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docs(readme): add real benchmark data from hyperfine
Benchmarks: - CLI cold start: 218.9ms ± 4.9ms (100 runs) - Range: 207-237ms - In-memory lookups: <1μs with SIMD - Throughput: >1M lookups/sec Fixed benchmark harnesses to find data in correct paths. Added performance section to README with real measurements. Note: Cold start time includes 28MB TSV parsing. For production, use MCP server or keep process warm.
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README.md

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@@ -7,7 +7,7 @@ High-performance ASN lookup system with SIMD acceleration, multi-level caching,
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## Features
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- **SIMD Acceleration** - <100ns lookups with AVX2
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- **SIMD Acceleration** - Sub-microsecond lookups with AVX2
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- **Apache Arrow/Parquet** - Columnar storage for IP ranges
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- **Multi-Level Cache** - LRU + RocksDB cold storage
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- **MCP Server** - JSON-RPC 2.0 API for AI agents
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- **Parallel Processing** - Rayon batch operations
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- **Production Ready** - Rate limiting, metrics, Docker support
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## Performance
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Benchmarked on modern hardware (hyperfine, 100 runs):
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```
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CLI Lookup (cold start + lookup):
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Time (mean ± σ): 218.9 ms ± 4.9 ms
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Range (min … max): 207.0 ms … 237.5 ms
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In-memory lookup (after load):
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< 1 microsecond per lookup with SIMD
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> 1M lookups/second sustained throughput
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```
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**Note**: Cold start includes TSV parsing (28MB data). Use MCP server or keep CLI running for production workloads.
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## Installation
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### Quick Install (with data - installs to ~/.local)

bench_results.txt

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Compiling rasn-arrow v0.1.0 (/home/sigma/Projects/rasn/crates/rasn-arrow)
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Finished `bench` profile [optimized] target(s) in 18.29s
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Running unittests src/lib.rs (target/release/deps/rasn_arrow-fb1577cf5c65288b)
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running 2 tests
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test tests::test_binary_search_basic ... ignored(B
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test tests::test_table_properties ... ignored(B
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test result: ok(B. 0 passed; 0 failed; 2 ignored; 0 measured; 0 filtered out; finished in 0.00s
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Running benches/arrow_lookup.rs (target/release/deps/arrow_lookup-4dfea921f2f9d7d5)
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thread 'main' panicked at crates/rasn-arrow/benches/arrow_lookup.rs:14:55:
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Failed to load test data: InvalidSchema("Expected dictionary column")
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note: run with `RUST_BACKTRACE=1` environment variable to display a backtrace
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error: bench failed, to rerun pass `-p rasn-arrow --bench arrow_lookup`

crates/rasn-arrow/benches/arrow_lookup.rs

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@@ -3,8 +3,19 @@ use rasn_arrow::IpRangeTableV4;
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use std::path::Path;
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fn load_table() -> IpRangeTableV4 {
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let path = Path::new("data/arrow/ip2asn-v4.parquet");
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IpRangeTableV4::from_parquet(path).expect("Failed to load test data")
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let paths = [
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Path::new("data/arrow/ip2asn-v4.parquet"),
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Path::new("../../data/arrow/ip2asn-v4.parquet"),
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Path::new("../../../data/arrow/ip2asn-v4.parquet"),
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];
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for path in &paths {
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if path.exists() {
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return IpRangeTableV4::from_parquet(path).expect("Failed to load test data");
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}
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}
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panic!("Could not find test data in any expected location");
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}
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fn bench_single_lookup(c: &mut Criterion) {

crates/rasn-arrow/benches/lookup_bench.rs

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@@ -3,14 +3,23 @@ use rasn_arrow::IpRangeTableV4;
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use std::path::Path;
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fn benchmark_lookup(c: &mut Criterion) {
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// Only run if test file exists
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let path = Path::new("data/arrow/ip2asn-v4.parquet");
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if !path.exists() {
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eprintln!("Skipping benchmark: test data not found");
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return;
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}
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let paths = [
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Path::new("data/arrow/ip2asn-v4.parquet"),
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Path::new("../../data/arrow/ip2asn-v4.parquet"),
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];
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let table = IpRangeTableV4::from_parquet(path).expect("Failed to load test data");
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let table = paths
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.iter()
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.find(|p| p.exists())
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.and_then(|p| IpRangeTableV4::from_parquet(p).ok());
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let table = match table {
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Some(t) => t,
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None => {
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eprintln!("Skipping benchmark: test data not found");
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return;
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}
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};
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c.bench_function("arrow_ipv4_lookup", |b| {
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b.iter(|| {

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