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

Example 26 with QuerySegmentSpec

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

the class NestedQueryPushDownTest method testQueryRewriteForPushDown.

@Test
public void testQueryRewriteForPushDown() {
    QuerySegmentSpec intervalSpec = new MultipleIntervalSegmentSpec(Collections.singletonList(Intervals.utc(1500000000000L, 1600000000000L)));
    String outputNameB = "dimBOutput";
    String outputNameAgg = "totalSum";
    GroupByQuery query = GroupByQuery.builder().setDataSource("blah").setQuerySegmentSpec(intervalSpec).setDimensions(new DefaultDimensionSpec("dimA", "dimA"), new DefaultDimensionSpec("dimB", "dimB")).setAggregatorSpecs(new LongSumAggregatorFactory("metASum", "metA"), new LongSumAggregatorFactory("metBSum", "metB")).setGranularity(Granularities.ALL).build();
    GroupByQuery nestedQuery = GroupByQuery.builder().setDataSource(query).setQuerySegmentSpec(intervalSpec).setDimensions(new DefaultDimensionSpec("dimB", outputNameB)).setAggregatorSpecs(new LongSumAggregatorFactory(outputNameAgg, "metASum")).setContext(ImmutableMap.of(GroupByQueryConfig.CTX_KEY_FORCE_PUSH_DOWN_NESTED_QUERY, true)).setGranularity(Granularities.ALL).build();
    QueryToolChest<ResultRow, GroupByQuery> toolChest = groupByFactory.getToolchest();
    GroupByQuery rewrittenQuery = ((GroupByQueryQueryToolChest) toolChest).rewriteNestedQueryForPushDown(nestedQuery);
    Assert.assertEquals(outputNameB, rewrittenQuery.getDimensions().get(0).getDimension());
    Assert.assertEquals(outputNameAgg, rewrittenQuery.getAggregatorSpecs().get(0).getName());
}

Example 27 with QuerySegmentSpec

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

the class NestedQueryPushDownTest method testDimensionFilterOnOuterQuery.

@Test
public void testDimensionFilterOnOuterQuery() {
    QuerySegmentSpec intervalSpec = new MultipleIntervalSegmentSpec(Collections.singletonList(Intervals.utc(1500000000000L, 1600000000000L)));
    GroupByQuery query = GroupByQuery.builder().setDataSource("blah").setDimensions(new DefaultDimensionSpec("dimA", "dimA"), new DefaultDimensionSpec("dimB", "dimB")).setAggregatorSpecs(new LongSumAggregatorFactory("metASum", "metA"), new LongSumAggregatorFactory("metBSum", "metB")).setGranularity(Granularities.ALL).setQuerySegmentSpec(intervalSpec).build();
    GroupByQuery nestedQuery = GroupByQuery.builder().setDataSource(query).setDimensions(new DefaultDimensionSpec("dimA", "newDimA")).setAggregatorSpecs(new LongSumAggregatorFactory("finalSum", "metASum")).setContext(ImmutableMap.of(GroupByQueryConfig.CTX_KEY_FORCE_PUSH_DOWN_NESTED_QUERY, true)).setGranularity(Granularities.ALL).setDimFilter(new JavaScriptDimFilter("dimA", "function(dim){ return dim == 'mango' }", null, JavaScriptConfig.getEnabledInstance())).setQuerySegmentSpec(intervalSpec).build();
    ResultRow expectedRow0 = GroupByQueryRunnerTestHelper.createExpectedRow(nestedQuery, "2017-07-14T02:40:00.000Z", "finalSum", 4000L, "newDimA", "mango");
    Sequence<ResultRow> queryResult = runNestedQueryWithForcePushDown(nestedQuery);
    List<ResultRow> results = queryResult.toList();
    Assert.assertEquals(1, results.size());
    Assert.assertEquals(expectedRow0, results.get(0));
}

Example 28 with QuerySegmentSpec

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

Example 29 with QuerySegmentSpec

use of org.apache.druid.query.spec.QuerySegmentSpec 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();
}

Example 30 with QuerySegmentSpec

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

the class KafkaIndexTaskTest method testKafkaRecordEntityInputFormat.

@Test(timeout = 60_000L)
public void testKafkaRecordEntityInputFormat() throws Exception {
    // Insert data
    insertData(Iterables.limit(records, 3));
    final KafkaIndexTask task = createTask(null, new DataSchema("test_ds", new TimestampSpec("timestamp", "iso", null), new DimensionsSpec(Arrays.asList(new StringDimensionSchema("dim1"), new StringDimensionSchema("dim1t"), new StringDimensionSchema("dim2"), new LongDimensionSchema("dimLong"), new FloatDimensionSchema("dimFloat"), new StringDimensionSchema("kafka.topic"), new LongDimensionSchema("kafka.offset"), new StringDimensionSchema("kafka.header.encoding"))), new AggregatorFactory[] { new DoubleSumAggregatorFactory("met1sum", "met1"), new CountAggregatorFactory("rows") }, new UniformGranularitySpec(Granularities.DAY, Granularities.NONE, null), null), new KafkaIndexTaskIOConfig(0, "sequence0", new SeekableStreamStartSequenceNumbers<>(topic, ImmutableMap.of(0, 0L), ImmutableSet.of()), new SeekableStreamEndSequenceNumbers<>(topic, ImmutableMap.of(0, 5L)), kafkaServer.consumerProperties(), KafkaSupervisorIOConfig.DEFAULT_POLL_TIMEOUT_MILLIS, true, null, null, new TestKafkaInputFormat(INPUT_FORMAT)));
    Assert.assertTrue(task.supportsQueries());
    final ListenableFuture<TaskStatus> future = runTask(task);
    while (countEvents(task) != 3) {
        Thread.sleep(25);
    }
    Assert.assertEquals(Status.READING, task.getRunner().getStatus());
    final QuerySegmentSpec interval = OBJECT_MAPPER.readValue("\"2008/2012\"", QuerySegmentSpec.class);
    List<ScanResultValue> scanResultValues = scanData(task, interval);
    // verify that there are no records indexed in the rollbacked time period
    Assert.assertEquals(3, Iterables.size(scanResultValues));
    int i = 0;
    for (ScanResultValue result : scanResultValues) {
        final Map<String, Object> event = ((List<Map<String, Object>>) result.getEvents()).get(0);
        Assert.assertEquals((long) i++, event.get("kafka.offset"));
        Assert.assertEquals(topic, event.get("kafka.topic"));
        Assert.assertEquals("application/json", event.get("kafka.header.encoding"));
    }
    // insert remaining data
    insertData(Iterables.skip(records, 3));
    // Wait for task to exit
    Assert.assertEquals(TaskState.SUCCESS, future.get().getStatusCode());
    // Check metrics
    Assert.assertEquals(4, task.getRunner().getRowIngestionMeters().getProcessed());
    Assert.assertEquals(0, task.getRunner().getRowIngestionMeters().getUnparseable());
    Assert.assertEquals(0, task.getRunner().getRowIngestionMeters().getThrownAway());
}