.that(percentiles().index(index).compute(PSEUDORANDOM_DATASET))
          .isWithin(ALLOWED_ERROR)
          .of(expectedLargeDatasetPercentile(index));
    }
  }

  @AndroidIncompatible // slow
  public void testPercentiles_index_computeInPlace() {
    // Assert that the computation gives the correct result for all possible percentiles.
    for (int index = 0; index <= 100; index++) {

          .that(percentiles().index(index).compute(PSEUDORANDOM_DATASET))
          .isWithin(ALLOWED_ERROR)
          .of(expectedLargeDatasetPercentile(index));
    }
  }

  @AndroidIncompatible // slow
  public void testPercentiles_index_computeInPlace() {
    // Assert that the computation gives the correct result for all possible percentiles.
    for (int index = 0; index <= 100; index++) {

 *
 * <p>To compute the 99th percentile:
 *
 * {@snippet :
 * double myPercentile99 = percentiles().index(99).compute(myDataset);
 * }
 *
 * where {@link #percentiles()} has been statically imported.
 *
 * <p>To compute median and the 90th and 99th percentiles:
 *
 * {@snippet :
 * Map<Integer, Double> myPercentiles =
 *     percentiles().indexes(50, 90, 99).compute(myDataset);
 * }
 *

        regA(builder);
        return builder;
    }

    protected PercentilesAggregationBuilder regPercentilesA(String name, String field) {
        PercentilesAggregationBuilder builder = AggregationBuilders.percentiles(name).field(field);
        regA(builder);
        return builder;
    }

    protected PercentileRanksAggregationBuilder regPercentileRanksA(String name, String field, double[] values) {

        regA(builder);
        return builder;
    }

    protected PercentilesAggregationBuilder regPercentilesA(String name, String field) {
        PercentilesAggregationBuilder builder = AggregationBuilders.percentiles(name).field(field);
        regA(builder);
        return builder;
    }

    protected PercentileRanksAggregationBuilder regPercentileRanksA(String name, String field, double[] values) {

        regA(builder);
        return builder;
    }

    protected PercentilesAggregationBuilder regPercentilesA(String name, String field) {
        PercentilesAggregationBuilder builder = AggregationBuilders.percentiles(name).field(field);
        regA(builder);
        return builder;
    }

    protected PercentileRanksAggregationBuilder regPercentileRanksA(String name, String field, double[] values) {

    }
    return dummy;
  }

  @Benchmark
  double percentile90(int reps) {
    double dummy = 0.0;
    for (int i = 0; i < reps; i++) {
      dummy += algorithm.singleQuantile(90, 100, dataset(i));
    }
    return dummy;
  }

  @Benchmark
  double percentile99(int reps) {
    double dummy = 0.0;
    for (int i = 0; i < reps; i++) {

  - `http_404_request_total` (the number of 404 requests handled)
  - `http_404_request_duration_ms` (the amount of time the server took to respond in ms)

  Also includes percentile groupings. The directory for the default 404 handler includes instructions on how to enable prometheus for monitoring and setting alerts.