[GitHub] [incubator-gobblin] autumnust commented on a change in pull request #2928: GOBBLIN-1087: Track and report histogram of observed lag from Gobblin…

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autumnust commented on a change in pull request #2928: GOBBLIN-1087: Track and report histogram of observed lag from Gobblin…
URL: https://github.com/apache/incubator-gobblin/pull/2928#discussion_r393756273
 
 

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 File path: gobblin-modules/gobblin-kafka-common/src/jmh/java/org/apache/gobblin/source/extractor/extract/kafka/HdrHistogramPerformanceBenchmark.java
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+/*
+ * 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.gobblin.source.extractor.extract.kafka;
+
+import java.util.concurrent.TimeUnit;
+import java.util.stream.IntStream;
+
+import org.HdrHistogram.Histogram;
+import org.apache.commons.math3.random.RandomDataGenerator;
+import org.openjdk.jmh.annotations.Benchmark;
+import org.openjdk.jmh.annotations.BenchmarkMode;
+import org.openjdk.jmh.annotations.Fork;
+import org.openjdk.jmh.annotations.Level;
+import org.openjdk.jmh.annotations.Measurement;
+import org.openjdk.jmh.annotations.Mode;
+import org.openjdk.jmh.annotations.OutputTimeUnit;
+import org.openjdk.jmh.annotations.Scope;
+import org.openjdk.jmh.annotations.Setup;
+import org.openjdk.jmh.annotations.State;
+import org.openjdk.jmh.annotations.TearDown;
+import org.openjdk.jmh.annotations.Warmup;
+import org.openjdk.jmh.runner.Runner;
+import org.openjdk.jmh.runner.options.ChainedOptionsBuilder;
+import org.openjdk.jmh.runner.options.OptionsBuilder;
+
+import lombok.extern.slf4j.Slf4j;
+
+
+/**
+ * A micro-benchmark to measure the time taken to serialize a {@link Histogram} instance to its String representation. The
+ * benchmark uses a Random number generator to generate values according to a Uniform Distribution, an adversarial pattern
+ * for a Histogram that is likely to produce more count buckets in comparison with a skewed distribution. The benchmark
+ * provides an upper bound on memory footprint of the histogram, serialization time, as well as the size of the
+ * serialized representation.
+ */
+@Warmup (iterations = 3)
+@Measurement (iterations = 10)
+@BenchmarkMode (value = Mode.AverageTime)
+@Fork (value = 1)
+@OutputTimeUnit (TimeUnit.MILLISECONDS)
+@Slf4j
+public class HdrHistogramPerformanceBenchmark {
+
+  @State (value = Scope.Benchmark)
+  public static class HistogramState {
+    private static long MIN_VALUE = 1;
+    private static long MAX_VALUE = TimeUnit.HOURS.toMillis(24);
+
+    private Histogram histogram1;
+    private Histogram histogram2;
+    private Histogram histogram3;
+    private Histogram histogram4;
+
+    private final RandomDataGenerator random = new RandomDataGenerator();
+
+    @Setup (value = Level.Iteration)
+    public void setUp() {
+      this.histogram1 = buildHistogram(1000000);
+      this.histogram2 = buildHistogram(2000000);
+      this.histogram3 = buildHistogram(4000000);
+      this.histogram4 = buildHistogram(10000000);
 
 Review comment:
   Within our flush time-window, what's the magnitude of #events? Curious on the number ensuring that we are indeed doing stress test here. 

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