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GSSwain merged 1 commit into from
Nov 15, 2025
Merged

Adds more detailed analysis for trace id generation #10

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32 changes: 20 additions & 12 deletions _posts/2025-10-26-understanding-jmh-java-microbenchmarking.html
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Expand Up @@ -135,20 +135,20 @@ <h3>Single-Thread Performance (JDK 25)</h3>
<thead>
<tr>
<th>Implementation</th>
<th>Average Time (ns)</th>
<th>Throughput (ops/ns)</th>
<th class="metric-col">Average Time (ns)</th>
<th class="metric-col">Throughput (M ops/s)</th>
</tr>
</thead>
<tbody>
<tr>
<td class="impl-cell highlight-otel">OpenTelemetry</td>
<td class="metric-cell">14.321 ±0.130</td>
<td class="metric-cell">0.069 ±0.001</td>
<td class="metric-cell">69.8 ±0.6</td>
</tr>
<tr>
<td class="impl-cell">UUID</td>
<td class="metric-cell">247.141 ±8.476</td>
<td class="metric-cell">0.004 ±0.001</td>
<td class="metric-cell">4.0 ±0.1</td>
</tr>
</tbody>
</table>
Expand All @@ -159,20 +159,20 @@ <h3>Multi-Thread Performance (10 Threads, JDK 25)</h3>
<thead>
<tr>
<th>Implementation</th>
<th>Average Time (ns)</th>
<th>Throughput (ops/ns)</th>
<th class="metric-col">Average Time (ns)</th>
<th class="metric-col">Throughput (M ops/s)</th>
</tr>
</thead>
<tbody>
<tr>
<td class="impl-cell highlight-otel">OpenTelemetry</td>
<td class="metric-cell">24.967 ±1.525</td>
<td class="metric-cell">0.420 ±0.007</td>
<td class="metric-cell">400.5 ±24.4</td>
</tr>
<tr>
<td class="impl-cell">UUID</td>
<td class="metric-cell">3,761.317 ±65.991</td>
<td class="metric-cell">0.003 ±0.001</td>
<td class="metric-cell">2.7 ±0.1</td>
</tr>
</tbody>
</table>
Expand Down Expand Up @@ -203,6 +203,10 @@ <h3>Multi-Thread Performance (10 Threads, JDK 25)</h3>
text-align: left;
}

.performance-table .metric-col {
width: 33%;
}

.performance-table .metric-cell {
font-family: monospace;
}
Expand Down Expand Up @@ -231,8 +235,8 @@ <h4>1. Single-Thread Analysis</h4>
</li>
<li><strong>Throughput:</strong>
<ul>
<li>OpenTelemetry: 0.069 operations per nanosecond (69 million ops/second)</li>
<li>UUID: 0.004 operations per nanosecond (4 million ops/second)</li>
<li>OpenTelemetry: ~69.8 million ops/second</li>
<li>UUID: ~4.0 million ops/second</li>
</ul>
</li>
</ul>
Expand All @@ -248,8 +252,8 @@ <h4>2. Multi-Thread Analysis (10 Threads)</h4>
</li>
<li><strong>Throughput:</strong>
<ul>
<li>OpenTelemetry: Increases to 0.420 ops/ns (excellent scaling)</li>
<li>UUID: Decreases to 0.003 ops/ns (poor scaling)</li>
<li>OpenTelemetry: Increases to ~400.5 million ops/second (excellent scaling)</li>
<li>UUID: Decreases to ~2.7 million ops/second (poor scaling)</li>
</ul>
</li>
</ul>
Expand All @@ -270,6 +274,10 @@ <h4>3. Key Observations</h4>
</li>
</ul>

<p>
For a complete breakdown of the results across different JDK versions and a deeper analysis of the real-world impact, please see the follow-up post: <a href="/2025/11/15/performance-analysis-trace-id-generation.html">Trace ID Generation: A Performance Analysis of UUID vs. OpenTelemetry</a>.
</p>

<h2>Best Practices</h2>

<p>When writing JMH benchmarks, keep these points in mind:</p>
Expand Down
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