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Example 11 with QueryableIndex

use of io.druid.segment.QueryableIndex in project druid by druid-io.

the class SqlBenchmark method setup.

@Setup(Level.Trial)
public void setup() throws Exception {
    tmpDir = Files.createTempDir();
    log.info("Starting benchmark setup using tmpDir[%s], rows[%,d].", tmpDir, rowsPerSegment);
    if (ComplexMetrics.getSerdeForType("hyperUnique") == null) {
        ComplexMetrics.registerSerde("hyperUnique", new HyperUniquesSerde(HyperLogLogHash.getDefault()));
    }
    final BenchmarkSchemaInfo schemaInfo = BenchmarkSchemas.SCHEMA_MAP.get("basic");
    final BenchmarkDataGenerator dataGenerator = new BenchmarkDataGenerator(schemaInfo.getColumnSchemas(), RNG_SEED + 1, schemaInfo.getDataInterval(), rowsPerSegment);
    final List<InputRow> rows = Lists.newArrayList();
    for (int i = 0; i < rowsPerSegment; i++) {
        final InputRow row = dataGenerator.nextRow();
        if (i % 20000 == 0) {
            log.info("%,d/%,d rows generated.", i, rowsPerSegment);
        }
        rows.add(row);
    }
    log.info("%,d/%,d rows generated.", rows.size(), rowsPerSegment);
    final PlannerConfig plannerConfig = new PlannerConfig();
    final QueryRunnerFactoryConglomerate conglomerate = CalciteTests.queryRunnerFactoryConglomerate();
    final QueryableIndex index = IndexBuilder.create().tmpDir(new File(tmpDir, "1")).indexMerger(TestHelper.getTestIndexMergerV9()).rows(rows).buildMMappedIndex();
    this.walker = new SpecificSegmentsQuerySegmentWalker(conglomerate).add(DataSegment.builder().dataSource("foo").interval(index.getDataInterval()).version("1").shardSpec(new LinearShardSpec(0)).build(), index);
    final Map<String, Table> tableMap = ImmutableMap.<String, Table>of("foo", new DruidTable(new TableDataSource("foo"), RowSignature.builder().add("__time", ValueType.LONG).add("dimSequential", ValueType.STRING).add("dimZipf", ValueType.STRING).add("dimUniform", ValueType.STRING).build()));
    final Schema druidSchema = new AbstractSchema() {

        @Override
        protected Map<String, Table> getTableMap() {
            return tableMap;
        }
    };
    plannerFactory = new PlannerFactory(Calcites.createRootSchema(druidSchema), walker, CalciteTests.createOperatorTable(), plannerConfig);
    groupByQuery = GroupByQuery.builder().setDataSource("foo").setInterval(new Interval(JodaUtils.MIN_INSTANT, JodaUtils.MAX_INSTANT)).setDimensions(Arrays.<DimensionSpec>asList(new DefaultDimensionSpec("dimZipf", "d0"), new DefaultDimensionSpec("dimSequential", "d1"))).setAggregatorSpecs(Arrays.<AggregatorFactory>asList(new CountAggregatorFactory("c"))).setGranularity(Granularities.ALL).build();
    sqlQuery = "SELECT\n" + "  dimZipf AS d0," + "  dimSequential AS d1,\n" + "  COUNT(*) AS c\n" + "FROM druid.foo\n" + "GROUP BY dimZipf, dimSequential";
}
Also used : DruidTable(io.druid.sql.calcite.table.DruidTable) Table(org.apache.calcite.schema.Table) LinearShardSpec(io.druid.timeline.partition.LinearShardSpec) Schema(org.apache.calcite.schema.Schema) AbstractSchema(org.apache.calcite.schema.impl.AbstractSchema) BenchmarkDataGenerator(io.druid.benchmark.datagen.BenchmarkDataGenerator) HyperUniquesSerde(io.druid.query.aggregation.hyperloglog.HyperUniquesSerde) DruidTable(io.druid.sql.calcite.table.DruidTable) CountAggregatorFactory(io.druid.query.aggregation.CountAggregatorFactory) AggregatorFactory(io.druid.query.aggregation.AggregatorFactory) DefaultDimensionSpec(io.druid.query.dimension.DefaultDimensionSpec) QueryRunnerFactoryConglomerate(io.druid.query.QueryRunnerFactoryConglomerate) SpecificSegmentsQuerySegmentWalker(io.druid.sql.calcite.util.SpecificSegmentsQuerySegmentWalker) TableDataSource(io.druid.query.TableDataSource) CountAggregatorFactory(io.druid.query.aggregation.CountAggregatorFactory) AbstractSchema(org.apache.calcite.schema.impl.AbstractSchema) QueryableIndex(io.druid.segment.QueryableIndex) BenchmarkSchemaInfo(io.druid.benchmark.datagen.BenchmarkSchemaInfo) PlannerConfig(io.druid.sql.calcite.planner.PlannerConfig) InputRow(io.druid.data.input.InputRow) PlannerFactory(io.druid.sql.calcite.planner.PlannerFactory) File(java.io.File) Interval(org.joda.time.Interval) Setup(org.openjdk.jmh.annotations.Setup)

Example 12 with QueryableIndex

use of io.druid.segment.QueryableIndex in project druid by druid-io.

the class TimeseriesBenchmark method setup.

@Setup
public void setup() throws IOException {
    log.info("SETUP CALLED AT " + System.currentTimeMillis());
    if (ComplexMetrics.getSerdeForType("hyperUnique") == null) {
        ComplexMetrics.registerSerde("hyperUnique", new HyperUniquesSerde(HyperLogLogHash.getDefault()));
    }
    executorService = Execs.multiThreaded(numSegments, "TimeseriesThreadPool");
    setupQueries();
    String[] schemaQuery = schemaAndQuery.split("\\.");
    String schemaName = schemaQuery[0];
    String queryName = schemaQuery[1];
    schemaInfo = BenchmarkSchemas.SCHEMA_MAP.get(schemaName);
    query = SCHEMA_QUERY_MAP.get(schemaName).get(queryName);
    incIndexes = new ArrayList<>();
    for (int i = 0; i < numSegments; i++) {
        log.info("Generating rows for segment " + i);
        BenchmarkDataGenerator gen = new BenchmarkDataGenerator(schemaInfo.getColumnSchemas(), RNG_SEED + i, schemaInfo.getDataInterval(), rowsPerSegment);
        IncrementalIndex incIndex = makeIncIndex();
        for (int j = 0; j < rowsPerSegment; j++) {
            InputRow row = gen.nextRow();
            if (j % 10000 == 0) {
                log.info(j + " rows generated.");
            }
            incIndex.add(row);
        }
        log.info(rowsPerSegment + " rows generated");
        incIndexes.add(incIndex);
    }
    tmpDir = Files.createTempDir();
    log.info("Using temp dir: " + tmpDir.getAbsolutePath());
    qIndexes = new ArrayList<>();
    for (int i = 0; i < numSegments; i++) {
        File indexFile = INDEX_MERGER_V9.persist(incIndexes.get(i), tmpDir, new IndexSpec());
        QueryableIndex qIndex = INDEX_IO.loadIndex(indexFile);
        qIndexes.add(qIndex);
    }
    factory = new TimeseriesQueryRunnerFactory(new TimeseriesQueryQueryToolChest(QueryBenchmarkUtil.NoopIntervalChunkingQueryRunnerDecorator()), new TimeseriesQueryEngine(), QueryBenchmarkUtil.NOOP_QUERYWATCHER);
}
Also used : IndexSpec(io.druid.segment.IndexSpec) IncrementalIndex(io.druid.segment.incremental.IncrementalIndex) OnheapIncrementalIndex(io.druid.segment.incremental.OnheapIncrementalIndex) BenchmarkDataGenerator(io.druid.benchmark.datagen.BenchmarkDataGenerator) HyperUniquesSerde(io.druid.query.aggregation.hyperloglog.HyperUniquesSerde) TimeseriesQueryQueryToolChest(io.druid.query.timeseries.TimeseriesQueryQueryToolChest) TimeseriesQueryEngine(io.druid.query.timeseries.TimeseriesQueryEngine) TimeseriesQueryRunnerFactory(io.druid.query.timeseries.TimeseriesQueryRunnerFactory) QueryableIndex(io.druid.segment.QueryableIndex) InputRow(io.druid.data.input.InputRow) File(java.io.File) Setup(org.openjdk.jmh.annotations.Setup)

Example 13 with QueryableIndex

use of io.druid.segment.QueryableIndex in project druid by druid-io.

the class SearchBenchmark method setup.

@Setup
public void setup() throws IOException {
    log.info("SETUP CALLED AT " + +System.currentTimeMillis());
    if (ComplexMetrics.getSerdeForType("hyperUnique") == null) {
        ComplexMetrics.registerSerde("hyperUnique", new HyperUniquesSerde(HyperLogLogHash.getDefault()));
    }
    executorService = Execs.multiThreaded(numSegments, "SearchThreadPool");
    setupQueries();
    String[] schemaQuery = schemaAndQuery.split("\\.");
    String schemaName = schemaQuery[0];
    String queryName = schemaQuery[1];
    schemaInfo = BenchmarkSchemas.SCHEMA_MAP.get(schemaName);
    queryBuilder = SCHEMA_QUERY_MAP.get(schemaName).get(queryName);
    queryBuilder.limit(limit);
    query = queryBuilder.build();
    incIndexes = new ArrayList<>();
    for (int i = 0; i < numSegments; i++) {
        log.info("Generating rows for segment " + i);
        BenchmarkDataGenerator gen = new BenchmarkDataGenerator(schemaInfo.getColumnSchemas(), System.currentTimeMillis(), schemaInfo.getDataInterval(), rowsPerSegment);
        IncrementalIndex incIndex = makeIncIndex();
        for (int j = 0; j < rowsPerSegment; j++) {
            InputRow row = gen.nextRow();
            if (j % 10000 == 0) {
                log.info(j + " rows generated.");
            }
            incIndex.add(row);
        }
        incIndexes.add(incIndex);
    }
    tmpDir = Files.createTempDir();
    log.info("Using temp dir: " + tmpDir.getAbsolutePath());
    qIndexes = new ArrayList<>();
    for (int i = 0; i < numSegments; i++) {
        File indexFile = INDEX_MERGER_V9.persist(incIndexes.get(i), tmpDir, new IndexSpec());
        QueryableIndex qIndex = INDEX_IO.loadIndex(indexFile);
        qIndexes.add(qIndex);
    }
    final SearchQueryConfig config = new SearchQueryConfig().withOverrides(query);
    factory = new SearchQueryRunnerFactory(new SearchStrategySelector(Suppliers.ofInstance(config)), new SearchQueryQueryToolChest(config, QueryBenchmarkUtil.NoopIntervalChunkingQueryRunnerDecorator()), QueryBenchmarkUtil.NOOP_QUERYWATCHER);
}
Also used : IndexSpec(io.druid.segment.IndexSpec) SearchQueryConfig(io.druid.query.search.search.SearchQueryConfig) IncrementalIndex(io.druid.segment.incremental.IncrementalIndex) OnheapIncrementalIndex(io.druid.segment.incremental.OnheapIncrementalIndex) BenchmarkDataGenerator(io.druid.benchmark.datagen.BenchmarkDataGenerator) HyperUniquesSerde(io.druid.query.aggregation.hyperloglog.HyperUniquesSerde) SearchQueryRunnerFactory(io.druid.query.search.SearchQueryRunnerFactory) SearchStrategySelector(io.druid.query.search.SearchStrategySelector) SearchQueryQueryToolChest(io.druid.query.search.SearchQueryQueryToolChest) QueryableIndex(io.druid.segment.QueryableIndex) InputRow(io.druid.data.input.InputRow) File(java.io.File) Setup(org.openjdk.jmh.annotations.Setup)

Example 14 with QueryableIndex

use of io.druid.segment.QueryableIndex in project druid by druid-io.

the class TopNBenchmark method setup.

@Setup
public void setup() throws IOException {
    log.info("SETUP CALLED AT " + System.currentTimeMillis());
    if (ComplexMetrics.getSerdeForType("hyperUnique") == null) {
        ComplexMetrics.registerSerde("hyperUnique", new HyperUniquesSerde(HyperLogLogHash.getDefault()));
    }
    executorService = Execs.multiThreaded(numSegments, "TopNThreadPool");
    setupQueries();
    String[] schemaQuery = schemaAndQuery.split("\\.");
    String schemaName = schemaQuery[0];
    String queryName = schemaQuery[1];
    schemaInfo = BenchmarkSchemas.SCHEMA_MAP.get(schemaName);
    queryBuilder = SCHEMA_QUERY_MAP.get(schemaName).get(queryName);
    queryBuilder.threshold(threshold);
    query = queryBuilder.build();
    incIndexes = new ArrayList<>();
    for (int i = 0; i < numSegments; i++) {
        log.info("Generating rows for segment " + i);
        BenchmarkDataGenerator gen = new BenchmarkDataGenerator(schemaInfo.getColumnSchemas(), RNG_SEED + i, schemaInfo.getDataInterval(), rowsPerSegment);
        IncrementalIndex incIndex = makeIncIndex();
        for (int j = 0; j < rowsPerSegment; j++) {
            InputRow row = gen.nextRow();
            if (j % 10000 == 0) {
                log.info(j + " rows generated.");
            }
            incIndex.add(row);
        }
        incIndexes.add(incIndex);
    }
    tmpDir = Files.createTempDir();
    log.info("Using temp dir: " + tmpDir.getAbsolutePath());
    qIndexes = new ArrayList<>();
    for (int i = 0; i < numSegments; i++) {
        File indexFile = INDEX_MERGER_V9.persist(incIndexes.get(i), tmpDir, new IndexSpec());
        QueryableIndex qIndex = INDEX_IO.loadIndex(indexFile);
        qIndexes.add(qIndex);
    }
    factory = new TopNQueryRunnerFactory(new StupidPool<>("TopNBenchmark-compute-bufferPool", new OffheapBufferGenerator("compute", 250000000), 0, Integer.MAX_VALUE), new TopNQueryQueryToolChest(new TopNQueryConfig(), QueryBenchmarkUtil.NoopIntervalChunkingQueryRunnerDecorator()), QueryBenchmarkUtil.NOOP_QUERYWATCHER);
}
Also used : IndexSpec(io.druid.segment.IndexSpec) IncrementalIndex(io.druid.segment.incremental.IncrementalIndex) OnheapIncrementalIndex(io.druid.segment.incremental.OnheapIncrementalIndex) BenchmarkDataGenerator(io.druid.benchmark.datagen.BenchmarkDataGenerator) HyperUniquesSerde(io.druid.query.aggregation.hyperloglog.HyperUniquesSerde) OffheapBufferGenerator(io.druid.offheap.OffheapBufferGenerator) TopNQueryConfig(io.druid.query.topn.TopNQueryConfig) QueryableIndex(io.druid.segment.QueryableIndex) InputRow(io.druid.data.input.InputRow) TopNQueryRunnerFactory(io.druid.query.topn.TopNQueryRunnerFactory) StupidPool(io.druid.collections.StupidPool) TopNQueryQueryToolChest(io.druid.query.topn.TopNQueryQueryToolChest) File(java.io.File) Setup(org.openjdk.jmh.annotations.Setup)

Example 15 with QueryableIndex

use of io.druid.segment.QueryableIndex in project druid by druid-io.

the class YeOldePlumberSchool method findPlumber.

@Override
public Plumber findPlumber(final DataSchema schema, final RealtimeTuningConfig config, final FireDepartmentMetrics metrics) {
    // There can be only one.
    final Sink theSink = new Sink(interval, schema, config.getShardSpec(), version, config.getMaxRowsInMemory(), config.isReportParseExceptions());
    // Temporary directory to hold spilled segments.
    final File persistDir = new File(tmpSegmentDir, theSink.getSegment().getIdentifier());
    // Set of spilled segments. Will be merged at the end.
    final Set<File> spilled = Sets.newHashSet();
    // IndexMerger implementation.
    final IndexMerger theIndexMerger = config.getBuildV9Directly() ? indexMergerV9 : indexMerger;
    return new Plumber() {

        @Override
        public Object startJob() {
            return null;
        }

        @Override
        public int add(InputRow row, Supplier<Committer> committerSupplier) throws IndexSizeExceededException {
            Sink sink = getSink(row.getTimestampFromEpoch());
            if (sink == null) {
                return -1;
            }
            final int numRows = sink.add(row);
            if (!sink.canAppendRow()) {
                persist(committerSupplier.get());
            }
            return numRows;
        }

        private Sink getSink(long timestamp) {
            if (theSink.getInterval().contains(timestamp)) {
                return theSink;
            } else {
                return null;
            }
        }

        @Override
        public <T> QueryRunner<T> getQueryRunner(Query<T> query) {
            throw new UnsupportedOperationException("Don't query me, bro.");
        }

        @Override
        public void persist(Committer committer) {
            spillIfSwappable();
            committer.run();
        }

        @Override
        public void finishJob() {
            // The segment we will upload
            File fileToUpload = null;
            try {
                // User should have persisted everything by now.
                Preconditions.checkState(!theSink.swappable(), "All data must be persisted before fininshing the job!");
                if (spilled.size() == 0) {
                    throw new IllegalStateException("Nothing indexed?");
                } else if (spilled.size() == 1) {
                    fileToUpload = Iterables.getOnlyElement(spilled);
                } else {
                    List<QueryableIndex> indexes = Lists.newArrayList();
                    for (final File oneSpill : spilled) {
                        indexes.add(indexIO.loadIndex(oneSpill));
                    }
                    fileToUpload = new File(tmpSegmentDir, "merged");
                    theIndexMerger.mergeQueryableIndex(indexes, schema.getGranularitySpec().isRollup(), schema.getAggregators(), fileToUpload, config.getIndexSpec());
                }
                // Map merged segment so we can extract dimensions
                final QueryableIndex mappedSegment = indexIO.loadIndex(fileToUpload);
                final DataSegment segmentToUpload = theSink.getSegment().withDimensions(ImmutableList.copyOf(mappedSegment.getAvailableDimensions())).withBinaryVersion(SegmentUtils.getVersionFromDir(fileToUpload));
                dataSegmentPusher.push(fileToUpload, segmentToUpload);
                log.info("Uploaded segment[%s]", segmentToUpload.getIdentifier());
            } catch (Exception e) {
                log.warn(e, "Failed to merge and upload");
                throw Throwables.propagate(e);
            } finally {
                try {
                    if (fileToUpload != null) {
                        log.info("Deleting Index File[%s]", fileToUpload);
                        FileUtils.deleteDirectory(fileToUpload);
                    }
                } catch (IOException e) {
                    log.warn(e, "Error deleting directory[%s]", fileToUpload);
                }
            }
        }

        private void spillIfSwappable() {
            if (theSink.swappable()) {
                final FireHydrant indexToPersist = theSink.swap();
                final int rowsToPersist = indexToPersist.getIndex().size();
                final File dirToPersist = getSpillDir(indexToPersist.getCount());
                log.info("Spilling index[%d] with rows[%d] to: %s", indexToPersist.getCount(), rowsToPersist, dirToPersist);
                try {
                    theIndexMerger.persist(indexToPersist.getIndex(), dirToPersist, config.getIndexSpec());
                    indexToPersist.swapSegment(null);
                    metrics.incrementRowOutputCount(rowsToPersist);
                    spilled.add(dirToPersist);
                } catch (Exception e) {
                    log.warn(e, "Failed to spill index[%d]", indexToPersist.getCount());
                    throw Throwables.propagate(e);
                }
            }
        }

        private File getSpillDir(final int n) {
            return new File(persistDir, String.format("spill%d", n));
        }
    };
}
Also used : IndexMerger(io.druid.segment.IndexMerger) Query(io.druid.query.Query) IOException(java.io.IOException) DataSegment(io.druid.timeline.DataSegment) IndexSizeExceededException(io.druid.segment.incremental.IndexSizeExceededException) IOException(java.io.IOException) Sink(io.druid.segment.realtime.plumber.Sink) QueryableIndex(io.druid.segment.QueryableIndex) InputRow(io.druid.data.input.InputRow) Plumber(io.druid.segment.realtime.plumber.Plumber) Supplier(com.google.common.base.Supplier) ImmutableList(com.google.common.collect.ImmutableList) List(java.util.List) Committer(io.druid.data.input.Committer) FireHydrant(io.druid.segment.realtime.FireHydrant) File(java.io.File)

Aggregations

QueryableIndex (io.druid.segment.QueryableIndex)35 File (java.io.File)23 IncrementalIndex (io.druid.segment.incremental.IncrementalIndex)16 OnheapIncrementalIndex (io.druid.segment.incremental.OnheapIncrementalIndex)12 InputRow (io.druid.data.input.InputRow)10 IndexSpec (io.druid.segment.IndexSpec)10 QueryableIndexSegment (io.druid.segment.QueryableIndexSegment)8 IOException (java.io.IOException)8 BenchmarkDataGenerator (io.druid.benchmark.datagen.BenchmarkDataGenerator)7 HyperUniquesSerde (io.druid.query.aggregation.hyperloglog.HyperUniquesSerde)7 Setup (org.openjdk.jmh.annotations.Setup)7 FireHydrant (io.druid.segment.realtime.FireHydrant)6 DataSegment (io.druid.timeline.DataSegment)6 QueryableIndexStorageAdapter (io.druid.segment.QueryableIndexStorageAdapter)5 StorageAdapter (io.druid.segment.StorageAdapter)5 DateTime (org.joda.time.DateTime)5 Interval (org.joda.time.Interval)5 IncrementalIndexSegment (io.druid.segment.IncrementalIndexSegment)4 IndexSizeExceededException (io.druid.segment.incremental.IndexSizeExceededException)4 ImmutableList (com.google.common.collect.ImmutableList)3