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

Example 11 with FieldAccessPostAggregator

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

the class GroupByQueryTest method testQuerySerialization.

@Test
public void testQuerySerialization() throws IOException {
    Query query = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec(QueryRunnerTestHelper.QUALITY_DIMENSION, "alias"), new DefaultDimensionSpec(QueryRunnerTestHelper.MARKET_DIMENSION, "market", ColumnType.STRING_ARRAY)).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT, new LongSumAggregatorFactory("idx", "index")).setGranularity(QueryRunnerTestHelper.DAY_GRAN).setPostAggregatorSpecs(ImmutableList.of(new FieldAccessPostAggregator("x", "idx"))).setLimitSpec(new DefaultLimitSpec(ImmutableList.of(new OrderByColumnSpec("alias", OrderByColumnSpec.Direction.ASCENDING, StringComparators.LEXICOGRAPHIC)), 100)).build();
    String json = JSON_MAPPER.writeValueAsString(query);
    Query serdeQuery = JSON_MAPPER.readValue(json, Query.class);
    Assert.assertEquals(query, serdeQuery);
}

Example 12 with FieldAccessPostAggregator

use of org.apache.druid.query.aggregation.post.FieldAccessPostAggregator 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 13 with FieldAccessPostAggregator

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

the class GroupByQueryRunnerTest method testMergedPostAggHavingSpec.

@Test
public void testMergedPostAggHavingSpec() {
    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")).setPostAggregatorSpecs(Collections.singletonList(new ArithmeticPostAggregator("rows_times_10", "*", Arrays.asList(new FieldAccessPostAggregator("rows", "rows"), new ConstantPostAggregator("const", 10L))))).setGranularity(new PeriodGranularity(new Period("P1M"), null, null)).setHavingSpec(new OrHavingSpec(ImmutableList.of(new GreaterThanHavingSpec("rows_times_10", 20L), new EqualToHavingSpec("idx", 217L))));
    GroupByQuery query = builder.build();
    // Same query, but with expressions instead of arithmetic.
    final GroupByQuery expressionQuery = query.withPostAggregatorSpecs(Collections.singletonList(new ExpressionPostAggregator("rows_times_10", "rows * 10.0", null, TestExprMacroTable.INSTANCE)));
    List<ResultRow> expectedResults = Arrays.asList(makeRow(query, "2011-04-01", "alias", "business", "rows", 2L, "idx", 217L, "rows_times_10", 20.0), makeRow(query, "2011-04-01", "alias", "mezzanine", "rows", 6L, "idx", 4420L, "rows_times_10", 60.0), makeRow(query, "2011-04-01", "alias", "premium", "rows", 6L, "idx", 4416L, "rows_times_10", 60.0));
    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))));
        }
    });
    ResponseContext context = ResponseContext.createEmpty();
    // add an extra layer of merging, simulate broker forwarding query to historical
    TestHelper.assertExpectedObjects(expectedResults, factory.getToolchest().postMergeQueryDecoration(factory.getToolchest().mergeResults(factory.getToolchest().preMergeQueryDecoration(mergedRunner))).run(QueryPlus.wrap(query)), "merged");
    TestHelper.assertExpectedObjects(expectedResults, factory.getToolchest().postMergeQueryDecoration(factory.getToolchest().mergeResults(factory.getToolchest().preMergeQueryDecoration(mergedRunner))).run(QueryPlus.wrap(expressionQuery)), "merged");
}

Example 14 with FieldAccessPostAggregator

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

the class GroupByQueryRunnerTest method testDifferentGroupingSubqueryMultipleAggregatorsOnSameField.

@Test
public void testDifferentGroupingSubqueryMultipleAggregatorsOnSameField() {
    GroupByQuery subquery = makeQueryBuilder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec("quality", "alias")).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT, new LongSumAggregatorFactory("idx", "index")).setPostAggregatorSpecs(Collections.singletonList(new ArithmeticPostAggregator("post_agg", "+", Lists.newArrayList(new FieldAccessPostAggregator("idx", "idx"), new FieldAccessPostAggregator("idx", "idx"))))).setGranularity(QueryRunnerTestHelper.DAY_GRAN).build();
    GroupByQuery query = makeQueryBuilder().setDataSource(subquery).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setAggregatorSpecs(new DoubleMaxAggregatorFactory("idx1", "idx"), new DoubleMaxAggregatorFactory("idx2", "idx"), new DoubleMaxAggregatorFactory("idx3", "post_agg"), new DoubleMaxAggregatorFactory("idx4", "post_agg")).setGranularity(QueryRunnerTestHelper.DAY_GRAN).build();
    List<ResultRow> expectedResults = Arrays.asList(makeRow(query, "2011-04-01", "idx1", 2900.0, "idx2", 2900.0, "idx3", 5800.0, "idx4", 5800.0), makeRow(query, "2011-04-02", "idx1", 2505.0, "idx2", 2505.0, "idx3", 5010.0, "idx4", 5010.0));
    Iterable<ResultRow> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
    TestHelper.assertExpectedObjects(expectedResults, results, "subquery-multiple-aggs");
}

Example 15 with FieldAccessPostAggregator

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

the class GroupByQueryRunnerTest method testSubqueryWithPostAggregators.

@Test
public void testSubqueryWithPostAggregators() {
    final GroupByQuery subquery = makeQueryBuilder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec("quality", "alias")).setDimFilter(new JavaScriptDimFilter("quality", "function(dim){ return true; }", null, JavaScriptConfig.getEnabledInstance())).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT, new LongSumAggregatorFactory("idx_subagg", "index")).setPostAggregatorSpecs(Collections.singletonList(new ArithmeticPostAggregator("idx_subpostagg", "+", Arrays.asList(new FieldAccessPostAggregator("the_idx_subagg", "idx_subagg"), new ConstantPostAggregator("thousand", 1000))))).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")).setPostAggregatorSpecs(Collections.singletonList(new ArithmeticPostAggregator("idx_post", "+", Arrays.asList(new FieldAccessPostAggregator("the_idx_agg", "idx"), new ConstantPostAggregator("ten_thousand", 10000))))).setGranularity(QueryRunnerTestHelper.DAY_GRAN).build();
    List<ResultRow> expectedResults = Arrays.asList(makeRow(query, "2011-04-01", "alias", "automotive", "rows", 1L, "idx_post", 11135.0, "idx", 1135L), makeRow(query, "2011-04-01", "alias", "business", "rows", 1L, "idx_post", 11118.0, "idx", 1118L), makeRow(query, "2011-04-01", "alias", "entertainment", "rows", 1L, "idx_post", 11158.0, "idx", 1158L), makeRow(query, "2011-04-01", "alias", "health", "rows", 1L, "idx_post", 11120.0, "idx", 1120L), makeRow(query, "2011-04-01", "alias", "mezzanine", "rows", 3L, "idx_post", 13870.0, "idx", 3870L), makeRow(query, "2011-04-01", "alias", "news", "rows", 1L, "idx_post", 11121.0, "idx", 1121L), makeRow(query, "2011-04-01", "alias", "premium", "rows", 3L, "idx_post", 13900.0, "idx", 3900L), makeRow(query, "2011-04-01", "alias", "technology", "rows", 1L, "idx_post", 11078.0, "idx", 1078L), makeRow(query, "2011-04-01", "alias", "travel", "rows", 1L, "idx_post", 11119.0, "idx", 1119L), makeRow(query, "2011-04-02", "alias", "automotive", "rows", 1L, "idx_post", 11147.0, "idx", 1147L), makeRow(query, "2011-04-02", "alias", "business", "rows", 1L, "idx_post", 11112.0, "idx", 1112L), makeRow(query, "2011-04-02", "alias", "entertainment", "rows", 1L, "idx_post", 11166.0, "idx", 1166L), makeRow(query, "2011-04-02", "alias", "health", "rows", 1L, "idx_post", 11113.0, "idx", 1113L), makeRow(query, "2011-04-02", "alias", "mezzanine", "rows", 3L, "idx_post", 13447.0, "idx", 3447L), makeRow(query, "2011-04-02", "alias", "news", "rows", 1L, "idx_post", 11114.0, "idx", 1114L), makeRow(query, "2011-04-02", "alias", "premium", "rows", 3L, "idx_post", 13505.0, "idx", 3505L), makeRow(query, "2011-04-02", "alias", "technology", "rows", 1L, "idx_post", 11097.0, "idx", 1097L), makeRow(query, "2011-04-02", "alias", "travel", "rows", 1L, "idx_post", 11126.0, "idx", 1126L));
    // Subqueries are handled by the ToolChest
    Iterable<ResultRow> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
    TestHelper.assertExpectedObjects(expectedResults, results, "subquery-postaggs");
}