Examples with CountAggregatorFactory io.druid.query.aggregation.CountAggregatorFactory used on opensource projects

Example 21 with CountAggregatorFactory

use of io.druid.query.aggregation.CountAggregatorFactory in project druid by druid-io.

the class MultiValuedDimensionTest method testGroupByNoFilter.

@Test
public void testGroupByNoFilter() throws Exception {
    GroupByQuery query = GroupByQuery.builder().setDataSource("xx").setQuerySegmentSpec(new LegacySegmentSpec("1970/3000")).setGranularity(Granularities.ALL).setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("tags", "tags"))).setAggregatorSpecs(Arrays.asList(new AggregatorFactory[] { new CountAggregatorFactory("count") })).build();
    Sequence<Row> result = helper.runQueryOnSegmentsObjs(ImmutableList.<Segment>of(new QueryableIndexSegment("sid1", queryableIndex), new IncrementalIndexSegment(incrementalIndex, "sid2")), query);
    List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("1970-01-01T00:00:00.000Z", "tags", null, "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow("1970-01-01T00:00:00.000Z", "tags", "t1", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow("1970-01-01T00:00:00.000Z", "tags", "t2", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow("1970-01-01T00:00:00.000Z", "tags", "t3", "count", 4L), GroupByQueryRunnerTestHelper.createExpectedRow("1970-01-01T00:00:00.000Z", "tags", "t4", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow("1970-01-01T00:00:00.000Z", "tags", "t5", "count", 4L), GroupByQueryRunnerTestHelper.createExpectedRow("1970-01-01T00:00:00.000Z", "tags", "t6", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow("1970-01-01T00:00:00.000Z", "tags", "t7", "count", 2L));
    TestHelper.assertExpectedObjects(expectedResults, Sequences.toList(result, new ArrayList<Row>()), "");
}

Example 22 with CountAggregatorFactory

use of io.druid.query.aggregation.CountAggregatorFactory in project druid by druid-io.

the class MultiValuedDimensionTest method testTopNWithDimFilterAndWithFilteredDimSpec.

@Test
public void testTopNWithDimFilterAndWithFilteredDimSpec() throws Exception {
    TopNQuery query = new TopNQueryBuilder().dataSource("xx").granularity(Granularities.ALL).dimension(new ListFilteredDimensionSpec(new DefaultDimensionSpec("tags", "tags"), ImmutableSet.of("t3"), null)).metric("count").intervals(QueryRunnerTestHelper.fullOnInterval).aggregators(Arrays.asList(new AggregatorFactory[] { new CountAggregatorFactory("count") })).threshold(5).filters(new SelectorDimFilter("tags", "t3", null)).build();
    QueryRunnerFactory factory = new TopNQueryRunnerFactory(TestQueryRunners.getPool(), new TopNQueryQueryToolChest(new TopNQueryConfig(), QueryRunnerTestHelper.NoopIntervalChunkingQueryRunnerDecorator()), QueryRunnerTestHelper.NOOP_QUERYWATCHER);
    QueryRunner<Result<TopNResultValue>> runner = QueryRunnerTestHelper.makeQueryRunner(factory, new QueryableIndexSegment("sid1", queryableIndex), null);
    Map<String, Object> context = Maps.newHashMap();
    Sequence<Result<TopNResultValue>> result = runner.run(query, context);
    List<Result<TopNResultValue>> expectedResults = Arrays.asList(new Result<TopNResultValue>(new DateTime("2011-01-12T00:00:00.000Z"), new TopNResultValue(Arrays.<Map<String, Object>>asList(ImmutableMap.<String, Object>of("tags", "t3", "count", 2L)))));
    TestHelper.assertExpectedObjects(expectedResults, Sequences.toList(result, new ArrayList<Result<TopNResultValue>>()), "");
}

Example 23 with CountAggregatorFactory

use of io.druid.query.aggregation.CountAggregatorFactory in project druid by druid-io.

the class MultiValuedDimensionTest method testGroupByWithDimFilter.

@Test
public void testGroupByWithDimFilter() throws Exception {
    GroupByQuery query = GroupByQuery.builder().setDataSource("xx").setQuerySegmentSpec(new LegacySegmentSpec("1970/3000")).setGranularity(Granularities.ALL).setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("tags", "tags"))).setAggregatorSpecs(Arrays.asList(new AggregatorFactory[] { new CountAggregatorFactory("count") })).setDimFilter(new SelectorDimFilter("tags", "t3", null)).build();
    Sequence<Row> result = helper.runQueryOnSegmentsObjs(ImmutableList.<Segment>of(new QueryableIndexSegment("sid1", queryableIndex), new IncrementalIndexSegment(incrementalIndex, "sid2")), query);
    List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("1970-01-01T00:00:00.000Z", "tags", "t1", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow("1970-01-01T00:00:00.000Z", "tags", "t2", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow("1970-01-01T00:00:00.000Z", "tags", "t3", "count", 4L), GroupByQueryRunnerTestHelper.createExpectedRow("1970-01-01T00:00:00.000Z", "tags", "t4", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow("1970-01-01T00:00:00.000Z", "tags", "t5", "count", 2L));
    TestHelper.assertExpectedObjects(expectedResults, Sequences.toList(result, new ArrayList<Row>()), "");
}

Example 24 with CountAggregatorFactory

use of io.druid.query.aggregation.CountAggregatorFactory in project druid by druid-io.

the class TimewarpOperatorTest method testEmptyFutureInterval.

@Test
public void testEmptyFutureInterval() throws Exception {
    QueryRunner<Result<TimeseriesResultValue>> queryRunner = testOperator.postProcess(new QueryRunner<Result<TimeseriesResultValue>>() {

        @Override
        public Sequence<Result<TimeseriesResultValue>> run(Query<Result<TimeseriesResultValue>> query, Map<String, Object> responseContext) {
            return Sequences.simple(ImmutableList.of(new Result<>(query.getIntervals().get(0).getStart(), new TimeseriesResultValue(ImmutableMap.<String, Object>of("metric", 2))), new Result<>(query.getIntervals().get(0).getEnd(), new TimeseriesResultValue(ImmutableMap.<String, Object>of("metric", 3)))));
        }
    }, new DateTime("2014-08-02").getMillis());
    final Query<Result<TimeseriesResultValue>> query = Druids.newTimeseriesQueryBuilder().dataSource("dummy").intervals("2014-08-06/2014-08-08").aggregators(Arrays.<AggregatorFactory>asList(new CountAggregatorFactory("count"))).build();
    Assert.assertEquals(Lists.newArrayList(new Result<>(new DateTime("2014-08-02"), new TimeseriesResultValue(ImmutableMap.<String, Object>of("metric", 2))), new Result<>(new DateTime("2014-08-02"), new TimeseriesResultValue(ImmutableMap.<String, Object>of("metric", 3)))), Sequences.toList(queryRunner.run(query, Maps.<String, Object>newHashMap()), Lists.<Result<TimeseriesResultValue>>newArrayList()));
}

Example 25 with CountAggregatorFactory

use of io.druid.query.aggregation.CountAggregatorFactory in project druid by druid-io.

the class TimewarpOperatorTest method testPostProcess.

@Test
public void testPostProcess() throws Exception {
    QueryRunner<Result<TimeseriesResultValue>> queryRunner = testOperator.postProcess(new QueryRunner<Result<TimeseriesResultValue>>() {

        @Override
        public Sequence<Result<TimeseriesResultValue>> run(Query<Result<TimeseriesResultValue>> query, Map<String, Object> responseContext) {
            return Sequences.simple(ImmutableList.of(new Result<>(new DateTime(new DateTime("2014-01-09")), new TimeseriesResultValue(ImmutableMap.<String, Object>of("metric", 2))), new Result<>(new DateTime(new DateTime("2014-01-11")), new TimeseriesResultValue(ImmutableMap.<String, Object>of("metric", 3))), new Result<>(query.getIntervals().get(0).getEnd(), new TimeseriesResultValue(ImmutableMap.<String, Object>of("metric", 5)))));
        }
    }, new DateTime("2014-08-02").getMillis());
    final Query<Result<TimeseriesResultValue>> query = Druids.newTimeseriesQueryBuilder().dataSource("dummy").intervals("2014-07-31/2014-08-05").aggregators(Arrays.<AggregatorFactory>asList(new CountAggregatorFactory("count"))).build();
    Assert.assertEquals(Lists.newArrayList(new Result<>(new DateTime("2014-07-31"), new TimeseriesResultValue(ImmutableMap.<String, Object>of("metric", 2))), new Result<>(new DateTime("2014-08-02"), new TimeseriesResultValue(ImmutableMap.<String, Object>of("metric", 3))), new Result<>(new DateTime("2014-08-02"), new TimeseriesResultValue(ImmutableMap.<String, Object>of("metric", 5)))), Sequences.toList(queryRunner.run(query, CONTEXT), Lists.<Result<TimeseriesResultValue>>newArrayList()));
    TimewarpOperator<Result<TimeBoundaryResultValue>> timeBoundaryOperator = new TimewarpOperator<>(new Interval(new DateTime("2014-01-01"), new DateTime("2014-01-15")), new Period("P1W"), // align on Monday
    new DateTime("2014-01-06"));
    QueryRunner<Result<TimeBoundaryResultValue>> timeBoundaryRunner = timeBoundaryOperator.postProcess(new QueryRunner<Result<TimeBoundaryResultValue>>() {

        @Override
        public Sequence<Result<TimeBoundaryResultValue>> run(Query<Result<TimeBoundaryResultValue>> query, Map<String, Object> responseContext) {
            return Sequences.simple(ImmutableList.of(new Result<>(new DateTime("2014-01-12"), new TimeBoundaryResultValue(ImmutableMap.<String, Object>of("maxTime", new DateTime("2014-01-12"))))));
        }
    }, new DateTime("2014-08-02").getMillis());
    final Query<Result<TimeBoundaryResultValue>> timeBoundaryQuery = Druids.newTimeBoundaryQueryBuilder().dataSource("dummy").build();
    Assert.assertEquals(Lists.newArrayList(new Result<>(new DateTime("2014-08-02"), new TimeBoundaryResultValue(ImmutableMap.<String, Object>of("maxTime", new DateTime("2014-08-02"))))), Sequences.toList(timeBoundaryRunner.run(timeBoundaryQuery, CONTEXT), Lists.<Result<TimeBoundaryResultValue>>newArrayList()));
}