use of org.apache.druid.query.FinalizeResultsQueryRunner in project druid by druid-io.
the class GroupByLimitPushDownInsufficientBufferTest method testPartialLimitPushDownMergeForceAggs.
@Test
public void testPartialLimitPushDownMergeForceAggs() {
// 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("metA", OrderByColumnSpec.Direction.DESCENDING, StringComparators.NUMERIC)), 3)).setGranularity(Granularities.ALL).setContext(ImmutableMap.of(GroupByQueryConfig.CTX_KEY_FORCE_LIMIT_PUSH_DOWN, true)).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", "foo", "metA", 200L);
ResultRow expectedRow2 = GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970-01-01T00:00:00.000Z", "dimA", "mango", "metA", 190L);
Assert.assertEquals(3, results.size());
Assert.assertEquals(expectedRow0, results.get(0));
Assert.assertEquals(expectedRow1, results.get(1));
Assert.assertEquals(expectedRow2, results.get(2));
}
use of org.apache.druid.query.FinalizeResultsQueryRunner in project druid by druid-io.
the class GroupByLimitPushDownMultiNodeMergeTest method testDescendingNumerics.
@Test
public void testDescendingNumerics() {
QueryToolChest<ResultRow, GroupByQuery> toolChest = groupByFactory.getToolchest();
QueryRunner<ResultRow> theRunner = new FinalizeResultsQueryRunner<>(toolChest.mergeResults(groupByFactory.mergeRunners(executorService, getRunner1(2))), (QueryToolChest) toolChest);
QueryRunner<ResultRow> theRunner2 = new FinalizeResultsQueryRunner<>(toolChest.mergeResults(groupByFactory2.mergeRunners(executorService, getRunner2(3))), (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, 1900000000000L)));
DefaultLimitSpec ls2 = new DefaultLimitSpec(Arrays.asList(new OrderByColumnSpec("d0", OrderByColumnSpec.Direction.DESCENDING, StringComparators.NUMERIC), new OrderByColumnSpec("d1", OrderByColumnSpec.Direction.DESCENDING, StringComparators.NUMERIC), new OrderByColumnSpec("d2", OrderByColumnSpec.Direction.DESCENDING, StringComparators.NUMERIC)), 100);
GroupByQuery query = GroupByQuery.builder().setDataSource("blah").setQuerySegmentSpec(intervalSpec).setVirtualColumns(new ExpressionVirtualColumn("d0:v", "timestamp_extract(\"__time\",'YEAR','UTC')", ColumnType.LONG, TestExprMacroTable.INSTANCE), new ExpressionVirtualColumn("d1:v", "timestamp_extract(\"__time\",'MONTH','UTC')", ColumnType.LONG, TestExprMacroTable.INSTANCE), new ExpressionVirtualColumn("d2:v", "timestamp_extract(\"__time\",'DAY','UTC')", ColumnType.LONG, TestExprMacroTable.INSTANCE)).setDimensions(new DefaultDimensionSpec("d0:v", "d0", ColumnType.LONG), new DefaultDimensionSpec("d1:v", "d1", ColumnType.LONG), new DefaultDimensionSpec("d2:v", "d2", ColumnType.LONG)).setAggregatorSpecs(new CountAggregatorFactory("a0")).setLimitSpec(ls2).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", "d0", 2027L, "d1", 3L, "d2", 17L, "a0", 2L);
ResultRow expectedRow1 = GroupByQueryRunnerTestHelper.createExpectedRow(query, "2017-07-14T02:40:00.000Z", "d0", 2024L, "d1", 1L, "d2", 14L, "a0", 2L);
ResultRow expectedRow2 = GroupByQueryRunnerTestHelper.createExpectedRow(query, "2017-07-14T02:40:00.000Z", "d0", 2020L, "d1", 11L, "d2", 13L, "a0", 2L);
ResultRow expectedRow3 = GroupByQueryRunnerTestHelper.createExpectedRow(query, "2017-07-14T02:40:00.000Z", "d0", 2017L, "d1", 9L, "d2", 13L, "a0", 2L);
System.out.println(results);
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));
}
use of org.apache.druid.query.FinalizeResultsQueryRunner in project druid by druid-io.
the class GroupByLimitPushDownMultiNodeMergeTest method testForcePushLimitDownAccuracyWhenSortHasNonGroupingFieldsHelper.
private List<ResultRow> testForcePushLimitDownAccuracyWhenSortHasNonGroupingFieldsHelper(Map<String, Object> context) {
QueryToolChest<ResultRow, GroupByQuery> toolChest = groupByFactory.getToolchest();
QueryRunner<ResultRow> theRunner = new FinalizeResultsQueryRunner<>(toolChest.mergeResults(groupByFactory.mergeRunners(executorService, getRunner1(4))), (QueryToolChest) toolChest);
QueryRunner<ResultRow> theRunner2 = new FinalizeResultsQueryRunner<>(toolChest.mergeResults(groupByFactory2.mergeRunners(executorService, getRunner2(5))), (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, 1900000000000L)));
DefaultLimitSpec ls = new DefaultLimitSpec(Collections.singletonList(new OrderByColumnSpec("a0", OrderByColumnSpec.Direction.DESCENDING, StringComparators.NUMERIC)), 5);
GroupByQuery query = GroupByQuery.builder().setDataSource("blah").setQuerySegmentSpec(intervalSpec).setDimensions(new DefaultDimensionSpec("dimA", "d0", ColumnType.STRING), new DefaultDimensionSpec("dimB", "d1", ColumnType.STRING)).setAggregatorSpecs(new LongSumAggregatorFactory("a0", "metA")).setLimitSpec(ls).setContext(context).setGranularity(Granularities.ALL).build();
Sequence<ResultRow> queryResult = finalRunner.run(QueryPlus.wrap(query), ResponseContext.createEmpty());
return queryResult.toList();
}
use of org.apache.druid.query.FinalizeResultsQueryRunner in project druid by druid-io.
the class TimeseriesQueryRunnerTest method testTimeseriesIntervalOutOfRanges.
@Test
public void testTimeseriesIntervalOutOfRanges() {
TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource(QueryRunnerTestHelper.DATA_SOURCE).granularity(QueryRunnerTestHelper.ALL_GRAN).intervals(QueryRunnerTestHelper.EMPTY_INTERVAL).aggregators(Arrays.asList(QueryRunnerTestHelper.ROWS_COUNT, QueryRunnerTestHelper.INDEX_LONG_SUM, QueryRunnerTestHelper.INDEX_LONG_MIN, QueryRunnerTestHelper.INDEX_LONG_MAX, QueryRunnerTestHelper.INDEX_DOUBLE_MIN, QueryRunnerTestHelper.INDEX_DOUBLE_MAX, QueryRunnerTestHelper.INDEX_FLOAT_MIN, QueryRunnerTestHelper.INDEX_FLOAT_MAX)).postAggregators(QueryRunnerTestHelper.ADD_ROWS_INDEX_CONSTANT).descending(descending).context(ImmutableMap.of(TimeseriesQuery.SKIP_EMPTY_BUCKETS, false)).build();
List<Result<TimeseriesResultValue>> expectedResults = new ArrayList<>();
expectedResults.add(new Result<>(QueryRunnerTestHelper.EMPTY_INTERVAL.getIntervals().get(0).getStart(), new TimeseriesResultValue(TestHelper.createExpectedMap("rows", 0L, "index", NullHandling.defaultLongValue(), QueryRunnerTestHelper.ADD_ROWS_INDEX_CONSTANT_METRIC, NullHandling.sqlCompatible() ? null : 1.0, QueryRunnerTestHelper.LONG_MIN_INDEX_METRIC, NullHandling.sqlCompatible() ? null : Long.MAX_VALUE, QueryRunnerTestHelper.LONG_MAX_INDEX_METRIC, NullHandling.sqlCompatible() ? null : Long.MIN_VALUE, QueryRunnerTestHelper.DOUBLE_MIN_INDEX_METRIC, NullHandling.sqlCompatible() ? null : Double.POSITIVE_INFINITY, QueryRunnerTestHelper.DOUBLE_MAX_INDEX_METRIC, NullHandling.sqlCompatible() ? null : Double.NEGATIVE_INFINITY, QueryRunnerTestHelper.FLOAT_MIN_INDEX_METRIC, NullHandling.sqlCompatible() ? null : Float.POSITIVE_INFINITY, QueryRunnerTestHelper.FLOAT_MAX_INDEX_METRIC, NullHandling.sqlCompatible() ? null : Float.NEGATIVE_INFINITY))));
// Must create a toolChest so we can run mergeResults (which creates the zeroed-out row).
QueryToolChest<Result<TimeseriesResultValue>, TimeseriesQuery> toolChest = new TimeseriesQueryQueryToolChest();
// Must wrapped in a results finalizer to stop the runner's builtin finalizer from being called.
final FinalizeResultsQueryRunner finalRunner = new FinalizeResultsQueryRunner(toolChest.mergeResults(runner), toolChest);
final List results = finalRunner.run(QueryPlus.wrap(query)).toList();
TestHelper.assertExpectedResults(expectedResults, results);
}
use of org.apache.druid.query.FinalizeResultsQueryRunner in project druid by druid-io.
the class TimeseriesQueryRunnerTest method testTimeseriesGrandTotal.
@Test
public void testTimeseriesGrandTotal() {
TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource(QueryRunnerTestHelper.DATA_SOURCE).granularity(QueryRunnerTestHelper.DAY_GRAN).intervals(QueryRunnerTestHelper.FIRST_TO_THIRD).aggregators(Arrays.asList(QueryRunnerTestHelper.ROWS_COUNT, QueryRunnerTestHelper.INDEX_LONG_SUM, QueryRunnerTestHelper.QUALITY_UNIQUES, QueryRunnerTestHelper.INDEX_LONG_MIN, QueryRunnerTestHelper.INDEX_DOUBLE_MAX, QueryRunnerTestHelper.INDEX_FLOAT_MIN)).postAggregators(QueryRunnerTestHelper.ADD_ROWS_INDEX_CONSTANT).descending(descending).context(ImmutableMap.of(TimeseriesQuery.CTX_GRAND_TOTAL, true)).build();
List<Result<TimeseriesResultValue>> expectedResults = new ArrayList<>();
ImmutableMap.Builder<String, Object> builder = ImmutableMap.builder();
expectedResults.add(new Result<>(DateTimes.of("2011-04-01"), new TimeseriesResultValue(builder.put("rows", 13L).put("index", 6619L).put("uniques", QueryRunnerTestHelper.UNIQUES_9).put(QueryRunnerTestHelper.ADD_ROWS_INDEX_CONSTANT_METRIC, 6633.0).put(QueryRunnerTestHelper.LONG_MIN_INDEX_METRIC, 78L).put(QueryRunnerTestHelper.DOUBLE_MAX_INDEX_METRIC, 1522.043733D).put(QueryRunnerTestHelper.FLOAT_MIN_INDEX_METRIC, 78.62254333496094F).build())));
ImmutableMap.Builder<String, Object> builder2 = ImmutableMap.builder();
expectedResults.add(new Result<>(DateTimes.of("2011-04-02"), new TimeseriesResultValue(builder2.put("rows", 13L).put("index", 5827L).put("uniques", QueryRunnerTestHelper.UNIQUES_9).put(QueryRunnerTestHelper.ADD_ROWS_INDEX_CONSTANT_METRIC, 5841.0).put(QueryRunnerTestHelper.LONG_MIN_INDEX_METRIC, 97L).put(QueryRunnerTestHelper.DOUBLE_MAX_INDEX_METRIC, 1321.375057D).put(QueryRunnerTestHelper.FLOAT_MIN_INDEX_METRIC, 97.38743591308594F).build())));
if (descending) {
Collections.reverse(expectedResults);
}
ImmutableMap.Builder<String, Object> builder3 = ImmutableMap.builder();
expectedResults.add(new Result<>(null, new TimeseriesResultValue(builder3.put("rows", 26L).put("index", 12446L).put("uniques", QueryRunnerTestHelper.UNIQUES_9).put(QueryRunnerTestHelper.ADD_ROWS_INDEX_CONSTANT_METRIC, 12473.0).put(QueryRunnerTestHelper.LONG_MIN_INDEX_METRIC, 78L).put(QueryRunnerTestHelper.DOUBLE_MAX_INDEX_METRIC, 1522.043733D).put(QueryRunnerTestHelper.FLOAT_MIN_INDEX_METRIC, 78.62254333496094F).build())));
// Must create a toolChest so we can run mergeResults (which applies grand totals).
QueryToolChest<Result<TimeseriesResultValue>, TimeseriesQuery> toolChest = new TimeseriesQueryQueryToolChest();
// Must wrapped in a results finalizer to stop the runner's builtin finalizer from being called.
final FinalizeResultsQueryRunner finalRunner = new FinalizeResultsQueryRunner(toolChest.mergeResults(runner), toolChest);
final List results = finalRunner.run(QueryPlus.wrap(query)).toList();
TestHelper.assertExpectedResults(expectedResults, results);
}
Aggregations