Package io.druid.query.timeseries

Examples of io.druid.query.timeseries.TimeseriesResultValue

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  public void testRowFiltering()
  {
    List<Result<TimeseriesResultValue>> expectedResults = Arrays.asList(
        new Result<TimeseriesResultValue>(
            new DateTime("2011-01-12T00:00:00.000Z"),
            new TimeseriesResultValue(
                ImmutableMap.<String, Object>builder()
                            .put("rows", 5L)
                            .put("index", 500.0D)
                            .put("addRowsIndexConstant", 506.0D)
                            .put("uniques", 0.0D)
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    for (int i = 0; i < objects.length; i += 3) {
      double avg_impr = ((Number) objects[i + 2]).doubleValue() / ((Number) objects[i + 1]).doubleValue();
      retVal.add(
          new Result<>(
              (DateTime) objects[i],
              new TimeseriesResultValue(
                  ImmutableMap.<String, Object>builder()
                              .put("rows", objects[i + 1])
                              .put("imps", objects[i + 2])
                              .put("impers", objects[i + 2])
                              .put("avg_imps_per_row", avg_impr)
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    List<BySegmentResultValueClass<TimeseriesResultValue>> retVal = Lists.newArrayListWithCapacity(objects.length / 5);
    for (int i = 0; i < objects.length; i += 5) {
      retVal.add(
          new BySegmentResultValueClass<TimeseriesResultValue>(
              Lists.newArrayList(
                  new TimeseriesResultValue(
                      ImmutableMap.of(
                          "rows", objects[i + 1],
                          "imps", objects[i + 2],
                          "impers", objects[i + 2],
                          "avg_imps_per_row",
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    List<Result<TimeseriesResultValue>> retVal = Lists.newArrayListWithCapacity(objects.length / 3);
    for (int i = 0; i < objects.length; i += 3) {
      retVal.add(
          new Result<>(
              (DateTime) objects[i],
              new TimeseriesResultValue(
                  ImmutableMap.of(
                      "rows2", objects[i + 1],
                      "imps", objects[i + 2],
                      "impers2", objects[i + 2]
                  )
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          {
            return Sequences.simple(
                ImmutableList.of(
                    new Result<>(
                        new DateTime(new DateTime("2014-01-09")),
                        new TimeseriesResultValue(ImmutableMap.<String, Object>of("metric", 2))
                    ),
                    new Result<>(
                        new DateTime(new DateTime("2014-01-11")),
                        new TimeseriesResultValue(ImmutableMap.<String, Object>of("metric", 3))
                    ),
                    new Result<>(
                        query.getIntervals().get(0).getEnd(),
                        new TimeseriesResultValue(ImmutableMap.<String, Object>of("metric", 5))
                    )
                )
            );
          }
        },
        new DateTime("2014-08-02").getMillis()
    );

    final Query<Result<TimeseriesResultValue>> query =
        Druids.newTimeseriesQueryBuilder()
              .dataSource("dummy")
              .intervals("2014-07-31/2014-08-05")
              .aggregators(Arrays.<AggregatorFactory>asList(new CountAggregatorFactory("count")))
              .build();

    Assert.assertEquals(
        Lists.newArrayList(
            new Result<>(
                new DateTime("2014-07-31"),
                new TimeseriesResultValue(ImmutableMap.<String, Object>of("metric", 2))
            ),
            new Result<>(
                new DateTime("2014-08-02"),
                new TimeseriesResultValue(ImmutableMap.<String, Object>of("metric", 3))
            ),
            new Result<>(
                new DateTime("2014-08-02"),
                new TimeseriesResultValue(ImmutableMap.<String, Object>of("metric", 5))
            )
        ),
        Sequences.toList(queryRunner.run(query, CONTEXT), Lists.<Result<TimeseriesResultValue>>newArrayList())
    );
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          {
            return Sequences.simple(
                ImmutableList.of(
                    new Result<>(
                        query.getIntervals().get(0).getStart(),
                        new TimeseriesResultValue(ImmutableMap.<String, Object>of("metric", 2))
                    ),
                    new Result<>(
                        query.getIntervals().get(0).getEnd(),
                        new TimeseriesResultValue(ImmutableMap.<String, Object>of("metric", 3))
                    )
                )
            );
          }
        },
        new DateTime("2014-08-02").getMillis()
    );

    final Query<Result<TimeseriesResultValue>> query =
        Druids.newTimeseriesQueryBuilder()
              .dataSource("dummy")
              .intervals("2014-08-06/2014-08-08")
              .aggregators(Arrays.<AggregatorFactory>asList(new CountAggregatorFactory("count")))
              .build();

    Assert.assertEquals(
        Lists.newArrayList(
            new Result<>(
                new DateTime("2014-08-02"),
                new TimeseriesResultValue(ImmutableMap.<String, Object>of("metric", 2))
            ),
            new Result<>(
                new DateTime("2014-08-02"),
                new TimeseriesResultValue(ImmutableMap.<String, Object>of("metric", 3))
            )
        ),
        Sequences.toList(queryRunner.run(query, Maps.<String, Object>newHashMap()), Lists.<Result<TimeseriesResultValue>>newArrayList())
    );
  }
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                  public Result<TimeseriesResultValue> apply(final Row input)
                  {
                    MapBasedRow row = (MapBasedRow) input;

                    return new Result<TimeseriesResultValue>(
                        row.getTimestamp(), new TimeseriesResultValue(row.getEvent())
                    );
                  }
                }
            );
          }
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            } else {
              return Sequences.simple(
                  Arrays.asList(
                      new Result<>(
                          new DateTime(),
                          new TimeseriesResultValue(
                              Maps.<String, Object>newHashMap()
                          )
                      )
                  )
              );
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            } else {
              return Sequences.simple(
                  Arrays.asList(
                      new Result<>(
                          new DateTime(),
                          new TimeseriesResultValue(
                              Maps.<String, Object>newHashMap()
                          )
                      )
                  )
              );
View Full Code Here
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Related Classes of io.druid.query.timeseries.TimeseriesResultValue

  • io.druid.client.CachingClusteredClientTest
  • io.druid.query.groupby.GroupByTimeseriesQueryRunnerTest
  • io.druid.query.RetryQueryRunnerTest
  • io.druid.query.TimewarpOperatorTest
  • io.druid.segment.AppendTest
  • io.druid.segment.filter.SpatialFilterBonusTest
  • io.druid.segment.filter.SpatialFilterTest
  • io.druid.segment.SchemalessTestFull
  • io.druid.segment.SchemalessTestSimple
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