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crates/node/src/pprof.rs

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@@ -149,7 +149,6 @@ async fn handle_request(
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info!("Starting CPU profile for {} seconds", duration);
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handle_cpu_profile(duration).await
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}
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(&Method::GET, "/" | "/debug/pprof") => handle_index().await,
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_ => {
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warn!("Not found: {} {}", req.method(), req.uri().path());
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Ok(Response::builder()
@@ -242,49 +241,6 @@ async fn handle_cpu_profile(duration_secs: u64) -> Result<Response<Full<Bytes>>,
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}
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}
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/// Handle index/help page requests
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async fn handle_index() -> Result<Response<Full<Bytes>>, hyper::Error> {
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let body = r#"<!DOCTYPE html>
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<html>
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<head>
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<title>pprof</title>
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</head>
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<body>
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<h1>pprof - Performance Profiling</h1>
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<p>Available endpoints:</p>
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<ul>
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<li><a href="/debug/pprof/profile?seconds=30">/debug/pprof/profile?seconds=30</a> - CPU profile (30 seconds)</li>
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<li><a href="/debug/pprof/profile?seconds=60">/debug/pprof/profile?seconds=60</a> - CPU profile (60 seconds)</li>
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</ul>
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<h2>Usage Examples</h2>
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<pre>
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# Collect CPU profile
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curl http://localhost:6060/debug/pprof/profile?seconds=30 -o cpu.pb
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# Analyze with Go pprof
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go tool pprof -http=:8080 cpu.pb
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# Generate flamegraph
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pprof -flame cpu.pb > flamegraph.svg
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</pre>
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<h2>Documentation</h2>
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<p>
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This service uses <a href="https://github.com/tikv/pprof-rs">pprof-rs</a> for performance profiling.
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The output is compatible with Google's pprof format and can be analyzed using various tools.
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</p>
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</body>
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</html>
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"#;
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Ok(Response::builder()
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.status(StatusCode::OK)
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.header("Content-Type", "text/html; charset=utf-8")
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.body(Full::new(Bytes::from(body)))
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.unwrap())
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}
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#[cfg(test)]
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mod tests {
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use super::*;

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