Examples with ResultRow org.apache.druid.query.groupby.ResultRow used on opensource projects

Example 21 with ResultRow

use of org.apache.druid.query.groupby.ResultRow in project druid by druid-io.

the class MultiValuedDimensionTest method testGroupByExpressionMultiMultiAutoAutoWithFilter.

@Test
public void testGroupByExpressionMultiMultiAutoAutoWithFilter() {
    if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
        expectedException.expect(RuntimeException.class);
        expectedException.expectMessage("GroupBy v1 does not support dimension selectors with unknown cardinality.");
    }
    GroupByQuery query = GroupByQuery.builder().setDataSource("xx").setQuerySegmentSpec(new LegacySegmentSpec("1970/3000")).setGranularity(Granularities.ALL).setDimensions(new DefaultDimensionSpec("texpr", "texpr")).setVirtualColumns(new ExpressionVirtualColumn("texpr", "concat(tags, othertags)", ColumnType.STRING, TestExprMacroTable.INSTANCE)).setDimFilter(new SelectorDimFilter("texpr", "t1u1", null)).setLimit(5).setAggregatorSpecs(new CountAggregatorFactory("count")).setContext(context).build();
    Sequence<ResultRow> result = helper.runQueryOnSegmentsObjs(ImmutableList.of(new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")), new IncrementalIndexSegment(incrementalIndex, SegmentId.dummy("sid2"))), query);
    List<ResultRow> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t1u1", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t1u2", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t2u1", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t2u2", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t3u1", "count", 2L));
    TestHelper.assertExpectedObjects(expectedResults, result.toList(), "expr-multi-multi-auto-auto");
}

Example 22 with ResultRow

use of org.apache.druid.query.groupby.ResultRow in project druid by druid-io.

the class MultiValuedDimensionTest method testGroupByExpressionMultiMultiAutoAuto.

@Test
public void testGroupByExpressionMultiMultiAutoAuto() {
    if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
        expectedException.expect(RuntimeException.class);
        expectedException.expectMessage("GroupBy v1 does not support dimension selectors with unknown cardinality.");
    }
    GroupByQuery query = GroupByQuery.builder().setDataSource("xx").setQuerySegmentSpec(new LegacySegmentSpec("1970/3000")).setGranularity(Granularities.ALL).setDimensions(new DefaultDimensionSpec("texpr", "texpr")).setVirtualColumns(new ExpressionVirtualColumn("texpr", "concat(tags, othertags)", ColumnType.STRING, TestExprMacroTable.INSTANCE)).setLimit(5).setAggregatorSpecs(new CountAggregatorFactory("count")).setContext(context).build();
    Sequence<ResultRow> result = helper.runQueryOnSegmentsObjs(ImmutableList.of(new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")), new IncrementalIndexSegment(incrementalIndex, SegmentId.dummy("sid2"))), query);
    List<ResultRow> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t1u1", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t1u2", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t2u1", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t2u2", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t3u1", "count", 2L));
    TestHelper.assertExpectedObjects(expectedResults, result.toList(), "expr-multi-multi-auto-auto");
}

Example 23 with ResultRow

use of org.apache.druid.query.groupby.ResultRow in project druid by druid-io.

the class MultiValuedDimensionTest method testGroupByExpressionArrayExpressionFilter.

@Test
public void testGroupByExpressionArrayExpressionFilter() {
    if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
        expectedException.expect(RuntimeException.class);
        expectedException.expectMessage("GroupBy v1 only supports dimensions with an outputType of STRING.");
    }
    GroupByQuery query = GroupByQuery.builder().setDataSource("xx").setQuerySegmentSpec(new LegacySegmentSpec("1970/3000")).setGranularity(Granularities.ALL).setDimensions(new DefaultDimensionSpec("tt", "tt", ColumnType.LONG)).setVirtualColumns(new ExpressionVirtualColumn("tt", "array_offset_of(tags, 't2')", ColumnType.LONG, TestExprMacroTable.INSTANCE)).setAggregatorSpecs(new CountAggregatorFactory("count")).setContext(context).build();
    Sequence<ResultRow> result = helper.runQueryOnSegmentsObjs(ImmutableList.of(new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")), new IncrementalIndexSegment(incrementalIndex, SegmentId.dummy("sid2"))), query);
    List<ResultRow> expectedResults;
    if (NullHandling.replaceWithDefault()) {
        expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", -1L, "count", 4L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", 0L, "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", 1L, "count", 2L));
    } else {
        expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", null, "count", 6L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", 1L, "count", 2L));
    }
    TestHelper.assertExpectedObjects(expectedResults, result.toList(), "expr-auto");
}

Example 24 with ResultRow

use of org.apache.druid.query.groupby.ResultRow in project druid by druid-io.

the class MultiValuedDimensionTest method testGroupByExpressionAuto.

@Test
public void testGroupByExpressionAuto() {
    // virtual column is a single input column and input is not used explicitly as an array,
    // so this one will work for group by v1, even with multi-value inputs
    GroupByQuery query = GroupByQuery.builder().setDataSource("xx").setQuerySegmentSpec(new LegacySegmentSpec("1970/3000")).setGranularity(Granularities.ALL).setDimensions(new DefaultDimensionSpec("tt", "tt")).setVirtualColumns(new ExpressionVirtualColumn("tt", "concat(tags, 'foo')", ColumnType.STRING, TestExprMacroTable.INSTANCE)).setAggregatorSpecs(new CountAggregatorFactory("count")).setContext(context).build();
    Sequence<ResultRow> result = helper.runQueryOnSegmentsObjs(ImmutableList.of(new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")), new IncrementalIndexSegment(incrementalIndex, SegmentId.dummy("sid2"))), query);
    List<ResultRow> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "foo", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "t1foo", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "t2foo", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "t3foo", "count", 4L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "t4foo", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "t5foo", "count", 4L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "t6foo", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "t7foo", "count", 2L));
    TestHelper.assertExpectedObjects(expectedResults, result.toList(), "expr-auto");
}

Example 25 with ResultRow

use of org.apache.druid.query.groupby.ResultRow in project druid by druid-io.

the class MultiValuedDimensionTest method testGroupByExpressionArrayFnArg.

@Test
public void testGroupByExpressionArrayFnArg() {
    if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
        expectedException.expect(RuntimeException.class);
        expectedException.expectMessage("GroupBy v1 does not support dimension selectors with unknown cardinality.");
    }
    GroupByQuery query = GroupByQuery.builder().setDataSource("xx").setQuerySegmentSpec(new LegacySegmentSpec("1970/3000")).setGranularity(Granularities.ALL).setDimensions(new DefaultDimensionSpec("tt", "tt")).setVirtualColumns(new ExpressionVirtualColumn("tt", "array_to_string(map(tags -> concat('foo', tags), tags), ', ')", ColumnType.STRING, TestExprMacroTable.INSTANCE)).setAggregatorSpecs(new CountAggregatorFactory("count")).setContext(context).build();
    Sequence<ResultRow> result = helper.runQueryOnSegmentsObjs(ImmutableList.of(new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")), new IncrementalIndexSegment(incrementalIndex, SegmentId.dummy("sid2"))), query);
    List<ResultRow> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", NullHandling.replaceWithDefault() ? null : "foo", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "foot1, foot2, foot3", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "foot3, foot4, foot5", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "tt", "foot5, foot6, foot7", "count", 2L));
    TestHelper.assertExpectedObjects(expectedResults, result.toList(), "expr-array-fn");
}