use of io.druid.query.QueryToolChest in project druid by druid-io.
the class SegmentMetadataQueryTest method testSegmentMetadataQueryWithAggregatorsMerge.
@Test
public void testSegmentMetadataQueryWithAggregatorsMerge() {
final Map<String, AggregatorFactory> expectedAggregators = Maps.newHashMap();
for (AggregatorFactory agg : TestIndex.METRIC_AGGS) {
expectedAggregators.put(agg.getName(), agg.getCombiningFactory());
}
SegmentAnalysis mergedSegmentAnalysis = new SegmentAnalysis(differentIds ? "merged" : "testSegment", null, ImmutableMap.of("placement", new ColumnAnalysis(ValueType.STRING.toString(), false, 0, 0, null, null, null)), 0, expectedSegmentAnalysis1.getNumRows() + expectedSegmentAnalysis2.getNumRows(), expectedAggregators, 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);
TestHelper.assertExpectedObjects(ImmutableList.of(mergedSegmentAnalysis), myRunner.run(Druids.newSegmentMetadataQueryBuilder().dataSource("testing").intervals("2013/2014").toInclude(new ListColumnIncluderator(Arrays.asList("placement"))).analysisTypes(SegmentMetadataQuery.AnalysisType.AGGREGATORS).merge(true).build(), Maps.newHashMap()), "failed SegmentMetadata merging query");
exec.shutdownNow();
}
use of io.druid.query.QueryToolChest in project druid by druid-io.
the class SegmentMetadataQueryTest method testSegmentMetadataQueryWithNoAnalysisTypesMerge.
@Test
public void testSegmentMetadataQueryWithNoAnalysisTypesMerge() {
SegmentAnalysis mergedSegmentAnalysis = new SegmentAnalysis(differentIds ? "merged" : "testSegment", null, ImmutableMap.of("placement", new ColumnAnalysis(ValueType.STRING.toString(), false, 0, 0, null, null, null)), 0, 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);
TestHelper.assertExpectedObjects(ImmutableList.of(mergedSegmentAnalysis), myRunner.run(Druids.newSegmentMetadataQueryBuilder().dataSource("testing").intervals("2013/2014").toInclude(new ListColumnIncluderator(Arrays.asList("placement"))).analysisTypes().merge(true).build(), Maps.newHashMap()), "failed SegmentMetadata merging query");
exec.shutdownNow();
}
use of io.druid.query.QueryToolChest in project druid by druid-io.
the class SegmentMetadataQueryTest method testSegmentMetadataQueryWithRollupMerge.
@Test
public void testSegmentMetadataQueryWithRollupMerge() {
SegmentAnalysis mergedSegmentAnalysis = new SegmentAnalysis(differentIds ? "merged" : "testSegment", null, ImmutableMap.of("placement", new ColumnAnalysis(ValueType.STRING.toString(), false, 0, 0, null, null, null), "placementish", new ColumnAnalysis(ValueType.STRING.toString(), true, 0, 0, null, null, null)), 0, expectedSegmentAnalysis1.getNumRows() + expectedSegmentAnalysis2.getNumRows(), null, null, null, rollup1 != rollup2 ? null : rollup1);
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);
TestHelper.assertExpectedObjects(ImmutableList.of(mergedSegmentAnalysis), myRunner.run(Druids.newSegmentMetadataQueryBuilder().dataSource("testing").intervals("2013/2014").toInclude(new ListColumnIncluderator(Arrays.asList("placement", "placementish"))).analysisTypes(SegmentMetadataQuery.AnalysisType.ROLLUP).merge(true).build(), Maps.newHashMap()), "failed SegmentMetadata merging query");
exec.shutdownNow();
}
use of io.druid.query.QueryToolChest in project druid by druid-io.
the class SegmentMetadataQueryTest method testSegmentMetadataQueryWithQueryGranularityMerge.
@Test
public void testSegmentMetadataQueryWithQueryGranularityMerge() {
SegmentAnalysis mergedSegmentAnalysis = new SegmentAnalysis(differentIds ? "merged" : "testSegment", null, ImmutableMap.of("placement", new ColumnAnalysis(ValueType.STRING.toString(), false, 0, 0, null, null, null)), 0, expectedSegmentAnalysis1.getNumRows() + expectedSegmentAnalysis2.getNumRows(), null, null, Granularities.NONE, 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);
TestHelper.assertExpectedObjects(ImmutableList.of(mergedSegmentAnalysis), myRunner.run(Druids.newSegmentMetadataQueryBuilder().dataSource("testing").intervals("2013/2014").toInclude(new ListColumnIncluderator(Arrays.asList("placement"))).analysisTypes(SegmentMetadataQuery.AnalysisType.QUERYGRANULARITY).merge(true).build(), Maps.newHashMap()), "failed SegmentMetadata merging query");
exec.shutdownNow();
}
use of io.druid.query.QueryToolChest in project druid by druid-io.
the class SelectBenchmark method runQuery.
private static <T> List<T> runQuery(QueryRunnerFactory factory, QueryRunner runner, Query<T> query) {
QueryToolChest toolChest = factory.getToolchest();
QueryRunner<T> theRunner = new FinalizeResultsQueryRunner<>(toolChest.mergeResults(toolChest.preMergeQueryDecoration(runner)), toolChest);
Sequence<T> queryResult = theRunner.run(query, Maps.<String, Object>newHashMap());
return Sequences.toList(queryResult, Lists.<T>newArrayList());
}
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