satishd commented on code in PR #13067:
URL: https://github.com/apache/kafka/pull/13067#discussion_r1125990307


##########
server-common/src/main/java/org/apache/kafka/server/metrics/KafkaMetricsGroup.java:
##########
@@ -0,0 +1,160 @@
+/*
+ * 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.server.metrics;
+
+import java.util.Collections;
+import java.util.List;
+import java.util.Map;
+import java.util.Optional;
+import java.util.concurrent.TimeUnit;
+import java.util.stream.Collectors;
+
+import com.yammer.metrics.core.Gauge;
+import com.yammer.metrics.core.Histogram;
+import com.yammer.metrics.core.Meter;
+import com.yammer.metrics.core.MetricName;
+import com.yammer.metrics.core.Timer;
+import org.apache.kafka.common.utils.Sanitizer;
+
+public class KafkaMetricsGroup {
+    private final Class<?> klass;
+
+    public KafkaMetricsGroup(Class<?> klass) {
+        this.klass = klass;
+    }
+
+    /**
+     * Creates a new MetricName object for gauges, meters, etc. created for 
this
+     * metrics group.
+     * @param name Descriptive name of the metric.
+     * @param tags Additional attributes which mBean will have.
+     * @return Sanitized metric name object.
+     */
+    public MetricName metricName(String name, Map<String, String> tags) {
+        String pkg;
+        if (klass.getPackage() == null) {
+            pkg = "";
+        } else {
+            pkg = klass.getPackage().getName();
+        }
+        String simpleName = klass.getSimpleName().replaceAll("\\$$", "");
+        return explicitMetricName(pkg, simpleName, name, tags);
+    }
+
+    public static MetricName explicitMetricName(String group, String typeName,
+                                                String name, Map<String, 
String> tags) {
+        StringBuilder nameBuilder = new StringBuilder(100);
+        nameBuilder.append(group);
+        nameBuilder.append(":type=");
+        nameBuilder.append(typeName);
+
+        if (!name.isEmpty()) {
+            nameBuilder.append(",name=");
+            nameBuilder.append(name);
+        }
+
+        String scope = toScope(tags).orElse(null);
+        Optional<String> tagsName = toMBeanName(tags);
+        tagsName.ifPresent(s -> nameBuilder.append(",").append(s));
+
+        return new MetricName(group, typeName, name, scope, 
nameBuilder.toString());
+    }
+
+    public final <T> Gauge<T> newGauge(String name, Gauge<T> metric, 
Map<String, String> tags) {
+        return KafkaYammerMetrics.defaultRegistry().newGauge(metricName(name, 
tags), metric);
+    }
+
+    public final <T> Gauge<T> newGauge(String name, Gauge<T> metric) {
+        return newGauge(name, metric, Collections.emptyMap());
+    }
+
+    public final Meter newMeter(String name, String eventType,
+                                TimeUnit timeUnit, Map<String, String> tags) {
+        return KafkaYammerMetrics.defaultRegistry().newMeter(metricName(name, 
tags), eventType, timeUnit);
+    }
+
+    public final Meter newMeter(String name, String eventType,
+                                TimeUnit timeUnit) {
+        return newMeter(name, eventType, timeUnit, Collections.emptyMap());
+    }
+
+    public final Meter newMeter(MetricName metricName, String eventType, 
TimeUnit timeUnit) {
+        return KafkaYammerMetrics.defaultRegistry().newMeter(metricName, 
eventType, timeUnit);
+    }
+
+    public final Histogram newHistogram(String name, boolean biased, 
Map<String, String> tags) {
+        return 
KafkaYammerMetrics.defaultRegistry().newHistogram(metricName(name, tags), 
biased);
+    }
+
+    public final Histogram newHistogram(String name) {
+        return newHistogram(name, true, Collections.emptyMap());
+    }
+
+    public final Histogram newHistogram(String name, boolean biased) {

Review Comment:
   Are there any usages for this method? We can add it later if needed. 



##########
core/src/main/scala/kafka/network/RequestChannel.scala:
##########
@@ -497,51 +501,59 @@ object RequestMetrics {
   val ErrorsPerSec = "ErrorsPerSec"
 }
 
-class RequestMetrics(name: String) extends KafkaMetricsGroup {
+class RequestMetrics(name: String) {
 
   import RequestMetrics._
 
-  val tags = Map("request" -> name)
+  private val metricsGroup = new KafkaMetricsGroup(this.getClass)
+
+  val tags = Map("request" -> name).asJava
   val requestRateInternal = new Pool[Short, Meter]()
   // time a request spent in a request queue
-  val requestQueueTimeHist = newHistogram(RequestQueueTimeMs, biased = true, 
tags)
+  val requestQueueTimeHist = metricsGroup.newHistogram(RequestQueueTimeMs, 
true, tags)
   // time a request takes to be processed at the local broker
-  val localTimeHist = newHistogram(LocalTimeMs, biased = true, tags)
+  val localTimeHist = metricsGroup.newHistogram(LocalTimeMs, true, tags)
   // time a request takes to wait on remote brokers (currently only relevant 
to fetch and produce requests)
-  val remoteTimeHist = newHistogram(RemoteTimeMs, biased = true, tags)
+  val remoteTimeHist = metricsGroup.newHistogram(RemoteTimeMs, true, tags)
   // time a request is throttled, not part of the request processing time 
(throttling is done at the client level
   // for clients that support KIP-219 and by muting the channel for the rest)
-  val throttleTimeHist = newHistogram(ThrottleTimeMs, biased = true, tags)
+  val throttleTimeHist = metricsGroup.newHistogram(ThrottleTimeMs, true, tags)
   // time a response spent in a response queue
-  val responseQueueTimeHist = newHistogram(ResponseQueueTimeMs, biased = true, 
tags)
+  val responseQueueTimeHist = metricsGroup.newHistogram(ResponseQueueTimeMs, 
true, tags)
   // time to send the response to the requester
-  val responseSendTimeHist = newHistogram(ResponseSendTimeMs, biased = true, 
tags)
-  val totalTimeHist = newHistogram(TotalTimeMs, biased = true, tags)
+  val responseSendTimeHist = metricsGroup.newHistogram(ResponseSendTimeMs, 
true, tags)
+  val totalTimeHist = metricsGroup.newHistogram(TotalTimeMs, true, tags)
   // request size in bytes
-  val requestBytesHist = newHistogram(RequestBytes, biased = true, tags)
+  val requestBytesHist = metricsGroup.newHistogram(RequestBytes, true, tags)
   // time for message conversions (only relevant to fetch and produce requests)
   val messageConversionsTimeHist =
     if (name == ApiKeys.FETCH.name || name == ApiKeys.PRODUCE.name)
-      Some(newHistogram(MessageConversionsTimeMs, biased = true, tags))
+      Some(metricsGroup.newHistogram(MessageConversionsTimeMs, true, tags))
     else
       None
   // Temporary memory allocated for processing request (only populated for 
fetch and produce requests)
   // This shows the memory allocated for compression/conversions excluding the 
actual request size
   val tempMemoryBytesHist =
     if (name == ApiKeys.FETCH.name || name == ApiKeys.PRODUCE.name)
-      Some(newHistogram(TemporaryMemoryBytes, biased = true, tags))
+      Some(metricsGroup.newHistogram(TemporaryMemoryBytes, true, tags))
     else
       None
 
   private val errorMeters = mutable.Map[Errors, ErrorMeter]()
   Errors.values.foreach(error => errorMeters.put(error, new ErrorMeter(name, 
error)))
 
-  def requestRate(version: Short): Meter = {
-    requestRateInternal.getAndMaybePut(version, newMeter(RequestsPerSec, 
"requests", TimeUnit.SECONDS, tags + ("version" -> version.toString)))
+  def requestRate(version: Short): Meter =
+    requestRateInternal.getAndMaybePut(version, 
metricsGroup.newMeter(RequestsPerSec, "requests", TimeUnit.SECONDS, 
tagsWithVersion(version)))
+
+  def tagsWithVersion(version: Short): java.util.Map[String, String] = {

Review Comment:
   It can be a private method as it is accessed only with in the class. 



##########
server-common/src/main/java/org/apache/kafka/server/metrics/KafkaMetricsGroup.java:
##########
@@ -0,0 +1,160 @@
+/*
+ * 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.server.metrics;
+
+import java.util.Collections;
+import java.util.List;
+import java.util.Map;
+import java.util.Optional;
+import java.util.concurrent.TimeUnit;
+import java.util.stream.Collectors;
+
+import com.yammer.metrics.core.Gauge;
+import com.yammer.metrics.core.Histogram;
+import com.yammer.metrics.core.Meter;
+import com.yammer.metrics.core.MetricName;
+import com.yammer.metrics.core.Timer;
+import org.apache.kafka.common.utils.Sanitizer;
+
+public class KafkaMetricsGroup {
+    private final Class<?> klass;
+
+    public KafkaMetricsGroup(Class<?> klass) {
+        this.klass = klass;
+    }
+
+    /**
+     * Creates a new MetricName object for gauges, meters, etc. created for 
this
+     * metrics group.
+     * @param name Descriptive name of the metric.
+     * @param tags Additional attributes which mBean will have.
+     * @return Sanitized metric name object.
+     */
+    public MetricName metricName(String name, Map<String, String> tags) {
+        String pkg;
+        if (klass.getPackage() == null) {
+            pkg = "";
+        } else {
+            pkg = klass.getPackage().getName();
+        }
+        String simpleName = klass.getSimpleName().replaceAll("\\$$", "");
+        return explicitMetricName(pkg, simpleName, name, tags);
+    }
+
+    public static MetricName explicitMetricName(String group, String typeName,
+                                                String name, Map<String, 
String> tags) {
+        StringBuilder nameBuilder = new StringBuilder(100);
+        nameBuilder.append(group);
+        nameBuilder.append(":type=");
+        nameBuilder.append(typeName);
+
+        if (!name.isEmpty()) {
+            nameBuilder.append(",name=");
+            nameBuilder.append(name);
+        }
+
+        String scope = toScope(tags).orElse(null);
+        Optional<String> tagsName = toMBeanName(tags);
+        tagsName.ifPresent(s -> nameBuilder.append(",").append(s));
+
+        return new MetricName(group, typeName, name, scope, 
nameBuilder.toString());
+    }
+
+    public final <T> Gauge<T> newGauge(String name, Gauge<T> metric, 
Map<String, String> tags) {
+        return KafkaYammerMetrics.defaultRegistry().newGauge(metricName(name, 
tags), metric);
+    }
+
+    public final <T> Gauge<T> newGauge(String name, Gauge<T> metric) {
+        return newGauge(name, metric, Collections.emptyMap());
+    }
+
+    public final Meter newMeter(String name, String eventType,
+                                TimeUnit timeUnit, Map<String, String> tags) {
+        return KafkaYammerMetrics.defaultRegistry().newMeter(metricName(name, 
tags), eventType, timeUnit);
+    }
+
+    public final Meter newMeter(String name, String eventType,
+                                TimeUnit timeUnit) {
+        return newMeter(name, eventType, timeUnit, Collections.emptyMap());
+    }
+
+    public final Meter newMeter(MetricName metricName, String eventType, 
TimeUnit timeUnit) {
+        return KafkaYammerMetrics.defaultRegistry().newMeter(metricName, 
eventType, timeUnit);
+    }
+
+    public final Histogram newHistogram(String name, boolean biased, 
Map<String, String> tags) {
+        return 
KafkaYammerMetrics.defaultRegistry().newHistogram(metricName(name, tags), 
biased);
+    }
+
+    public final Histogram newHistogram(String name) {
+        return newHistogram(name, true, Collections.emptyMap());
+    }
+
+    public final Histogram newHistogram(String name, boolean biased) {
+        return newHistogram(name, biased, Collections.emptyMap());
+    }
+
+    public final Histogram newHistogram(String name, Map<String, String> tags) 
{

Review Comment:
   Are there any usages for this method? We can add it later if needed. 



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