Examples with QueryRunner io.druid.query.QueryRunner used on opensource projects

Example 1 with QueryRunner

use of io.druid.query.QueryRunner in project druid by druid-io.

the class DataSourceMetadataQueryTest method testMaxIngestedEventTime.

@Test
public void testMaxIngestedEventTime() throws Exception {
    final IncrementalIndex rtIndex = new OnheapIncrementalIndex(0L, Granularities.NONE, new AggregatorFactory[] { new CountAggregatorFactory("count") }, 1000);
    ;
    final QueryRunner runner = QueryRunnerTestHelper.makeQueryRunner((QueryRunnerFactory) new DataSourceMetadataQueryRunnerFactory(QueryRunnerTestHelper.NOOP_QUERYWATCHER), new IncrementalIndexSegment(rtIndex, "test"), null);
    DateTime timestamp = new DateTime(System.currentTimeMillis());
    rtIndex.add(new MapBasedInputRow(timestamp.getMillis(), ImmutableList.of("dim1"), ImmutableMap.<String, Object>of("dim1", "x")));
    DataSourceMetadataQuery dataSourceMetadataQuery = Druids.newDataSourceMetadataQueryBuilder().dataSource("testing").build();
    Map<String, Object> context = new MapMaker().makeMap();
    context.put(Result.MISSING_SEGMENTS_KEY, Lists.newArrayList());
    Iterable<Result<DataSourceMetadataResultValue>> results = Sequences.toList(runner.run(dataSourceMetadataQuery, context), Lists.<Result<DataSourceMetadataResultValue>>newArrayList());
    DataSourceMetadataResultValue val = results.iterator().next().getValue();
    DateTime maxIngestedEventTime = val.getMaxIngestedEventTime();
    Assert.assertEquals(timestamp, maxIngestedEventTime);
}

Example 2 with QueryRunner

use of io.druid.query.QueryRunner in project druid by druid-io.

the class GroupByQueryRunnerTest method testBySegmentResults.

@Test
public void testBySegmentResults() {
    int segmentCount = 32;
    Result<BySegmentResultValue> singleSegmentResult = new Result<BySegmentResultValue>(new DateTime("2011-01-12T00:00:00.000Z"), new BySegmentResultValueClass(Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "mezzanine", "rows", 6L, "idx", 4420L)), "testSegment", new Interval("2011-04-02T00:00:00.000Z/2011-04-04T00:00:00.000Z")));
    List<Result> bySegmentResults = Lists.newArrayList();
    for (int i = 0; i < segmentCount; i++) {
        bySegmentResults.add(singleSegmentResult);
    }
    GroupByQuery.Builder builder = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.dataSource).setInterval("2011-04-02/2011-04-04").setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("quality", "alias"))).setAggregatorSpecs(Arrays.asList(QueryRunnerTestHelper.rowsCount, new LongSumAggregatorFactory("idx", "index"))).setGranularity(new PeriodGranularity(new Period("P1M"), null, null)).setDimFilter(new SelectorDimFilter("quality", "mezzanine", null)).setContext(ImmutableMap.<String, Object>of("bySegment", true));
    final GroupByQuery fullQuery = builder.build();
    QueryToolChest toolChest = factory.getToolchest();
    List<QueryRunner<Row>> singleSegmentRunners = Lists.newArrayList();
    for (int i = 0; i < segmentCount; i++) {
        singleSegmentRunners.add(toolChest.preMergeQueryDecoration(runner));
    }
    ExecutorService exec = Executors.newCachedThreadPool();
    QueryRunner theRunner = toolChest.postMergeQueryDecoration(new FinalizeResultsQueryRunner<>(toolChest.mergeResults(factory.mergeRunners(Executors.newCachedThreadPool(), singleSegmentRunners)), toolChest));
    TestHelper.assertExpectedObjects(bySegmentResults, theRunner.run(fullQuery, Maps.newHashMap()), "");
    exec.shutdownNow();
}

Example 3 with QueryRunner

use of io.druid.query.QueryRunner in project druid by druid-io.

the class GroupByQueryRunnerFactoryTest method testMergeRunnersEnsureGroupMerging.

@Test
public void testMergeRunnersEnsureGroupMerging() throws Exception {
    GroupByQuery query = GroupByQuery.builder().setDataSource("xx").setQuerySegmentSpec(new LegacySegmentSpec("1970/3000")).setGranularity(Granularities.ALL).setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("tags", "tags"))).setAggregatorSpecs(Arrays.asList(new AggregatorFactory[] { new CountAggregatorFactory("count") })).build();
    final QueryRunnerFactory factory = GroupByQueryRunnerTest.makeQueryRunnerFactory(new GroupByQueryConfig());
    QueryRunner mergedRunner = factory.getToolchest().mergeResults(new QueryRunner() {

        @Override
        public Sequence run(Query query, Map responseContext) {
            return factory.getToolchest().mergeResults(new QueryRunner() {

                @Override
                public Sequence run(Query query, Map responseContext) {
                    try {
                        return new MergeSequence(query.getResultOrdering(), Sequences.simple(Arrays.asList(factory.createRunner(createSegment()).run(query, responseContext), factory.createRunner(createSegment()).run(query, responseContext))));
                    } catch (Exception e) {
                        Throwables.propagate(e);
                        return null;
                    }
                }
            }).run(query, responseContext);
        }
    });
    Sequence<Row> result = mergedRunner.run(query, Maps.newHashMap());
    List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("1970-01-01T00:00:00.000Z", "tags", "t1", "count", 2L), GroupByQueryRunnerTestHelper.createExpectedRow("1970-01-01T00:00:00.000Z", "tags", "t2", "count", 4L));
    TestHelper.assertExpectedObjects(expectedResults, Sequences.toList(result, new ArrayList<Row>()), "");
}

Example 4 with QueryRunner

use of io.druid.query.QueryRunner in project druid by druid-io.

the class GroupByTimeseriesQueryRunnerTest method constructorFeeder.

@SuppressWarnings("unchecked")
@Parameterized.Parameters(name = "{0}")
public static Iterable<Object[]> constructorFeeder() throws IOException {
    GroupByQueryConfig config = new GroupByQueryConfig();
    config.setMaxIntermediateRows(10000);
    final GroupByQueryRunnerFactory factory = GroupByQueryRunnerTest.makeQueryRunnerFactory(config);
    return QueryRunnerTestHelper.transformToConstructionFeeder(Lists.transform(QueryRunnerTestHelper.makeQueryRunners(factory), new Function<QueryRunner<Row>, Object>() {

        @Nullable
        @Override
        public Object apply(final QueryRunner<Row> input) {
            return new QueryRunner() {

                @Override
                public Sequence run(Query query, Map responseContext) {
                    TimeseriesQuery tsQuery = (TimeseriesQuery) query;
                    QueryRunner<Row> newRunner = factory.mergeRunners(MoreExecutors.sameThreadExecutor(), ImmutableList.<QueryRunner<Row>>of(input));
                    QueryToolChest toolChest = factory.getToolchest();
                    newRunner = new FinalizeResultsQueryRunner<>(toolChest.mergeResults(toolChest.preMergeQueryDecoration(newRunner)), toolChest);
                    return Sequences.map(newRunner.run(GroupByQuery.builder().setDataSource(tsQuery.getDataSource()).setQuerySegmentSpec(tsQuery.getQuerySegmentSpec()).setGranularity(tsQuery.getGranularity()).setDimFilter(tsQuery.getDimensionsFilter()).setAggregatorSpecs(tsQuery.getAggregatorSpecs()).setPostAggregatorSpecs(tsQuery.getPostAggregatorSpecs()).setVirtualColumns(tsQuery.getVirtualColumns()).build(), responseContext), new Function<Row, Result<TimeseriesResultValue>>() {

                        @Override
                        public Result<TimeseriesResultValue> apply(final Row input) {
                            MapBasedRow row = (MapBasedRow) input;
                            return new Result<TimeseriesResultValue>(row.getTimestamp(), new TimeseriesResultValue(row.getEvent()));
                        }
                    });
                }

                @Override
                public String toString() {
                    return input.toString();
                }
            };
        }
    }));
}

Example 5 with QueryRunner

use of io.druid.query.QueryRunner in project druid by druid-io.

the class SegmentMetadataQueryTest method testSegmentMetadataQueryWithDefaultAnalysisMerge.

private void testSegmentMetadataQueryWithDefaultAnalysisMerge(String column, ColumnAnalysis analysis) {
    SegmentAnalysis mergedSegmentAnalysis = new SegmentAnalysis(differentIds ? "merged" : "testSegment", ImmutableList.of(expectedSegmentAnalysis1.getIntervals().get(0)), ImmutableMap.of("__time", new ColumnAnalysis(ValueType.LONG.toString(), false, 12090 * 2, null, null, null, null), "index", new ColumnAnalysis(ValueType.FLOAT.toString(), false, 9672 * 2, null, null, null, null), column, analysis), expectedSegmentAnalysis1.getSize() + expectedSegmentAnalysis2.getSize(), expectedSegmentAnalysis1.getNumRows() + expectedSegmentAnalysis2.getNumRows(), null, null, null, null);
    QueryToolChest toolChest = FACTORY.getToolchest();
    ExecutorService exec = Executors.newCachedThreadPool();
    QueryRunner myRunner = new FinalizeResultsQueryRunner<>(toolChest.mergeResults(FACTORY.mergeRunners(MoreExecutors.sameThreadExecutor(), Lists.<QueryRunner<SegmentAnalysis>>newArrayList(toolChest.preMergeQueryDecoration(runner1), toolChest.preMergeQueryDecoration(runner2)))), toolChest);
    Query query = testQuery.withColumns(new ListColumnIncluderator(Arrays.asList("__time", "index", column)));
    TestHelper.assertExpectedObjects(ImmutableList.of(mergedSegmentAnalysis), myRunner.run(query, Maps.newHashMap()), "failed SegmentMetadata merging query");
    exec.shutdownNow();
}