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

Example 36 with ResponseContext

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

the class SegmentMetadataQueryRunnerFactory method createRunner.

@Override
public QueryRunner<SegmentAnalysis> createRunner(final Segment segment) {
    return new QueryRunner<SegmentAnalysis>() {

        @Override
        public Sequence<SegmentAnalysis> run(QueryPlus<SegmentAnalysis> inQ, ResponseContext responseContext) {
            SegmentMetadataQuery updatedQuery = ((SegmentMetadataQuery) inQ.getQuery()).withFinalizedAnalysisTypes(toolChest.getConfig());
            final SegmentAnalyzer analyzer = new SegmentAnalyzer(updatedQuery.getAnalysisTypes());
            final Map<String, ColumnAnalysis> analyzedColumns = analyzer.analyze(segment);
            final long numRows = analyzer.numRows(segment);
            long totalSize = 0;
            if (analyzer.analyzingSize()) {
                // Initialize with the size of the whitespace, 1 byte per
                totalSize = analyzedColumns.size() * numRows;
            }
            Map<String, ColumnAnalysis> columns = new TreeMap<>();
            ColumnIncluderator includerator = updatedQuery.getToInclude();
            for (Map.Entry<String, ColumnAnalysis> entry : analyzedColumns.entrySet()) {
                final String columnName = entry.getKey();
                final ColumnAnalysis column = entry.getValue();
                if (!column.isError()) {
                    totalSize += column.getSize();
                }
                if (includerator.include(columnName)) {
                    columns.put(columnName, column);
                }
            }
            List<Interval> retIntervals = updatedQuery.analyzingInterval() ? Collections.singletonList(segment.getDataInterval()) : null;
            final Map<String, AggregatorFactory> aggregators;
            Metadata metadata = null;
            if (updatedQuery.hasAggregators()) {
                metadata = segment.asStorageAdapter().getMetadata();
                if (metadata != null && metadata.getAggregators() != null) {
                    aggregators = new HashMap<>();
                    for (AggregatorFactory aggregator : metadata.getAggregators()) {
                        aggregators.put(aggregator.getName(), aggregator);
                    }
                } else {
                    aggregators = null;
                }
            } else {
                aggregators = null;
            }
            final TimestampSpec timestampSpec;
            if (updatedQuery.hasTimestampSpec()) {
                if (metadata == null) {
                    metadata = segment.asStorageAdapter().getMetadata();
                }
                timestampSpec = metadata != null ? metadata.getTimestampSpec() : null;
            } else {
                timestampSpec = null;
            }
            final Granularity queryGranularity;
            if (updatedQuery.hasQueryGranularity()) {
                if (metadata == null) {
                    metadata = segment.asStorageAdapter().getMetadata();
                }
                queryGranularity = metadata != null ? metadata.getQueryGranularity() : null;
            } else {
                queryGranularity = null;
            }
            Boolean rollup = null;
            if (updatedQuery.hasRollup()) {
                if (metadata == null) {
                    metadata = segment.asStorageAdapter().getMetadata();
                }
                rollup = metadata != null ? metadata.isRollup() : null;
                if (rollup == null) {
                    // in this case, this segment is built before no-rollup function is coded,
                    // thus it is built with rollup
                    rollup = Boolean.TRUE;
                }
            }
            return Sequences.simple(Collections.singletonList(new SegmentAnalysis(segment.getId().toString(), retIntervals, columns, totalSize, numRows, aggregators, timestampSpec, queryGranularity, rollup)));
        }
    };
}

Example 37 with ResponseContext

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

the class SegmentMetadataQueryRunnerFactory method mergeRunners.

@Override
public QueryRunner<SegmentAnalysis> mergeRunners(QueryProcessingPool queryProcessingPool, Iterable<QueryRunner<SegmentAnalysis>> queryRunners) {
    return new ConcatQueryRunner<SegmentAnalysis>(Sequences.map(Sequences.simple(queryRunners), new Function<QueryRunner<SegmentAnalysis>, QueryRunner<SegmentAnalysis>>() {

        @Override
        public QueryRunner<SegmentAnalysis> apply(final QueryRunner<SegmentAnalysis> input) {
            return new QueryRunner<SegmentAnalysis>() {

                @Override
                public Sequence<SegmentAnalysis> run(final QueryPlus<SegmentAnalysis> queryPlus, final ResponseContext responseContext) {
                    final Query<SegmentAnalysis> query = queryPlus.getQuery();
                    final int priority = QueryContexts.getPriority(query);
                    final QueryPlus<SegmentAnalysis> threadSafeQueryPlus = queryPlus.withoutThreadUnsafeState();
                    ListenableFuture<Sequence<SegmentAnalysis>> future = queryProcessingPool.submitRunnerTask(new AbstractPrioritizedQueryRunnerCallable<Sequence<SegmentAnalysis>, SegmentAnalysis>(priority, input) {

                        @Override
                        public Sequence<SegmentAnalysis> call() {
                            return Sequences.simple(input.run(threadSafeQueryPlus, responseContext).toList());
                        }
                    });
                    try {
                        queryWatcher.registerQueryFuture(query, future);
                        if (QueryContexts.hasTimeout(query)) {
                            return future.get(QueryContexts.getTimeout(query), TimeUnit.MILLISECONDS);
                        } else {
                            return future.get();
                        }
                    } catch (InterruptedException e) {
                        log.warn(e, "Query interrupted, cancelling pending results, query id [%s]", query.getId());
                        future.cancel(true);
                        throw new QueryInterruptedException(e);
                    } catch (CancellationException e) {
                        throw new QueryInterruptedException(e);
                    } catch (TimeoutException e) {
                        log.info("Query timeout, cancelling pending results for query id [%s]", query.getId());
                        future.cancel(true);
                        throw new QueryTimeoutException(StringUtils.nonStrictFormat("Query [%s] timed out", query.getId()));
                    } catch (ExecutionException e) {
                        throw new RuntimeException(e);
                    }
                }
            };
        }
    }));
}

Example 38 with ResponseContext

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

the class QueryRunnerTestHelper method makeFilteringQueryRunner.

public static <T> QueryRunner<T> makeFilteringQueryRunner(final VersionedIntervalTimeline<String, ReferenceCountingSegment> timeline, final QueryRunnerFactory<T, Query<T>> factory) {
    final QueryToolChest<T, Query<T>> toolChest = factory.getToolchest();
    return new FluentQueryRunnerBuilder<T>(toolChest).create(new QueryRunner<T>() {

        @Override
        public Sequence<T> run(QueryPlus<T> queryPlus, ResponseContext responseContext) {
            Query<T> query = queryPlus.getQuery();
            List<TimelineObjectHolder> segments = new ArrayList<>();
            for (Interval interval : query.getIntervals()) {
                segments.addAll(timeline.lookup(interval));
            }
            List<Sequence<T>> sequences = new ArrayList<>();
            for (TimelineObjectHolder<String, ReferenceCountingSegment> holder : toolChest.filterSegments(query, segments)) {
                Segment segment = holder.getObject().getChunk(0).getObject();
                QueryPlus queryPlusRunning = queryPlus.withQuery(queryPlus.getQuery().withQuerySegmentSpec(new SpecificSegmentSpec(new SegmentDescriptor(holder.getInterval(), holder.getVersion(), 0))));
                sequences.add(factory.createRunner(segment).run(queryPlusRunning, responseContext));
            }
            return new MergeSequence<>(query.getResultOrdering(), Sequences.simple(sequences));
        }
    }).applyPreMergeDecoration().mergeResults().applyPostMergeDecoration();
}

Example 39 with ResponseContext

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

the class ReportTimelineMissingSegmentQueryRunnerTest method testRunWithMultipleSegments.

@Test
public void testRunWithMultipleSegments() {
    final Interval interval = Intervals.of("2020-01-01/P1D");
    final List<SegmentDescriptor> missingSegments = ImmutableList.of(new SegmentDescriptor(interval, "version", 0), new SegmentDescriptor(interval, "version", 1));
    final ReportTimelineMissingSegmentQueryRunner<Object> runner = new ReportTimelineMissingSegmentQueryRunner<>(missingSegments);
    final ResponseContext responseContext = DefaultResponseContext.createEmpty();
    runner.run(QueryPlus.wrap(new TestQuery()), responseContext);
    Assert.assertNotNull(responseContext.getMissingSegments());
    Assert.assertEquals(missingSegments, responseContext.getMissingSegments());
}

Example 40 with ResponseContext

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

the class GroupByQueryRunnerTest method testMergeResults.

@Test
public void testMergeResults() {
    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")).setGranularity(new PeriodGranularity(new Period("P1M"), null, null));
    final GroupByQuery fullQuery = builder.build();
    final GroupByQuery allGranQuery = builder.copy().setGranularity(Granularities.ALL).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 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))));
        }
    });
    List<ResultRow> expectedResults = Arrays.asList(makeRow(fullQuery, "2011-04-01", "alias", "automotive", "rows", 2L, "idx", 269L), makeRow(fullQuery, "2011-04-01", "alias", "business", "rows", 2L, "idx", 217L), makeRow(fullQuery, "2011-04-01", "alias", "entertainment", "rows", 2L, "idx", 319L), makeRow(fullQuery, "2011-04-01", "alias", "health", "rows", 2L, "idx", 216L), makeRow(fullQuery, "2011-04-01", "alias", "mezzanine", "rows", 6L, "idx", 4420L), makeRow(fullQuery, "2011-04-01", "alias", "news", "rows", 2L, "idx", 221L), makeRow(fullQuery, "2011-04-01", "alias", "premium", "rows", 6L, "idx", 4416L), makeRow(fullQuery, "2011-04-01", "alias", "technology", "rows", 2L, "idx", 177L), makeRow(fullQuery, "2011-04-01", "alias", "travel", "rows", 2L, "idx", 243L));
    ResponseContext context = ResponseContext.createEmpty();
    TestHelper.assertExpectedObjects(expectedResults, mergedRunner.run(QueryPlus.wrap(fullQuery)), "merged");
    List<ResultRow> allGranExpectedResults = Arrays.asList(makeRow(allGranQuery, "2011-04-02", "alias", "automotive", "rows", 2L, "idx", 269L), makeRow(allGranQuery, "2011-04-02", "alias", "business", "rows", 2L, "idx", 217L), makeRow(allGranQuery, "2011-04-02", "alias", "entertainment", "rows", 2L, "idx", 319L), makeRow(allGranQuery, "2011-04-02", "alias", "health", "rows", 2L, "idx", 216L), makeRow(allGranQuery, "2011-04-02", "alias", "mezzanine", "rows", 6L, "idx", 4420L), makeRow(allGranQuery, "2011-04-02", "alias", "news", "rows", 2L, "idx", 221L), makeRow(allGranQuery, "2011-04-02", "alias", "premium", "rows", 6L, "idx", 4416L), makeRow(allGranQuery, "2011-04-02", "alias", "technology", "rows", 2L, "idx", 177L), makeRow(allGranQuery, "2011-04-02", "alias", "travel", "rows", 2L, "idx", 243L));
    TestHelper.assertExpectedObjects(allGranExpectedResults, mergedRunner.run(QueryPlus.wrap(allGranQuery)), "merged");
}