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Example 76 with Result

use of io.druid.query.Result in project druid by druid-io.

the class TimeseriesQueryRunnerTest method testTimeseriesWithOtherMultiDimFilter.

@Test
public void testTimeseriesWithOtherMultiDimFilter() {
    AndDimFilter andDimFilter = Druids.newAndDimFilterBuilder().fields(Arrays.<DimFilter>asList(Druids.newSelectorDimFilterBuilder().dimension(QueryRunnerTestHelper.marketDimension).value("spot").build(), Druids.newSelectorDimFilterBuilder().dimension(QueryRunnerTestHelper.qualityDimension).value("business").build())).build();
    TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource(QueryRunnerTestHelper.dataSource).granularity(QueryRunnerTestHelper.dayGran).filters(andDimFilter).intervals(QueryRunnerTestHelper.firstToThird).aggregators(QueryRunnerTestHelper.commonAggregators).postAggregators(Arrays.<PostAggregator>asList(QueryRunnerTestHelper.addRowsIndexConstant)).descending(descending).build();
    List<Result<TimeseriesResultValue>> expectedResults = Arrays.asList(new Result<>(new DateTime("2011-04-01"), new TimeseriesResultValue(ImmutableMap.<String, Object>of("rows", 1L, "index", new Float(118.570340).doubleValue(), "addRowsIndexConstant", new Float(120.570340).doubleValue(), "uniques", QueryRunnerTestHelper.UNIQUES_1))), new Result<>(new DateTime("2011-04-02"), new TimeseriesResultValue(ImmutableMap.<String, Object>of("rows", 1L, "index", new Float(112.987027).doubleValue(), "addRowsIndexConstant", new Float(114.987027).doubleValue(), "uniques", QueryRunnerTestHelper.UNIQUES_1))));
    Iterable<Result<TimeseriesResultValue>> results = Sequences.toList(runner.run(query, CONTEXT), Lists.<Result<TimeseriesResultValue>>newArrayList());
    assertExpectedResults(expectedResults, results);
}
Also used : AndDimFilter(io.druid.query.filter.AndDimFilter) InDimFilter(io.druid.query.filter.InDimFilter) SelectorDimFilter(io.druid.query.filter.SelectorDimFilter) DimFilter(io.druid.query.filter.DimFilter) RegexDimFilter(io.druid.query.filter.RegexDimFilter) NotDimFilter(io.druid.query.filter.NotDimFilter) AndDimFilter(io.druid.query.filter.AndDimFilter) BoundDimFilter(io.druid.query.filter.BoundDimFilter) DateTime(org.joda.time.DateTime) Result(io.druid.query.Result) Test(org.junit.Test)

Example 77 with Result

use of io.druid.query.Result in project druid by druid-io.

the class TimeseriesQueryRunnerTest method testTimeSeriesWithFilteredAggValueNotPresent.

@Test
public void testTimeSeriesWithFilteredAggValueNotPresent() {
    TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource(QueryRunnerTestHelper.dataSource).granularity(QueryRunnerTestHelper.allGran).intervals(QueryRunnerTestHelper.firstToThird).aggregators(Lists.newArrayList(Iterables.concat(QueryRunnerTestHelper.commonAggregators, Lists.newArrayList(new FilteredAggregatorFactory(new CountAggregatorFactory("filteredAgg"), new NotDimFilter(Druids.newSelectorDimFilterBuilder().dimension(QueryRunnerTestHelper.marketDimension).value("LolLol").build())))))).postAggregators(Arrays.<PostAggregator>asList(QueryRunnerTestHelper.addRowsIndexConstant)).descending(descending).build();
    Iterable<Result<TimeseriesResultValue>> actualResults = Sequences.toList(runner.run(query, CONTEXT), Lists.<Result<TimeseriesResultValue>>newArrayList());
    List<Result<TimeseriesResultValue>> expectedResults = Arrays.asList(new Result<>(new DateTime("2011-04-01"), new TimeseriesResultValue(ImmutableMap.<String, Object>of("filteredAgg", 26L, "addRowsIndexConstant", 12486.361190795898d, "index", 12459.361190795898d, "uniques", 9.019833517963864d, "rows", 26L))));
    assertExpectedResults(expectedResults, actualResults);
}
Also used : FilteredAggregatorFactory(io.druid.query.aggregation.FilteredAggregatorFactory) NotDimFilter(io.druid.query.filter.NotDimFilter) CountAggregatorFactory(io.druid.query.aggregation.CountAggregatorFactory) DateTime(org.joda.time.DateTime) Result(io.druid.query.Result) Test(org.junit.Test)

Example 78 with Result

use of io.druid.query.Result in project druid by druid-io.

the class TimeseriesQueryRunnerTest method testTimeseriesWithVaryingGranWithFilter.

@Test
public void testTimeseriesWithVaryingGranWithFilter() {
    TimeseriesQuery query1 = Druids.newTimeseriesQueryBuilder().dataSource(QueryRunnerTestHelper.dataSource).filters(QueryRunnerTestHelper.marketDimension, "spot", "upfront", "total_market").granularity(new PeriodGranularity(new Period("P1M"), null, null)).intervals(Arrays.asList(new Interval("2011-04-02T00:00:00.000Z/2011-04-03T00:00:00.000Z"))).aggregators(Arrays.<AggregatorFactory>asList(QueryRunnerTestHelper.rowsCount, new LongSumAggregatorFactory("idx", "index"), QueryRunnerTestHelper.qualityUniques)).descending(descending).build();
    List<Result<TimeseriesResultValue>> expectedResults1 = Arrays.asList(new Result<>(new DateTime("2011-04-01"), new TimeseriesResultValue(ImmutableMap.<String, Object>of("rows", 13L, "idx", 5827L, "uniques", QueryRunnerTestHelper.UNIQUES_9))));
    Iterable<Result<TimeseriesResultValue>> results1 = Sequences.toList(runner.run(query1, CONTEXT), Lists.<Result<TimeseriesResultValue>>newArrayList());
    assertExpectedResults(expectedResults1, results1);
    TimeseriesQuery query2 = Druids.newTimeseriesQueryBuilder().dataSource(QueryRunnerTestHelper.dataSource).filters(QueryRunnerTestHelper.marketDimension, "spot", "upfront", "total_market").granularity("DAY").intervals(Arrays.asList(new Interval("2011-04-02T00:00:00.000Z/2011-04-03T00:00:00.000Z"))).aggregators(Arrays.<AggregatorFactory>asList(QueryRunnerTestHelper.rowsCount, new LongSumAggregatorFactory("idx", "index"), QueryRunnerTestHelper.qualityUniques)).build();
    List<Result<TimeseriesResultValue>> expectedResults2 = Arrays.asList(new Result<>(new DateTime("2011-04-02"), new TimeseriesResultValue(ImmutableMap.<String, Object>of("rows", 13L, "idx", 5827L, "uniques", QueryRunnerTestHelper.UNIQUES_9))));
    Iterable<Result<TimeseriesResultValue>> results2 = Sequences.toList(runner.run(query2, CONTEXT), Lists.<Result<TimeseriesResultValue>>newArrayList());
    assertExpectedResults(expectedResults2, results2);
}
Also used : PeriodGranularity(io.druid.java.util.common.granularity.PeriodGranularity) LongSumAggregatorFactory(io.druid.query.aggregation.LongSumAggregatorFactory) Period(org.joda.time.Period) AggregatorFactory(io.druid.query.aggregation.AggregatorFactory) CountAggregatorFactory(io.druid.query.aggregation.CountAggregatorFactory) DoubleFirstAggregatorFactory(io.druid.query.aggregation.first.DoubleFirstAggregatorFactory) DoubleMaxAggregatorFactory(io.druid.query.aggregation.DoubleMaxAggregatorFactory) FilteredAggregatorFactory(io.druid.query.aggregation.FilteredAggregatorFactory) DoubleMinAggregatorFactory(io.druid.query.aggregation.DoubleMinAggregatorFactory) DoubleLastAggregatorFactory(io.druid.query.aggregation.last.DoubleLastAggregatorFactory) LongSumAggregatorFactory(io.druid.query.aggregation.LongSumAggregatorFactory) DateTime(org.joda.time.DateTime) Interval(org.joda.time.Interval) Result(io.druid.query.Result) Test(org.junit.Test)

Example 79 with Result

use of io.druid.query.Result in project druid by druid-io.

the class TimeseriesQueryRunnerTest method testTimeseriesWithMultiDimFilter.

@Test
public void testTimeseriesWithMultiDimFilter() {
    AndDimFilter andDimFilter = Druids.newAndDimFilterBuilder().fields(Arrays.<DimFilter>asList(Druids.newSelectorDimFilterBuilder().dimension(QueryRunnerTestHelper.marketDimension).value("spot").build(), Druids.newSelectorDimFilterBuilder().dimension(QueryRunnerTestHelper.qualityDimension).value("automotive").build())).build();
    TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource(QueryRunnerTestHelper.dataSource).granularity(QueryRunnerTestHelper.dayGran).filters(andDimFilter).intervals(QueryRunnerTestHelper.firstToThird).aggregators(QueryRunnerTestHelper.commonAggregators).postAggregators(Arrays.<PostAggregator>asList(QueryRunnerTestHelper.addRowsIndexConstant)).descending(descending).build();
    List<Result<TimeseriesResultValue>> expectedResults = Arrays.asList(new Result<>(new DateTime("2011-04-01"), new TimeseriesResultValue(ImmutableMap.<String, Object>of("rows", 1L, "index", new Float(135.885094).doubleValue(), "addRowsIndexConstant", new Float(137.885094).doubleValue(), "uniques", QueryRunnerTestHelper.UNIQUES_1))), new Result<>(new DateTime("2011-04-02"), new TimeseriesResultValue(ImmutableMap.<String, Object>of("rows", 1L, "index", new Float(147.425935).doubleValue(), "addRowsIndexConstant", new Float(149.425935).doubleValue(), "uniques", QueryRunnerTestHelper.UNIQUES_1))));
    Iterable<Result<TimeseriesResultValue>> results = Sequences.toList(runner.run(query, CONTEXT), Lists.<Result<TimeseriesResultValue>>newArrayList());
    assertExpectedResults(expectedResults, results);
}
Also used : AndDimFilter(io.druid.query.filter.AndDimFilter) InDimFilter(io.druid.query.filter.InDimFilter) SelectorDimFilter(io.druid.query.filter.SelectorDimFilter) DimFilter(io.druid.query.filter.DimFilter) RegexDimFilter(io.druid.query.filter.RegexDimFilter) NotDimFilter(io.druid.query.filter.NotDimFilter) AndDimFilter(io.druid.query.filter.AndDimFilter) BoundDimFilter(io.druid.query.filter.BoundDimFilter) DateTime(org.joda.time.DateTime) Result(io.druid.query.Result) Test(org.junit.Test)

Example 80 with Result

use of io.druid.query.Result in project druid by druid-io.

the class TimeseriesQueryRunnerTest method testTimeSeriesWithFilteredAgg.

@Test
public void testTimeSeriesWithFilteredAgg() {
    TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource(QueryRunnerTestHelper.dataSource).granularity(QueryRunnerTestHelper.allGran).intervals(QueryRunnerTestHelper.firstToThird).aggregators(Lists.newArrayList(Iterables.concat(QueryRunnerTestHelper.commonAggregators, Lists.newArrayList(new FilteredAggregatorFactory(new CountAggregatorFactory("filteredAgg"), Druids.newSelectorDimFilterBuilder().dimension(QueryRunnerTestHelper.marketDimension).value("spot").build()))))).postAggregators(Arrays.<PostAggregator>asList(QueryRunnerTestHelper.addRowsIndexConstant)).descending(descending).build();
    Iterable<Result<TimeseriesResultValue>> actualResults = Sequences.toList(runner.run(query, CONTEXT), Lists.<Result<TimeseriesResultValue>>newArrayList());
    List<Result<TimeseriesResultValue>> expectedResults = Arrays.asList(new Result<>(new DateTime("2011-04-01"), new TimeseriesResultValue(ImmutableMap.<String, Object>of("filteredAgg", 18L, "addRowsIndexConstant", 12486.361190795898d, "index", 12459.361190795898d, "uniques", 9.019833517963864d, "rows", 26L))));
    assertExpectedResults(expectedResults, actualResults);
}
Also used : FilteredAggregatorFactory(io.druid.query.aggregation.FilteredAggregatorFactory) CountAggregatorFactory(io.druid.query.aggregation.CountAggregatorFactory) DateTime(org.joda.time.DateTime) Result(io.druid.query.Result) Test(org.junit.Test)

Aggregations

Result (io.druid.query.Result)236 Test (org.junit.Test)164 DateTime (org.joda.time.DateTime)153 HashMap (java.util.HashMap)66 PostAggregator (io.druid.query.aggregation.PostAggregator)51 QueryRunner (io.druid.query.QueryRunner)49 Interval (org.joda.time.Interval)44 TimeseriesResultValue (io.druid.query.timeseries.TimeseriesResultValue)40 CountAggregatorFactory (io.druid.query.aggregation.CountAggregatorFactory)38 TimeseriesQuery (io.druid.query.timeseries.TimeseriesQuery)37 DoubleMaxAggregatorFactory (io.druid.query.aggregation.DoubleMaxAggregatorFactory)36 DoubleMinAggregatorFactory (io.druid.query.aggregation.DoubleMinAggregatorFactory)36 HyperUniqueFinalizingPostAggregator (io.druid.query.aggregation.hyperloglog.HyperUniqueFinalizingPostAggregator)35 LongSumAggregatorFactory (io.druid.query.aggregation.LongSumAggregatorFactory)34 AggregatorFactory (io.druid.query.aggregation.AggregatorFactory)31 ExtractionDimensionSpec (io.druid.query.dimension.ExtractionDimensionSpec)31 TopNResultValue (io.druid.query.topn.TopNResultValue)30 Map (java.util.Map)27 Benchmark (org.openjdk.jmh.annotations.Benchmark)27 BenchmarkMode (org.openjdk.jmh.annotations.BenchmarkMode)27