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Example 11 with Query

use of io.druid.query.Query in project druid by druid-io.

the class TopNQueryTest method testQuerySerialization.

@Test
public void testQuerySerialization() throws IOException {
    Query query = new TopNQueryBuilder().dataSource(dataSource).granularity(allGran).dimension(marketDimension).metric(indexMetric).threshold(4).intervals(fullOnInterval).aggregators(Lists.<AggregatorFactory>newArrayList(Iterables.concat(commonAggregators, Lists.newArrayList(new DoubleMaxAggregatorFactory("maxIndex", "index"), new DoubleMinAggregatorFactory("minIndex", "index"))))).postAggregators(Arrays.<PostAggregator>asList(addRowsIndexConstant)).build();
    String json = jsonMapper.writeValueAsString(query);
    Query serdeQuery = jsonMapper.readValue(json, Query.class);
    Assert.assertEquals(query, serdeQuery);
}
Also used : DoubleMaxAggregatorFactory(io.druid.query.aggregation.DoubleMaxAggregatorFactory) Query(io.druid.query.Query) PostAggregator(io.druid.query.aggregation.PostAggregator) DoubleMinAggregatorFactory(io.druid.query.aggregation.DoubleMinAggregatorFactory) Test(org.junit.Test)

Example 12 with Query

use of io.druid.query.Query in project druid by druid-io.

the class TimeseriesQueryTest method testQuerySerialization.

@Test
public void testQuerySerialization() throws IOException {
    Query query = Druids.newTimeseriesQueryBuilder().dataSource(QueryRunnerTestHelper.dataSource).granularity(QueryRunnerTestHelper.dayGran).intervals(QueryRunnerTestHelper.fullOnInterval).aggregators(Arrays.asList(QueryRunnerTestHelper.rowsCount, QueryRunnerTestHelper.indexDoubleSum)).postAggregators(Arrays.<PostAggregator>asList(QueryRunnerTestHelper.addRowsIndexConstant)).descending(descending).build();
    String json = jsonMapper.writeValueAsString(query);
    Query serdeQuery = jsonMapper.readValue(json, Query.class);
    Assert.assertEquals(query, serdeQuery);
}
Also used : Query(io.druid.query.Query) Test(org.junit.Test)

Example 13 with Query

use of io.druid.query.Query 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);
}
Also used : FirehoseV2(io.druid.data.input.FirehoseV2) RealtimeIOConfig(io.druid.segment.indexing.RealtimeIOConfig) BaseQuery(io.druid.query.BaseQuery) Query(io.druid.query.Query) GroupByQuery(io.druid.query.groupby.GroupByQuery) FirehoseFactory(io.druid.data.input.FirehoseFactory) LinearShardSpec(io.druid.timeline.partition.LinearShardSpec) DateTime(org.joda.time.DateTime) UniformGranularitySpec(io.druid.segment.indexing.granularity.UniformGranularitySpec) QueryRunnerFactoryConglomerate(io.druid.query.QueryRunnerFactoryConglomerate) Sink(io.druid.segment.realtime.plumber.Sink) DefaultObjectMapper(io.druid.jackson.DefaultObjectMapper) ObjectMapper(com.fasterxml.jackson.databind.ObjectMapper) Firehose(io.druid.data.input.Firehose) Period(org.joda.time.Period) IOException(java.io.IOException) PlumberSchool(io.druid.segment.realtime.plumber.PlumberSchool) CountAggregatorFactory(io.druid.query.aggregation.CountAggregatorFactory) AggregatorFactory(io.druid.query.aggregation.AggregatorFactory) LongSumAggregatorFactory(io.druid.query.aggregation.LongSumAggregatorFactory) RealtimeTuningConfig(io.druid.segment.indexing.RealtimeTuningConfig) CountDownLatch(java.util.concurrent.CountDownLatch) DataSchema(io.druid.segment.indexing.DataSchema) CountAggregatorFactory(io.druid.query.aggregation.CountAggregatorFactory) Plumber(io.druid.segment.realtime.plumber.Plumber) ParseException(io.druid.java.util.common.parsers.ParseException) DefaultObjectMapper(io.druid.jackson.DefaultObjectMapper) InputRowParser(io.druid.data.input.impl.InputRowParser) Map(java.util.Map) ImmutableMap(com.google.common.collect.ImmutableMap) FirehoseFactoryV2(io.druid.data.input.FirehoseFactoryV2) Interval(org.joda.time.Interval) Before(org.junit.Before)

Example 14 with Query

use of io.druid.query.Query in project druid by druid-io.

the class ServerManagerTest method setUp.

@Before
public void setUp() throws IOException {
    EmittingLogger.registerEmitter(new NoopServiceEmitter());
    queryWaitLatch = new CountDownLatch(1);
    queryWaitYieldLatch = new CountDownLatch(1);
    queryNotifyLatch = new CountDownLatch(1);
    factory = new MyQueryRunnerFactory(queryWaitLatch, queryWaitYieldLatch, queryNotifyLatch);
    serverManagerExec = Executors.newFixedThreadPool(2);
    serverManager = new ServerManager(new SegmentLoader() {

        @Override
        public boolean isSegmentLoaded(DataSegment segment) throws SegmentLoadingException {
            return false;
        }

        @Override
        public Segment getSegment(final DataSegment segment) {
            return new SegmentForTesting(MapUtils.getString(segment.getLoadSpec(), "version"), (Interval) segment.getLoadSpec().get("interval"));
        }

        @Override
        public File getSegmentFiles(DataSegment segment) throws SegmentLoadingException {
            throw new UnsupportedOperationException();
        }

        @Override
        public void cleanup(DataSegment segment) throws SegmentLoadingException {
        }
    }, new QueryRunnerFactoryConglomerate() {

        @Override
        public <T, QueryType extends Query<T>> QueryRunnerFactory<T, QueryType> findFactory(QueryType query) {
            return (QueryRunnerFactory) factory;
        }
    }, new NoopServiceEmitter(), serverManagerExec, MoreExecutors.sameThreadExecutor(), new DefaultObjectMapper(), new LocalCacheProvider().get(), new CacheConfig());
    loadQueryable("test", "1", new Interval("P1d/2011-04-01"));
    loadQueryable("test", "1", new Interval("P1d/2011-04-02"));
    loadQueryable("test", "2", new Interval("P1d/2011-04-02"));
    loadQueryable("test", "1", new Interval("P1d/2011-04-03"));
    loadQueryable("test", "1", new Interval("P1d/2011-04-04"));
    loadQueryable("test", "1", new Interval("P1d/2011-04-05"));
    loadQueryable("test", "2", new Interval("PT1h/2011-04-04T01"));
    loadQueryable("test", "2", new Interval("PT1h/2011-04-04T02"));
    loadQueryable("test", "2", new Interval("PT1h/2011-04-04T03"));
    loadQueryable("test", "2", new Interval("PT1h/2011-04-04T05"));
    loadQueryable("test", "2", new Interval("PT1h/2011-04-04T06"));
    loadQueryable("test2", "1", new Interval("P1d/2011-04-01"));
    loadQueryable("test2", "1", new Interval("P1d/2011-04-02"));
}
Also used : Query(io.druid.query.Query) SearchQuery(io.druid.query.search.search.SearchQuery) NoopServiceEmitter(io.druid.server.metrics.NoopServiceEmitter) CountDownLatch(java.util.concurrent.CountDownLatch) DataSegment(io.druid.timeline.DataSegment) SegmentLoader(io.druid.segment.loading.SegmentLoader) QueryRunnerFactoryConglomerate(io.druid.query.QueryRunnerFactoryConglomerate) QueryRunnerFactory(io.druid.query.QueryRunnerFactory) DefaultObjectMapper(io.druid.jackson.DefaultObjectMapper) LocalCacheProvider(io.druid.client.cache.LocalCacheProvider) CacheConfig(io.druid.client.cache.CacheConfig) Interval(org.joda.time.Interval) Before(org.junit.Before)

Example 15 with Query

use of io.druid.query.Query 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);
            }
        }
    });
}
Also used : BaseQuery(io.druid.query.BaseQuery) Query(io.druid.query.Query) ArrayList(java.util.ArrayList) ShardSpec(io.druid.timeline.partition.ShardSpec) QueryableDruidServer(io.druid.client.selector.QueryableDruidServer) Result(io.druid.query.Result) ServerSelector(io.druid.client.selector.ServerSelector) List(java.util.List) ArrayList(java.util.ArrayList) FutureCallback(com.google.common.util.concurrent.FutureCallback) Optional(com.google.common.base.Optional) QueryableDruidServer(io.druid.client.selector.QueryableDruidServer) BySegmentResultValueClass(io.druid.query.BySegmentResultValueClass) LazySequence(io.druid.java.util.common.guava.LazySequence) BaseSequence(io.druid.java.util.common.guava.BaseSequence) Sequence(io.druid.java.util.common.guava.Sequence) MergeSequence(io.druid.java.util.common.guava.MergeSequence) ImmutableMap(com.google.common.collect.ImmutableMap) TimelineObjectHolder(io.druid.timeline.TimelineObjectHolder) Hasher(com.google.common.hash.Hasher) ConcurrentLinkedQueue(java.util.concurrent.ConcurrentLinkedQueue) Map(java.util.Map) ImmutableMap(com.google.common.collect.ImmutableMap) Interval(org.joda.time.Interval) Cache(io.druid.client.cache.Cache) MultipleSpecificSegmentSpec(io.druid.query.spec.MultipleSpecificSegmentSpec) Function(com.google.common.base.Function) MergeSequence(io.druid.java.util.common.guava.MergeSequence) SegmentDescriptor(io.druid.query.SegmentDescriptor) Iterator(java.util.Iterator) PartitionChunk(io.druid.timeline.partition.PartitionChunk) TypeReference(com.fasterxml.jackson.core.type.TypeReference) Pair(io.druid.java.util.common.Pair) IOException(java.io.IOException) QueryRunner(io.druid.query.QueryRunner) ListenableFuture(com.google.common.util.concurrent.ListenableFuture) LazySequence(io.druid.java.util.common.guava.LazySequence)

Aggregations

Query (io.druid.query.Query)48 QueryRunner (io.druid.query.QueryRunner)23 Test (org.junit.Test)22 Interval (org.joda.time.Interval)18 Sequence (io.druid.java.util.common.guava.Sequence)14 Map (java.util.Map)14 FinalizeResultsQueryRunner (io.druid.query.FinalizeResultsQueryRunner)11 SegmentDescriptor (io.druid.query.SegmentDescriptor)11 IOException (java.io.IOException)10 Row (io.druid.data.input.Row)9 DefaultObjectMapper (io.druid.jackson.DefaultObjectMapper)9 Result (io.druid.query.Result)9 ObjectMapper (com.fasterxml.jackson.databind.ObjectMapper)8 Function (com.google.common.base.Function)8 DefaultDimensionSpec (io.druid.query.dimension.DefaultDimensionSpec)8 TimeseriesQuery (io.druid.query.timeseries.TimeseriesQuery)8 MergeSequence (io.druid.java.util.common.guava.MergeSequence)7 LongSumAggregatorFactory (io.druid.query.aggregation.LongSumAggregatorFactory)7 MultipleIntervalSegmentSpec (io.druid.query.spec.MultipleIntervalSegmentSpec)7 ImmutableMap (com.google.common.collect.ImmutableMap)6