Examples with GroupByQueryRunnerFactory org.apache.druid.query.groupby.GroupByQueryRunnerFactory used on opensource projects

Example 6 with GroupByQueryRunnerFactory

use of org.apache.druid.query.groupby.GroupByQueryRunnerFactory in project druid by druid-io.

the class GroupByTypeInterfaceBenchmark method setup.

@Setup(Level.Trial)
public void setup() throws IOException {
    log.info("SETUP CALLED AT %d", System.currentTimeMillis());
    ComplexMetrics.registerSerde("hyperUnique", new HyperUniquesSerde());
    setupQueries();
    String schemaName = "basic";
    schemaInfo = GeneratorBasicSchemas.SCHEMA_MAP.get(schemaName);
    stringQuery = SCHEMA_QUERY_MAP.get(schemaName).get("string");
    longFloatQuery = SCHEMA_QUERY_MAP.get(schemaName).get("longFloat");
    longQuery = SCHEMA_QUERY_MAP.get(schemaName).get("long");
    floatQuery = SCHEMA_QUERY_MAP.get(schemaName).get("float");
    final DataGenerator dataGenerator = new DataGenerator(schemaInfo.getColumnSchemas(), RNG_SEED + 1, schemaInfo.getDataInterval(), rowsPerSegment);
    tmpDir = FileUtils.createTempDir();
    log.info("Using temp dir: %s", tmpDir.getAbsolutePath());
    // queryableIndexes   -> numSegments worth of on-disk segments
    // anIncrementalIndex -> the last incremental index
    anIncrementalIndex = null;
    queryableIndexes = new ArrayList<>(numSegments);
    for (int i = 0; i < numSegments; i++) {
        log.info("Generating rows for segment %d/%d", i + 1, numSegments);
        final IncrementalIndex index = makeIncIndex();
        for (int j = 0; j < rowsPerSegment; j++) {
            final InputRow row = dataGenerator.nextRow();
            if (j % 20000 == 0) {
                log.info("%,d/%,d rows generated.", i * rowsPerSegment + j, rowsPerSegment * numSegments);
            }
            index.add(row);
        }
        log.info("%,d/%,d rows generated, persisting segment %d/%d.", (i + 1) * rowsPerSegment, rowsPerSegment * numSegments, i + 1, numSegments);
        final File file = INDEX_MERGER_V9.persist(index, new File(tmpDir, String.valueOf(i)), new IndexSpec(), null);
        queryableIndexes.add(INDEX_IO.loadIndex(file));
        if (i == numSegments - 1) {
            anIncrementalIndex = index;
        } else {
            index.close();
        }
    }
    NonBlockingPool<ByteBuffer> bufferPool = new StupidPool<>("GroupByBenchmark-computeBufferPool", new OffheapBufferGenerator("compute", 250_000_000), 0, Integer.MAX_VALUE);
    // limit of 2 is required since we simulate both historical merge and broker merge in the same process
    BlockingPool<ByteBuffer> mergePool = new DefaultBlockingPool<>(new OffheapBufferGenerator("merge", 250_000_000), 2);
    final GroupByQueryConfig config = new GroupByQueryConfig() {

        @Override
        public String getDefaultStrategy() {
            return defaultStrategy;
        }

        @Override
        public int getBufferGrouperInitialBuckets() {
            return initialBuckets;
        }

        @Override
        public long getMaxOnDiskStorage() {
            return 1_000_000_000L;
        }
    };
    config.setSingleThreaded(false);
    config.setMaxIntermediateRows(Integer.MAX_VALUE);
    config.setMaxResults(Integer.MAX_VALUE);
    DruidProcessingConfig druidProcessingConfig = new DruidProcessingConfig() {

        @Override
        public int getNumThreads() {
            // Used by "v2" strategy for concurrencyHint
            return numProcessingThreads;
        }

        @Override
        public String getFormatString() {
            return null;
        }
    };
    final Supplier<GroupByQueryConfig> configSupplier = Suppliers.ofInstance(config);
    final GroupByStrategySelector strategySelector = new GroupByStrategySelector(configSupplier, new GroupByStrategyV1(configSupplier, new GroupByQueryEngine(configSupplier, bufferPool), QueryBenchmarkUtil.NOOP_QUERYWATCHER), new GroupByStrategyV2(druidProcessingConfig, configSupplier, bufferPool, mergePool, new ObjectMapper(new SmileFactory()), QueryBenchmarkUtil.NOOP_QUERYWATCHER));
    factory = new GroupByQueryRunnerFactory(strategySelector, new GroupByQueryQueryToolChest(strategySelector));
}

Example 7 with GroupByQueryRunnerFactory

use of org.apache.druid.query.groupby.GroupByQueryRunnerFactory in project druid by druid-io.

the class CachingClusteredClientBenchmark method makeGroupByQueryRunnerFactory.

private static GroupByQueryRunnerFactory makeGroupByQueryRunnerFactory(final ObjectMapper mapper, final GroupByQueryConfig config, final DruidProcessingConfig processingConfig) {
    final Supplier<GroupByQueryConfig> configSupplier = Suppliers.ofInstance(config);
    final Supplier<ByteBuffer> bufferSupplier = () -> ByteBuffer.allocateDirect(processingConfig.intermediateComputeSizeBytes());
    final NonBlockingPool<ByteBuffer> bufferPool = new StupidPool<>("GroupByQueryEngine-bufferPool", bufferSupplier);
    final BlockingPool<ByteBuffer> mergeBufferPool = new DefaultBlockingPool<>(bufferSupplier, processingConfig.getNumMergeBuffers());
    final GroupByStrategySelector strategySelector = new GroupByStrategySelector(configSupplier, new GroupByStrategyV1(configSupplier, new GroupByQueryEngine(configSupplier, bufferPool), QueryRunnerTestHelper.NOOP_QUERYWATCHER), new GroupByStrategyV2(processingConfig, configSupplier, bufferPool, mergeBufferPool, mapper, QueryRunnerTestHelper.NOOP_QUERYWATCHER));
    final GroupByQueryQueryToolChest toolChest = new GroupByQueryQueryToolChest(strategySelector);
    return new GroupByQueryRunnerFactory(strategySelector, toolChest);
}

Example 8 with GroupByQueryRunnerFactory

use of org.apache.druid.query.groupby.GroupByQueryRunnerFactory in project druid by druid-io.

the class GroupByBenchmark method setup.

/**
 * Setup everything common for benchmarking both the incremental-index and the queriable-index.
 */
@Setup(Level.Trial)
public void setup() {
    log.info("SETUP CALLED AT " + +System.currentTimeMillis());
    ComplexMetrics.registerSerde("hyperUnique", new HyperUniquesSerde());
    setupQueries();
    String[] schemaQuery = schemaAndQuery.split("\\.");
    String schemaName = schemaQuery[0];
    String queryName = schemaQuery[1];
    schemaInfo = GeneratorBasicSchemas.SCHEMA_MAP.get(schemaName);
    query = SCHEMA_QUERY_MAP.get(schemaName).get(queryName);
    generator = new DataGenerator(schemaInfo.getColumnSchemas(), RNG_SEED, schemaInfo.getDataInterval(), rowsPerSegment);
    NonBlockingPool<ByteBuffer> bufferPool = new StupidPool<>("GroupByBenchmark-computeBufferPool", new OffheapBufferGenerator("compute", 250_000_000), 0, Integer.MAX_VALUE);
    // limit of 2 is required since we simulate both historical merge and broker merge in the same process
    BlockingPool<ByteBuffer> mergePool = new DefaultBlockingPool<>(new OffheapBufferGenerator("merge", 250_000_000), 2);
    final GroupByQueryConfig config = new GroupByQueryConfig() {

        @Override
        public String getDefaultStrategy() {
            return defaultStrategy;
        }

        @Override
        public int getBufferGrouperInitialBuckets() {
            return initialBuckets;
        }

        @Override
        public long getMaxOnDiskStorage() {
            return 1_000_000_000L;
        }
    };
    config.setSingleThreaded(false);
    config.setMaxIntermediateRows(Integer.MAX_VALUE);
    config.setMaxResults(Integer.MAX_VALUE);
    DruidProcessingConfig druidProcessingConfig = new DruidProcessingConfig() {

        @Override
        public int getNumThreads() {
            // Used by "v2" strategy for concurrencyHint
            return numProcessingThreads;
        }

        @Override
        public String getFormatString() {
            return null;
        }
    };
    final Supplier<GroupByQueryConfig> configSupplier = Suppliers.ofInstance(config);
    final GroupByStrategySelector strategySelector = new GroupByStrategySelector(configSupplier, new GroupByStrategyV1(configSupplier, new GroupByQueryEngine(configSupplier, bufferPool), QueryBenchmarkUtil.NOOP_QUERYWATCHER), new GroupByStrategyV2(druidProcessingConfig, configSupplier, bufferPool, mergePool, new ObjectMapper(new SmileFactory()), QueryBenchmarkUtil.NOOP_QUERYWATCHER));
    factory = new GroupByQueryRunnerFactory(strategySelector, new GroupByQueryQueryToolChest(strategySelector));
}

Example 9 with GroupByQueryRunnerFactory

use of org.apache.druid.query.groupby.GroupByQueryRunnerFactory in project druid by druid-io.

the class DistinctCountGroupByQueryTest method setup.

@Before
public void setup() {
    final GroupByQueryConfig config = new GroupByQueryConfig();
    config.setMaxIntermediateRows(10000);
    final Pair<GroupByQueryRunnerFactory, Closer> factoryCloserPair = GroupByQueryRunnerTest.makeQueryRunnerFactory(config);
    factory = factoryCloserPair.lhs;
    resourceCloser = factoryCloserPair.rhs;
}

Example 10 with GroupByQueryRunnerFactory

use of org.apache.druid.query.groupby.GroupByQueryRunnerFactory in project druid by druid-io.

the class ApproximateHistogramGroupByQueryTest method constructorFeeder.

@Parameterized.Parameters(name = "{0}")
public static Iterable<Object[]> constructorFeeder() {
    final GroupByQueryConfig v1Config = new GroupByQueryConfig() {

        @Override
        public String getDefaultStrategy() {
            return GroupByStrategySelector.STRATEGY_V1;
        }

        @Override
        public String toString() {
            return "v1";
        }
    };
    final GroupByQueryConfig v1SingleThreadedConfig = new GroupByQueryConfig() {

        @Override
        public boolean isSingleThreaded() {
            return true;
        }

        @Override
        public String getDefaultStrategy() {
            return GroupByStrategySelector.STRATEGY_V1;
        }

        @Override
        public String toString() {
            return "v1SingleThreaded";
        }
    };
    final GroupByQueryConfig v2Config = new GroupByQueryConfig() {

        @Override
        public String getDefaultStrategy() {
            return GroupByStrategySelector.STRATEGY_V2;
        }

        @Override
        public String toString() {
            return "v2";
        }
    };
    v1Config.setMaxIntermediateRows(10000);
    v1SingleThreadedConfig.setMaxIntermediateRows(10000);
    final List<Object[]> constructors = new ArrayList<>();
    final List<GroupByQueryConfig> configs = ImmutableList.of(v1Config, v1SingleThreadedConfig, v2Config);
    for (GroupByQueryConfig config : configs) {
        final Pair<GroupByQueryRunnerFactory, Closer> factoryAndCloser = GroupByQueryRunnerTest.makeQueryRunnerFactory(config);
        final GroupByQueryRunnerFactory factory = factoryAndCloser.lhs;
        RESOURCE_CLOSER.register(factoryAndCloser.rhs);
        for (QueryRunner<ResultRow> runner : QueryRunnerTestHelper.makeQueryRunners(factory)) {
            final String testName = StringUtils.format("config=%s, runner=%s", config.toString(), runner.toString());
            constructors.add(new Object[] { testName, factory, runner });
        }
    }
    return constructors;
}