import org.apache.hadoop.metrics2.util.MetricSampleQuantiles; //导入依赖的package包/类
/**
 * Instantiates a new {@link MetricMutableQuantiles} for a metric that rolls itself over on the
 * specified time interval.
 *
 * @param name        of the metric
 * @param description long-form textual description of the metric
 * @param sampleName  type of items in the stream (e.g., "Ops")
 * @param valueName   type of the values
 * @param interval    rollover interval (in seconds) of the estimator
 */
public MetricMutableQuantiles(String name, String description, String sampleName,
                              String valueName, int interval) {
  String ucName = StringUtils.capitalize(name);
  String usName = StringUtils.capitalize(sampleName);
  String uvName = StringUtils.capitalize(valueName);
  String desc = StringUtils.uncapitalize(description);
  String lsName = StringUtils.uncapitalize(sampleName);
  String lvName = StringUtils.uncapitalize(valueName);

  numInfo = info(ucName + "Num" + usName, String.format(
      "Number of %s for %s with %ds interval", lsName, desc, interval));
  // Construct the MetricsInfos for the quantiles, converting to percentiles
  quantileInfos = new MetricsInfo[quantiles.length];
  String nameTemplate = "%s%dthPercentile%dsInterval%s";
  String descTemplate = "%d percentile %s with %d second interval for %s";
  for (int i = 0; i < quantiles.length; i++) {
    int percentile = (int) (100 * quantiles[i].quantile);
    quantileInfos[i] = info(String.format(nameTemplate, ucName, percentile, interval, uvName),
        String.format(descTemplate, percentile, lvName, interval, desc));
  }

  estimator = new MetricSampleQuantiles(quantiles);
  executor = new MetricsExecutorImpl();
  this.interval = interval;
  executor.getExecutor().scheduleAtFixedRate(new RolloverSample(this),
      interval,
      interval,
      TimeUnit.SECONDS);
}
 

import org.apache.hadoop.metrics2.util.MetricSampleQuantiles; //导入依赖的package包/类
/**
 * Instantiates a new {@link MetricMutableQuantiles} for a metric that rolls itself over on the
 * specified time interval.
 *
 * @param name        of the metric
 * @param description long-form textual description of the metric
 * @param sampleName  type of items in the stream (e.g., "Ops")
 * @param valueName   type of the values
 * @param interval    rollover interval (in seconds) of the estimator
 */
public MetricMutableQuantiles(String name, String description, String sampleName,
                              String valueName, int interval) {
  super(name, description);

  estimator = new MetricSampleQuantiles(quantiles);

  executor = new MetricsExecutorImpl();

  this.interval = interval;
  executor.getExecutor().scheduleAtFixedRate(new RolloverSample(this),
      interval,
      interval,
      TimeUnit.SECONDS);
}
 

import org.apache.hadoop.metrics2.util.MetricSampleQuantiles; //导入依赖的package包/类
/**
 * Instantiates a new {@link MetricMutableQuantiles} for a metric that rolls itself over on the
 * specified time interval.
 *
 * @param name        of the metric
 * @param description long-form textual description of the metric
 * @param sampleName  type of items in the stream (e.g., "Ops")
 * @param valueName   type of the values
 * @param interval    rollover interval (in seconds) of the estimator
 */
public MetricMutableQuantiles(String name, String description, String sampleName,
                              String valueName, int interval) {
  String ucName = StringUtils.capitalize(name);
  String usName = StringUtils.capitalize(sampleName);
  String uvName = StringUtils.capitalize(valueName);
  String desc = StringUtils.uncapitalize(description);
  String lsName = StringUtils.uncapitalize(sampleName);
  String lvName = StringUtils.uncapitalize(valueName);

  numInfo = info(ucName + "Num" + usName, String.format(
      "Number of %s for %s with %ds interval", lsName, desc, interval));
  // Construct the MetricsInfos for the quantiles, converting to percentiles
  quantileInfos = new MetricsInfo[quantiles.length];
  String nameTemplate = ucName + "%dthPercentile" + interval + "sInterval"
      + uvName;
  String descTemplate = "%d percentile " + lvName + " with " + interval
      + " second interval for " + desc;
  for (int i = 0; i < quantiles.length; i++) {
    int percentile = (int) (100 * quantiles[i].quantile);
    quantileInfos[i] = info(String.format(nameTemplate, percentile),
        String.format(descTemplate, percentile));
  }

  estimator = new MetricSampleQuantiles(quantiles);
  executor = new MetricsExecutorImpl();
  this.interval = interval;
  executor.getExecutor().scheduleAtFixedRate(new RolloverSample(this),
      interval,
      interval,
      TimeUnit.SECONDS);
}