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

Example 91 with DefaultDimensionSpec

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

the class GroupByQueryRunnerTest method testGroupByWithHavingSpecOnLongAndFloat.

@Test
public void testGroupByWithHavingSpecOnLongAndFloat() {
    if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
        expectedException.expect(UnsupportedOperationException.class);
        expectedException.expectMessage("GroupBy v1 only supports dimensions with an outputType of STRING.");
    }
    GroupByQuery query = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.dataSource).setQuerySegmentSpec(QueryRunnerTestHelper.firstToThird).setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("market", "alias"), new DefaultDimensionSpec("qualityLong", "ql_alias", ValueType.LONG), new DefaultDimensionSpec("__time", "time_alias", ValueType.LONG), new DefaultDimensionSpec("index", "index_alias", ValueType.FLOAT))).setAggregatorSpecs(Arrays.<AggregatorFactory>asList(QueryRunnerTestHelper.rowsCount)).setHavingSpec(new DimFilterHavingSpec(new AndDimFilter(Lists.<DimFilter>newArrayList(new SelectorDimFilter("ql_alias", "1400", null), new SelectorDimFilter("time_alias", "1301616000000", null), new BoundDimFilter("index_alias", "1310.0", "1320.0", true, true, null, null, StringComparators.NUMERIC))))).setGranularity(QueryRunnerTestHelper.allGran).build();
    List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "total_market", "time_alias", 1301616000000L, "index_alias", 1314.8397, "ql_alias", 1400L, "rows", 1L));
    Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
    TestHelper.assertExpectedObjects(expectedResults, results, "");
}

Example 92 with DefaultDimensionSpec

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

the class GroupByQueryRunnerTest method testHavingSpec.

@Test
public void testHavingSpec() {
    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))));
    final GroupByQuery fullQuery = builder.build();
    TestHelper.assertExpectedObjects(expectedResults, GroupByQueryRunnerTestHelper.runQuery(factory, runner, fullQuery), "");
}

Example 93 with DefaultDimensionSpec

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

the class GroupByQueryRunnerTest method testGroupByTimeExtractionNamedUnderUnderTime.

@Test
public void testGroupByTimeExtractionNamedUnderUnderTime() {
    expectedException.expect(IAE.class);
    expectedException.expectMessage("'__time' cannot be used as an output name for dimensions, aggregators, or post-aggregators.");
    GroupByQuery query = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.dataSource).setQuerySegmentSpec(QueryRunnerTestHelper.fullOnInterval).setDimensions(Lists.newArrayList(new DefaultDimensionSpec("market", "market"), new ExtractionDimensionSpec(Column.TIME_COLUMN_NAME, Column.TIME_COLUMN_NAME, new TimeFormatExtractionFn("EEEE", null, null, null, false)))).setAggregatorSpecs(Arrays.asList(QueryRunnerTestHelper.rowsCount, QueryRunnerTestHelper.indexDoubleSum)).setPostAggregatorSpecs(Arrays.<PostAggregator>asList(QueryRunnerTestHelper.addRowsIndexConstant)).setGranularity(QueryRunnerTestHelper.allGran).setDimFilter(new OrDimFilter(Arrays.<DimFilter>asList(new SelectorDimFilter("market", "spot", null), new SelectorDimFilter("market", "upfront", null)))).setLimitSpec(new DefaultLimitSpec(ImmutableList.<OrderByColumnSpec>of(), 1)).build();
}

Example 94 with DefaultDimensionSpec

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

the class GroupByQueryRunnerTest method testMergeResults.

@Test
public void testMergeResults() {
    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));
    final GroupByQuery fullQuery = builder.build();
    final GroupByQuery allGranQuery = builder.copy().setGranularity(Granularities.ALL).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))));
        }
    });
    List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "automotive", "rows", 2L, "idx", 269L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "business", "rows", 2L, "idx", 217L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "entertainment", "rows", 2L, "idx", 319L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "health", "rows", 2L, "idx", 216L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "mezzanine", "rows", 6L, "idx", 4420L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "news", "rows", 2L, "idx", 221L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "premium", "rows", 6L, "idx", 4416L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "technology", "rows", 2L, "idx", 177L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "travel", "rows", 2L, "idx", 243L));
    Map<String, Object> context = Maps.newHashMap();
    TestHelper.assertExpectedObjects(expectedResults, mergedRunner.run(fullQuery, context), "merged");
    List<Row> allGranExpectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "automotive", "rows", 2L, "idx", 269L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "business", "rows", 2L, "idx", 217L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "entertainment", "rows", 2L, "idx", 319L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "health", "rows", 2L, "idx", 216L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "mezzanine", "rows", 6L, "idx", 4420L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "news", "rows", 2L, "idx", 221L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "premium", "rows", 6L, "idx", 4416L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "technology", "rows", 2L, "idx", 177L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "travel", "rows", 2L, "idx", 243L));
    TestHelper.assertExpectedObjects(allGranExpectedResults, mergedRunner.run(allGranQuery, context), "merged");
}

Example 95 with DefaultDimensionSpec

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

the class GroupByQueryRunnerTest method testGroupByLongColumn.

@Test
public void testGroupByLongColumn() {
    if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
        expectedException.expect(UnsupportedOperationException.class);
        expectedException.expectMessage("GroupBy v1 only supports dimensions with an outputType of STRING.");
    }
    GroupByQuery query = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.dataSource).setQuerySegmentSpec(QueryRunnerTestHelper.firstToThird).setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("qualityLong", "ql_alias", ValueType.LONG))).setDimFilter(new SelectorDimFilter("quality", "entertainment", null)).setAggregatorSpecs(Arrays.asList(QueryRunnerTestHelper.rowsCount, new LongSumAggregatorFactory("idx", "index"))).addOrderByColumn(new OrderByColumnSpec("ql_alias", OrderByColumnSpec.Direction.ASCENDING, StringComparators.NUMERIC)).setGranularity(QueryRunnerTestHelper.dayGran).build();
    assertEquals(Functions.<Sequence<Row>>identity(), query.getLimitSpec().build(query.getDimensions(), query.getAggregatorSpecs(), query.getPostAggregatorSpecs()));
    List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "ql_alias", 1200L, "rows", 1L, "idx", 158L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "ql_alias", 1200L, "rows", 1L, "idx", 166L));
    Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
    TestHelper.assertExpectedObjects(expectedResults, results, "");
}