Java MetricsRegistry.add方法代码示例

import org.apache.hadoop.metrics.util.MetricsRegistry; //导入方法依赖的package包/类
/**
 * Constructor to create a new counter metric
 * @param nam         the name to publish this metric under
 * @param registry    where the metrics object will be registered
 * @param description metrics description
 * @param topN        how many 'keys' to publish metrics on 
 */
public ExactCounterMetric(final String nam, final MetricsRegistry registry, 
    final String description, int topN) {
  super(nam, description);

  this.counts = new MapMaker().makeComputingMap(
      new Function<String, Counter>() {
        @Override
        public Counter apply(String input) {
          return new Counter();
        }    
      });

  this.lock = new ReentrantReadWriteLock();
  this.topN = topN;

  if (registry != null) {
    registry.add(nam, this);      
  }
}
 

import org.apache.hadoop.metrics.util.MetricsRegistry; //导入方法依赖的package包/类
/**
 * Constructor to create a new histogram metric
 * @param nam           the name to publish the metric under
 * @param registry      where the metrics object will be registered
 * @param description   the metric's description
 * @param forwardBiased true if you want this histogram to give more 
 *                      weight to recent data, 
 *                      false if you want all data to have uniform weight
 */
public MetricsHistogram(final String nam, final MetricsRegistry registry, 
    final String description, boolean forwardBiased) {
  super(nam, description);

  this.min = new AtomicLong();
  this.max = new AtomicLong();
  this.sum = new AtomicLong();
  this.sample = forwardBiased ? 
      new ExponentiallyDecayingSample(DEFAULT_SAMPLE_SIZE, DEFAULT_ALPHA) 
  : new UniformSample(DEFAULT_SAMPLE_SIZE);

  this.variance =  new AtomicReference<double[]>(new double[]{-1, 0});
  this.count = new AtomicLong();

  this.clear();

  if (registry != null) {
    registry.add(nam, this);      
  }
}
 

import org.apache.hadoop.metrics.util.MetricsRegistry; //导入方法依赖的package包/类
public MetricsRate(final String name, final MetricsRegistry registry,
    final String description) {
  super(name, description);
  this.value = 0;
  this.prevRate = 0;
  this.ts = System.currentTimeMillis();
  registry.add(name, this);
}
 

import org.apache.hadoop.metrics.util.MetricsRegistry; //导入方法依赖的package包/类
private static MetricsRegistry copyMinusHBaseMetrics(final MetricsRegistry mr) {
  MetricsRegistry copy = new MetricsRegistry();
  for (MetricsBase metric : mr.getMetricsList()) {
    if (metric instanceof MetricsRate || metric instanceof MetricsString ||
        metric instanceof MetricsHistogram || metric instanceof ExactCounterMetric) {
      continue;
    }
    copy.add(metric.getName(), metric);
  }
  return copy;
}
 

import org.apache.hadoop.metrics.util.MetricsRegistry; //导入方法依赖的package包/类
/**
   * Constructor to create a new counter metric
   * @param nam         the name to publish this metric under
   * @param registry    where the metrics object will be registered
   * @param description metrics description
   * @param topN        how many 'keys' to publish metrics on
   */
public ExactCounterMetric(final String nam, final MetricsRegistry registry, 
    final String description, int topN) {
  super(nam, description);

  this.lock = new ReentrantReadWriteLock();
  this.topN = topN;

  if (registry != null) {
    registry.add(nam, this);      
  }
}
 

import org.apache.hadoop.metrics.util.MetricsRegistry; //导入方法依赖的package包/类
private static MetricsRegistry copyMinusHBaseMetrics(final MetricsRegistry mr) {
  MetricsRegistry copy = new MetricsRegistry();
  for (MetricsBase metric : mr.getMetricsList()) {
    if (metric instanceof MetricsRate || metric instanceof MetricsString) {
      continue;
    }
    copy.add(metric.getName(), metric);
  }
  return copy;
}
 

import org.apache.hadoop.metrics.util.MetricsRegistry; //导入方法依赖的package包/类
public MetricsString(final String name, final MetricsRegistry registry, 
    final String value) {
  super(name, NO_DESCRIPTION);
  this.value = value;
  registry.add(name, this);
}
 

import org.apache.hadoop.metrics.util.MetricsRegistry; //导入方法依赖的package包/类
public void testMetricsMBeanBaseHistogram()
    throws ReflectionException, AttributeNotFoundException, MBeanException {
  MetricsRegistry mr = new MetricsRegistry();
  MetricsHistogram histo = mock(MetricsHistogram.class);
  Snapshot snap = mock(Snapshot.class);

  //Set up the mocks
  String histoName = "MockHisto";
  when(histo.getName()).thenReturn(histoName);
  when(histo.getCount()).thenReturn(20l);
  when(histo.getMin()).thenReturn(1l);
  when(histo.getMax()).thenReturn(999l);
  when(histo.getMean()).thenReturn(500.2);
  when(histo.getStdDev()).thenReturn(1.2);
  when(histo.getSnapshot()).thenReturn(snap);

  when(snap.getMedian()).thenReturn(490.0);
  when(snap.get75thPercentile()).thenReturn(550.0);
  when(snap.get95thPercentile()).thenReturn(900.0);
  when(snap.get99thPercentile()).thenReturn(990.0);

  mr.add("myTestHisto", histo);

  MetricsMBeanBase mBeanBase = new MetricsMBeanBase(mr, "test");

  assertEquals(new Long(20), mBeanBase
      .getAttribute(histoName + MetricsHistogram.NUM_OPS_METRIC_NAME));
  assertEquals(new Long(1), mBeanBase
      .getAttribute(histoName + MetricsHistogram.MIN_METRIC_NAME));
  assertEquals(new Long(999), mBeanBase
      .getAttribute(histoName + MetricsHistogram.MAX_METRIC_NAME));
  assertEquals(new Float(500.2), mBeanBase
      .getAttribute(histoName + MetricsHistogram.MEAN_METRIC_NAME));
  assertEquals(new Float(1.2), mBeanBase
      .getAttribute(histoName + MetricsHistogram.STD_DEV_METRIC_NAME));

  assertEquals(new Float(490.0), mBeanBase
      .getAttribute(histoName + MetricsHistogram.MEDIAN_METRIC_NAME));
  assertEquals(new Float(550.0), mBeanBase
      .getAttribute(histoName + MetricsHistogram.SEVENTY_FIFTH_PERCENTILE_METRIC_NAME));
  assertEquals(new Float(900.0), mBeanBase
      .getAttribute(histoName + MetricsHistogram.NINETY_FIFTH_PERCENTILE_METRIC_NAME));
  assertEquals(new Float(990.0), mBeanBase
      .getAttribute(histoName + MetricsHistogram.NINETY_NINETH_PERCENTILE_METRIC_NAME));
}
 

import org.apache.hadoop.metrics.util.MetricsRegistry; //导入方法依赖的package包/类
public MetricsString(final String name, final String description, 
    final MetricsRegistry registry, final String value) {
  super(name, description);
  this.value = value;
  registry.add(name, this);
}