Examples with IncrementalIndexSegment org.apache.druid.segment.IncrementalIndexSegment used on opensource projects

Example 31 with IncrementalIndexSegment

use of org.apache.druid.segment.IncrementalIndexSegment in project druid by druid-io.

the class GroupByBenchmark method querySingleIncrementalIndex.

@Benchmark
@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.MICROSECONDS)
public void querySingleIncrementalIndex(Blackhole blackhole, IncrementalIndexState state) {
    QueryRunner<ResultRow> runner = QueryBenchmarkUtil.makeQueryRunner(factory, SegmentId.dummy("incIndex"), new IncrementalIndexSegment(state.incIndex, SegmentId.dummy("incIndex")));
    final Sequence<ResultRow> results = GroupByBenchmark.runQuery(factory, runner, query);
    final ResultRow lastRow = results.accumulate(null, (accumulated, in) -> in);
    blackhole.consume(lastRow);
}

Example 32 with IncrementalIndexSegment

use of org.apache.druid.segment.IncrementalIndexSegment in project druid by druid-io.

the class DistinctCountGroupByQueryTest method testGroupByWithDistinctCountAgg.

@Test
public void testGroupByWithDistinctCountAgg() throws Exception {
    IncrementalIndex index = new OnheapIncrementalIndex.Builder().setIndexSchema(new IncrementalIndexSchema.Builder().withQueryGranularity(Granularities.SECOND).withMetrics(new CountAggregatorFactory("cnt")).build()).setConcurrentEventAdd(true).setMaxRowCount(1000).build();
    String visitor_id = "visitor_id";
    String client_type = "client_type";
    long timestamp = DateTimes.of("2010-01-01").getMillis();
    index.add(new MapBasedInputRow(timestamp, Lists.newArrayList(visitor_id, client_type), ImmutableMap.of(visitor_id, "0", client_type, "iphone")));
    index.add(new MapBasedInputRow(timestamp + 1, Lists.newArrayList(visitor_id, client_type), ImmutableMap.of(visitor_id, "1", client_type, "iphone")));
    index.add(new MapBasedInputRow(timestamp + 2, Lists.newArrayList(visitor_id, client_type), ImmutableMap.of(visitor_id, "2", client_type, "android")));
    GroupByQuery query = new GroupByQuery.Builder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setGranularity(QueryRunnerTestHelper.ALL_GRAN).setDimensions(new DefaultDimensionSpec(client_type, client_type)).setInterval(QueryRunnerTestHelper.FULL_ON_INTERVAL_SPEC).setLimitSpec(new DefaultLimitSpec(Collections.singletonList(new OrderByColumnSpec(client_type, OrderByColumnSpec.Direction.DESCENDING)), 10)).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT, new DistinctCountAggregatorFactory("UV", visitor_id, null)).build();
    final Segment incrementalIndexSegment = new IncrementalIndexSegment(index, null);
    Iterable<ResultRow> results = GroupByQueryRunnerTestHelper.runQuery(factory, factory.createRunner(incrementalIndexSegment), query);
    List<ResultRow> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970-01-01T00:00:00.000Z", client_type, "iphone", "UV", 2L, "rows", 2L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970-01-01T00:00:00.000Z", client_type, "android", "UV", 1L, "rows", 1L));
    TestHelper.assertExpectedObjects(expectedResults, results, "distinct-count");
}

Example 33 with IncrementalIndexSegment

use of org.apache.druid.segment.IncrementalIndexSegment in project druid by druid-io.

the class MultiValuedDimensionTest method testGroupByExpressionFoldArrayToString.

@Test
public void testGroupByExpressionFoldArrayToString() {
    if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
        expectedException.expect(RuntimeException.class);
        expectedException.expectMessage("GroupBy v1 does not support dimension selectors with unknown cardinality.");
    }
    GroupByQuery query = GroupByQuery.builder().setDataSource("xx").setQuerySegmentSpec(new LegacySegmentSpec("1970/3000")).setGranularity(Granularities.ALL).setDimensions(new DefaultDimensionSpec("tt", "tt")).setVirtualColumns(new ExpressionVirtualColumn("tt", "fold((tag, acc) -> concat(acc, tag), tags, '')", ColumnType.STRING, TestExprMacroTable.INSTANCE)).setAggregatorSpecs(new CountAggregatorFactory("count")).setContext(context).build();
    Sequence<ResultRow> result = helper.runQueryOnSegmentsObjs(ImmutableList.of(new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")), new IncrementalIndexSegment(incrementalIndex, SegmentId.dummy("sid2"))), query);
    List<ResultRow> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970-01-01T00:00:00.000Z", "tt", NullHandling.replaceWithDefault() ? null : "", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "t1t2t3", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "t3t4t5", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "t5t6t7", "count", 2L));
    TestHelper.assertExpectedObjects(expectedResults, result.toList(), "expr-arrayfn-auto");
}

Example 34 with IncrementalIndexSegment

use of org.apache.druid.segment.IncrementalIndexSegment in project druid by druid-io.

the class MultiValuedDimensionTest method testGroupByExpressionFoldArrayToStringWithConcats.

@Test
public void testGroupByExpressionFoldArrayToStringWithConcats() {
    if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
        expectedException.expect(RuntimeException.class);
        expectedException.expectMessage("GroupBy v1 does not support dimension selectors with unknown cardinality.");
    }
    GroupByQuery query = GroupByQuery.builder().setDataSource("xx").setQuerySegmentSpec(new LegacySegmentSpec("1970/3000")).setGranularity(Granularities.ALL).setDimensions(new DefaultDimensionSpec("tt", "tt")).setVirtualColumns(new ExpressionVirtualColumn("tt", "fold((tag, acc) -> concat(concat(acc, case_searched(acc == '', '', ', '), concat('foo', tag))), tags, '')", ColumnType.STRING, TestExprMacroTable.INSTANCE)).setAggregatorSpecs(new CountAggregatorFactory("count")).setContext(context).build();
    Sequence<ResultRow> result = helper.runQueryOnSegmentsObjs(ImmutableList.of(new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")), new IncrementalIndexSegment(incrementalIndex, SegmentId.dummy("sid2"))), query);
    List<ResultRow> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", NullHandling.replaceWithDefault() ? null : "foo", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "foot1, foot2, foot3", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "foot3, foot4, foot5", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "foot5, foot6, foot7", "count", 2L));
    TestHelper.assertExpectedObjects(expectedResults, result.toList(), "expr-arrayfn-auto");
}

Example 35 with IncrementalIndexSegment

use of org.apache.druid.segment.IncrementalIndexSegment in project druid by druid-io.

the class MultiValuedDimensionTest method testGroupByExpressionAutoArrayFnArg.

@Test
public void testGroupByExpressionAutoArrayFnArg() {
    if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
        expectedException.expect(RuntimeException.class);
        expectedException.expectMessage("GroupBy v1 does not support dimension selectors with unknown cardinality.");
    }
    GroupByQuery query = GroupByQuery.builder().setDataSource("xx").setQuerySegmentSpec(new LegacySegmentSpec("1970/3000")).setGranularity(Granularities.ALL).setDimensions(new DefaultDimensionSpec("tt", "tt")).setVirtualColumns(new ExpressionVirtualColumn("tt", "array_to_string(concat('foo', tags), ', ')", ColumnType.STRING, TestExprMacroTable.INSTANCE)).setAggregatorSpecs(new CountAggregatorFactory("count")).setContext(context).build();
    Sequence<ResultRow> result = helper.runQueryOnSegmentsObjs(ImmutableList.of(new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")), new IncrementalIndexSegment(incrementalIndex, SegmentId.dummy("sid2"))), query);
    List<ResultRow> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "foo", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "foot1, foot2, foot3", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "foot3, foot4, foot5", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "foot5, foot6, foot7", "count", 2L));
    TestHelper.assertExpectedObjects(expectedResults, result.toList(), "expr-arrayfn-auto");
}