use of org.apache.druid.query.groupby.having.OrHavingSpec in project druid by druid-io.
the class GroupByQueryQueryToolChestTest method testResultLevelCacheKeyWithAndHavingSpec.
@Test
public void testResultLevelCacheKeyWithAndHavingSpec() {
final List<HavingSpec> havings = Arrays.asList(new GreaterThanHavingSpec("agg", Double.valueOf(1.3)), new OrHavingSpec(Arrays.asList(new LessThanHavingSpec("lessAgg", Long.valueOf(1L)), new NotHavingSpec(new EqualToHavingSpec("equalAgg", Double.valueOf(2))))));
final HavingSpec andHavingSpec = new AndHavingSpec(havings);
final List<HavingSpec> havings2 = Arrays.asList(new GreaterThanHavingSpec("agg", Double.valueOf(13.0)), new OrHavingSpec(Arrays.asList(new LessThanHavingSpec("lessAgg", Long.valueOf(1L)), new NotHavingSpec(new EqualToHavingSpec("equalAgg", Double.valueOf(22))))));
final HavingSpec andHavingSpec2 = new AndHavingSpec(havings2);
final GroupByQuery query1 = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec("quality", "alias")).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT, new LongSumAggregatorFactory("idx", "index")).setPostAggregatorSpecs(ImmutableList.of(new ExpressionPostAggregator("post", "alias + 'x'", null, TestExprMacroTable.INSTANCE))).setGranularity(QueryRunnerTestHelper.DAY_GRAN).setLimitSpec(new DefaultLimitSpec(ImmutableList.of(new OrderByColumnSpec("post", OrderByColumnSpec.Direction.DESCENDING)), Integer.MAX_VALUE)).setHavingSpec(andHavingSpec).build();
final GroupByQuery query2 = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec("quality", "alias")).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT, new LongSumAggregatorFactory("idx", "index")).setPostAggregatorSpecs(ImmutableList.of(new ExpressionPostAggregator("post", "alias + 'x'", null, TestExprMacroTable.INSTANCE))).setGranularity(QueryRunnerTestHelper.DAY_GRAN).setLimitSpec(new DefaultLimitSpec(ImmutableList.of(new OrderByColumnSpec("post", OrderByColumnSpec.Direction.DESCENDING)), Integer.MAX_VALUE)).setHavingSpec(andHavingSpec2).build();
final CacheStrategy<ResultRow, Object, GroupByQuery> strategy1 = new GroupByQueryQueryToolChest(null).getCacheStrategy(query1);
final CacheStrategy<ResultRow, Object, GroupByQuery> strategy2 = new GroupByQueryQueryToolChest(null).getCacheStrategy(query2);
Assert.assertTrue(Arrays.equals(strategy1.computeCacheKey(query1), strategy2.computeCacheKey(query2)));
Assert.assertFalse(Arrays.equals(strategy1.computeResultLevelCacheKey(query1), strategy2.computeResultLevelCacheKey(query2)));
}
use of org.apache.druid.query.groupby.having.OrHavingSpec in project druid by druid-io.
the class GroupByQueryRunnerTest method testMergedHavingSpec.
@Test
public void testMergedHavingSpec() {
GroupByQuery.Builder builder = makeQueryBuilder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setInterval("2011-04-02/2011-04-04").setDimensions(new DefaultDimensionSpec("quality", "alias")).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT, new LongSumAggregatorFactory("idx", "index")).setGranularity(new PeriodGranularity(new Period("P1M"), null, null)).setHavingSpec(new OrHavingSpec(ImmutableList.of(new GreaterThanHavingSpec("rows", 2L), new EqualToHavingSpec("idx", 217L))));
GroupByQuery fullQuery = builder.build();
List<ResultRow> expectedResults = Arrays.asList(makeRow(fullQuery, "2011-04-01", "alias", "business", "rows", 2L, "idx", 217L), makeRow(fullQuery, "2011-04-01", "alias", "mezzanine", "rows", 6L, "idx", 4420L), makeRow(fullQuery, "2011-04-01", "alias", "premium", "rows", 6L, "idx", 4416L));
QueryRunner mergedRunner = factory.getToolchest().mergeResults(new QueryRunner<ResultRow>() {
@Override
public Sequence<ResultRow> run(QueryPlus<ResultRow> queryPlus, ResponseContext responseContext) {
// simulate two daily segments
final QueryPlus queryPlus1 = queryPlus.withQuery(queryPlus.getQuery().withQuerySegmentSpec(new MultipleIntervalSegmentSpec(Collections.singletonList(Intervals.of("2011-04-02/2011-04-03")))));
final QueryPlus queryPlus2 = queryPlus.withQuery(queryPlus.getQuery().withQuerySegmentSpec(new MultipleIntervalSegmentSpec(Collections.singletonList(Intervals.of("2011-04-03/2011-04-04")))));
return new MergeSequence(queryPlus.getQuery().getResultOrdering(), Sequences.simple(Arrays.asList(runner.run(queryPlus1, responseContext), runner.run(queryPlus2, responseContext))));
}
});
TestHelper.assertExpectedObjects(expectedResults, mergedRunner.run(QueryPlus.wrap(fullQuery)), "merged");
}
use of org.apache.druid.query.groupby.having.OrHavingSpec in project druid by druid-io.
the class GroupByQueryRunnerTest method testGroupByWithUnderUnderTimeAsDimensionNameWithHavingAndLimit.
@Test
public void testGroupByWithUnderUnderTimeAsDimensionNameWithHavingAndLimit() {
expectedException.expect(IAE.class);
expectedException.expectMessage("'__time' cannot be used as an output name for dimensions, aggregators, or post-aggregators.");
makeQueryBuilder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec("quality", "__time")).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT, new LongSumAggregatorFactory("idx", "index")).setGranularity(QueryRunnerTestHelper.DAY_GRAN).setHavingSpec(new OrHavingSpec(ImmutableList.of(new DimensionSelectorHavingSpec("__time", "automotive", null), new DimensionSelectorHavingSpec("__time", "business", null)))).setLimitSpec(new DefaultLimitSpec(ImmutableList.of(new OrderByColumnSpec("__time", OrderByColumnSpec.Direction.DESCENDING)), null)).build();
}
use of org.apache.druid.query.groupby.having.OrHavingSpec 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" });
GroupByQuery query = queryBuilder.setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setInterval("2011-04-02/2011-04-04").setDimensions(new DefaultDimensionSpec("quality", "alias")).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT, QueryRunnerTestHelper.INDEX_LONG_SUM, VarianceTestHelper.INDEX_VARIANCE_AGGR).setPostAggregatorSpecs(ImmutableList.of(VarianceTestHelper.STD_DEV_OF_INDEX_POST_AGGR)).setGranularity(new PeriodGranularity(new Period("P1M"), null, null)).setHavingSpec(new OrHavingSpec(ImmutableList.of(// 3 rows
new GreaterThanHavingSpec(VarianceTestHelper.STD_DEV_OF_INDEX_METRIC, 15L)))).build();
List<ResultRow> 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(query);
Iterable<ResultRow> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
TestHelper.assertExpectedObjects(expectedResults, results, "havingSpec");
query = query.withLimitSpec(new DefaultLimitSpec(Collections.singletonList(OrderByColumnSpec.asc(VarianceTestHelper.STD_DEV_OF_INDEX_METRIC)), 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(query);
results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
TestHelper.assertExpectedObjects(expectedResults, results, "limitSpec");
}
Aggregations