Examples with Result io.druid.query.Result used on opensource projects

Example 86 with Result

use of io.druid.query.Result 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 87 with Result

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

the class AppendTest method testFilteredSearch.

@Test
public void testFilteredSearch() {
    List<Result<SearchResultValue>> expectedResults = Arrays.asList(new Result<SearchResultValue>(new DateTime("2011-01-12T00:00:00.000Z"), new SearchResultValue(Arrays.<SearchHit>asList(new SearchHit(placementDimension, "mezzanine"), new SearchHit(marketDimension, "total_market")))));
    SearchQuery query = makeFilteredSearchQuery();
    QueryRunner runner = TestQueryRunners.makeSearchQueryRunner(segment);
    HashMap<String, Object> context = new HashMap<String, Object>();
    TestHelper.assertExpectedResults(expectedResults, runner.run(query, context));
}

Example 88 with Result

use of io.druid.query.Result 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 89 with Result

use of io.druid.query.Result 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 90 with Result

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

the class TimeseriesQueryRunnerTest method testTimeseriesWithInvertedFilterOnNonExistentDimension.

@Test
public void testTimeseriesWithInvertedFilterOnNonExistentDimension() {
    TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource(QueryRunnerTestHelper.dataSource).granularity(QueryRunnerTestHelper.dayGran).filters(new NotDimFilter(new SelectorDimFilter("bobby", "sally", null))).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", 13L, "index", 6626.151596069336, "addRowsIndexConstant", 6640.151596069336, "uniques", QueryRunnerTestHelper.UNIQUES_9))), new Result<>(new DateTime("2011-04-02"), new TimeseriesResultValue(ImmutableMap.<String, Object>of("rows", 13L, "index", 5833.2095947265625, "addRowsIndexConstant", 5847.2095947265625, "uniques", QueryRunnerTestHelper.UNIQUES_9))));
    Iterable<Result<TimeseriesResultValue>> results = Sequences.toList(runner.run(query, new HashMap<String, Object>()), Lists.<Result<TimeseriesResultValue>>newArrayList());
    assertExpectedResults(expectedResults, results);
}