Examples with Row io.druid.data.input.Row used on opensource projects

Example 81 with Row

use of io.druid.data.input.Row in project druid by druid-io.

the class AggregationTestHelper method makeStringSerdeQueryRunner.

public QueryRunner<Row> makeStringSerdeQueryRunner(final ObjectMapper mapper, final QueryToolChest toolChest, final Query<Row> query, final QueryRunner<Row> baseRunner) {
    return new QueryRunner<Row>() {

        @Override
        public Sequence<Row> run(Query<Row> query, Map<String, Object> map) {
            try {
                Sequence<Row> resultSeq = baseRunner.run(query, Maps.<String, Object>newHashMap());
                final Yielder yielder = resultSeq.toYielder(null, new YieldingAccumulator() {

                    @Override
                    public Object accumulate(Object accumulated, Object in) {
                        yield();
                        return in;
                    }
                });
                String resultStr = mapper.writer().writeValueAsString(yielder);
                TypeFactory typeFactory = mapper.getTypeFactory();
                JavaType baseType = typeFactory.constructType(toolChest.getResultTypeReference());
                List resultRows = Lists.transform(readQueryResultArrayFromString(resultStr), toolChest.makePreComputeManipulatorFn(query, MetricManipulatorFns.deserializing()));
                return Sequences.simple(resultRows);
            } catch (Exception ex) {
                throw Throwables.propagate(ex);
            }
        }
    };
}

Example 82 with Row

use of io.druid.data.input.Row in project druid by druid-io.

the class SinkTest method testSwap.

@Test
public void testSwap() throws Exception {
    final DataSchema schema = new DataSchema("test", null, new AggregatorFactory[] { new CountAggregatorFactory("rows") }, new UniformGranularitySpec(Granularities.HOUR, Granularities.MINUTE, null), new DefaultObjectMapper());
    final Interval interval = new Interval("2013-01-01/2013-01-02");
    final String version = new DateTime().toString();
    RealtimeTuningConfig tuningConfig = new RealtimeTuningConfig(100, new Period("P1Y"), null, null, null, null, null, null, null, null, 0, 0, null, null);
    final Sink sink = new Sink(interval, schema, tuningConfig.getShardSpec(), version, tuningConfig.getMaxRowsInMemory(), tuningConfig.isReportParseExceptions());
    sink.add(new InputRow() {

        @Override
        public List<String> getDimensions() {
            return Lists.newArrayList();
        }

        @Override
        public long getTimestampFromEpoch() {
            return new DateTime("2013-01-01").getMillis();
        }

        @Override
        public DateTime getTimestamp() {
            return new DateTime("2013-01-01");
        }

        @Override
        public List<String> getDimension(String dimension) {
            return Lists.newArrayList();
        }

        @Override
        public float getFloatMetric(String metric) {
            return 0;
        }

        @Override
        public long getLongMetric(String metric) {
            return 0L;
        }

        @Override
        public Object getRaw(String dimension) {
            return null;
        }

        @Override
        public int compareTo(Row o) {
            return 0;
        }
    });
    FireHydrant currHydrant = sink.getCurrHydrant();
    Assert.assertEquals(new Interval("2013-01-01/PT1M"), currHydrant.getIndex().getInterval());
    FireHydrant swapHydrant = sink.swap();
    sink.add(new InputRow() {

        @Override
        public List<String> getDimensions() {
            return Lists.newArrayList();
        }

        @Override
        public long getTimestampFromEpoch() {
            return new DateTime("2013-01-01").getMillis();
        }

        @Override
        public DateTime getTimestamp() {
            return new DateTime("2013-01-01");
        }

        @Override
        public List<String> getDimension(String dimension) {
            return Lists.newArrayList();
        }

        @Override
        public float getFloatMetric(String metric) {
            return 0;
        }

        @Override
        public long getLongMetric(String metric) {
            return 0L;
        }

        @Override
        public Object getRaw(String dimension) {
            return null;
        }

        @Override
        public int compareTo(Row o) {
            return 0;
        }
    });
    Assert.assertEquals(currHydrant, swapHydrant);
    Assert.assertNotSame(currHydrant, sink.getCurrHydrant());
    Assert.assertEquals(new Interval("2013-01-01/PT1M"), sink.getCurrHydrant().getIndex().getInterval());
    Assert.assertEquals(2, Iterators.size(sink.iterator()));
}

Example 83 with Row

use of io.druid.data.input.Row in project druid by druid-io.

the class RealtimeManagerTest method testQueryWithMultipleSegmentSpec.

@Test(timeout = 10_000L)
public void testQueryWithMultipleSegmentSpec() throws IOException, InterruptedException {
    List<Row> expectedResults_both_partitions = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-26", "alias", "business", "rows", 2L, "idx", 260L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-26", "alias", "health", "rows", 2L, "idx", 236L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-26", "alias", "mezzanine", "rows", 4L, "idx", 4556L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-26", "alias", "news", "rows", 2L, "idx", 284L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-26", "alias", "technology", "rows", 2L, "idx", 202L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-27", "alias", "automotive", "rows", 2L, "idx", 288L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-27", "alias", "entertainment", "rows", 2L, "idx", 326L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "automotive", "rows", 2L, "idx", 312L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "business", "rows", 2L, "idx", 248L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "entertainment", "rows", 2L, "idx", 326L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "health", "rows", 2L, "idx", 262L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "mezzanine", "rows", 6L, "idx", 5126L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "news", "rows", 2L, "idx", 254L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "premium", "rows", 6L, "idx", 5276L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "technology", "rows", 2L, "idx", 206L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "travel", "rows", 2L, "idx", 260L));
    List<Row> expectedResults_single_partition_26_28 = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-26", "alias", "business", "rows", 1L, "idx", 130L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-26", "alias", "health", "rows", 1L, "idx", 118L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-26", "alias", "mezzanine", "rows", 2L, "idx", 2278L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-26", "alias", "news", "rows", 1L, "idx", 142L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-26", "alias", "technology", "rows", 1L, "idx", 101L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-27", "alias", "automotive", "rows", 1L, "idx", 144L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-27", "alias", "entertainment", "rows", 1L, "idx", 163L));
    List<Row> expectedResults_single_partition_28_29 = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "automotive", "rows", 1L, "idx", 156L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "business", "rows", 1L, "idx", 124L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "entertainment", "rows", 1L, "idx", 163L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "health", "rows", 1L, "idx", 131L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "mezzanine", "rows", 3L, "idx", 2563L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "news", "rows", 1L, "idx", 127L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "premium", "rows", 3L, "idx", 2638L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "technology", "rows", 1L, "idx", 103L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-03-28", "alias", "travel", "rows", 1L, "idx", 130L));
    chiefStartedLatch.await();
    final Interval interval_26_28 = new Interval("2011-03-26T00:00:00.000Z/2011-03-28T00:00:00.000Z");
    final Interval interval_28_29 = new Interval("2011-03-28T00:00:00.000Z/2011-03-29T00:00:00.000Z");
    final SegmentDescriptor descriptor_26_28_0 = new SegmentDescriptor(interval_26_28, "ver0", 0);
    final SegmentDescriptor descriptor_28_29_0 = new SegmentDescriptor(interval_28_29, "ver1", 0);
    final SegmentDescriptor descriptor_26_28_1 = new SegmentDescriptor(interval_26_28, "ver0", 1);
    final SegmentDescriptor descriptor_28_29_1 = new SegmentDescriptor(interval_28_29, "ver1", 1);
    GroupByQuery query = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.dataSource).setQuerySegmentSpec(new MultipleSpecificSegmentSpec(ImmutableList.<SegmentDescriptor>of(descriptor_26_28_0, descriptor_28_29_0, descriptor_26_28_1, descriptor_28_29_1))).setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("quality", "alias"))).setAggregatorSpecs(Arrays.asList(QueryRunnerTestHelper.rowsCount, new LongSumAggregatorFactory("idx", "index"))).setGranularity(QueryRunnerTestHelper.dayGran).build();
    final Map<Interval, QueryRunner> runnerMap = ImmutableMap.<Interval, QueryRunner>of(interval_26_28, QueryRunnerTestHelper.makeQueryRunner(factory, "druid.sample.numeric.tsv.top", null), interval_28_29, QueryRunnerTestHelper.makeQueryRunner(factory, "druid.sample.numeric.tsv.bottom", null));
    plumber.setRunners(runnerMap);
    plumber2.setRunners(runnerMap);
    Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, query.getQuerySegmentSpec().lookup(query, realtimeManager3), query);
    TestHelper.assertExpectedObjects(expectedResults_both_partitions, results, "");
    results = GroupByQueryRunnerTestHelper.runQuery(factory, realtimeManager3.getQueryRunnerForSegments(query, ImmutableList.<SegmentDescriptor>of(descriptor_26_28_0)), query);
    TestHelper.assertExpectedObjects(expectedResults_single_partition_26_28, results, "");
    results = GroupByQueryRunnerTestHelper.runQuery(factory, realtimeManager3.getQueryRunnerForSegments(query, ImmutableList.<SegmentDescriptor>of(descriptor_28_29_0)), query);
    TestHelper.assertExpectedObjects(expectedResults_single_partition_28_29, results, "");
    results = GroupByQueryRunnerTestHelper.runQuery(factory, realtimeManager3.getQueryRunnerForSegments(query, ImmutableList.<SegmentDescriptor>of(descriptor_26_28_1)), query);
    TestHelper.assertExpectedObjects(expectedResults_single_partition_26_28, results, "");
    results = GroupByQueryRunnerTestHelper.runQuery(factory, realtimeManager3.getQueryRunnerForSegments(query, ImmutableList.<SegmentDescriptor>of(descriptor_28_29_1)), query);
    TestHelper.assertExpectedObjects(expectedResults_single_partition_28_29, results, "");
}

Example 84 with Row

use of io.druid.data.input.Row in project druid by druid-io.

the class GroupByTypeInterfaceBenchmark method querySingleQueryableIndexLongTwice.

@Benchmark
@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.MICROSECONDS)
public void querySingleQueryableIndexLongTwice(Blackhole blackhole) throws Exception {
    QueryRunner<Row> runner = QueryBenchmarkUtil.makeQueryRunner(factory, "qIndex", new QueryableIndexSegment("qIndex", queryableIndexes.get(0)));
    List<Row> results = GroupByTypeInterfaceBenchmark.runQuery(factory, runner, longQuery);
    for (Row result : results) {
        blackhole.consume(result);
    }
    runner = QueryBenchmarkUtil.makeQueryRunner(factory, "qIndex", new QueryableIndexSegment("qIndex", queryableIndexes.get(0)));
    results = GroupByTypeInterfaceBenchmark.runQuery(factory, runner, longQuery);
    for (Row result : results) {
        blackhole.consume(result);
    }
}

Example 85 with Row

use of io.druid.data.input.Row in project druid by druid-io.

the class GroupByTypeInterfaceBenchmark method querySingleQueryableIndexLongThenString.

@Benchmark
@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.MICROSECONDS)
public void querySingleQueryableIndexLongThenString(Blackhole blackhole) throws Exception {
    QueryRunner<Row> runner = QueryBenchmarkUtil.makeQueryRunner(factory, "qIndex", new QueryableIndexSegment("qIndex", queryableIndexes.get(0)));
    List<Row> results = GroupByTypeInterfaceBenchmark.runQuery(factory, runner, longQuery);
    for (Row result : results) {
        blackhole.consume(result);
    }
    runner = QueryBenchmarkUtil.makeQueryRunner(factory, "qIndex", new QueryableIndexSegment("qIndex", queryableIndexes.get(0)));
    results = GroupByTypeInterfaceBenchmark.runQuery(factory, runner, stringQuery);
    for (Row result : results) {
        blackhole.consume(result);
    }
}