Examples with TimeseriesResultBuilder org.apache.druid.query.timeseries.TimeseriesResultBuilder used on opensource projects

Example 1 with TimeseriesResultBuilder

use of org.apache.druid.query.timeseries.TimeseriesResultBuilder in project druid by druid-io.

the class SpecificSegmentQueryRunnerTest method testRetry2.

@SuppressWarnings("unchecked")
@Test
public void testRetry2() throws Exception {
    final ObjectMapper mapper = new DefaultObjectMapper();
    SegmentDescriptor descriptor = new SegmentDescriptor(Intervals.of("2012-01-01T00:00:00Z/P1D"), "version", 0);
    TimeseriesResultBuilder builder = new TimeseriesResultBuilder(DateTimes.of("2012-01-01T00:00:00Z"));
    CountAggregator rows = new CountAggregator();
    rows.aggregate();
    builder.addMetric("rows", rows.get());
    final Result<TimeseriesResultValue> value = builder.build();
    final SpecificSegmentQueryRunner queryRunner = new SpecificSegmentQueryRunner(new QueryRunner() {

        @Override
        public Sequence run(QueryPlus queryPlus, ResponseContext responseContext) {
            return Sequences.withEffect(Sequences.simple(Collections.singletonList(value)), new Runnable() {

                @Override
                public void run() {
                    throw new SegmentMissingException("FAILSAUCE");
                }
            }, Execs.directExecutor());
        }
    }, new SpecificSegmentSpec(descriptor));
    final ResponseContext responseContext = ResponseContext.createEmpty();
    TimeseriesQuery query = Druids.newTimeseriesQueryBuilder().dataSource("foo").granularity(Granularities.ALL).intervals(ImmutableList.of(Intervals.of("2012-01-01T00:00:00Z/P1D"))).aggregators(ImmutableList.of(new CountAggregatorFactory("rows"))).build();
    Sequence results = queryRunner.run(QueryPlus.wrap(query), responseContext);
    List<Result<TimeseriesResultValue>> res = results.toList();
    Assert.assertEquals(1, res.size());
    Result<TimeseriesResultValue> theVal = res.get(0);
    Assert.assertTrue(1L == theVal.getValue().getLongMetric("rows"));
    validate(mapper, descriptor, responseContext);
}