use of io.druid.query.groupby.orderby.OrderByColumnSpec in project druid by druid-io.
the class GroupByQueryRunnerTest method testGroupByWithOrderLimit4.
@Test
public void testGroupByWithOrderLimit4() {
GroupByQuery query = new GroupByQuery.Builder().setDataSource(QueryRunnerTestHelper.dataSource).setGranularity(QueryRunnerTestHelper.allGran).setDimensions(Arrays.<DimensionSpec>asList(new DefaultDimensionSpec(QueryRunnerTestHelper.marketDimension, QueryRunnerTestHelper.marketDimension))).setInterval(QueryRunnerTestHelper.fullOnInterval).setLimitSpec(new DefaultLimitSpec(Lists.newArrayList(new OrderByColumnSpec(QueryRunnerTestHelper.marketDimension, OrderByColumnSpec.Direction.DESCENDING)), 3)).setAggregatorSpecs(Lists.<AggregatorFactory>newArrayList(QueryRunnerTestHelper.rowsCount)).build();
List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("1970-01-01T00:00:00.000Z", "market", "upfront", "rows", 186L), GroupByQueryRunnerTestHelper.createExpectedRow("1970-01-01T00:00:00.000Z", "market", "total_market", "rows", 186L), GroupByQueryRunnerTestHelper.createExpectedRow("1970-01-01T00:00:00.000Z", "market", "spot", "rows", 837L));
Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
TestHelper.assertExpectedObjects(expectedResults, results, "order-limit");
}
use of io.druid.query.groupby.orderby.OrderByColumnSpec in project druid by druid-io.
the class GroupByQueryRunnerTest method testGroupByFloatColumn.
@Test
public void testGroupByFloatColumn() {
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("index", "index_alias", ValueType.FLOAT))).setDimFilter(new SelectorDimFilter("quality", "entertainment", null)).setAggregatorSpecs(Arrays.asList(QueryRunnerTestHelper.rowsCount, new LongSumAggregatorFactory("idx", "index"))).addOrderByColumn(new OrderByColumnSpec("index_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", "index_alias", 158.747224f, "rows", 1L, "idx", 158L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "index_alias", 166.016049f, "rows", 1L, "idx", 166L));
Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
TestHelper.assertExpectedObjects(expectedResults, results, "");
}
use of io.druid.query.groupby.orderby.OrderByColumnSpec 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, "");
}
use of io.druid.query.groupby.orderby.OrderByColumnSpec in project druid by druid-io.
the class GroupByQueryRunnerTest method testGroupByWithHavingOnFinalizedHyperUnique.
@Test
public void testGroupByWithHavingOnFinalizedHyperUnique() {
GroupByQuery query = new GroupByQuery.Builder().setDataSource(QueryRunnerTestHelper.dataSource).setGranularity(QueryRunnerTestHelper.allGran).setDimensions(Arrays.<DimensionSpec>asList(new DefaultDimensionSpec(QueryRunnerTestHelper.marketDimension, QueryRunnerTestHelper.marketDimension))).setInterval(QueryRunnerTestHelper.fullOnInterval).setLimitSpec(new DefaultLimitSpec(Lists.newArrayList(new OrderByColumnSpec(QueryRunnerTestHelper.hyperUniqueFinalizingPostAggMetric, OrderByColumnSpec.Direction.DESCENDING)), 3)).setHavingSpec(new GreaterThanHavingSpec(QueryRunnerTestHelper.hyperUniqueFinalizingPostAggMetric, 8)).setAggregatorSpecs(Lists.<AggregatorFactory>newArrayList(QueryRunnerTestHelper.qualityUniques)).setPostAggregatorSpecs(Lists.<PostAggregator>newArrayList(new HyperUniqueFinalizingPostAggregator(QueryRunnerTestHelper.hyperUniqueFinalizingPostAggMetric, QueryRunnerTestHelper.uniqueMetric))).build();
List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("1970-01-01T00:00:00.000Z", "market", "spot", QueryRunnerTestHelper.uniqueMetric, QueryRunnerTestHelper.UNIQUES_9, QueryRunnerTestHelper.hyperUniqueFinalizingPostAggMetric, QueryRunnerTestHelper.UNIQUES_9));
Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
TestHelper.assertExpectedObjects(expectedResults, results, "order-limit");
}
use of io.druid.query.groupby.orderby.OrderByColumnSpec in project druid by druid-io.
the class GroupByQueryRunnerTest method testGroupByLongColumnDescending.
@Test
public void testGroupByLongColumnDescending() {
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 InDimFilter("quality", Arrays.asList("entertainment", "technology"), null)).setAggregatorSpecs(Arrays.asList(QueryRunnerTestHelper.rowsCount, new LongSumAggregatorFactory("idx", "index"))).addOrderByColumn(new OrderByColumnSpec("ql_alias", OrderByColumnSpec.Direction.DESCENDING, StringComparators.NUMERIC)).setGranularity(QueryRunnerTestHelper.allGran).build();
Assert.assertNotEquals(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", 1700L, "rows", 2L, "idx", 175L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "ql_alias", 1200L, "rows", 2L, "idx", 324L));
Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
TestHelper.assertExpectedObjects(expectedResults, results, "");
}
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