anjy7 commented on code in PR #22669:
URL: https://github.com/apache/kafka/pull/22669#discussion_r3479288455


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jmh-benchmarks/src/main/java/org/apache/kafka/jmh/raft/ProtocolCounters.java:
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@@ -0,0 +1,108 @@
+/*
+ * 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.jmh.raft;
+
+import org.apache.kafka.raft.RaftClientBenchmarkContext;
+
+import org.openjdk.jmh.annotations.AuxCounters;
+import org.openjdk.jmh.annotations.Level;
+import org.openjdk.jmh.annotations.Scope;
+import org.openjdk.jmh.annotations.Setup;
+import org.openjdk.jmh.annotations.State;
+
+/**
+ * Secondary, machine-independent work counters reported by the raft 
benchmarks alongside the timing
+ * score, as {@code benchmark:counter} rows.
+ *
+ * <p>Each benchmark calls {@link #drainFrom} every invocation to accumulate 
the work deltas drained
+ * from {@link RaftClientBenchmarkContext}. JMH reads the public numeric 
methods at the end of each
+ * measurement iteration. The public fields are raw totals intended for JSON 
post-processing; divide
+ * them by {@link #operations} to get the exact per-operation value. The 
public methods return
+ * per-operation values for each iteration, so the per-iteration console 
output shows stable values
+ * such as {@code logReadsPerOp = 1.0}. JMH aggregates {@code Type.EVENTS} 
secondary results with
+ * {@code SUM}, so the final summary row will add per-iteration method values 
together when more
+ * than one measurement iteration is used.
+ *
+ * <p>The per-operation values are integer-exact and should be stable across a 
correct refactor of
+ * {@code KafkaRaftClient}: a flush count moving from 1 to 2 per operation is 
a behavioral diff, not
+ * measurement noise. The counters that are zero on a path (e.g. log flushes 
on a caught-up fetch)
+ * are the most useful tripwires, since zero is speed-independent.
+ */
+@State(Scope.Thread)
+@AuxCounters(AuxCounters.Type.EVENTS)
+public class ProtocolCounters {
+    public long logFlushesTotal;
+    public long logReadsTotal;
+    public long logTruncationsTotal;
+    public long rpcRequestsSentTotal;
+    public long rpcResponsesSentTotal;
+    public long quorumStateWritesTotal;
+    public long operations;
+
+    @Setup(Level.Iteration)
+    public void reset() {
+        logFlushesTotal = 0;
+        logReadsTotal = 0;
+        logTruncationsTotal = 0;
+        rpcRequestsSentTotal = 0;
+        rpcResponsesSentTotal = 0;
+        quorumStateWritesTotal = 0;
+        operations = 0;
+    }
+
+    /** Accumulates this invocation's work deltas drained from {@code context} 
into these counters. */
+    public void drainFrom(RaftClientBenchmarkContext context) {
+        logFlushesTotal += context.drainLogFlushes();
+        logReadsTotal += context.drainLogReads();
+        logTruncationsTotal += context.drainLogTruncations();
+        rpcRequestsSentTotal += context.drainRpcRequestsSent();
+        rpcResponsesSentTotal += context.drainRpcResponsesSent();
+        quorumStateWritesTotal += context.drainQuorumStateWrites();
+        operations += 1;
+    }
+
+    public double logFlushesPerOp() {

Review Comment:
   refer - https://github.com/apache/kafka/pull/22669#discussion_r3479287868



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