Examples with DoubleSumAggregatorFactory org.apache.druid.query.aggregation.DoubleSumAggregatorFactory used on opensource projects

Example 56 with DoubleSumAggregatorFactory

use of org.apache.druid.query.aggregation.DoubleSumAggregatorFactory in project druid by druid-io.

the class FieldAccessPostAggregatorTest method testResultArraySignature.

@Test
public void testResultArraySignature() {
    final TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource("dummy").intervals("2000/3000").granularity(Granularities.HOUR).aggregators(new CountAggregatorFactory("count"), new DoubleSumAggregatorFactory("double", "col1"), new FloatSumAggregatorFactory("float", "col2")).postAggregators(new FieldAccessPostAggregator("a", "count"), new FieldAccessPostAggregator("b", "double"), new FieldAccessPostAggregator("c", "float")).build();
    Assert.assertEquals(RowSignature.builder().addTimeColumn().add("count", ColumnType.LONG).add("double", ColumnType.DOUBLE).add("float", ColumnType.FLOAT).add("a", ColumnType.LONG).add("b", ColumnType.DOUBLE).add("c", ColumnType.FLOAT).build(), new TimeseriesQueryQueryToolChest().resultArraySignature(query));
}

Example 57 with DoubleSumAggregatorFactory

use of org.apache.druid.query.aggregation.DoubleSumAggregatorFactory in project druid by druid-io.

the class ExpressionPostAggregatorTest method testResultArraySignature.

@Test
public void testResultArraySignature() {
    final TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource("dummy").intervals("2000/3000").granularity(Granularities.HOUR).aggregators(new CountAggregatorFactory("count"), new DoubleSumAggregatorFactory("double", "col1"), new FloatSumAggregatorFactory("float", "col2")).postAggregators(new ExpressionPostAggregator("a", "double + float", null, TestExprMacroTable.INSTANCE), new ExpressionPostAggregator("b", "count + count", null, TestExprMacroTable.INSTANCE), new ExpressionPostAggregator("c", "count + double", null, TestExprMacroTable.INSTANCE), new ExpressionPostAggregator("d", "float + float", null, TestExprMacroTable.INSTANCE)).build();
    Assert.assertEquals(RowSignature.builder().addTimeColumn().add("count", ColumnType.LONG).add("double", ColumnType.DOUBLE).add("float", ColumnType.FLOAT).add("a", ColumnType.DOUBLE).add("b", ColumnType.LONG).add("c", ColumnType.DOUBLE).add("d", // floats don't exist in expressions
    ColumnType.DOUBLE).build(), new TimeseriesQueryQueryToolChest().resultArraySignature(query));
}

Example 58 with DoubleSumAggregatorFactory

use of org.apache.druid.query.aggregation.DoubleSumAggregatorFactory in project druid by druid-io.

the class TopNQueryRunnerTest method testTopNWithNonBitmapFilter.

/**
 * Regression test for https://github.com/apache/druid/issues/5132
 */
@Test
public void testTopNWithNonBitmapFilter() {
    TopNQuery query = new TopNQueryBuilder().dataSource(QueryRunnerTestHelper.DATA_SOURCE).granularity(QueryRunnerTestHelper.ALL_GRAN).filters(new BoundDimFilter(ColumnHolder.TIME_COLUMN_NAME, "0", String.valueOf(Long.MAX_VALUE), true, true, false, null, StringComparators.NUMERIC)).dimension(QueryRunnerTestHelper.MARKET_DIMENSION).metric("count").threshold(4).intervals(QueryRunnerTestHelper.FIRST_TO_THIRD).aggregators(new DoubleSumAggregatorFactory("count", "qualityDouble")).build();
    // Don't check results, just the fact that the query could complete
    Assert.assertNotNull(runWithMerge(query).toList());
}

Example 59 with DoubleSumAggregatorFactory

use of org.apache.druid.query.aggregation.DoubleSumAggregatorFactory in project druid by druid-io.

the class OnheapIncrementalIndexBenchmark method testConcurrentAddRead.

@Ignore
@Test
@BenchmarkOptions(callgc = true, clock = Clock.REAL_TIME, warmupRounds = 10, benchmarkRounds = 20)
public void testConcurrentAddRead() throws InterruptedException, ExecutionException, NoSuchMethodException, IllegalAccessException, InvocationTargetException, InstantiationException {
    final int taskCount = 30;
    final int concurrentThreads = 3;
    final int elementsPerThread = 1 << 15;
    final IncrementalIndex incrementalIndex = this.incrementalIndex.getConstructor(IncrementalIndexSchema.class, boolean.class, boolean.class, boolean.class, boolean.class, int.class).newInstance(new IncrementalIndexSchema.Builder().withMetrics(factories).build(), true, true, false, true, elementsPerThread * taskCount);
    final ArrayList<AggregatorFactory> queryAggregatorFactories = new ArrayList<>(DIMENSION_COUNT + 1);
    queryAggregatorFactories.add(new CountAggregatorFactory("rows"));
    for (int i = 0; i < DIMENSION_COUNT; ++i) {
        queryAggregatorFactories.add(new LongSumAggregatorFactory(StringUtils.format("sumResult%s", i), StringUtils.format("sumResult%s", i)));
        queryAggregatorFactories.add(new DoubleSumAggregatorFactory(StringUtils.format("doubleSumResult%s", i), StringUtils.format("doubleSumResult%s", i)));
    }
    final ListeningExecutorService indexExecutor = MoreExecutors.listeningDecorator(Executors.newFixedThreadPool(concurrentThreads, new ThreadFactoryBuilder().setDaemon(false).setNameFormat("index-executor-%d").setPriority(Thread.MIN_PRIORITY).build()));
    final ListeningExecutorService queryExecutor = MoreExecutors.listeningDecorator(Executors.newFixedThreadPool(concurrentThreads, new ThreadFactoryBuilder().setDaemon(false).setNameFormat("query-executor-%d").build()));
    final long timestamp = System.currentTimeMillis();
    final Interval queryInterval = Intervals.of("1900-01-01T00:00:00Z/2900-01-01T00:00:00Z");
    final List<ListenableFuture<?>> indexFutures = new ArrayList<>();
    final List<ListenableFuture<?>> queryFutures = new ArrayList<>();
    final Segment incrementalIndexSegment = new IncrementalIndexSegment(incrementalIndex, null);
    final QueryRunnerFactory factory = new TimeseriesQueryRunnerFactory(new TimeseriesQueryQueryToolChest(), new TimeseriesQueryEngine(), QueryRunnerTestHelper.NOOP_QUERYWATCHER);
    final AtomicInteger currentlyRunning = new AtomicInteger(0);
    final AtomicBoolean concurrentlyRan = new AtomicBoolean(false);
    final AtomicBoolean someoneRan = new AtomicBoolean(false);
    for (int j = 0; j < taskCount; j++) {
        indexFutures.add(indexExecutor.submit(new Runnable() {

            @Override
            public void run() {
                currentlyRunning.incrementAndGet();
                try {
                    for (int i = 0; i < elementsPerThread; i++) {
                        incrementalIndex.add(getLongRow(timestamp + i, 1, DIMENSION_COUNT));
                    }
                } catch (IndexSizeExceededException e) {
                    throw new RuntimeException(e);
                }
                currentlyRunning.decrementAndGet();
                someoneRan.set(true);
            }
        }));
        queryFutures.add(queryExecutor.submit(new Runnable() {

            @Override
            public void run() {
                QueryRunner<Result<TimeseriesResultValue>> runner = new FinalizeResultsQueryRunner<Result<TimeseriesResultValue>>(factory.createRunner(incrementalIndexSegment), factory.getToolchest());
                TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource("xxx").granularity(Granularities.ALL).intervals(ImmutableList.of(queryInterval)).aggregators(queryAggregatorFactories).build();
                List<Result<TimeseriesResultValue>> results = runner.run(QueryPlus.wrap(query)).toList();
                for (Result<TimeseriesResultValue> result : results) {
                    if (someoneRan.get()) {
                        Assert.assertTrue(result.getValue().getDoubleMetric("doubleSumResult0") > 0);
                    }
                }
                if (currentlyRunning.get() > 0) {
                    concurrentlyRan.set(true);
                }
            }
        }));
    }
    List<ListenableFuture<?>> allFutures = new ArrayList<>(queryFutures.size() + indexFutures.size());
    allFutures.addAll(queryFutures);
    allFutures.addAll(indexFutures);
    Futures.allAsList(allFutures).get();
    // Assert.assertTrue("Did not hit concurrency, please try again", concurrentlyRan.get());
    queryExecutor.shutdown();
    indexExecutor.shutdown();
    QueryRunner<Result<TimeseriesResultValue>> runner = new FinalizeResultsQueryRunner<Result<TimeseriesResultValue>>(factory.createRunner(incrementalIndexSegment), factory.getToolchest());
    TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource("xxx").granularity(Granularities.ALL).intervals(ImmutableList.of(queryInterval)).aggregators(queryAggregatorFactories).build();
    List<Result<TimeseriesResultValue>> results = runner.run(QueryPlus.wrap(query)).toList();
    final int expectedVal = elementsPerThread * taskCount;
    for (Result<TimeseriesResultValue> result : results) {
        Assert.assertEquals(elementsPerThread, result.getValue().getLongMetric("rows").intValue());
        for (int i = 0; i < DIMENSION_COUNT; ++i) {
            Assert.assertEquals(StringUtils.format("Failed long sum on dimension %d", i), expectedVal, result.getValue().getLongMetric(StringUtils.format("sumResult%s", i)).intValue());
            Assert.assertEquals(StringUtils.format("Failed double sum on dimension %d", i), expectedVal, result.getValue().getDoubleMetric(StringUtils.format("doubleSumResult%s", i)).intValue());
        }
    }
}

Example 60 with DoubleSumAggregatorFactory

use of org.apache.druid.query.aggregation.DoubleSumAggregatorFactory in project druid by druid-io.

the class BloomFilterSqlAggregatorTest method createQuerySegmentWalker.

@Override
public SpecificSegmentsQuerySegmentWalker createQuerySegmentWalker() throws IOException {
    InputRowParser parser = new MapInputRowParser(new TimeAndDimsParseSpec(new TimestampSpec("t", "iso", null), new DimensionsSpec(ImmutableList.<DimensionSchema>builder().addAll(DimensionsSpec.getDefaultSchemas(ImmutableList.of("dim1", "dim2", "dim3"))).add(new DoubleDimensionSchema("d1")).add(new FloatDimensionSchema("f1")).add(new LongDimensionSchema("l1")).build())));
    final QueryableIndex index = IndexBuilder.create().tmpDir(temporaryFolder.newFolder()).segmentWriteOutMediumFactory(OffHeapMemorySegmentWriteOutMediumFactory.instance()).schema(new IncrementalIndexSchema.Builder().withMetrics(new CountAggregatorFactory("cnt"), new DoubleSumAggregatorFactory("m1", "m1")).withDimensionsSpec(parser).withRollup(false).build()).rows(CalciteTests.ROWS1_WITH_NUMERIC_DIMS).buildMMappedIndex();
    return new SpecificSegmentsQuerySegmentWalker(conglomerate).add(DataSegment.builder().dataSource(DATA_SOURCE).interval(index.getDataInterval()).version("1").shardSpec(new LinearShardSpec(0)).size(0).build(), index);
}