Examples with LongSumAggregatorFactory org.apache.druid.query.aggregation.LongSumAggregatorFactory used on opensource projects

Example 91 with LongSumAggregatorFactory

use of org.apache.druid.query.aggregation.LongSumAggregatorFactory in project druid by druid-io.

the class GroupByQueryRunnerTest method testMultiValueVirtualDimAsString.

@Test
public void testMultiValueVirtualDimAsString() {
    if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
        expectedException.expect(UnsupportedOperationException.class);
        expectedException.expectMessage("GroupBy v1 only supports dimensions with an outputType of STRING");
    } else if (!vectorize) {
        // cannot add exact class cast message due to discrepancies between various JDK versions
        expectedException.expect(RuntimeException.class);
    }
    cannotVectorize();
    GroupByQuery query = makeQueryBuilder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setVirtualColumns(new ExpressionVirtualColumn("v0", "mv_to_array(placementish)", ColumnType.STRING_ARRAY, ExprMacroTable.nil())).setDimensions(new DefaultDimensionSpec("v0", "alias", ColumnType.STRING)).setDimensions(new DefaultDimensionSpec("index", "alias", ColumnType.STRING_ARRAY)).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT, new LongSumAggregatorFactory("idx", "index")).setGranularity(QueryRunnerTestHelper.ALL_GRAN).build();
    GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
}

Example 92 with LongSumAggregatorFactory

use of org.apache.druid.query.aggregation.LongSumAggregatorFactory in project druid by druid-io.

the class GroupByQueryRunnerTest method testGroupByWithDurationGranularity.

@Test
public void testGroupByWithDurationGranularity() {
    GroupByQuery query = makeQueryBuilder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec("quality", "alias")).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT, new LongSumAggregatorFactory("idx", "index")).setGranularity(new DurationGranularity(86400L, 0L)).build();
    List<ResultRow> expectedResults = Arrays.asList(makeRow(query, "2011-04-01", "alias", "automotive", "rows", 1L, "idx", 135L), makeRow(query, "2011-04-01", "alias", "business", "rows", 1L, "idx", 118L), makeRow(query, "2011-04-01", "alias", "entertainment", "rows", 1L, "idx", 158L), makeRow(query, "2011-04-01", "alias", "health", "rows", 1L, "idx", 120L), makeRow(query, "2011-04-01", "alias", "mezzanine", "rows", 3L, "idx", 2870L), makeRow(query, "2011-04-01", "alias", "news", "rows", 1L, "idx", 121L), makeRow(query, "2011-04-01", "alias", "premium", "rows", 3L, "idx", 2900L), makeRow(query, "2011-04-01", "alias", "technology", "rows", 1L, "idx", 78L), makeRow(query, "2011-04-01", "alias", "travel", "rows", 1L, "idx", 119L), makeRow(query, "2011-04-02", "alias", "automotive", "rows", 1L, "idx", 147L), makeRow(query, "2011-04-02", "alias", "business", "rows", 1L, "idx", 112L), makeRow(query, "2011-04-02", "alias", "entertainment", "rows", 1L, "idx", 166L), makeRow(query, "2011-04-02", "alias", "health", "rows", 1L, "idx", 113L), makeRow(query, "2011-04-02", "alias", "mezzanine", "rows", 3L, "idx", 2447L), makeRow(query, "2011-04-02", "alias", "news", "rows", 1L, "idx", 114L), makeRow(query, "2011-04-02", "alias", "premium", "rows", 3L, "idx", 2505L), makeRow(query, "2011-04-02", "alias", "technology", "rows", 1L, "idx", 97L), makeRow(query, "2011-04-02", "alias", "travel", "rows", 1L, "idx", 126L));
    Iterable<ResultRow> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
    TestHelper.assertExpectedObjects(expectedResults, results, "duration-granularity");
}

Example 93 with LongSumAggregatorFactory

use of org.apache.druid.query.aggregation.LongSumAggregatorFactory in project druid by druid-io.

the class GroupByQueryRunnerTest method testSubqueryWithMultiColumnAggregators.

@Test
public void testSubqueryWithMultiColumnAggregators() {
    // Cannot vectorize due to javascript functionality.
    cannotVectorize();
    final GroupByQuery subquery = makeQueryBuilder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec("quality", "alias")).setDimFilter(new JavaScriptDimFilter("market", "function(dim){ return true; }", null, JavaScriptConfig.getEnabledInstance())).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT, new DoubleSumAggregatorFactory("idx_subagg", "index"), new JavaScriptAggregatorFactory("js_agg", Arrays.asList("index", "market"), "function(current, index, dim){return current + index + dim.length;}", "function(){return 0;}", "function(a,b){return a + b;}", JavaScriptConfig.getEnabledInstance())).setPostAggregatorSpecs(Collections.singletonList(new ArithmeticPostAggregator("idx_subpostagg", "+", Arrays.asList(new FieldAccessPostAggregator("the_idx_subagg", "idx_subagg"), new ConstantPostAggregator("thousand", 1000))))).setHavingSpec(new HavingSpec() {

        private GroupByQuery query;

        @Override
        public byte[] getCacheKey() {
            return new byte[0];
        }

        @Override
        public void setQuery(GroupByQuery query) {
            this.query = query;
        }

        @Override
        public boolean eval(ResultRow row) {
            final String field = "idx_subpostagg";
            final int p = query.getResultRowSignature().indexOf(field);
            return (Rows.objectToNumber(field, row.get(p), true).floatValue() < 3800);
        }
    }).addOrderByColumn("alias").setGranularity(QueryRunnerTestHelper.DAY_GRAN).build();
    final GroupByQuery query = makeQueryBuilder().setDataSource(subquery).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec("alias", "alias")).setAggregatorSpecs(new LongSumAggregatorFactory("rows", "rows"), new LongSumAggregatorFactory("idx", "idx_subpostagg"), new DoubleSumAggregatorFactory("js_outer_agg", "js_agg")).setPostAggregatorSpecs(Collections.singletonList(new ArithmeticPostAggregator("idx_post", "+", Arrays.asList(new FieldAccessPostAggregator("the_idx_agg", "idx"), new ConstantPostAggregator("ten_thousand", 10000))))).setLimitSpec(new DefaultLimitSpec(Collections.singletonList(new OrderByColumnSpec("alias", OrderByColumnSpec.Direction.DESCENDING)), 5)).setGranularity(QueryRunnerTestHelper.DAY_GRAN).build();
    List<ResultRow> expectedResults = Arrays.asList(makeRow(query, "2011-04-01", "alias", "travel", "rows", 1L, "idx_post", 11119.0, "idx", 1119L, "js_outer_agg", 123.92274475097656), makeRow(query, "2011-04-01", "alias", "technology", "rows", 1L, "idx_post", 11078.0, "idx", 1078L, "js_outer_agg", 82.62254333496094), makeRow(query, "2011-04-01", "alias", "news", "rows", 1L, "idx_post", 11121.0, "idx", 1121L, "js_outer_agg", 125.58358001708984), makeRow(query, "2011-04-01", "alias", "health", "rows", 1L, "idx_post", 11120.0, "idx", 1120L, "js_outer_agg", 124.13470458984375), makeRow(query, "2011-04-01", "alias", "entertainment", "rows", 1L, "idx_post", 11158.0, "idx", 1158L, "js_outer_agg", 162.74722290039062));
    // Subqueries are handled by the ToolChest
    Iterable<ResultRow> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
    TestHelper.assertExpectedObjects(expectedResults, results, "subquery-multi-aggs");
}

Example 94 with LongSumAggregatorFactory

use of org.apache.druid.query.aggregation.LongSumAggregatorFactory in project druid by druid-io.

the class GroupByQueryRunnerTest method testMergeResultsWithLimitPushDownSortByAgg.

@Test
public void testMergeResultsWithLimitPushDownSortByAgg() {
    if (!config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V2)) {
        return;
    }
    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")).setLimitSpec(new DefaultLimitSpec(Collections.singletonList(new OrderByColumnSpec("idx", OrderByColumnSpec.Direction.DESCENDING)), 5)).overrideContext(ImmutableMap.of(GroupByQueryConfig.CTX_KEY_FORCE_LIMIT_PUSH_DOWN, true)).setGranularity(Granularities.ALL);
    final GroupByQuery allGranQuery = builder.build();
    QueryRunner mergedRunner = factory.getToolchest().mergeResults(new QueryRunner<ResultRow>() {

        @Override
        public Sequence<ResultRow> run(QueryPlus<ResultRow> queryPlus, ResponseContext responseContext) {
            // simulate two daily segments
            final QueryPlus<ResultRow> queryPlus1 = queryPlus.withQuery(queryPlus.getQuery().withQuerySegmentSpec(new MultipleIntervalSegmentSpec(Collections.singletonList(Intervals.of("2011-04-02/2011-04-03")))));
            final QueryPlus<ResultRow> queryPlus2 = queryPlus.withQuery(queryPlus.getQuery().withQuerySegmentSpec(new MultipleIntervalSegmentSpec(Collections.singletonList(Intervals.of("2011-04-03/2011-04-04")))));
            return factory.getToolchest().mergeResults((queryPlus3, responseContext1) -> new MergeSequence<>(queryPlus3.getQuery().getResultOrdering(), Sequences.simple(Arrays.asList(runner.run(queryPlus1, responseContext1), runner.run(queryPlus2, responseContext1))))).run(queryPlus, responseContext);
        }
    });
    List<ResultRow> allGranExpectedResults = Arrays.asList(makeRow(allGranQuery, "2011-04-02", "alias", "mezzanine", "rows", 6L, "idx", 4420L), makeRow(allGranQuery, "2011-04-02", "alias", "premium", "rows", 6L, "idx", 4416L), makeRow(allGranQuery, "2011-04-02", "alias", "entertainment", "rows", 2L, "idx", 319L), makeRow(allGranQuery, "2011-04-02", "alias", "automotive", "rows", 2L, "idx", 269L), makeRow(allGranQuery, "2011-04-02", "alias", "travel", "rows", 2L, "idx", 243L));
    Iterable<ResultRow> results = mergedRunner.run(QueryPlus.wrap(allGranQuery)).toList();
    TestHelper.assertExpectedObjects(allGranExpectedResults, results, "merged");
}

Example 95 with LongSumAggregatorFactory

use of org.apache.druid.query.aggregation.LongSumAggregatorFactory in project druid by druid-io.

the class GroupByQueryRunnerTest method testGroupByOnVirtualColumn.

@Test
public void testGroupByOnVirtualColumn() {
    if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
        expectedException.expect(UnsupportedOperationException.class);
    }
    GroupByQuery query = makeQueryBuilder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setVirtualColumns(new ExpressionVirtualColumn("v", "qualityDouble * qualityLong", ColumnType.LONG, TestExprMacroTable.INSTANCE), new ExpressionVirtualColumn("two", "2", null, TestExprMacroTable.INSTANCE)).setDimensions(new DefaultDimensionSpec("v", "v", ColumnType.LONG)).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT, new LongSumAggregatorFactory("twosum", null, "1 + two", TestExprMacroTable.INSTANCE)).setGranularity(QueryRunnerTestHelper.ALL_GRAN).setLimit(5).build();
    List<ResultRow> expectedResults = Arrays.asList(makeRow(query, "2011-04-01", "v", 10000000L, "rows", 2L, "twosum", 6L), makeRow(query, "2011-04-01", "v", 12100000L, "rows", 2L, "twosum", 6L), makeRow(query, "2011-04-01", "v", 14400000L, "rows", 2L, "twosum", 6L), makeRow(query, "2011-04-01", "v", 16900000L, "rows", 2L, "twosum", 6L), makeRow(query, "2011-04-01", "v", 19600000L, "rows", 6L, "twosum", 18L));
    Iterable<ResultRow> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
    TestHelper.assertExpectedObjects(expectedResults, results, "groupBy");
}