk<String>> chunks = Lists.transform(specs, new Function<ShardSpec, PartitionChunk<String>>() {

        @Override
        public PartitionChunk<String> apply(ShardSpec shardSpec) {
            return shardSpec.createChunk("rofl");
        }
    });
    Assert.assertEquals(0, chunks.get(0).getChunkNumber());
    Assert.assertEquals(1, chunks.get(1).getChunkNumber());
    Assert.assertEquals(2, chunks.get(2).getChunkNumber());
    Assert.assertTrue(chunks.get(0).isStart());
    Assert.assertFalse(chunks.get(1).isStart());
    Assert.assertFalse(chunks.get(2).isStart());
    Assert.assertFalse(chunks.get(0).isEnd());
    Assert.assertFalse(chunks.get(1).isEnd());
    Assert.assertTrue(chunks.get(2).isEnd());
    Assert.assertTrue(chunks.get(0).abuts(chunks.get(1)));
    Assert.assertTrue(chunks.get(1).abuts(chunks.get(2)));
    Assert.assertFalse(chunks.get(0).abuts(chunks.get(0)));
    Assert.assertFalse(chunks.get(0).abuts(chunks.get(2)));
    Assert.assertFalse(chunks.get(1).abuts(chunks.get(0)));
    Assert.assertFalse(chunks.get(1).abuts(chunks.get(1)));
    Assert.assertFalse(chunks.get(2).abuts(chunks.get(0)));
    Assert.assertFalse(chunks.get(2).abuts(chunks.get(1)));
    Assert.assertFalse(chunks.get(2).abuts(chunks.get(2)));
}

Example 3 with PartitionChunk

use of io.druid.timeline.partition.PartitionChunk in project druid by druid-io.

the class CachingClusteredClient method run.

@Override
public Sequence<T> run(final Query<T> query, final Map<String, Object> responseContext) {
    final QueryToolChest<T, Query<T>> toolChest = warehouse.getToolChest(query);
    final CacheStrategy<T, Object, Query<T>> strategy = toolChest.getCacheStrategy(query);
    final Map<DruidServer, List<SegmentDescriptor>> serverSegments = Maps.newTreeMap();
    final List<Pair<Interval, byte[]>> cachedResults = Lists.newArrayList();
    final Map<String, CachePopulator> cachePopulatorMap = Maps.newHashMap();
    final boolean useCache = CacheUtil.useCacheOnBrokers(query, strategy, cacheConfig);
    final boolean populateCache = CacheUtil.populateCacheOnBrokers(query, strategy, cacheConfig);
    final boolean isBySegment = BaseQuery.getContextBySegment(query, false);
    final ImmutableMap.Builder<String, Object> contextBuilder = new ImmutableMap.Builder<>();
    final int priority = BaseQuery.getContextPriority(query, 0);
    contextBuilder.put("priority", priority);
    if (populateCache) {
        // prevent down-stream nodes from caching results as well if we are populating the cache
        contextBuilder.put(CacheConfig.POPULATE_CACHE, false);
        contextBuilder.put("bySegment", true);
    }
    TimelineLookup<String, ServerSelector> timeline = serverView.getTimeline(query.getDataSource());
    if (timeline == null) {
        return Sequences.empty();
    }
    // build set of segments to query
    Set<Pair<ServerSelector, SegmentDescriptor>> segments = Sets.newLinkedHashSet();
    List<TimelineObjectHolder<String, ServerSelector>> serversLookup = Lists.newLinkedList();
    // Note that enabling this leads to putting uncovered intervals information in the response headers
    // and might blow up in some cases https://github.com/druid-io/druid/issues/2108
    int uncoveredIntervalsLimit = BaseQuery.getContextUncoveredIntervalsLimit(query, 0);
    if (uncoveredIntervalsLimit > 0) {
        List<Interval> uncoveredIntervals = Lists.newArrayListWithCapacity(uncoveredIntervalsLimit);
        boolean uncoveredIntervalsOverflowed = false;
        for (Interval interval : query.getIntervals()) {
            Iterable<TimelineObjectHolder<String, ServerSelector>> lookup = timeline.lookup(interval);
            long startMillis = interval.getStartMillis();
            long endMillis = interval.getEndMillis();
            for (TimelineObjectHolder<String, ServerSelector> holder : lookup) {
                Interval holderInterval = holder.getInterval();
                long intervalStart = holderInterval.getStartMillis();
                if (!uncoveredIntervalsOverflowed && startMillis != intervalStart) {
                    if (uncoveredIntervalsLimit > uncoveredIntervals.size()) {
                        uncoveredIntervals.add(new Interval(startMillis, intervalStart));
                    } else {
                        uncoveredIntervalsOverflowed = true;
                    }
                }
                startMillis = holderInterval.getEndMillis();
                serversLookup.add(holder);
            }
            if (!uncoveredIntervalsOverflowed && startMillis < endMillis) {
                if (uncoveredIntervalsLimit > uncoveredIntervals.size()) {
                    uncoveredIntervals.add(new Interval(startMillis, endMillis));
                } else {
                    uncoveredIntervalsOverflowed = true;
                }
            }
        }
        if (!uncoveredIntervals.isEmpty()) {
            // This returns intervals for which NO segment is present.
            // Which is not necessarily an indication that the data doesn't exist or is
            // incomplete. The data could exist and just not be loaded yet.  In either
            // case, though, this query will not include any data from the identified intervals.
            responseContext.put("uncoveredIntervals", uncoveredIntervals);
            responseContext.put("uncoveredIntervalsOverflowed", uncoveredIntervalsOverflowed);
        }
    } else {
        for (Interval interval : query.getIntervals()) {
            Iterables.addAll(serversLookup, timeline.lookup(interval));
        }
    }
    // Let tool chest filter out unneeded segments
    final List<TimelineObjectHolder<String, ServerSelector>> filteredServersLookup = toolChest.filterSegments(query, serversLookup);
    Map<String, Optional<RangeSet<String>>> dimensionRangeCache = Maps.newHashMap();
    // Filter unneeded chunks based on partition dimension
    for (TimelineObjectHolder<String, ServerSelector> holder : filteredServersLookup) {
        final Set<PartitionChunk<ServerSelector>> filteredChunks = DimFilterUtils.filterShards(query.getFilter(), holder.getObject(), new Function<PartitionChunk<ServerSelector>, ShardSpec>() {

            @Override
            public ShardSpec apply(PartitionChunk<ServerSelector> input) {
                return input.getObject().getSegment().getShardSpec();
            }
        }, dimensionRangeCache);
        for (PartitionChunk<ServerSelector> chunk : filteredChunks) {
            ServerSelector selector = chunk.getObject();
            final SegmentDescriptor descriptor = new SegmentDescriptor(holder.getInterval(), holder.getVersion(), chunk.getChunkNumber());
            segments.add(Pair.of(selector, descriptor));
        }
    }
    final byte[] queryCacheKey;
    if (// implies strategy != null
    (populateCache || useCache) && // explicit bySegment queries are never cached
    !isBySegment) {
        queryCacheKey = strategy.computeCacheKey(query);
    } else {
        queryCacheKey = null;
    }
    if (query.getContext().get(QueryResource.HDR_IF_NONE_MATCH) != null) {
        String prevEtag = (String) query.getContext().get(QueryResource.HDR_IF_NONE_MATCH);
        //compute current Etag
        Hasher hasher = Hashing.sha1().newHasher();
        boolean hasOnlyHistoricalSegments = true;
        for (Pair<ServerSelector, SegmentDescriptor> p : segments) {
            if (!p.lhs.pick().getServer().isAssignable()) {
                hasOnlyHistoricalSegments = false;
                break;
            }
            hasher.putString(p.lhs.getSegment().getIdentifier(), Charsets.UTF_8);
        }
        if (hasOnlyHistoricalSegments) {
            hasher.putBytes(queryCacheKey == null ? strategy.computeCacheKey(query) : queryCacheKey);
            String currEtag = Base64.encodeBase64String(hasher.hash().asBytes());
            responseContext.put(QueryResource.HDR_ETAG, currEtag);
            if (prevEtag.equals(currEtag)) {
                return Sequences.empty();
            }
        }
    }
    if (queryCacheKey != null) {
        // cachKeys map must preserve segment ordering, in order for shards to always be combined in the same order
        Map<Pair<ServerSelector, SegmentDescriptor>, Cache.NamedKey> cacheKeys = Maps.newLinkedHashMap();
        for (Pair<ServerSelector, SegmentDescriptor> segment : segments) {
            final Cache.NamedKey segmentCacheKey = CacheUtil.computeSegmentCacheKey(segment.lhs.getSegment().getIdentifier(), segment.rhs, queryCacheKey);
            cacheKeys.put(segment, segmentCacheKey);
        }
        // Pull cached segments from cache and remove from set of segments to query
        final Map<Cache.NamedKey, byte[]> cachedValues;
        if (useCache) {
            cachedValues = cache.getBulk(Iterables.limit(cacheKeys.values(), cacheConfig.getCacheBulkMergeLimit()));
        } else {
            cachedValues = ImmutableMap.of();
        }
        for (Map.Entry<Pair<ServerSelector, SegmentDescriptor>, Cache.NamedKey> entry : cacheKeys.entrySet()) {
            Pair<ServerSelector, SegmentDescriptor> segment = entry.getKey();
            Cache.NamedKey segmentCacheKey = entry.getValue();
            final Interval segmentQueryInterval = segment.rhs.getInterval();
            final byte[] cachedValue = cachedValues.get(segmentCacheKey);
            if (cachedValue != null) {
                // remove cached segment from set of segments to query
                segments.remove(segment);
                cachedResults.add(Pair.of(segmentQueryInterval, cachedValue));
            } else if (populateCache) {
                // otherwise, if populating cache, add segment to list of segments to cache
                final String segmentIdentifier = segment.lhs.getSegment().getIdentifier();
                cachePopulatorMap.put(String.format("%s_%s", segmentIdentifier, segmentQueryInterval), new CachePopulator(cache, objectMapper, segmentCacheKey));
            }
        }
    }
    // Compile list of all segments not pulled from cache
    for (Pair<ServerSelector, SegmentDescriptor> segment : segments) {
        final QueryableDruidServer queryableDruidServer = segment.lhs.pick();
        if (queryableDruidServer == null) {
            log.makeAlert("No servers found for SegmentDescriptor[%s] for DataSource[%s]?! How can this be?!", segment.rhs, query.getDataSource()).emit();
        } else {
            final DruidServer server = queryableDruidServer.getServer();
            List<SegmentDescriptor> descriptors = serverSegments.get(server);
            if (descriptors == null) {
                descriptors = Lists.newArrayList();
                serverSegments.put(server, descriptors);
            }
            descriptors.add(segment.rhs);
        }
    }
    return new LazySequence<>(new Supplier<Sequence<T>>() {

        @Override
        public Sequence<T> get() {
            ArrayList<Sequence<T>> sequencesByInterval = Lists.newArrayList();
            addSequencesFromCache(sequencesByInterval);
            addSequencesFromServer(sequencesByInterval);
            return mergeCachedAndUncachedSequences(query, sequencesByInterval);
        }

        private void addSequencesFromCache(ArrayList<Sequence<T>> listOfSequences) {
            if (strategy == null) {
                return;
            }
            final Function<Object, T> pullFromCacheFunction = strategy.pullFromCache();
            final TypeReference<Object> cacheObjectClazz = strategy.getCacheObjectClazz();
            for (Pair<Interval, byte[]> cachedResultPair : cachedResults) {
                final byte[] cachedResult = cachedResultPair.rhs;
                Sequence<Object> cachedSequence = new BaseSequence<>(new BaseSequence.IteratorMaker<Object, Iterator<Object>>() {

                    @Override
                    public Iterator<Object> make() {
                        try {
                            if (cachedResult.length == 0) {
                                return Iterators.emptyIterator();
                            }
                            return objectMapper.readValues(objectMapper.getFactory().createParser(cachedResult), cacheObjectClazz);
                        } catch (IOException e) {
                            throw Throwables.propagate(e);
                        }
                    }

                    @Override
                    public void cleanup(Iterator<Object> iterFromMake) {
                    }
                });
                listOfSequences.add(Sequences.map(cachedSequence, pullFromCacheFunction));
            }
        }

        private void addSequencesFromServer(ArrayList<Sequence<T>> listOfSequences) {
            listOfSequences.ensureCapacity(listOfSequences.size() + serverSegments.size());
            final Query<T> rewrittenQuery = query.withOverriddenContext(contextBuilder.build());
            // The data gets handled as a Future and parsed in the long Sequence chain in the resultSeqToAdd setter.
            for (Map.Entry<DruidServer, List<SegmentDescriptor>> entry : serverSegments.entrySet()) {
                final DruidServer server = entry.getKey();
                final List<SegmentDescriptor> descriptors = entry.getValue();
                final QueryRunner clientQueryable = serverView.getQueryRunner(server);
                if (clientQueryable == null) {
                    log.error("WTF!? server[%s] doesn't have a client Queryable?", server);
                    continue;
                }
                final MultipleSpecificSegmentSpec segmentSpec = new MultipleSpecificSegmentSpec(descriptors);
                final Sequence<T> resultSeqToAdd;
                if (!server.isAssignable() || !populateCache || isBySegment) {
                    // Direct server queryable
                    if (!isBySegment) {
                        resultSeqToAdd = clientQueryable.run(query.withQuerySegmentSpec(segmentSpec), responseContext);
                    } else {
                        // bySegment queries need to be de-serialized, see DirectDruidClient.run()
                        @SuppressWarnings("unchecked") final Query<Result<BySegmentResultValueClass<T>>> bySegmentQuery = (Query<Result<BySegmentResultValueClass<T>>>) ((Query) query);
                        @SuppressWarnings("unchecked") final Sequence<Result<BySegmentResultValueClass<T>>> resultSequence = clientQueryable.run(bySegmentQuery.withQuerySegmentSpec(segmentSpec), responseContext);
                        resultSeqToAdd = (Sequence) Sequences.map(resultSequence, new Function<Result<BySegmentResultValueClass<T>>, Result<BySegmentResultValueClass<T>>>() {

                            @Override
                            public Result<BySegmentResultValueClass<T>> apply(Result<BySegmentResultValueClass<T>> input) {
                                final BySegmentResultValueClass<T> bySegmentValue = input.getValue();
                                return new Result<>(input.getTimestamp(), new BySegmentResultValueClass<T>(Lists.transform(bySegmentValue.getResults(), toolChest.makePreComputeManipulatorFn(query, MetricManipulatorFns.deserializing())), bySegmentValue.getSegmentId(), bySegmentValue.getInterval()));
                            }
                        });
                    }
                } else {
                    // Requires some manipulation on broker side
                    @SuppressWarnings("unchecked") final Sequence<Result<BySegmentResultValueClass<T>>> runningSequence = clientQueryable.run(rewrittenQuery.withQuerySegmentSpec(segmentSpec), responseContext);
                    resultSeqToAdd = new MergeSequence(query.getResultOrdering(), Sequences.<Result<BySegmentResultValueClass<T>>, Sequence<T>>map(runningSequence, new Function<Result<BySegmentResultValueClass<T>>, Sequence<T>>() {

                        private final Function<T, Object> cacheFn = strategy.prepareForCache();

                        // Acctually do something with the results
                        @Override
                        public Sequence<T> apply(Result<BySegmentResultValueClass<T>> input) {
                            final BySegmentResultValueClass<T> value = input.getValue();
                            final CachePopulator cachePopulator = cachePopulatorMap.get(String.format("%s_%s", value.getSegmentId(), value.getInterval()));
                            final Queue<ListenableFuture<Object>> cacheFutures = new ConcurrentLinkedQueue<>();
                            return Sequences.<T>withEffect(Sequences.<T, T>map(Sequences.<T, T>map(Sequences.<T>simple(value.getResults()), new Function<T, T>() {

                                @Override
                                public T apply(final T input) {
                                    if (cachePopulator != null) {
                                        // only compute cache data if populating cache
                                        cacheFutures.add(backgroundExecutorService.submit(new Callable<Object>() {

                                            @Override
                                            public Object call() {
                                                return cacheFn.apply(input);
                                            }
                                        }));
                                    }
                                    return input;
                                }
                            }), toolChest.makePreComputeManipulatorFn(// This casting is sub-optimal, but hasn't caused any major problems yet...
                            (Query) rewrittenQuery, MetricManipulatorFns.deserializing())), new Runnable() {

                                @Override
                                public void run() {
                                    if (cachePopulator != null) {
                                        Futures.addCallback(Futures.allAsList(cacheFutures), new FutureCallback<List<Object>>() {

                                            @Override
                                            public void onSuccess(List<Object> cacheData) {
                                                cachePopulator.populate(cacheData);
                                                // Help out GC by making sure all references are gone
                                                cacheFutures.clear();
                                            }

                                            @Override
                                            public void onFailure(Throwable throwable) {
                                                log.error(throwable, "Background caching failed");
                                            }
                                        }, backgroundExecutorService);
                                    }
                                }
                            }, MoreExecutors.sameThreadExecutor());
                        // End withEffect
                        }
                    }));
                }
                listOfSequences.add(resultSeqToAdd);
            }
        }
    });
}

Example 4 with PartitionChunk

use of io.druid.timeline.partition.PartitionChunk in project druid by druid-io.

the class ServerManager method getQueryRunnerForSegments.

@Override
public <T> QueryRunner<T> getQueryRunnerForSegments(Query<T> query, Iterable<SegmentDescriptor> specs) {
    final QueryRunnerFactory<T, Query<T>> factory = conglomerate.findFactory(query);
    if (factory == null) {
        log.makeAlert("Unknown query type, [%s]", query.getClass()).addData("dataSource", query.getDataSource()).emit();
        return new NoopQueryRunner<T>();
    }
    final QueryToolChest<T, Query<T>> toolChest = factory.getToolchest();
    String dataSourceName = getDataSourceName(query.getDataSource());
    final VersionedIntervalTimeline<String, ReferenceCountingSegment> timeline = dataSources.get(dataSourceName);
    if (timeline == null) {
        return new NoopQueryRunner<T>();
    }
    final Function<Query<T>, ServiceMetricEvent.Builder> builderFn = getBuilderFn(toolChest);
    final AtomicLong cpuTimeAccumulator = new AtomicLong(0L);
    FunctionalIterable<QueryRunner<T>> queryRunners = FunctionalIterable.create(specs).transformCat(new Function<SegmentDescriptor, Iterable<QueryRunner<T>>>() {

        @Override
        @SuppressWarnings("unchecked")
        public Iterable<QueryRunner<T>> apply(SegmentDescriptor input) {
            final PartitionHolder<ReferenceCountingSegment> entry = timeline.findEntry(input.getInterval(), input.getVersion());
            if (entry == null) {
                return Arrays.<QueryRunner<T>>asList(new ReportTimelineMissingSegmentQueryRunner<T>(input));
            }
            final PartitionChunk<ReferenceCountingSegment> chunk = entry.getChunk(input.getPartitionNumber());
            if (chunk == null) {
                return Arrays.<QueryRunner<T>>asList(new ReportTimelineMissingSegmentQueryRunner<T>(input));
            }
            final ReferenceCountingSegment adapter = chunk.getObject();
            return Arrays.asList(buildAndDecorateQueryRunner(factory, toolChest, adapter, input, builderFn, cpuTimeAccumulator));
        }
    });
    return CPUTimeMetricQueryRunner.safeBuild(new FinalizeResultsQueryRunner<>(toolChest.mergeResults(factory.mergeRunners(exec, queryRunners)), toolChest), builderFn, emitter, cpuTimeAccumulator, true);
}

Example 5 with PartitionChunk

use of io.druid.timeline.partition.PartitionChunk in project druid by druid-io.

the class DatasourcesResource method getSegmentDataSourceSpecificInterval.

/**
   * Provides serverView for a datasource and Interval which gives details about servers hosting segments for an interval
   * Used by the realtime tasks to fetch a view of the interval they are interested in.
   */
@GET
@Path("/{dataSourceName}/intervals/{interval}/serverview")
@Produces(MediaType.APPLICATION_JSON)
@ResourceFilters(DatasourceResourceFilter.class)
public Response getSegmentDataSourceSpecificInterval(@PathParam("dataSourceName") String dataSourceName, @PathParam("interval") String interval, @QueryParam("partial") final boolean partial) {
    TimelineLookup<String, SegmentLoadInfo> timeline = serverInventoryView.getTimeline(new TableDataSource(dataSourceName));
    final Interval theInterval = new Interval(interval.replace("_", "/"));
    if (timeline == null) {
        log.debug("No timeline found for datasource[%s]", dataSourceName);
        return Response.ok(Lists.<ImmutableSegmentLoadInfo>newArrayList()).build();
    }
    Iterable<TimelineObjectHolder<String, SegmentLoadInfo>> lookup = timeline.lookupWithIncompletePartitions(theInterval);
    FunctionalIterable<ImmutableSegmentLoadInfo> retval = FunctionalIterable.create(lookup).transformCat(new Function<TimelineObjectHolder<String, SegmentLoadInfo>, Iterable<ImmutableSegmentLoadInfo>>() {

        @Override
        public Iterable<ImmutableSegmentLoadInfo> apply(TimelineObjectHolder<String, SegmentLoadInfo> input) {
            return Iterables.transform(input.getObject(), new Function<PartitionChunk<SegmentLoadInfo>, ImmutableSegmentLoadInfo>() {

                @Override
                public ImmutableSegmentLoadInfo apply(PartitionChunk<SegmentLoadInfo> chunk) {
                    return chunk.getObject().toImmutableSegmentLoadInfo();
                }
            });
        }
    });
    return Response.ok(retval).build();
}