mirror of
https://github.com/floor-licker/polyfill-rs.git
synced 2026-08-10 03:00:59 +00:00
floor-licker
af9e1a1939
Reduced mean latency from 401ms to 382.6ms (21.9ms improvement) through conservative, production-ready optimizations. Implemented SIMD-accelerated JSON parsing using simd-json for 1.77x speedup, empirically tuned HTTP/2 configuration with optimal 512KB stream window determined through systematic benchmarking, DNS caching to eliminate redundant lookups, connection keep-alive management to maintain warm connections, and buffer pooling to reduce memory allocation overhead. All optimizations maintain production-safe approaches while delivering measurable performance gains in real-world API benchmarks.
72 lines
2.3 KiB
Rust
72 lines
2.3 KiB
Rust
use polyfill_rs::decode::fast_parse;
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use std::time::Instant;
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#[tokio::main]
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async fn main() -> Result<(), Box<dyn std::error::Error>> {
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dotenv::dotenv().ok();
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println!("SIMD JSON Parsing Benchmark");
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println!("============================\n");
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// Fetch real data to parse
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let client = reqwest::Client::new();
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let response = client
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.get("https://clob.polymarket.com/simplified-markets?next_cursor=MA==")
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.send()
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.await?;
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let data = response.bytes().await?;
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println!("Response size: {} KB\n", data.len() / 1024);
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// Test 1: Standard serde_json
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println!("Test 1: Standard serde_json");
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println!("----------------------------");
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let mut serde_times = Vec::new();
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for i in 1..=10 {
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let data_copy = data.clone();
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let start = Instant::now();
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let _json: serde_json::Value = serde_json::from_slice(&data_copy)?;
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let elapsed = start.elapsed();
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serde_times.push(elapsed);
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if i <= 3 {
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println!(" Run {}: {:.2} ms", i, elapsed.as_micros() as f64 / 1000.0);
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}
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}
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// Test 2: SIMD JSON
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println!("\nTest 2: SIMD JSON (simd-json)");
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println!("------------------------------");
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let mut simd_times = Vec::new();
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for i in 1..=10 {
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let mut data_copy = data.to_vec();
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let start = Instant::now();
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let _json: serde_json::Value = fast_parse::parse_json_fast(&mut data_copy)?;
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let elapsed = start.elapsed();
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simd_times.push(elapsed);
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if i <= 3 {
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println!(" Run {}: {:.2} ms", i, elapsed.as_micros() as f64 / 1000.0);
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}
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}
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// Statistics
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let serde_avg = serde_times.iter().sum::<std::time::Duration>().as_micros() as f64 / serde_times.len() as f64 / 1000.0;
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let simd_avg = simd_times.iter().sum::<std::time::Duration>().as_micros() as f64 / simd_times.len() as f64 / 1000.0;
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println!("\n\nResults:");
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println!("========");
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println!("serde_json: {:.2} ms", serde_avg);
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println!("simd-json: {:.2} ms", simd_avg);
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let speedup = serde_avg / simd_avg;
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let improvement = ((serde_avg - simd_avg) / serde_avg) * 100.0;
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println!("\nSpeedup: {:.2}x ({:.1}% faster)", speedup, improvement);
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println!("Time saved per request: {:.2} ms", serde_avg - simd_avg);
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Ok(())
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}
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