C0urante commented on code in PR #13776:
URL: https://github.com/apache/kafka/pull/13776#discussion_r1212118898


##########
jmh-benchmarks/src/main/java/org/apache/kafka/jmh/connect/ReplaceFieldBenchmark.java:
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@@ -0,0 +1,78 @@
+/*
+ * 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.connect;
+
+import org.apache.kafka.connect.source.SourceRecord;
+import org.apache.kafka.connect.transforms.ReplaceField;
+import org.openjdk.jmh.annotations.Benchmark;
+import org.openjdk.jmh.annotations.BenchmarkMode;
+import org.openjdk.jmh.annotations.Fork;
+import org.openjdk.jmh.annotations.Measurement;
+import org.openjdk.jmh.annotations.Mode;
+import org.openjdk.jmh.annotations.OutputTimeUnit;
+import org.openjdk.jmh.annotations.Param;
+import org.openjdk.jmh.annotations.Scope;
+import org.openjdk.jmh.annotations.Setup;
+import org.openjdk.jmh.annotations.State;
+import org.openjdk.jmh.annotations.Warmup;
+
+import java.util.HashMap;
+import java.util.Map;
+import java.util.concurrent.TimeUnit;
+import java.util.stream.Collectors;
+import java.util.stream.IntStream;
+
+
+/**
+ * This benchmark tests the performance of the {@link ReplaceField} {@link 
org.apache.kafka.connect.transforms.Transformation SMT}
+ * when configured with a large number of include and exclude fields and 
applied on a {@link SourceRecord} containing a similarly
+ * large number of fields.
+ */
+@State(Scope.Benchmark)
+@Fork(value = 1)
+@Warmup(iterations = 3)
+@Measurement(iterations = 5)
+@BenchmarkMode(Mode.AverageTime)
+@OutputTimeUnit(TimeUnit.NANOSECONDS)
+public class ReplaceFieldBenchmark {
+
+    @Param({"100", "1000", "10000"})
+    private int fieldCount;
+    private ReplaceField<SourceRecord> replaceFieldSmt;
+    private SourceRecord record;
+
+    @Setup
+    public void setup() {
+        this.replaceFieldSmt = new ReplaceField.Value<>();
+        Map<String, String> replaceFieldConfigs = new HashMap<>();
+        replaceFieldConfigs.put("exclude",
+                IntStream.range(0, fieldCount).filter(x -> (x & 1) == 
0).mapToObj(x -> "Field-" + x).collect(Collectors.joining(",")));
+        replaceFieldConfigs.put("include",
+                IntStream.range(0, fieldCount).filter(x -> (x & 1) == 
1).mapToObj(x -> "Field-" + x).collect(Collectors.joining(",")));

Review Comment:
   Object lookup in a hash set usually involves both computing its hash and 
performing an equality check, since multiple objects may occupy the same 
bucket. Lookup in a single-element list may theoretically be faster if it only 
involves a single equality check.
   
   I think it's worth including in the benchmark for a few reasons:
   - Saves people the trouble of having to look up this PR discussion
   - Covers a more-common case (it's much more likely that someone configures 
this SMT with 1 field than 10,000)
   - Guards against performance regressions if we change things in the future
   
   But if it's too much work then we can merge as-is. @yashmayya let me know 
what your decision is.



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