content: /*
   * Licensed to the Apache Software Foundation (ASF) under one or more
   * contributor license agreements. See the NOTICE file distributed with
   * this work for additional information regarding copyright ownership.
   * The ASF licenses this file to You under the Apache License, Version 2.0
   * (the "License"); you may not use this file except in compliance with
   * the License. You may obtain a copy of the License at
   *
   *    http://www.apache.org/licenses/LICENSE-2.0
   *
   * Unless required by applicable law or agreed to in writing, software
   * distributed under the License is distributed on an "AS IS" BASIS,
   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   * See the License for the specific language governing permissions and
   * limitations under the License.
   */
  package org.apache.kafka.test;
  
  import org.apache.kafka.common.metrics.Metrics;
  import org.apache.kafka.common.metrics.Sensor;
  import org.apache.kafka.common.metrics.stats.Avg;
  import org.apache.kafka.common.metrics.stats.Max;
  import org.apache.kafka.common.metrics.stats.Percentile;
  import org.apache.kafka.common.metrics.stats.Percentiles;
  import org.apache.kafka.common.metrics.stats.Percentiles.BucketSizing;
  import org.apache.kafka.common.metrics.stats.WindowedCount;
  
  import java.util.Arrays;
  
  public class MetricsBench {
  
      public static void main(String[] args) {
          long iters = Long.parseLong(args[0]);
          Metrics metrics = new Metrics();
          try {
              Sensor parent = metrics.sensor("parent");
              Sensor child = metrics.sensor("child", parent);
              for (Sensor sensor : Arrays.asList(parent, child)) {
                  sensor.add(metrics.metricName(sensor.name() + ".avg", "grp1"), new Avg());
                  sensor.add(metrics.metricName(sensor.name() + ".count", "grp1"), new WindowedCount());
                  sensor.add(metrics.metricName(sensor.name() + ".max", "grp1"), new Max());
                  sensor.add(new Percentiles(1024,
                          0.0,
                          iters,
                          BucketSizing.CONSTANT,
                          new Percentile(metrics.metricName(sensor.name() + ".median", "grp1"), 50.0),
                          new Percentile(metrics.metricName(sensor.name() +  ".p_99", "grp1"), 99.0)));
              }
              long start = System.nanoTime();
              for (int i = 0; i < iters; i++)
                  parent.record(i);
              double elapsed = (System.nanoTime() - start) / (double) iters;
              System.out.printf("%.2f ns per metric recording.%n", elapsed);
          } finally {
              metrics.close();
          }
      }
  }
  