use of org.apache.druid.query.aggregation.LongSumAggregatorFactory in project druid by druid-io.
the class DefaultGroupByQueryMetricsTest method testDefaultGroupByQueryMetricsQuery.
/**
* Tests that passed a query {@link DefaultGroupByQueryMetrics} produces events with a certain set of dimensions,
* no more, no less.
*/
@Test
public void testDefaultGroupByQueryMetricsQuery() {
CachingEmitter cachingEmitter = new CachingEmitter();
ServiceEmitter serviceEmitter = new ServiceEmitter("", "", cachingEmitter);
DefaultGroupByQueryMetrics queryMetrics = new DefaultGroupByQueryMetrics();
GroupByQuery.Builder builder = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setInterval("2011-04-02/2011-04-04").setDimensions(new ExtractionDimensionSpec("quality", "alias", new LookupExtractionFn(new MapLookupExtractor(ImmutableMap.of("mezzanine", "mezzanine0"), false), false, null, true, false))).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT, new LongSumAggregatorFactory("idx", "index")).setGranularity(new PeriodGranularity(new Period("P1M"), null, null)).setDimFilter(new SelectorDimFilter("quality", "mezzanine", null)).setContext(ImmutableMap.of(QueryContexts.BY_SEGMENT_KEY, true));
GroupByQuery query = builder.build();
queryMetrics.query(query);
queryMetrics.reportQueryTime(0).emit(serviceEmitter);
Map<String, Object> actualEvent = cachingEmitter.getLastEmittedEvent().toMap();
Assert.assertEquals(16, actualEvent.size());
Assert.assertTrue(actualEvent.containsKey("feed"));
Assert.assertTrue(actualEvent.containsKey("timestamp"));
Assert.assertEquals("", actualEvent.get("host"));
Assert.assertEquals("", actualEvent.get("service"));
Assert.assertEquals(QueryRunnerTestHelper.DATA_SOURCE, actualEvent.get(DruidMetrics.DATASOURCE));
Assert.assertEquals(query.getType(), actualEvent.get(DruidMetrics.TYPE));
Interval expectedInterval = Intervals.of("2011-04-02/2011-04-04");
Assert.assertEquals(Collections.singletonList(expectedInterval.toString()), actualEvent.get(DruidMetrics.INTERVAL));
Assert.assertEquals("true", actualEvent.get("hasFilters"));
Assert.assertEquals(expectedInterval.toDuration().toString(), actualEvent.get("duration"));
Assert.assertEquals("", actualEvent.get(DruidMetrics.ID));
Assert.assertEquals(ImmutableMap.of(QueryContexts.BY_SEGMENT_KEY, true), actualEvent.get("context"));
// GroupBy-specific dimensions
Assert.assertEquals("1", actualEvent.get("numDimensions"));
Assert.assertEquals("2", actualEvent.get("numMetrics"));
Assert.assertEquals("0", actualEvent.get("numComplexMetrics"));
// Metric
Assert.assertEquals("query/time", actualEvent.get("metric"));
Assert.assertEquals(0L, actualEvent.get("value"));
}
use of org.apache.druid.query.aggregation.LongSumAggregatorFactory in project druid by druid-io.
the class GroupByLimitPushDownMultiNodeMergeTest method testPartialLimitPushDownMerge.
@Test
public void testPartialLimitPushDownMerge() {
// one segment's results use limit push down, the other doesn't because of insufficient buffer capacity
QueryToolChest<ResultRow, GroupByQuery> toolChest = groupByFactory.getToolchest();
QueryRunner<ResultRow> theRunner = new FinalizeResultsQueryRunner<>(toolChest.mergeResults(groupByFactory.mergeRunners(executorService, getRunner1(0))), (QueryToolChest) toolChest);
QueryRunner<ResultRow> theRunner2 = new FinalizeResultsQueryRunner<>(toolChest.mergeResults(groupByFactory2.mergeRunners(executorService, getRunner2(1))), (QueryToolChest) toolChest);
QueryRunner<ResultRow> finalRunner = new FinalizeResultsQueryRunner<>(toolChest.mergeResults(new QueryRunner<ResultRow>() {
@Override
public Sequence<ResultRow> run(QueryPlus<ResultRow> queryPlus, ResponseContext responseContext) {
return Sequences.simple(ImmutableList.of(theRunner.run(queryPlus, responseContext), theRunner2.run(queryPlus, responseContext))).flatMerge(Function.identity(), queryPlus.getQuery().getResultOrdering());
}
}), (QueryToolChest) toolChest);
QuerySegmentSpec intervalSpec = new MultipleIntervalSegmentSpec(Collections.singletonList(Intervals.utc(1500000000000L, 1600000000000L)));
GroupByQuery query = GroupByQuery.builder().setDataSource("blah").setQuerySegmentSpec(intervalSpec).setDimensions(new DefaultDimensionSpec("dimA", "dimA"), new ExtractionDimensionSpec(ColumnHolder.TIME_COLUMN_NAME, "hour", ColumnType.LONG, new TimeFormatExtractionFn(null, null, null, new PeriodGranularity(new Period("PT1H"), null, DateTimeZone.UTC), true))).setAggregatorSpecs(new LongSumAggregatorFactory("metASum", "metA")).setLimitSpec(new DefaultLimitSpec(Arrays.asList(new OrderByColumnSpec("hour", OrderByColumnSpec.Direction.ASCENDING, StringComparators.NUMERIC), new OrderByColumnSpec("dimA", OrderByColumnSpec.Direction.ASCENDING)), 1000)).setContext(ImmutableMap.of(GroupByQueryConfig.CTX_KEY_APPLY_LIMIT_PUSH_DOWN, true)).setGranularity(Granularities.ALL).build();
Sequence<ResultRow> queryResult = finalRunner.run(QueryPlus.wrap(query), ResponseContext.createEmpty());
List<ResultRow> results = queryResult.toList();
ResultRow expectedRow0 = GroupByQueryRunnerTestHelper.createExpectedRow(query, "2017-07-14T02:40:00.000Z", "dimA", "mango", "hour", 1505260800000L, "metASum", 26L);
ResultRow expectedRow1 = GroupByQueryRunnerTestHelper.createExpectedRow(query, "2017-07-14T02:40:00.000Z", "dimA", "pomegranate", "hour", 1505260800000L, "metASum", 7113L);
ResultRow expectedRow2 = GroupByQueryRunnerTestHelper.createExpectedRow(query, "2017-07-14T02:40:00.000Z", "dimA", "mango", "hour", 1505264400000L, "metASum", 10L);
ResultRow expectedRow3 = GroupByQueryRunnerTestHelper.createExpectedRow(query, "2017-07-14T02:40:00.000Z", "dimA", "pomegranate", "hour", 1505264400000L, "metASum", 7726L);
Assert.assertEquals(4, results.size());
Assert.assertEquals(expectedRow0, results.get(0));
Assert.assertEquals(expectedRow1, results.get(1));
Assert.assertEquals(expectedRow2, results.get(2));
Assert.assertEquals(expectedRow3, results.get(3));
}
use of org.apache.druid.query.aggregation.LongSumAggregatorFactory in project druid by druid-io.
the class GroupByQueryMergeBufferTest method testNestedGroupByWithNestedSubtotals.
@Test
public void testNestedGroupByWithNestedSubtotals() {
final GroupByQuery query = GroupByQuery.builder().setDataSource(new QueryDataSource(GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setInterval(QueryRunnerTestHelper.FIRST_TO_THIRD).setGranularity(Granularities.ALL).setDimensions(Arrays.asList(DefaultDimensionSpec.of("quality"), DefaultDimensionSpec.of("market"), DefaultDimensionSpec.of("placement"))).setSubtotalsSpec(Arrays.asList(Collections.singletonList("quality"), Collections.singletonList("market"))).setAggregatorSpecs(Collections.singletonList(QueryRunnerTestHelper.ROWS_COUNT)).build())).setGranularity(Granularities.ALL).setInterval(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(Arrays.asList(DefaultDimensionSpec.of("quality"), DefaultDimensionSpec.of("market"))).setSubtotalsSpec(Arrays.asList(Collections.singletonList("quality"), Collections.singletonList("market"))).setAggregatorSpecs(new LongSumAggregatorFactory("rows", "rows")).setContext(ImmutableMap.of(QueryContexts.TIMEOUT_KEY, TIMEOUT)).build();
Assert.assertEquals(3, GroupByStrategyV2.countRequiredMergeBufferNum(query));
GroupByQueryRunnerTestHelper.runQuery(FACTORY, runner, query);
// 2 for subtotal, 1 for nested group by and 1 for GroupByQueryRunnerFactory#mergeRunners
Assert.assertEquals(0, MERGE_BUFFER_POOL.getMinRemainBufferNum());
Assert.assertEquals(4, MERGE_BUFFER_POOL.getPoolSize());
}
use of org.apache.druid.query.aggregation.LongSumAggregatorFactory in project druid by druid-io.
the class GroupByQueryMergeBufferTest method testTripleNestedGroupBy.
@Test
public void testTripleNestedGroupBy() {
final GroupByQuery query = GroupByQuery.builder().setDataSource(new QueryDataSource(GroupByQuery.builder().setDataSource(GroupByQuery.builder().setDataSource(GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setInterval(QueryRunnerTestHelper.FIRST_TO_THIRD).setGranularity(Granularities.ALL).setDimensions(Lists.newArrayList(new DefaultDimensionSpec("quality", "alias"), new DefaultDimensionSpec("market", null), new DefaultDimensionSpec("placement", null))).setAggregatorSpecs(Collections.singletonList(QueryRunnerTestHelper.ROWS_COUNT)).build()).setInterval(QueryRunnerTestHelper.FIRST_TO_THIRD).setGranularity(Granularities.ALL).setDimensions(new DefaultDimensionSpec("quality", "alias"), new DefaultDimensionSpec("market", null)).setAggregatorSpecs(Collections.singletonList(QueryRunnerTestHelper.ROWS_COUNT)).build()).setInterval(QueryRunnerTestHelper.FIRST_TO_THIRD).setGranularity(Granularities.ALL).setDimensions(new DefaultDimensionSpec("quality", "alias")).setAggregatorSpecs(Collections.singletonList(QueryRunnerTestHelper.ROWS_COUNT)).build())).setGranularity(Granularities.ALL).setInterval(QueryRunnerTestHelper.FIRST_TO_THIRD).setAggregatorSpecs(new LongSumAggregatorFactory("rows", "rows")).setContext(ImmutableMap.of(QueryContexts.TIMEOUT_KEY, TIMEOUT)).build();
Assert.assertEquals(2, GroupByStrategyV2.countRequiredMergeBufferNum(query));
GroupByQueryRunnerTestHelper.runQuery(FACTORY, runner, query);
// This should be 1 because the broker needs 2 buffers and the queryable node needs one.
Assert.assertEquals(1, MERGE_BUFFER_POOL.getMinRemainBufferNum());
Assert.assertEquals(4, MERGE_BUFFER_POOL.getPoolSize());
}
use of org.apache.druid.query.aggregation.LongSumAggregatorFactory in project druid by druid-io.
the class CalciteCorrelatedQueryTest method testCorrelatedSubquery.
@Test
@Parameters(source = QueryContextForJoinProvider.class)
public void testCorrelatedSubquery(Map<String, Object> queryContext) throws Exception {
cannotVectorize();
queryContext = withLeftDirectAccessEnabled(queryContext);
testQuery("select country, ANY_VALUE(\n" + " select avg(\"users\") from (\n" + " select floor(__time to day), count(distinct user) \"users\" from visits f where f.country = visits.country group by 1\n" + " )\n" + " ) as \"DAU\"\n" + "from visits \n" + "group by 1", queryContext, ImmutableList.of(GroupByQuery.builder().setDataSource(join(new TableDataSource(CalciteTests.USERVISITDATASOURCE), new QueryDataSource(GroupByQuery.builder().setDataSource(GroupByQuery.builder().setDataSource(CalciteTests.USERVISITDATASOURCE).setQuerySegmentSpec(querySegmentSpec(Intervals.ETERNITY)).setVirtualColumns(new ExpressionVirtualColumn("v0", "timestamp_floor(\"__time\",'P1D',null,'UTC')", ColumnType.LONG, TestExprMacroTable.INSTANCE)).setDimFilter(not(selector("country", null, null))).setDimensions(new DefaultDimensionSpec("v0", "d0", ColumnType.LONG), new DefaultDimensionSpec("country", "d1")).setAggregatorSpecs(new CardinalityAggregatorFactory("a0:a", null, Collections.singletonList(new DefaultDimensionSpec("user", "user")), false, true)).setPostAggregatorSpecs(Collections.singletonList(new HyperUniqueFinalizingPostAggregator("a0", "a0:a"))).setContext(withTimestampResultContext(queryContext, "d0", Granularities.DAY)).setGranularity(new AllGranularity()).build()).setQuerySegmentSpec(querySegmentSpec(Intervals.ETERNITY)).setDimensions(new DefaultDimensionSpec("d1", "_d0")).setAggregatorSpecs(new LongSumAggregatorFactory("_a0:sum", "a0"), useDefault ? new CountAggregatorFactory("_a0:count") : new FilteredAggregatorFactory(new CountAggregatorFactory("_a0:count"), not(selector("a0", null, null)))).setPostAggregatorSpecs(Collections.singletonList(new ArithmeticPostAggregator("_a0", "quotient", Arrays.asList(new FieldAccessPostAggregator(null, "_a0:sum"), new FieldAccessPostAggregator(null, "_a0:count"))))).setGranularity(new AllGranularity()).setContext(queryContext).build()), "j0.", equalsCondition(makeColumnExpression("country"), makeColumnExpression("j0._d0")), JoinType.LEFT)).setQuerySegmentSpec(querySegmentSpec(Intervals.ETERNITY)).setDimensions(new DefaultDimensionSpec("country", "d0")).setAggregatorSpecs(new LongAnyAggregatorFactory("a0", "j0._a0")).setGranularity(new AllGranularity()).setContext(queryContext).build()), ImmutableList.of(new Object[] { "India", 2L }, new Object[] { "USA", 1L }, new Object[] { "canada", 3L }));
}
Aggregations