use of io.druid.query.groupby.having.GreaterThanHavingSpec in project druid by druid-io.
the class VarianceGroupByQueryTest method testPostAggHavingSpec.
@Test
public void testPostAggHavingSpec() {
VarianceTestHelper.RowBuilder expect = new VarianceTestHelper.RowBuilder(new String[] { "alias", "rows", "index", "index_var", "index_stddev" });
List<Row> expectedResults = expect.add("2011-04-01", "automotive", 2L, 269L, 299.0009819048282, 17.29164485827847).add("2011-04-01", "mezzanine", 6L, 4420L, 254083.76447001836, 504.06722217380724).add("2011-04-01", "premium", 6L, 4416L, 252279.2020389339, 502.27403082275106).build();
GroupByQuery query = GroupByQuery.builder().setDataSource(VarianceTestHelper.dataSource).setInterval("2011-04-02/2011-04-04").setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("quality", "alias"))).setAggregatorSpecs(Arrays.asList(VarianceTestHelper.rowsCount, VarianceTestHelper.indexLongSum, VarianceTestHelper.indexVarianceAggr)).setPostAggregatorSpecs(ImmutableList.<PostAggregator>of(VarianceTestHelper.stddevOfIndexPostAggr)).setGranularity(new PeriodGranularity(new Period("P1M"), null, null)).setHavingSpec(new OrHavingSpec(ImmutableList.<HavingSpec>of(// 3 rows
new GreaterThanHavingSpec(VarianceTestHelper.stddevOfIndexMetric, 15L)))).build();
Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
TestHelper.assertExpectedObjects(expectedResults, results, "");
query = query.withLimitSpec(new DefaultLimitSpec(Arrays.<OrderByColumnSpec>asList(OrderByColumnSpec.asc(VarianceTestHelper.stddevOfIndexMetric)), 2));
expectedResults = expect.add("2011-04-01", "automotive", 2L, 269L, 299.0009819048282, 17.29164485827847).add("2011-04-01", "premium", 6L, 4416L, 252279.2020389339, 502.27403082275106).build();
results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
TestHelper.assertExpectedObjects(expectedResults, results, "");
}
use of io.druid.query.groupby.having.GreaterThanHavingSpec in project druid by druid-io.
the class GroupByQueryRunnerTest method testGroupByWithHavingOnHyperUnique.
@Test
public void testGroupByWithHavingOnHyperUnique() {
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.uniqueMetric, OrderByColumnSpec.Direction.DESCENDING)), 3)).setHavingSpec(new GreaterThanHavingSpec(QueryRunnerTestHelper.uniqueMetric, 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));
// havingSpec equalTo/greaterThan/lessThan do not work on complex aggregators, even if they could be finalized.
// See also: https://github.com/druid-io/druid/issues/2507
expectedException.expect(ParseException.class);
expectedException.expectMessage("Unknown type[class io.druid.hll.HLLCV1]");
Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
TestHelper.assertExpectedObjects(expectedResults, results, "order-limit");
}
use of io.druid.query.groupby.having.GreaterThanHavingSpec in project druid by druid-io.
the class GroupByQueryRunnerTest method testGroupByWithOrderLimitHavingSpec.
@Test
public void testGroupByWithOrderLimitHavingSpec() {
GroupByQuery.Builder builder = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.dataSource).setInterval("2011-01-25/2011-01-28").setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("quality", "alias"))).setAggregatorSpecs(Arrays.asList(QueryRunnerTestHelper.rowsCount, new DoubleSumAggregatorFactory("index", "index"))).setGranularity(Granularities.ALL).setHavingSpec(new GreaterThanHavingSpec("index", 310L)).setLimitSpec(new DefaultLimitSpec(Lists.newArrayList(new OrderByColumnSpec("index", OrderByColumnSpec.Direction.ASCENDING)), 5));
List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-01-25", "alias", "business", "rows", 3L, "index", 312.38165283203125), GroupByQueryRunnerTestHelper.createExpectedRow("2011-01-25", "alias", "news", "rows", 3L, "index", 312.7834167480469), GroupByQueryRunnerTestHelper.createExpectedRow("2011-01-25", "alias", "technology", "rows", 3L, "index", 324.6412353515625), GroupByQueryRunnerTestHelper.createExpectedRow("2011-01-25", "alias", "travel", "rows", 3L, "index", 393.36322021484375), GroupByQueryRunnerTestHelper.createExpectedRow("2011-01-25", "alias", "health", "rows", 3L, "index", 511.2996826171875));
GroupByQuery fullQuery = builder.build();
Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, fullQuery);
TestHelper.assertExpectedObjects(expectedResults, results, "");
}
use of io.druid.query.groupby.having.GreaterThanHavingSpec in project druid by druid-io.
the class GroupByQueryRunnerTest method testPostAggMergedHavingSpec.
@Test
public void testPostAggMergedHavingSpec() {
List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "mezzanine", "rows", 6L, "index", 4420L, QueryRunnerTestHelper.addRowsIndexConstantMetric, (double) (6L + 4420L + 1L)), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "premium", "rows", 6L, "index", 4416L, QueryRunnerTestHelper.addRowsIndexConstantMetric, (double) (6L + 4416L + 1L)));
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("index", "index"))).setPostAggregatorSpecs(ImmutableList.<PostAggregator>of(QueryRunnerTestHelper.addRowsIndexConstant)).setGranularity(new PeriodGranularity(new Period("P1M"), null, null)).setHavingSpec(new OrHavingSpec(ImmutableList.<HavingSpec>of(new GreaterThanHavingSpec(QueryRunnerTestHelper.addRowsIndexConstantMetric, 1000L))));
final GroupByQuery fullQuery = builder.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))));
}
});
Map<String, Object> context = Maps.newHashMap();
TestHelper.assertExpectedObjects(expectedResults, mergedRunner.run(fullQuery, context), "merged");
}
use of io.druid.query.groupby.having.GreaterThanHavingSpec in project druid by druid-io.
the class GroupByQueryRunnerTest method testPostAggHavingSpec.
@Test
public void testPostAggHavingSpec() {
List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "mezzanine", "rows", 6L, "index", 4420L, QueryRunnerTestHelper.addRowsIndexConstantMetric, (double) (6L + 4420L + 1L)), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "premium", "rows", 6L, "index", 4416L, QueryRunnerTestHelper.addRowsIndexConstantMetric, (double) (6L + 4416L + 1L)));
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("index", "index"))).setPostAggregatorSpecs(ImmutableList.<PostAggregator>of(QueryRunnerTestHelper.addRowsIndexConstant)).setGranularity(new PeriodGranularity(new Period("P1M"), null, null)).setHavingSpec(new OrHavingSpec(ImmutableList.<HavingSpec>of(new GreaterThanHavingSpec(QueryRunnerTestHelper.addRowsIndexConstantMetric, 1000L))));
final GroupByQuery fullQuery = builder.build();
TestHelper.assertExpectedObjects(expectedResults, GroupByQueryRunnerTestHelper.runQuery(factory, runner, fullQuery), "");
}
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