Examples with MultipleIntervalSegmentSpec org.apache.druid.query.spec.MultipleIntervalSegmentSpec used on opensource projects

Example 1 with MultipleIntervalSegmentSpec

use of org.apache.druid.query.spec.MultipleIntervalSegmentSpec in project druid by druid-io.

the class DefaultRequestLogEventTest method testDefaultRequestLogEventSerde.

@Test
public void testDefaultRequestLogEventSerde() throws Exception {
    RequestLogLine nativeLine = RequestLogLine.forNative(new TimeseriesQuery(new TableDataSource("dummy"), new MultipleIntervalSegmentSpec(ImmutableList.of(Intervals.of("2015-01-01/2015-01-02"))), true, VirtualColumns.EMPTY, null, Granularities.ALL, ImmutableList.of(), ImmutableList.of(), 5, ImmutableMap.of("key", "value")), DateTimes.of(2019, 12, 12, 3, 1), "127.0.0.1", new QueryStats(ImmutableMap.of("query/time", 13L, "query/bytes", 10L, "success", true, "identity", "allowAll")));
    DefaultRequestLogEvent defaultRequestLogEvent = new DefaultRequestLogEvent(ImmutableMap.of("service", "druid-service", "host", "127.0.0.1"), "feed", nativeLine);
    String logEventJson = objectMapper.writeValueAsString(defaultRequestLogEvent);
    String expected = "{\"feed\":\"feed\",\"query\":{\"queryType\":\"timeseries\",\"dataSource\":{\"type\":\"table\",\"name\":\"dummy\"},\"intervals\":{\"type\":\"intervals\",\"intervals\":[\"2015-01-01T00:00:00.000Z/2015-01-02T00:00:00.000Z\"]},\"descending\":true,\"virtualColumns\":[],\"filter\":null,\"granularity\":{\"type\":\"all\"},\"aggregations\":[],\"postAggregations\":[],\"limit\":5,\"context\":{\"key\":\"value\"}},\"host\":\"127.0.0.1\",\"timestamp\":\"2019-12-12T03:01:00.000Z\",\"service\":\"druid-service\",\"sql\":null,\"sqlQueryContext\":{},\"remoteAddr\":\"127.0.0.1\",\"queryStats\":{\"query/time\":13,\"query/bytes\":10,\"success\":true,\"identity\":\"allowAll\"}}";
    Assert.assertEquals(objectMapper.readTree(expected), objectMapper.readTree(logEventJson));
}

Example 2 with MultipleIntervalSegmentSpec

use of org.apache.druid.query.spec.MultipleIntervalSegmentSpec 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 3 with MultipleIntervalSegmentSpec

use of org.apache.druid.query.spec.MultipleIntervalSegmentSpec 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 MultipleIntervalSegmentSpec

use of org.apache.druid.query.spec.MultipleIntervalSegmentSpec in project druid by druid-io.

the class GroupByMultiSegmentTest method testHavingAndNoLimitPushDown.

@Test
public void testHavingAndNoLimitPushDown() {
    QueryToolChest<ResultRow, GroupByQuery> toolChest = groupByFactory.getToolchest();
    QueryRunner<ResultRow> theRunner = new FinalizeResultsQueryRunner<>(toolChest.mergeResults(groupByFactory.mergeRunners(executorService, makeGroupByMultiRunners())), (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.ASCENDING)), 1)).setHavingSpec(new GreaterThanHavingSpec("metA", 110)).setGranularity(Granularities.ALL).build();
    Sequence<ResultRow> queryResult = theRunner.run(QueryPlus.wrap(query), ResponseContext.createEmpty());
    List<ResultRow> results = queryResult.toList();
    ResultRow expectedRow = GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970-01-01T00:00:00.000Z", "dimA", "world", "metA", 150L);
    Assert.assertEquals(1, results.size());
    Assert.assertEquals(expectedRow, results.get(0));
}

Example 5 with MultipleIntervalSegmentSpec

use of org.apache.druid.query.spec.MultipleIntervalSegmentSpec 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));
}