Examples with HighestPriorityTierSelectorStrategy org.apache.druid.client.selector.HighestPriorityTierSelectorStrategy used on opensource projects

Example 1 with HighestPriorityTierSelectorStrategy

use of org.apache.druid.client.selector.HighestPriorityTierSelectorStrategy in project druid by druid-io.

the class CachingClusteredClientTest method testEtagforDifferentQueryInterval.

@Test
public void testEtagforDifferentQueryInterval() {
    final Interval interval = Intervals.of("2016-01-01/2016-01-02");
    final Interval queryInterval = Intervals.of("2016-01-01T14:00:00/2016-01-02T14:00:00");
    final Interval queryInterval2 = Intervals.of("2016-01-01T18:00:00/2016-01-02T18:00:00");
    final DataSegment dataSegment = new DataSegment("dataSource", interval, "ver", ImmutableMap.of("type", "hdfs", "path", "/tmp"), ImmutableList.of("product"), ImmutableList.of("visited_sum"), NoneShardSpec.instance(), 9, 12334);
    final ServerSelector selector = new ServerSelector(dataSegment, new HighestPriorityTierSelectorStrategy(new RandomServerSelectorStrategy()));
    selector.addServerAndUpdateSegment(new QueryableDruidServer(servers[0], null), dataSegment);
    timeline.add(interval, "ver", new SingleElementPartitionChunk<>(selector));
    final TimeBoundaryQuery query = Druids.newTimeBoundaryQueryBuilder().dataSource(DATA_SOURCE).intervals(new MultipleIntervalSegmentSpec(ImmutableList.of(queryInterval))).context(ImmutableMap.of("If-None-Match", "aVJV29CJY93rszVW/QBy0arWZo0=")).randomQueryId().build();
    final TimeBoundaryQuery query2 = Druids.newTimeBoundaryQueryBuilder().dataSource(DATA_SOURCE).intervals(new MultipleIntervalSegmentSpec(ImmutableList.of(queryInterval2))).context(ImmutableMap.of("If-None-Match", "aVJV29CJY93rszVW/QBy0arWZo0=")).randomQueryId().build();
    final ResponseContext responseContext = initializeResponseContext();
    getDefaultQueryRunner().run(QueryPlus.wrap(query), responseContext);
    final String etag1 = responseContext.getEntityTag();
    getDefaultQueryRunner().run(QueryPlus.wrap(query2), responseContext);
    final String etag2 = responseContext.getEntityTag();
    Assert.assertNotEquals(etag1, etag2);
}

Example 2 with HighestPriorityTierSelectorStrategy

use of org.apache.druid.client.selector.HighestPriorityTierSelectorStrategy in project druid by druid-io.

the class CachingClusteredClientTest method testCachingOverBulkLimitEnforcesLimit.

@Test
@SuppressWarnings("unchecked")
public void testCachingOverBulkLimitEnforcesLimit() {
    final int limit = 10;
    final Interval interval = Intervals.of("2011-01-01/2011-01-02");
    final TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource(DATA_SOURCE).intervals(new MultipleIntervalSegmentSpec(ImmutableList.of(interval))).filters(DIM_FILTER).granularity(GRANULARITY).aggregators(AGGS).postAggregators(POST_AGGS).context(CONTEXT).randomQueryId().build();
    final ResponseContext context = initializeResponseContext();
    final Cache cache = EasyMock.createStrictMock(Cache.class);
    final Capture<Iterable<Cache.NamedKey>> cacheKeyCapture = EasyMock.newCapture();
    EasyMock.expect(cache.getBulk(EasyMock.capture(cacheKeyCapture))).andReturn(ImmutableMap.of()).once();
    EasyMock.replay(cache);
    client = makeClient(new ForegroundCachePopulator(JSON_MAPPER, new CachePopulatorStats(), -1), cache, limit);
    final DruidServer lastServer = servers[random.nextInt(servers.length)];
    final DataSegment dataSegment = EasyMock.createNiceMock(DataSegment.class);
    EasyMock.expect(dataSegment.getId()).andReturn(SegmentId.dummy(DATA_SOURCE)).anyTimes();
    EasyMock.replay(dataSegment);
    final ServerSelector selector = new ServerSelector(dataSegment, new HighestPriorityTierSelectorStrategy(new RandomServerSelectorStrategy()));
    selector.addServerAndUpdateSegment(new QueryableDruidServer(lastServer, null), dataSegment);
    timeline.add(interval, "v", new SingleElementPartitionChunk<>(selector));
    getDefaultQueryRunner().run(QueryPlus.wrap(query), context);
    Assert.assertTrue("Capture cache keys", cacheKeyCapture.hasCaptured());
    Assert.assertTrue("Cache key below limit", ImmutableList.copyOf(cacheKeyCapture.getValue()).size() <= limit);
    EasyMock.verify(cache);
    EasyMock.reset(cache);
    cacheKeyCapture.reset();
    EasyMock.expect(cache.getBulk(EasyMock.capture(cacheKeyCapture))).andReturn(ImmutableMap.of()).once();
    EasyMock.replay(cache);
    client = makeClient(new ForegroundCachePopulator(JSON_MAPPER, new CachePopulatorStats(), -1), cache, 0);
    getDefaultQueryRunner().run(QueryPlus.wrap(query), context);
    EasyMock.verify(cache);
    EasyMock.verify(dataSegment);
    Assert.assertTrue("Capture cache keys", cacheKeyCapture.hasCaptured());
    Assert.assertTrue("Cache Keys empty", ImmutableList.copyOf(cacheKeyCapture.getValue()).isEmpty());
}

Example 3 with HighestPriorityTierSelectorStrategy

use of org.apache.druid.client.selector.HighestPriorityTierSelectorStrategy in project druid by druid-io.

the class CachingClusteredClientPerfTest method testGetQueryRunnerForSegments_singleIntervalLargeSegments.

@Test(timeout = 10_000)
public void testGetQueryRunnerForSegments_singleIntervalLargeSegments() {
    final int segmentCount = 30_000;
    final Interval interval = Intervals.of("2021-02-13/2021-02-14");
    final List<SegmentDescriptor> segmentDescriptors = new ArrayList<>(segmentCount);
    final List<DataSegment> dataSegments = new ArrayList<>(segmentCount);
    final VersionedIntervalTimeline<String, ServerSelector> timeline = new VersionedIntervalTimeline<>(Ordering.natural());
    final DruidServer server = new DruidServer("server", "localhost:9000", null, Long.MAX_VALUE, ServerType.HISTORICAL, DruidServer.DEFAULT_TIER, DruidServer.DEFAULT_PRIORITY);
    for (int ii = 0; ii < segmentCount; ii++) {
        segmentDescriptors.add(new SegmentDescriptor(interval, "1", ii));
        DataSegment segment = makeDataSegment("test", interval, "1", ii);
        dataSegments.add(segment);
    }
    timeline.addAll(Iterators.transform(dataSegments.iterator(), segment -> {
        ServerSelector ss = new ServerSelector(segment, new HighestPriorityTierSelectorStrategy(new RandomServerSelectorStrategy()));
        ss.addServerAndUpdateSegment(new QueryableDruidServer(server, new MockQueryRunner()), segment);
        return new VersionedIntervalTimeline.PartitionChunkEntry<>(segment.getInterval(), segment.getVersion(), segment.getShardSpec().createChunk(ss));
    }));
    TimelineServerView serverView = Mockito.mock(TimelineServerView.class);
    QueryScheduler queryScheduler = Mockito.mock(QueryScheduler.class);
    // mock scheduler to return same sequence as argument
    Mockito.when(queryScheduler.run(any(), any())).thenAnswer(i -> i.getArgument(1));
    Mockito.when(queryScheduler.prioritizeAndLaneQuery(any(), any())).thenAnswer(i -> ((QueryPlus) i.getArgument(0)).getQuery());
    Mockito.doReturn(Optional.of(timeline)).when(serverView).getTimeline(any());
    Mockito.doReturn(new MockQueryRunner()).when(serverView).getQueryRunner(any());
    CachingClusteredClient cachingClusteredClient = new CachingClusteredClient(new MockQueryToolChestWareHouse(), serverView, MapCache.create(1024), TestHelper.makeJsonMapper(), Mockito.mock(CachePopulator.class), new CacheConfig(), Mockito.mock(DruidHttpClientConfig.class), Mockito.mock(DruidProcessingConfig.class), ForkJoinPool.commonPool(), queryScheduler, NoopJoinableFactory.INSTANCE, new NoopServiceEmitter());
    Query<SegmentDescriptor> fakeQuery = makeFakeQuery(interval);
    QueryRunner<SegmentDescriptor> queryRunner = cachingClusteredClient.getQueryRunnerForSegments(fakeQuery, segmentDescriptors);
    Sequence<SegmentDescriptor> sequence = queryRunner.run(QueryPlus.wrap(fakeQuery));
    Assert.assertEquals(segmentDescriptors, sequence.toList());
}

Example 4 with HighestPriorityTierSelectorStrategy

use of org.apache.druid.client.selector.HighestPriorityTierSelectorStrategy in project druid by druid-io.

the class CachingClusteredClientTest method testIfNoneMatch.

@Test
public void testIfNoneMatch() {
    Interval interval = Intervals.of("2016/2017");
    final DataSegment dataSegment = new DataSegment("dataSource", interval, "ver", ImmutableMap.of("type", "hdfs", "path", "/tmp"), ImmutableList.of("product"), ImmutableList.of("visited_sum"), NoneShardSpec.instance(), 9, 12334);
    final ServerSelector selector = new ServerSelector(dataSegment, new HighestPriorityTierSelectorStrategy(new RandomServerSelectorStrategy()));
    selector.addServerAndUpdateSegment(new QueryableDruidServer(servers[0], null), dataSegment);
    timeline.add(interval, "ver", new SingleElementPartitionChunk<>(selector));
    TimeBoundaryQuery query = Druids.newTimeBoundaryQueryBuilder().dataSource(DATA_SOURCE).intervals(new MultipleIntervalSegmentSpec(ImmutableList.of(interval))).context(ImmutableMap.of("If-None-Match", "aVJV29CJY93rszVW/QBy0arWZo0=")).randomQueryId().build();
    final ResponseContext responseContext = initializeResponseContext();
    getDefaultQueryRunner().run(QueryPlus.wrap(query), responseContext);
    Assert.assertEquals("MDs2yIUvYLVzaG6zmwTH1plqaYE=", responseContext.getEntityTag());
}

Example 5 with HighestPriorityTierSelectorStrategy

use of org.apache.druid.client.selector.HighestPriorityTierSelectorStrategy in project druid by druid-io.

the class CachingClusteredClientTest method populateTimeline.

private List<Map<DruidServer, ServerExpectations>> populateTimeline(List<Interval> queryIntervals, List<List<Iterable<Result<Object>>>> expectedResults, int numQueryIntervals, List<Object> mocks) {
    timeline = new VersionedIntervalTimeline<>(Ordering.natural());
    final List<Map<DruidServer, ServerExpectations>> serverExpectationList = new ArrayList<>();
    for (int k = 0; k < numQueryIntervals + 1; ++k) {
        final int numChunks = expectedResults.get(k).size();
        final TreeMap<DruidServer, ServerExpectations> serverExpectations = new TreeMap<>();
        serverExpectationList.add(serverExpectations);
        for (int j = 0; j < numChunks; ++j) {
            DruidServer lastServer = servers[random.nextInt(servers.length)];
            serverExpectations.computeIfAbsent(lastServer, server -> new ServerExpectations(server, makeMock(mocks, QueryRunner.class)));
            final ShardSpec shardSpec;
            if (numChunks == 1) {
                shardSpec = new SingleDimensionShardSpec("dimAll", null, null, 0, 1);
            } else {
                String start = null;
                String end = null;
                if (j > 0) {
                    start = String.valueOf(j);
                }
                if (j + 1 < numChunks) {
                    end = String.valueOf(j + 1);
                }
                shardSpec = new SingleDimensionShardSpec("dim" + k, start, end, j, numChunks);
            }
            DataSegment mockSegment = makeMock(mocks, DataSegment.class);
            ServerExpectation<Object> expectation = new ServerExpectation<>(// interval/chunk
            SegmentId.dummy(StringUtils.format("%s_%s", k, j)), queryIntervals.get(k), mockSegment, shardSpec, expectedResults.get(k).get(j));
            serverExpectations.get(lastServer).addExpectation(expectation);
            EasyMock.expect(mockSegment.getSize()).andReturn(0L).anyTimes();
            EasyMock.replay(mockSegment);
            ServerSelector selector = new ServerSelector(expectation.getSegment(), new HighestPriorityTierSelectorStrategy(new RandomServerSelectorStrategy()));
            selector.addServerAndUpdateSegment(new QueryableDruidServer(lastServer, null), selector.getSegment());
            EasyMock.reset(mockSegment);
            EasyMock.expect(mockSegment.getShardSpec()).andReturn(shardSpec).anyTimes();
            timeline.add(queryIntervals.get(k), String.valueOf(k), shardSpec.createChunk(selector));
        }
    }
    return serverExpectationList;
}