Examples with CachingClusteredClient org.apache.druid.client.CachingClusteredClient used on opensource projects

Example 1 with CachingClusteredClient

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

the class QueryRunnerBasedOnClusteredClientTestBase method setupTestBase.

@Before
public void setupTestBase() {
    segmentGenerator = new SegmentGenerator();
    httpClient = new TestHttpClient(objectMapper);
    simpleServerView = new SimpleServerView(toolChestWarehouse, objectMapper, httpClient);
    cachingClusteredClient = new CachingClusteredClient(toolChestWarehouse, simpleServerView, MapCache.create(0), objectMapper, new ForegroundCachePopulator(objectMapper, new CachePopulatorStats(), 0), new CacheConfig(), new DruidHttpClientConfig(), QueryStackTests.getProcessingConfig(USE_PARALLEL_MERGE_POOL_CONFIGURED, DruidProcessingConfig.DEFAULT_NUM_MERGE_BUFFERS), ForkJoinPool.commonPool(), QueryStackTests.DEFAULT_NOOP_SCHEDULER, new MapJoinableFactory(ImmutableSet.of(), ImmutableMap.of()), new NoopServiceEmitter());
    servers = new ArrayList<>();
}

Example 2 with CachingClusteredClient

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

the class MovingAverageQueryTest method testQuery.

/**
 * Validate that the specified query behaves correctly.
 */
@SuppressWarnings({ "unchecked", "rawtypes" })
@Test
public void testQuery() throws IOException {
    Query<?> query = jsonMapper.readValue(getQueryString(), Query.class);
    Assert.assertThat(query, IsInstanceOf.instanceOf(getExpectedQueryType()));
    List<MapBasedRow> expectedResults = jsonMapper.readValue(getExpectedResultString(), getExpectedResultType());
    Assert.assertNotNull(expectedResults);
    Assert.assertThat(expectedResults, IsInstanceOf.instanceOf(List.class));
    CachingClusteredClient baseClient = new CachingClusteredClient(warehouse, new TimelineServerView() {

        @Override
        public Optional<? extends TimelineLookup<String, ServerSelector>> getTimeline(DataSourceAnalysis analysis) {
            return Optional.empty();
        }

        @Override
        public List<ImmutableDruidServer> getDruidServers() {
            return null;
        }

        @Override
        public <T> QueryRunner<T> getQueryRunner(DruidServer server) {
            return null;
        }

        @Override
        public void registerTimelineCallback(Executor exec, TimelineCallback callback) {
        }

        @Override
        public void registerSegmentCallback(Executor exec, SegmentCallback callback) {
        }

        @Override
        public void registerServerRemovedCallback(Executor exec, ServerRemovedCallback callback) {
        }
    }, MapCache.create(100000), jsonMapper, new ForegroundCachePopulator(jsonMapper, new CachePopulatorStats(), -1), new CacheConfig(), new DruidHttpClientConfig() {

        @Override
        public long getMaxQueuedBytes() {
            return 0L;
        }
    }, new DruidProcessingConfig() {

        @Override
        public String getFormatString() {
            return null;
        }
    }, ForkJoinPool.commonPool(), QueryStackTests.DEFAULT_NOOP_SCHEDULER, new MapJoinableFactory(ImmutableSet.of(), ImmutableMap.of()), new NoopServiceEmitter());
    ClientQuerySegmentWalker walker = new ClientQuerySegmentWalker(new ServiceEmitter("", "", null) {

        @Override
        public void emit(Event event) {
        }
    }, baseClient, null, /* local client; unused in this test, so pass in null */
    warehouse, new MapJoinableFactory(ImmutableSet.of(), ImmutableMap.of()), retryConfig, jsonMapper, serverConfig, null, new CacheConfig());
    defineMocks();
    QueryPlus queryPlus = QueryPlus.wrap(query);
    final Sequence<?> res = query.getRunner(walker).run(queryPlus);
    List actualResults = new ArrayList();
    actualResults = (List<MapBasedRow>) res.accumulate(actualResults, Accumulators.list());
    expectedResults = consistentTypeCasting(expectedResults);
    actualResults = consistentTypeCasting(actualResults);
    Assert.assertEquals(expectedResults, actualResults);
}

Example 3 with CachingClusteredClient

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

the class CachingClusteredClientBenchmark method setup.

@Setup(Level.Trial)
public void setup() {
    final String schemaName = "basic";
    parallelCombine = parallelism > 0;
    GeneratorSchemaInfo schemaInfo = GeneratorBasicSchemas.SCHEMA_MAP.get(schemaName);
    Map<DataSegment, QueryableIndex> queryableIndexes = Maps.newHashMapWithExpectedSize(numServers);
    for (int i = 0; i < numServers; i++) {
        final DataSegment dataSegment = DataSegment.builder().dataSource(DATA_SOURCE).interval(schemaInfo.getDataInterval()).version("1").shardSpec(new LinearShardSpec(i)).size(0).build();
        final SegmentGenerator segmentGenerator = closer.register(new SegmentGenerator());
        LOG.info("Starting benchmark setup using cacheDir[%s], rows[%,d].", segmentGenerator.getCacheDir(), rowsPerSegment);
        final QueryableIndex index = segmentGenerator.generate(dataSegment, schemaInfo, Granularities.NONE, rowsPerSegment);
        queryableIndexes.put(dataSegment, index);
    }
    final DruidProcessingConfig processingConfig = new DruidProcessingConfig() {

        @Override
        public String getFormatString() {
            return null;
        }

        @Override
        public int intermediateComputeSizeBytes() {
            return PROCESSING_BUFFER_SIZE;
        }

        @Override
        public int getNumMergeBuffers() {
            return 1;
        }

        @Override
        public int getNumThreads() {
            return numProcessingThreads;
        }

        @Override
        public boolean useParallelMergePool() {
            return true;
        }
    };
    conglomerate = new DefaultQueryRunnerFactoryConglomerate(ImmutableMap.<Class<? extends Query>, QueryRunnerFactory>builder().put(TimeseriesQuery.class, new TimeseriesQueryRunnerFactory(new TimeseriesQueryQueryToolChest(), new TimeseriesQueryEngine(), QueryRunnerTestHelper.NOOP_QUERYWATCHER)).put(TopNQuery.class, new TopNQueryRunnerFactory(new StupidPool<>("TopNQueryRunnerFactory-bufferPool", () -> ByteBuffer.allocate(PROCESSING_BUFFER_SIZE)), new TopNQueryQueryToolChest(new TopNQueryConfig()), QueryRunnerTestHelper.NOOP_QUERYWATCHER)).put(GroupByQuery.class, makeGroupByQueryRunnerFactory(GroupByQueryRunnerTest.DEFAULT_MAPPER, new GroupByQueryConfig() {

        @Override
        public String getDefaultStrategy() {
            return GroupByStrategySelector.STRATEGY_V2;
        }
    }, processingConfig)).build());
    toolChestWarehouse = new QueryToolChestWarehouse() {

        @Override
        public <T, QueryType extends Query<T>> QueryToolChest<T, QueryType> getToolChest(final QueryType query) {
            return conglomerate.findFactory(query).getToolchest();
        }
    };
    SimpleServerView serverView = new SimpleServerView();
    int serverSuffx = 1;
    for (Entry<DataSegment, QueryableIndex> entry : queryableIndexes.entrySet()) {
        serverView.addServer(createServer(serverSuffx++), entry.getKey(), entry.getValue());
    }
    processingPool = Execs.multiThreaded(processingConfig.getNumThreads(), "caching-clustered-client-benchmark");
    forkJoinPool = new ForkJoinPool((int) Math.ceil(Runtime.getRuntime().availableProcessors() * 0.75), ForkJoinPool.defaultForkJoinWorkerThreadFactory, null, true);
    cachingClusteredClient = new CachingClusteredClient(toolChestWarehouse, serverView, MapCache.create(0), JSON_MAPPER, new ForegroundCachePopulator(JSON_MAPPER, new CachePopulatorStats(), 0), new CacheConfig(), new DruidHttpClientConfig(), processingConfig, forkJoinPool, QueryStackTests.DEFAULT_NOOP_SCHEDULER, new MapJoinableFactory(ImmutableSet.of(), ImmutableMap.of()), new NoopServiceEmitter());
}