Examples with DefaultDimensionSpec org.apache.druid.query.dimension.DefaultDimensionSpec used on opensource projects

Example 61 with DefaultDimensionSpec

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

the class GroupByQueryRunnerTest method testGroupByWithExpressionAggregator.

@Test
public void testGroupByWithExpressionAggregator() {
    // expression agg not yet vectorized
    cannotVectorize();
    GroupByQuery query = makeQueryBuilder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec("quality", "alias")).setAggregatorSpecs(new ExpressionLambdaAggregatorFactory("rows", Collections.emptySet(), null, "0", null, false, false, false, "__acc + 1", "__acc + rows", null, null, null, TestExprMacroTable.INSTANCE), new ExpressionLambdaAggregatorFactory("idx", ImmutableSet.of("index"), null, "0.0", null, null, false, false, "__acc + index", null, null, null, null, TestExprMacroTable.INSTANCE)).setGranularity(QueryRunnerTestHelper.DAY_GRAN).build();
    List<ResultRow> expectedResults = Arrays.asList(makeRow(query, "2011-04-01", "alias", "automotive", "rows", 1L, "idx", 135.88510131835938d), makeRow(query, "2011-04-01", "alias", "business", "rows", 1L, "idx", 118.57034), makeRow(query, "2011-04-01", "alias", "entertainment", "rows", 1L, "idx", 158.747224), makeRow(query, "2011-04-01", "alias", "health", "rows", 1L, "idx", 120.134704), makeRow(query, "2011-04-01", "alias", "mezzanine", "rows", 3L, "idx", 2871.8866900000003d), makeRow(query, "2011-04-01", "alias", "news", "rows", 1L, "idx", 121.58358d), makeRow(query, "2011-04-01", "alias", "premium", "rows", 3L, "idx", 2900.798647d), makeRow(query, "2011-04-01", "alias", "technology", "rows", 1L, "idx", 78.622547d), makeRow(query, "2011-04-01", "alias", "travel", "rows", 1L, "idx", 119.922742d), makeRow(query, "2011-04-02", "alias", "automotive", "rows", 1L, "idx", 147.42593d), makeRow(query, "2011-04-02", "alias", "business", "rows", 1L, "idx", 112.987027d), makeRow(query, "2011-04-02", "alias", "entertainment", "rows", 1L, "idx", 166.016049d), makeRow(query, "2011-04-02", "alias", "health", "rows", 1L, "idx", 113.446008d), makeRow(query, "2011-04-02", "alias", "mezzanine", "rows", 3L, "idx", 2448.830613d), makeRow(query, "2011-04-02", "alias", "news", "rows", 1L, "idx", 114.290141d), makeRow(query, "2011-04-02", "alias", "premium", "rows", 3L, "idx", 2506.415148d), makeRow(query, "2011-04-02", "alias", "technology", "rows", 1L, "idx", 97.387433d), makeRow(query, "2011-04-02", "alias", "travel", "rows", 1L, "idx", 126.411364d));
    Iterable<ResultRow> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
    TestHelper.assertExpectedObjects(expectedResults, results, "groupBy");
}

Example 62 with DefaultDimensionSpec

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

the class GroupByQueryRunnerTest method testGroupByNestedWithInnerQueryNumericsWithLongTime.

@Test
public void testGroupByNestedWithInnerQueryNumericsWithLongTime() {
    if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
        expectedException.expect(UnsupportedOperationException.class);
        expectedException.expectMessage("GroupBy v1 only supports dimensions with an outputType of STRING.");
    }
    GroupByQuery subQuery = makeQueryBuilder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec("market", "alias"), new DefaultDimensionSpec("__time", "time_alias", ColumnType.LONG), new DefaultDimensionSpec("index", "index_alias", ColumnType.FLOAT)).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT).setGranularity(QueryRunnerTestHelper.ALL_GRAN).build();
    GroupByQuery outerQuery = makeQueryBuilder().setDataSource(subQuery).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec("alias", "market"), new DefaultDimensionSpec("time_alias", "time_alias2", ColumnType.LONG)).setAggregatorSpecs(new LongMaxAggregatorFactory("time_alias_max", "time_alias"), new DoubleMaxAggregatorFactory("index_alias_max", "index_alias")).setGranularity(QueryRunnerTestHelper.ALL_GRAN).build();
    List<ResultRow> expectedResults = Arrays.asList(makeRow(outerQuery, "2011-04-01", "market", "spot", "time_alias2", 1301616000000L, "time_alias_max", 1301616000000L, "index_alias_max", 158.74722290039062), makeRow(outerQuery, "2011-04-01", "market", "spot", "time_alias2", 1301702400000L, "time_alias_max", 1301702400000L, "index_alias_max", 166.01605224609375), makeRow(outerQuery, "2011-04-01", "market", "total_market", "time_alias2", 1301616000000L, "time_alias_max", 1301616000000L, "index_alias_max", 1522.043701171875), makeRow(outerQuery, "2011-04-01", "market", "total_market", "time_alias2", 1301702400000L, "time_alias_max", 1301702400000L, "index_alias_max", 1321.375), makeRow(outerQuery, "2011-04-01", "market", "upfront", "time_alias2", 1301616000000L, "time_alias_max", 1301616000000L, "index_alias_max", 1447.3411865234375), makeRow(outerQuery, "2011-04-01", "market", "upfront", "time_alias2", 1301702400000L, "time_alias_max", 1301702400000L, "index_alias_max", 1144.3424072265625));
    Iterable<ResultRow> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, outerQuery);
    TestHelper.assertExpectedObjects(expectedResults, results, "numerics");
}

Example 63 with DefaultDimensionSpec

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

the class GroupByQueryRunnerTest method testGroupByNestedDoubleTimeExtractionFnWithLongOutputTypes.

@Test
public void testGroupByNestedDoubleTimeExtractionFnWithLongOutputTypes() {
    // Cannot vectorize due to extraction dimension spec.
    cannotVectorize();
    if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
        expectedException.expect(UnsupportedOperationException.class);
        expectedException.expectMessage("GroupBy v1 only supports dimensions with an outputType of STRING.");
    }
    GroupByQuery subquery = makeQueryBuilder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec("quality", "alias"), new ExtractionDimensionSpec(ColumnHolder.TIME_COLUMN_NAME, "time_day", ColumnType.LONG, new TimeFormatExtractionFn(null, null, null, Granularities.DAY, true))).setDimFilter(new SelectorDimFilter("quality", "technology", null)).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT).setGranularity(QueryRunnerTestHelper.DAY_GRAN).build();
    GroupByQuery outerQuery = makeQueryBuilder().setDataSource(subquery).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec("alias", "alias"), new ExtractionDimensionSpec("time_day", "time_week", ColumnType.LONG, new TimeFormatExtractionFn(null, null, null, Granularities.WEEK, true))).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT).setGranularity(QueryRunnerTestHelper.ALL_GRAN).build();
    List<ResultRow> expectedResults = Collections.singletonList(makeRow(outerQuery, "2011-04-01", "alias", "technology", "time_week", 1301270400000L, "rows", 2L));
    Iterable<ResultRow> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, outerQuery);
    TestHelper.assertExpectedObjects(expectedResults, results, "extraction-fn");
}

Example 64 with DefaultDimensionSpec

use of org.apache.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 = makeQueryBuilder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec("market", "alias"), new DefaultDimensionSpec("qualityLong", "ql_alias", ColumnType.LONG), new DefaultDimensionSpec("__time", "time_alias", ColumnType.LONG), new DefaultDimensionSpec("index", "index_alias", ColumnType.FLOAT)).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT).setHavingSpec(new DimFilterHavingSpec(new AndDimFilter(Lists.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))), null)).setGranularity(QueryRunnerTestHelper.ALL_GRAN).build();
    List<ResultRow> expectedResults = Collections.singletonList(makeRow(query, "2011-04-01", "alias", "total_market", "time_alias", 1301616000000L, "index_alias", 1314.8397, "ql_alias", 1400L, "rows", 1L));
    Iterable<ResultRow> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
    TestHelper.assertExpectedObjects(expectedResults, results, "havingspec-long-float");
}

Example 65 with DefaultDimensionSpec

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

the class GroupByQueryRunnerTest method testGroupByWithOutputNameCollisions.

@Test
public void testGroupByWithOutputNameCollisions() {
    expectedException.expect(IllegalArgumentException.class);
    expectedException.expectMessage("[alias] already defined");
    makeQueryBuilder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec("quality", "alias")).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT, new LongSumAggregatorFactory("alias", "index")).setGranularity(QueryRunnerTestHelper.DAY_GRAN).build();
}