Examples with ResponseContext org.apache.druid.query.context.ResponseContext used on opensource projects

Example 1 with ResponseContext

use of org.apache.druid.query.context.ResponseContext in project druid by druid-io.

the class GroupByQueryRunnerTest method testPostAggMergedHavingSpec.

@Test
public void testPostAggMergedHavingSpec() {
    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("index", "index")).setPostAggregatorSpecs(ImmutableList.of(QueryRunnerTestHelper.ADD_ROWS_INDEX_CONSTANT)).setGranularity(new PeriodGranularity(new Period("P1M"), null, null)).setHavingSpec(new OrHavingSpec(ImmutableList.of(new GreaterThanHavingSpec(QueryRunnerTestHelper.ADD_ROWS_INDEX_CONSTANT_METRIC, 1000L))));
    final GroupByQuery fullQuery = builder.build();
    List<ResultRow> expectedResults = Arrays.asList(makeRow(fullQuery, "2011-04-01", "alias", "mezzanine", "rows", 6L, "index", 4420L, QueryRunnerTestHelper.ADD_ROWS_INDEX_CONSTANT_METRIC, (double) (6L + 4420L + 1L)), makeRow(fullQuery, "2011-04-01", "alias", "premium", "rows", 6L, "index", 4416L, QueryRunnerTestHelper.ADD_ROWS_INDEX_CONSTANT_METRIC, (double) (6L + 4416L + 1L)));
    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");
}

Example 2 with ResponseContext

use of org.apache.druid.query.context.ResponseContext in project druid by druid-io.

the class AggregationTestHelper method makeStringSerdeQueryRunner.

public QueryRunner<ResultRow> makeStringSerdeQueryRunner(final ObjectMapper mapper, final QueryToolChest toolChest, final QueryRunner<ResultRow> baseRunner) {
    return new QueryRunner<ResultRow>() {

        @Override
        public Sequence<ResultRow> run(QueryPlus<ResultRow> queryPlus, ResponseContext map) {
            try {
                Sequence<ResultRow> resultSeq = baseRunner.run(queryPlus, ResponseContext.createEmpty());
                final Yielder yielder = resultSeq.toYielder(null, new YieldingAccumulator() {

                    @Override
                    public Object accumulate(Object accumulated, Object in) {
                        yield();
                        return in;
                    }
                });
                String resultStr = mapper.writer().writeValueAsString(yielder);
                List resultRows = Lists.transform(readQueryResultArrayFromString(resultStr), toolChest.makePreComputeManipulatorFn(queryPlus.getQuery(), MetricManipulatorFns.deserializing()));
                return Sequences.simple(resultRows);
            } catch (Exception ex) {
                throw new RuntimeException(ex);
            }
        }
    };
}

Example 3 with ResponseContext

use of org.apache.druid.query.context.ResponseContext in project druid by druid-io.

the class GroupByLimitPushDownInsufficientBufferTest 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())), (QueryToolChest) toolChest);
    QueryRunner<ResultRow> theRunner2 = new FinalizeResultsQueryRunner<>(toolChest.mergeResults(tooSmallGroupByFactory.mergeRunners(executorService, getRunner2())), (QueryToolChest) toolChest);
    QueryRunner<ResultRow> theRunner3 = 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(0, 1000000)));
    GroupByQuery query = GroupByQuery.builder().setDataSource("blah").setQuerySegmentSpec(intervalSpec).setDimensions(new DefaultDimensionSpec("dimA", null)).setAggregatorSpecs(new LongSumAggregatorFactory("metA", "metA")).setLimitSpec(new DefaultLimitSpec(Collections.singletonList(new OrderByColumnSpec("dimA", OrderByColumnSpec.Direction.DESCENDING)), 3)).setGranularity(Granularities.ALL).build();
    Sequence<ResultRow> queryResult = theRunner3.run(QueryPlus.wrap(query), ResponseContext.createEmpty());
    List<ResultRow> results = queryResult.toList();
    ResultRow expectedRow0 = GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970-01-01T00:00:00.000Z", "dimA", "zortaxx", "metA", 999L);
    ResultRow expectedRow1 = GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970-01-01T00:00:00.000Z", "dimA", "zebra", "metA", 180L);
    ResultRow expectedRow2 = GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970-01-01T00:00:00.000Z", "dimA", "world", "metA", 150L);
    Assert.assertEquals(3, results.size());
    Assert.assertEquals(expectedRow0, results.get(0));
    Assert.assertEquals(expectedRow1, results.get(1));
    Assert.assertEquals(expectedRow2, results.get(2));
}

Example 4 with ResponseContext

use of org.apache.druid.query.context.ResponseContext 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));
}

Example 5 with ResponseContext

use of org.apache.druid.query.context.ResponseContext in project druid by druid-io.

the class GroupByQueryRunnerFactoryTest method testMergeRunnersEnsureGroupMerging.

@Test
public void testMergeRunnersEnsureGroupMerging() {
    GroupByQuery query = GroupByQuery.builder().setDataSource("xx").setQuerySegmentSpec(new LegacySegmentSpec("1970/3000")).setGranularity(Granularities.ALL).setDimensions(new DefaultDimensionSpec("tags", "tags")).setAggregatorSpecs(new CountAggregatorFactory("count")).build();
    QueryRunner mergedRunner = factory.getToolchest().mergeResults(new QueryRunner() {

        @Override
        public Sequence run(QueryPlus queryPlus, ResponseContext responseContext) {
            return factory.getToolchest().mergeResults(new QueryRunner() {

                @Override
                public Sequence run(QueryPlus queryPlus, ResponseContext responseContext) {
                    final Query query = queryPlus.getQuery();
                    try {
                        return new MergeSequence(query.getResultOrdering(), Sequences.simple(Arrays.asList(factory.createRunner(createSegment()).run(queryPlus, responseContext), factory.createRunner(createSegment()).run(queryPlus, responseContext))));
                    } catch (Exception e) {
                        throw new RuntimeException(e);
                    }
                }
            }).run(queryPlus, responseContext);
        }
    });
    Sequence<ResultRow> result = mergedRunner.run(QueryPlus.wrap(query), ResponseContext.createEmpty());
    List<ResultRow> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970-01-01T00:00:00.000Z", "tags", "t1", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970-01-01T00:00:00.000Z", "tags", "t2", "count", 4L));
    TestHelper.assertExpectedObjects(expectedResults, result.toList(), "");
}