Examples with TimeseriesResultValue io.druid.query.timeseries.TimeseriesResultValue used on opensource projects

Example 11 with TimeseriesResultValue

use of io.druid.query.timeseries.TimeseriesResultValue in project druid by druid-io.

the class AppendTest method testFilteredTimeSeries.

@Test
public void testFilteredTimeSeries() {
    List<Result<TimeseriesResultValue>> expectedResults = Arrays.asList(new Result<TimeseriesResultValue>(new DateTime("2011-01-12T00:00:00.000Z"), new TimeseriesResultValue(ImmutableMap.<String, Object>builder().put("rows", 5L).put("index", 500.0D).put("addRowsIndexConstant", 506.0D).put("uniques", 1.0002442201269182D).put("maxIndex", 100.0D).put("minIndex", 100.0D).build())));
    TimeseriesQuery query = makeFilteredTimeseriesQuery();
    QueryRunner runner = TestQueryRunners.makeTimeSeriesQueryRunner(segment);
    HashMap<String, Object> context = new HashMap<String, Object>();
    TestHelper.assertExpectedResults(expectedResults, runner.run(query, context));
}

Example 12 with TimeseriesResultValue

use of io.druid.query.timeseries.TimeseriesResultValue in project druid by druid-io.

the class AppendTest method testTimeSeries.

@Test
public void testTimeSeries() {
    List<Result<TimeseriesResultValue>> expectedResults = Arrays.asList(new Result<TimeseriesResultValue>(new DateTime("2011-01-12T00:00:00.000Z"), new TimeseriesResultValue(ImmutableMap.<String, Object>builder().put("rows", 8L).put("index", 700.0D).put("addRowsIndexConstant", 709.0D).put("uniques", 1.0002442201269182D).put("maxIndex", 100.0D).put("minIndex", 0.0D).build())));
    TimeseriesQuery query = makeTimeseriesQuery();
    QueryRunner runner = TestQueryRunners.makeTimeSeriesQueryRunner(segment);
    HashMap<String, Object> context = new HashMap<String, Object>();
    TestHelper.assertExpectedResults(expectedResults, runner.run(query, context));
}

Example 13 with TimeseriesResultValue

use of io.druid.query.timeseries.TimeseriesResultValue in project druid by druid-io.

the class AppendTest method testRowFiltering.

@Test
public void testRowFiltering() {
    List<Result<TimeseriesResultValue>> expectedResults = Arrays.asList(new Result<TimeseriesResultValue>(new DateTime("2011-01-12T00:00:00.000Z"), new TimeseriesResultValue(ImmutableMap.<String, Object>builder().put("rows", 5L).put("index", 500.0D).put("addRowsIndexConstant", 506.0D).put("uniques", 0.0D).put("maxIndex", 100.0D).put("minIndex", 100.0D).build())));
    TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource(dataSource).granularity(allGran).intervals(fullOnInterval).filters(marketDimension, "breakstuff").aggregators(Lists.<AggregatorFactory>newArrayList(Iterables.concat(commonAggregators, Lists.newArrayList(new DoubleMaxAggregatorFactory("maxIndex", "index"), new DoubleMinAggregatorFactory("minIndex", "index"))))).postAggregators(Arrays.<PostAggregator>asList(addRowsIndexConstant)).build();
    QueryRunner runner = TestQueryRunners.makeTimeSeriesQueryRunner(segment3);
    HashMap<String, Object> context = new HashMap<String, Object>();
    TestHelper.assertExpectedResults(expectedResults, runner.run(query, context));
}

Example 14 with TimeseriesResultValue

use of io.druid.query.timeseries.TimeseriesResultValue in project druid by druid-io.

the class AppenderatorTest method testQueryBySegments.

@Test
public void testQueryBySegments() throws Exception {
    try (final AppenderatorTester tester = new AppenderatorTester(2)) {
        final Appenderator appenderator = tester.getAppenderator();
        appenderator.startJob();
        appenderator.add(IDENTIFIERS.get(0), IR("2000", "foo", 1), Suppliers.ofInstance(Committers.nil()));
        appenderator.add(IDENTIFIERS.get(0), IR("2000", "foo", 2), Suppliers.ofInstance(Committers.nil()));
        appenderator.add(IDENTIFIERS.get(1), IR("2000", "foo", 4), Suppliers.ofInstance(Committers.nil()));
        appenderator.add(IDENTIFIERS.get(2), IR("2001", "foo", 8), Suppliers.ofInstance(Committers.nil()));
        appenderator.add(IDENTIFIERS.get(2), IR("2001T01", "foo", 16), Suppliers.ofInstance(Committers.nil()));
        appenderator.add(IDENTIFIERS.get(2), IR("2001T02", "foo", 32), Suppliers.ofInstance(Committers.nil()));
        appenderator.add(IDENTIFIERS.get(2), IR("2001T03", "foo", 64), Suppliers.ofInstance(Committers.nil()));
        // Query1: segment #2
        final TimeseriesQuery query1 = Druids.newTimeseriesQueryBuilder().dataSource(AppenderatorTester.DATASOURCE).aggregators(Arrays.<AggregatorFactory>asList(new LongSumAggregatorFactory("count", "count"), new LongSumAggregatorFactory("met", "met"))).granularity(Granularities.DAY).intervals(new MultipleSpecificSegmentSpec(ImmutableList.of(new SegmentDescriptor(IDENTIFIERS.get(2).getInterval(), IDENTIFIERS.get(2).getVersion(), IDENTIFIERS.get(2).getShardSpec().getPartitionNum())))).build();
        final List<Result<TimeseriesResultValue>> results1 = Lists.newArrayList();
        Sequences.toList(query1.run(appenderator, ImmutableMap.<String, Object>of()), results1);
        Assert.assertEquals("query1", ImmutableList.of(new Result<>(new DateTime("2001"), new TimeseriesResultValue(ImmutableMap.<String, Object>of("count", 4L, "met", 120L)))), results1);
        // Query2: segment #2, partial
        final TimeseriesQuery query2 = Druids.newTimeseriesQueryBuilder().dataSource(AppenderatorTester.DATASOURCE).aggregators(Arrays.<AggregatorFactory>asList(new LongSumAggregatorFactory("count", "count"), new LongSumAggregatorFactory("met", "met"))).granularity(Granularities.DAY).intervals(new MultipleSpecificSegmentSpec(ImmutableList.of(new SegmentDescriptor(new Interval("2001/PT1H"), IDENTIFIERS.get(2).getVersion(), IDENTIFIERS.get(2).getShardSpec().getPartitionNum())))).build();
        final List<Result<TimeseriesResultValue>> results2 = Lists.newArrayList();
        Sequences.toList(query2.run(appenderator, ImmutableMap.<String, Object>of()), results2);
        Assert.assertEquals("query2", ImmutableList.of(new Result<>(new DateTime("2001"), new TimeseriesResultValue(ImmutableMap.<String, Object>of("count", 1L, "met", 8L)))), results2);
        // Query3: segment #2, two disjoint intervals
        final TimeseriesQuery query3 = Druids.newTimeseriesQueryBuilder().dataSource(AppenderatorTester.DATASOURCE).aggregators(Arrays.<AggregatorFactory>asList(new LongSumAggregatorFactory("count", "count"), new LongSumAggregatorFactory("met", "met"))).granularity(Granularities.DAY).intervals(new MultipleSpecificSegmentSpec(ImmutableList.of(new SegmentDescriptor(new Interval("2001/PT1H"), IDENTIFIERS.get(2).getVersion(), IDENTIFIERS.get(2).getShardSpec().getPartitionNum()), new SegmentDescriptor(new Interval("2001T03/PT1H"), IDENTIFIERS.get(2).getVersion(), IDENTIFIERS.get(2).getShardSpec().getPartitionNum())))).build();
        final List<Result<TimeseriesResultValue>> results3 = Lists.newArrayList();
        Sequences.toList(query3.run(appenderator, ImmutableMap.<String, Object>of()), results3);
        Assert.assertEquals("query2", ImmutableList.of(new Result<>(new DateTime("2001"), new TimeseriesResultValue(ImmutableMap.<String, Object>of("count", 2L, "met", 72L)))), results3);
    }
}

Example 15 with TimeseriesResultValue

use of io.druid.query.timeseries.TimeseriesResultValue in project druid by druid-io.

the class AppenderatorTest method testQueryByIntervals.

@Test
public void testQueryByIntervals() throws Exception {
    try (final AppenderatorTester tester = new AppenderatorTester(2)) {
        final Appenderator appenderator = tester.getAppenderator();
        appenderator.startJob();
        appenderator.add(IDENTIFIERS.get(0), IR("2000", "foo", 1), Suppliers.ofInstance(Committers.nil()));
        appenderator.add(IDENTIFIERS.get(0), IR("2000", "foo", 2), Suppliers.ofInstance(Committers.nil()));
        appenderator.add(IDENTIFIERS.get(1), IR("2000", "foo", 4), Suppliers.ofInstance(Committers.nil()));
        appenderator.add(IDENTIFIERS.get(2), IR("2001", "foo", 8), Suppliers.ofInstance(Committers.nil()));
        appenderator.add(IDENTIFIERS.get(2), IR("2001T01", "foo", 16), Suppliers.ofInstance(Committers.nil()));
        appenderator.add(IDENTIFIERS.get(2), IR("2001T02", "foo", 32), Suppliers.ofInstance(Committers.nil()));
        appenderator.add(IDENTIFIERS.get(2), IR("2001T03", "foo", 64), Suppliers.ofInstance(Committers.nil()));
        // Query1: 2000/2001
        final TimeseriesQuery query1 = Druids.newTimeseriesQueryBuilder().dataSource(AppenderatorTester.DATASOURCE).intervals(ImmutableList.of(new Interval("2000/2001"))).aggregators(Arrays.<AggregatorFactory>asList(new LongSumAggregatorFactory("count", "count"), new LongSumAggregatorFactory("met", "met"))).granularity(Granularities.DAY).build();
        final List<Result<TimeseriesResultValue>> results1 = Lists.newArrayList();
        Sequences.toList(query1.run(appenderator, ImmutableMap.<String, Object>of()), results1);
        Assert.assertEquals("query1", ImmutableList.of(new Result<>(new DateTime("2000"), new TimeseriesResultValue(ImmutableMap.<String, Object>of("count", 3L, "met", 7L)))), results1);
        // Query2: 2000/2002
        final TimeseriesQuery query2 = Druids.newTimeseriesQueryBuilder().dataSource(AppenderatorTester.DATASOURCE).intervals(ImmutableList.of(new Interval("2000/2002"))).aggregators(Arrays.<AggregatorFactory>asList(new LongSumAggregatorFactory("count", "count"), new LongSumAggregatorFactory("met", "met"))).granularity(Granularities.DAY).build();
        final List<Result<TimeseriesResultValue>> results2 = Lists.newArrayList();
        Sequences.toList(query2.run(appenderator, ImmutableMap.<String, Object>of()), results2);
        Assert.assertEquals("query2", ImmutableList.of(new Result<>(new DateTime("2000"), new TimeseriesResultValue(ImmutableMap.<String, Object>of("count", 3L, "met", 7L))), new Result<>(new DateTime("2001"), new TimeseriesResultValue(ImmutableMap.<String, Object>of("count", 4L, "met", 120L)))), results2);
        // Query3: 2000/2001T01
        final TimeseriesQuery query3 = Druids.newTimeseriesQueryBuilder().dataSource(AppenderatorTester.DATASOURCE).intervals(ImmutableList.of(new Interval("2000/2001T01"))).aggregators(Arrays.<AggregatorFactory>asList(new LongSumAggregatorFactory("count", "count"), new LongSumAggregatorFactory("met", "met"))).granularity(Granularities.DAY).build();
        final List<Result<TimeseriesResultValue>> results3 = Lists.newArrayList();
        Sequences.toList(query3.run(appenderator, ImmutableMap.<String, Object>of()), results3);
        Assert.assertEquals(ImmutableList.of(new Result<>(new DateTime("2000"), new TimeseriesResultValue(ImmutableMap.<String, Object>of("count", 3L, "met", 7L))), new Result<>(new DateTime("2001"), new TimeseriesResultValue(ImmutableMap.<String, Object>of("count", 1L, "met", 8L)))), results3);
        // Query4: 2000/2001T01, 2001T03/2001T04
        final TimeseriesQuery query4 = Druids.newTimeseriesQueryBuilder().dataSource(AppenderatorTester.DATASOURCE).intervals(ImmutableList.of(new Interval("2000/2001T01"), new Interval("2001T03/2001T04"))).aggregators(Arrays.<AggregatorFactory>asList(new LongSumAggregatorFactory("count", "count"), new LongSumAggregatorFactory("met", "met"))).granularity(Granularities.DAY).build();
        final List<Result<TimeseriesResultValue>> results4 = Lists.newArrayList();
        Sequences.toList(query4.run(appenderator, ImmutableMap.<String, Object>of()), results4);
        Assert.assertEquals(ImmutableList.of(new Result<>(new DateTime("2000"), new TimeseriesResultValue(ImmutableMap.<String, Object>of("count", 3L, "met", 7L))), new Result<>(new DateTime("2001"), new TimeseriesResultValue(ImmutableMap.<String, Object>of("count", 2L, "met", 72L)))), results4);
    }
}