Package org.apache.hadoop.hbase.metrics.histogram

Examples of org.apache.hadoop.hbase.metrics.histogram.Snapshot

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        histogram.getName() + "Mean",
        StringUtils.limitDecimalTo2(histogram.getMean()));
    sb = Strings.appendKeyValue(sb,
        histogram.getName() + "Count",
        StringUtils.limitDecimalTo2(histogram.getCount()));
    final Snapshot s = histogram.getSnapshot();
    sb = Strings.appendKeyValue(sb,
        histogram.getName() + "Median",
        StringUtils.limitDecimalTo2(s.getMedian()));
    sb = Strings.appendKeyValue(sb,
        histogram.getName() + "75th",
        StringUtils.limitDecimalTo2(s.get75thPercentile()));
    sb = Strings.appendKeyValue(sb,
        histogram.getName() + "95th",
        StringUtils.limitDecimalTo2(s.get95thPercentile()));
    sb = Strings.appendKeyValue(sb,
        histogram.getName() + "99th",
        StringUtils.limitDecimalTo2(s.get99thPercentile()));
    sb = Strings.appendKeyValue(sb,
        histogram.getName() + "999th",
        StringUtils.limitDecimalTo2(s.get999thPercentile()));
    return sb;
  }
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      for (int i = 0; i < 1000; i++) {
          sample.update(i);
      }
      Assert.assertEquals(100, sample.size());
     
      final Snapshot snapshot = sample.getSnapshot();
      Assert.assertEquals(100, snapshot.size());

      for (double i : snapshot.getValues()) {
        Assert.assertTrue(i >= 0.0 && i < 1000.0);
      }
  }
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      for (int i = 0; i < 10; i++) {
          sample.update(i);
      }
      Assert.assertEquals(10, sample.size());

      final Snapshot snapshot = sample.getSnapshot();
      Assert.assertEquals(10, sample.size());

      for (double i : snapshot.getValues()) {
        Assert.assertTrue(i >= 0.0 && i < 1000.0);
      }
  }
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    for (int i = 0; i < data.length; i++) {
      data[i] = (long) (r.nextGaussian() * 10000.0);
      h.update(data[i]);
    }

    final Snapshot s = h.getSnapshot();
    Arrays.sort(data);

    // as long as the histogram chooses an item with index N+/-slop, accept it
    final int slop = 20;

    // make sure the median, 75th percentile and 95th percentile are good
    final int medianIndex = data.length / 2;
    final long minAcceptableMedian = data[safeIndex(medianIndex - slop,
        data.length)];
    final long maxAcceptableMedian = data[safeIndex(medianIndex + slop,
        data.length)];
    Assert.assertTrue(s.getMedian() >= minAcceptableMedian
        && s.getMedian() <= maxAcceptableMedian);

    final int seventyFifthIndex = (int) (data.length * 0.75);
    final long minAcceptableseventyFifth = data[safeIndex(seventyFifthIndex
        - slop, data.length)];
    final long maxAcceptableseventyFifth = data[safeIndex(seventyFifthIndex
        + slop, data.length)];
    Assert.assertTrue(s.get75thPercentile() >= minAcceptableseventyFifth
        && s.get75thPercentile() <= maxAcceptableseventyFifth);

    final int ninetyFifthIndex = (int) (data.length * 0.95);
    final long minAcceptableninetyFifth = data[safeIndex(ninetyFifthIndex
        - slop, data.length)];
    final long maxAcceptableninetyFifth = data[safeIndex(ninetyFifthIndex
        + slop, data.length)];
    Assert.assertTrue(s.get95thPercentile() >= minAcceptableninetyFifth
        && s.get95thPercentile() <= maxAcceptableninetyFifth);

  }
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Related Classes of org.apache.hadoop.hbase.metrics.histogram.Snapshot

  • org.apache.hadoop.hbase.metrics.TestExponentiallyDecayingSample
  • org.apache.hadoop.hbase.metrics.TestMetricsHistogram
  • org.apache.hadoop.hbase.regionserver.metrics.RegionServerMetrics
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