Examples with FloatSumAggregatorFactory org.apache.druid.query.aggregation.FloatSumAggregatorFactory used on opensource projects

Example 6 with FloatSumAggregatorFactory

use of org.apache.druid.query.aggregation.FloatSumAggregatorFactory in project druid by druid-io.

the class GroupByQueryRunnerTest method testGroupByWithSubtotalsSpecWithRenamedDimensionAndFilter.

// https://github.com/apache/druid/issues/7820
@Test
public void testGroupByWithSubtotalsSpecWithRenamedDimensionAndFilter() {
    if (!config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V2)) {
        return;
    }
    GroupByQuery query = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setVirtualColumns(new ExpressionVirtualColumn("alias", "quality", ColumnType.STRING, TestExprMacroTable.INSTANCE)).setDimensions(Lists.newArrayList(new DefaultDimensionSpec("quality", "quality"), new DefaultDimensionSpec("market", "market"), new DefaultDimensionSpec("alias", "alias_renamed"))).setAggregatorSpecs(Arrays.asList(QueryRunnerTestHelper.ROWS_COUNT, new LongSumAggregatorFactory("idx", "index"), new FloatSumAggregatorFactory("idxFloat", "indexFloat"), new DoubleSumAggregatorFactory("idxDouble", "index"))).setDimFilter(new SelectorDimFilter("alias", "automotive", null)).setGranularity(QueryRunnerTestHelper.DAY_GRAN).setSubtotalsSpec(ImmutableList.of(ImmutableList.of("alias_renamed"), ImmutableList.of())).build();
    List<ResultRow> expectedResults = Arrays.asList(makeRow(query, "2011-04-01", "alias_renamed", "automotive", "rows", 1L, "idx", 135L, "idxFloat", 135.88510131835938f, "idxDouble", 135.88510131835938d), makeRow(query, "2011-04-02", "alias_renamed", "automotive", "rows", 1L, "idx", 147L, "idxFloat", 147.42593f, "idxDouble", 147.42593d), makeRow(query, "2011-04-01T00:00:00.000Z", "rows", 1L, "idx", 135L, "idxFloat", 135.88510131835938f, "idxDouble", 135.88510131835938d), makeRow(query, "2011-04-02T00:00:00.000Z", "rows", 1L, "idx", 147L, "idxFloat", 147.42593f, "idxDouble", 147.42593d));
    Iterable<ResultRow> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
    TestHelper.assertExpectedObjects(expectedResults, results, "subtotal");
}

Example 7 with FloatSumAggregatorFactory

use of org.apache.druid.query.aggregation.FloatSumAggregatorFactory in project druid by druid-io.

the class GroupByQueryRunnerTest method testGroupBy.

@Test
public void testGroupBy() {
    GroupByQuery query = makeQueryBuilder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec("quality", "alias")).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT, new LongSumAggregatorFactory("idx", "index"), new FloatSumAggregatorFactory("idxFloat", "indexFloat"), new DoubleSumAggregatorFactory("idxDouble", "index")).setGranularity(QueryRunnerTestHelper.DAY_GRAN).build();
    List<ResultRow> expectedResults = Arrays.asList(makeRow(query, "2011-04-01", "alias", "automotive", "rows", 1L, "idx", 135L, "idxFloat", 135.88510131835938f, "idxDouble", 135.88510131835938d), makeRow(query, "2011-04-01", "alias", "business", "rows", 1L, "idx", 118L, "idxFloat", 118.57034, "idxDouble", 118.57034), makeRow(query, "2011-04-01", "alias", "entertainment", "rows", 1L, "idx", 158L, "idxFloat", 158.747224, "idxDouble", 158.747224), makeRow(query, "2011-04-01", "alias", "health", "rows", 1L, "idx", 120L, "idxFloat", 120.134704, "idxDouble", 120.134704), makeRow(query, "2011-04-01", "alias", "mezzanine", "rows", 3L, "idx", 2870L, "idxFloat", 2871.8866900000003f, "idxDouble", 2871.8866900000003d), makeRow(query, "2011-04-01", "alias", "news", "rows", 1L, "idx", 121L, "idxFloat", 121.58358f, "idxDouble", 121.58358d), makeRow(query, "2011-04-01", "alias", "premium", "rows", 3L, "idx", 2900L, "idxFloat", 2900.798647f, "idxDouble", 2900.798647d), makeRow(query, "2011-04-01", "alias", "technology", "rows", 1L, "idx", 78L, "idxFloat", 78.622547f, "idxDouble", 78.622547d), makeRow(query, "2011-04-01", "alias", "travel", "rows", 1L, "idx", 119L, "idxFloat", 119.922742f, "idxDouble", 119.922742d), makeRow(query, "2011-04-02", "alias", "automotive", "rows", 1L, "idx", 147L, "idxFloat", 147.42593f, "idxDouble", 147.42593d), makeRow(query, "2011-04-02", "alias", "business", "rows", 1L, "idx", 112L, "idxFloat", 112.987027f, "idxDouble", 112.987027d), makeRow(query, "2011-04-02", "alias", "entertainment", "rows", 1L, "idx", 166L, "idxFloat", 166.016049f, "idxDouble", 166.016049d), makeRow(query, "2011-04-02", "alias", "health", "rows", 1L, "idx", 113L, "idxFloat", 113.446008f, "idxDouble", 113.446008d), makeRow(query, "2011-04-02", "alias", "mezzanine", "rows", 3L, "idx", 2447L, "idxFloat", 2448.830613f, "idxDouble", 2448.830613d), makeRow(query, "2011-04-02", "alias", "news", "rows", 1L, "idx", 114L, "idxFloat", 114.290141f, "idxDouble", 114.290141d), makeRow(query, "2011-04-02", "alias", "premium", "rows", 3L, "idx", 2505L, "idxFloat", 2506.415148f, "idxDouble", 2506.415148d), makeRow(query, "2011-04-02", "alias", "technology", "rows", 1L, "idx", 97L, "idxFloat", 97.387433f, "idxDouble", 97.387433d), makeRow(query, "2011-04-02", "alias", "travel", "rows", 1L, "idx", 126L, "idxFloat", 126.411364f, "idxDouble", 126.411364d));
    Iterable<ResultRow> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
    TestHelper.assertExpectedObjects(expectedResults, results, "groupBy");
}

Example 8 with FloatSumAggregatorFactory

use of org.apache.druid.query.aggregation.FloatSumAggregatorFactory in project druid by druid-io.

the class FieldAccessPostAggregatorTest method testResultArraySignature.

@Test
public void testResultArraySignature() {
    final TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource("dummy").intervals("2000/3000").granularity(Granularities.HOUR).aggregators(new CountAggregatorFactory("count"), new DoubleSumAggregatorFactory("double", "col1"), new FloatSumAggregatorFactory("float", "col2")).postAggregators(new FieldAccessPostAggregator("a", "count"), new FieldAccessPostAggregator("b", "double"), new FieldAccessPostAggregator("c", "float")).build();
    Assert.assertEquals(RowSignature.builder().addTimeColumn().add("count", ColumnType.LONG).add("double", ColumnType.DOUBLE).add("float", ColumnType.FLOAT).add("a", ColumnType.LONG).add("b", ColumnType.DOUBLE).add("c", ColumnType.FLOAT).build(), new TimeseriesQueryQueryToolChest().resultArraySignature(query));
}

Example 9 with FloatSumAggregatorFactory

use of org.apache.druid.query.aggregation.FloatSumAggregatorFactory in project druid by druid-io.

the class ExpressionPostAggregatorTest method testResultArraySignature.

@Test
public void testResultArraySignature() {
    final TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource("dummy").intervals("2000/3000").granularity(Granularities.HOUR).aggregators(new CountAggregatorFactory("count"), new DoubleSumAggregatorFactory("double", "col1"), new FloatSumAggregatorFactory("float", "col2")).postAggregators(new ExpressionPostAggregator("a", "double + float", null, TestExprMacroTable.INSTANCE), new ExpressionPostAggregator("b", "count + count", null, TestExprMacroTable.INSTANCE), new ExpressionPostAggregator("c", "count + double", null, TestExprMacroTable.INSTANCE), new ExpressionPostAggregator("d", "float + float", null, TestExprMacroTable.INSTANCE)).build();
    Assert.assertEquals(RowSignature.builder().addTimeColumn().add("count", ColumnType.LONG).add("double", ColumnType.DOUBLE).add("float", ColumnType.FLOAT).add("a", ColumnType.DOUBLE).add("b", ColumnType.LONG).add("c", ColumnType.DOUBLE).add("d", // floats don't exist in expressions
    ColumnType.DOUBLE).build(), new TimeseriesQueryQueryToolChest().resultArraySignature(query));
}