Examples with DimensionSpec io.druid.query.dimension.DimensionSpec used on opensource projects

Example 91 with DimensionSpec

use of io.druid.query.dimension.DimensionSpec in project druid by druid-io.

the class GroupByQueryRunnerTest method testMergedHavingSpec.

@Test
public void testMergedHavingSpec() {
    List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "business", "rows", 2L, "idx", 217L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "mezzanine", "rows", 6L, "idx", 4420L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "premium", "rows", 6L, "idx", 4416L));
    GroupByQuery.Builder builder = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.dataSource).setInterval("2011-04-02/2011-04-04").setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("quality", "alias"))).setAggregatorSpecs(Arrays.asList(QueryRunnerTestHelper.rowsCount, new LongSumAggregatorFactory("idx", "index"))).setGranularity(new PeriodGranularity(new Period("P1M"), null, null)).setHavingSpec(new OrHavingSpec(ImmutableList.<HavingSpec>of(new GreaterThanHavingSpec("rows", 2L), new EqualToHavingSpec("idx", 217L))));
    GroupByQuery fullQuery = builder.build();
    QueryRunner mergedRunner = factory.getToolchest().mergeResults(new QueryRunner<Row>() {

        @Override
        public Sequence<Row> run(Query<Row> query, Map<String, Object> responseContext) {
            // simulate two daily segments
            final Query query1 = query.withQuerySegmentSpec(new MultipleIntervalSegmentSpec(Lists.newArrayList(new Interval("2011-04-02/2011-04-03"))));
            final Query query2 = query.withQuerySegmentSpec(new MultipleIntervalSegmentSpec(Lists.newArrayList(new Interval("2011-04-03/2011-04-04"))));
            return new MergeSequence(query.getResultOrdering(), Sequences.simple(Arrays.asList(runner.run(query1, responseContext), runner.run(query2, responseContext))));
        }
    });
    Map<String, Object> context = Maps.newHashMap();
    TestHelper.assertExpectedObjects(expectedResults, mergedRunner.run(fullQuery, context), "merged");
}

Example 92 with DimensionSpec

use of io.druid.query.dimension.DimensionSpec in project druid by druid-io.

the class GroupByQueryRunnerTest method testGroupByWithFirstLast.

@Test
public void testGroupByWithFirstLast() {
    GroupByQuery query = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.dataSource).setQuerySegmentSpec(QueryRunnerTestHelper.fullOnInterval).setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("market", "market"))).setAggregatorSpecs(Arrays.asList(new LongFirstAggregatorFactory("first", "index"), new LongLastAggregatorFactory("last", "index"))).setGranularity(QueryRunnerTestHelper.monthGran).build();
    List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-01-01", "market", "spot", "first", 100L, "last", 155L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-01-01", "market", "total_market", "first", 1000L, "last", 1127L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-01-01", "market", "upfront", "first", 800L, "last", 943L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-02-01", "market", "spot", "first", 132L, "last", 114L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-02-01", "market", "total_market", "first", 1203L, "last", 1292L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-02-01", "market", "upfront", "first", 1667L, "last", 1101L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-01", "market", "spot", "first", 153L, "last", 125L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-01", "market", "total_market", "first", 1124L, "last", 1366L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-01", "market", "upfront", "first", 1166L, "last", 1063L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "market", "spot", "first", 135L, "last", 120L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "market", "total_market", "first", 1314L, "last", 1029L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "market", "upfront", "first", 1447L, "last", 780L));
    Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
    TestHelper.assertExpectedObjects(expectedResults, results, "");
}

Example 93 with DimensionSpec

use of io.druid.query.dimension.DimensionSpec in project druid by druid-io.

the class GroupByQueryRunnerTest method testDimFilterHavingSpec.

@Test
public void testDimFilterHavingSpec() {
    List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "business", "rows", 2L, "idx", 217L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "mezzanine", "rows", 6L, "idx", 4420L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "premium", "rows", 6L, "idx", 4416L));
    final DimFilterHavingSpec havingSpec = new DimFilterHavingSpec(new AndDimFilter(ImmutableList.of(new OrDimFilter(ImmutableList.of(new BoundDimFilter("rows", "2", null, true, false, null, null, StringComparators.NUMERIC), new SelectorDimFilter("idx", "217", null))), new SelectorDimFilter("__time", String.valueOf(new DateTime("2011-04-01").getMillis()), null))));
    GroupByQuery.Builder builder = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.dataSource).setInterval("2011-04-02/2011-04-04").setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("quality", "alias"))).setAggregatorSpecs(Arrays.asList(QueryRunnerTestHelper.rowsCount, new LongSumAggregatorFactory("idx", "index"))).setGranularity(new PeriodGranularity(new Period("P1M"), null, null)).setHavingSpec(havingSpec);
    final GroupByQuery fullQuery = builder.build();
    TestHelper.assertExpectedObjects(expectedResults, GroupByQueryRunnerTestHelper.runQuery(factory, runner, fullQuery), "");
}

Example 94 with DimensionSpec

use of io.druid.query.dimension.DimensionSpec in project druid by druid-io.

the class GroupByQueryRunnerTest method testGroupByCardinalityAggOnFloat.

@Test
public void testGroupByCardinalityAggOnFloat() {
    GroupByQuery query = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.dataSource).setQuerySegmentSpec(QueryRunnerTestHelper.firstToThird).setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("market", "alias"))).setAggregatorSpecs(Arrays.asList(QueryRunnerTestHelper.rowsCount, new CardinalityAggregatorFactory("numVals", ImmutableList.<DimensionSpec>of(new DefaultDimensionSpec(QueryRunnerTestHelper.indexMetric, QueryRunnerTestHelper.indexMetric)), false))).setGranularity(QueryRunnerTestHelper.dayGran).build();
    List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "spot", "rows", 9L, "numVals", 9.019833517963864d), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "total_market", "rows", 2L, "numVals", 2.000977198748901d), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "upfront", "rows", 2L, "numVals", 2.000977198748901d), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "spot", "rows", 9L, "numVals", 9.019833517963864d), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "total_market", "rows", 2L, "numVals", 2.000977198748901d), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "upfront", "rows", 2L, "numVals", 2.000977198748901d));
    Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
    TestHelper.assertExpectedObjects(expectedResults, results, "");
}

Example 95 with DimensionSpec

use of io.druid.query.dimension.DimensionSpec in project druid by druid-io.

the class GroupByQueryRunnerTest method testGroupByWithRebucketRename.

@Test
public void testGroupByWithRebucketRename() {
    Map<String, String> map = new HashMap<>();
    map.put("automotive", "automotive0");
    map.put("business", "business0");
    map.put("entertainment", "entertainment0");
    map.put("health", "health0");
    map.put("mezzanine", "mezzanine0");
    map.put("news", "news0");
    map.put("premium", "premium0");
    map.put("technology", "technology0");
    map.put("travel", "travel0");
    GroupByQuery query = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.dataSource).setQuerySegmentSpec(QueryRunnerTestHelper.firstToThird).setDimensions(Lists.<DimensionSpec>newArrayList(new ExtractionDimensionSpec("quality", "alias", new LookupExtractionFn(new MapLookupExtractor(map, false), false, null, false, false)))).setAggregatorSpecs(Arrays.asList(QueryRunnerTestHelper.rowsCount, new LongSumAggregatorFactory("idx", "index"))).setGranularity(QueryRunnerTestHelper.dayGran).build();
    List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "automotive0", "rows", 1L, "idx", 135L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "business0", "rows", 1L, "idx", 118L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "entertainment0", "rows", 1L, "idx", 158L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "health0", "rows", 1L, "idx", 120L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "mezzanine0", "rows", 3L, "idx", 2870L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "news0", "rows", 1L, "idx", 121L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "premium0", "rows", 3L, "idx", 2900L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "technology0", "rows", 1L, "idx", 78L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "travel0", "rows", 1L, "idx", 119L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "automotive0", "rows", 1L, "idx", 147L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "business0", "rows", 1L, "idx", 112L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "entertainment0", "rows", 1L, "idx", 166L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "health0", "rows", 1L, "idx", 113L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "mezzanine0", "rows", 3L, "idx", 2447L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "news0", "rows", 1L, "idx", 114L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "premium0", "rows", 3L, "idx", 2505L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "technology0", "rows", 1L, "idx", 97L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "travel0", "rows", 1L, "idx", 126L));
    Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
    TestHelper.assertExpectedObjects(expectedResults, results, "");
}