/**
 * 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 java.util.Arrays;

import org.apache.kafka.common.MetricName;
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.Count;
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.StdDev;

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() + ".stddev", "grp1"), new StdDev());
                sensor.add(metrics.metricName(sensor.name() + ".count", "grp1"), new Count());
                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 ellapsed = (System.nanoTime() - start) / (double) iters;
            System.out.println(String.format("%.2f ns per metric recording.", ellapsed));
        } finally {
            metrics.close();
        }
    }
}

@@ -842,51 +842,8 @@
 s;%0A%0A
-import org.apache.kafka.common.MetricName;%0A
 impo

Remove unused class