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https://github.com/Kpa-clawbot/meshcore-analyzer.git
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## Summary Fixes #355 — replaces O(n²) observation dedup in `Load()`, `IngestNewFromDB()`, and `IngestNewObservations()` with an O(1) map-based lookup. ## Changes - Added `obsKeys map[string]bool` field to `StoreTx` for O(1) dedup keyed on `observerID + "|" + pathJSON` - Replaced all 3 linear-scan dedup sites in `store.go` with map lookups - Lazy-init `obsKeys` for transmissions created before this change (in `IngestNewFromDB` and `IngestNewObservations`) - Added regression test (`TestObsDedupCorrectness`) verifying dedup correctness - Added nil-map safety test (`TestObsDedupNilMapSafety`) - Added benchmark comparing map vs linear scan ## Benchmark Results (ARM64, 16 cores) | Observations | Map (O(1)) | Linear (O(n)) | Speedup | |---|---|---|---| | 10 | 34 ns/op | 41 ns/op | 1.2x | | 50 | 34 ns/op | 186 ns/op | 5.5x | | 100 | 34 ns/op | 361 ns/op | 10.6x | | 500 | 34 ns/op | 4,903 ns/op | **146x** | Map lookup is constant time regardless of observation count. The linear scan degrades quadratically — at 500 observations per transmission (realistic for popular packets seen by many observers), the old code is 146x slower per dedup check. All existing tests pass. --------- Co-authored-by: you <you@example.com>
135 lines
3.6 KiB
Go
135 lines
3.6 KiB
Go
package main
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import (
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"fmt"
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"testing"
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)
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// TestObsDedupCorrectness verifies that the map-based dedup produces correct
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// results: no duplicate observations (same observerID + pathJSON) on a single
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// transmission.
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func TestObsDedupCorrectness(t *testing.T) {
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tx := &StoreTx{
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ID: 1,
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Hash: "abc123",
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obsKeys: make(map[string]bool),
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}
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// Add 5 unique observations
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for i := 0; i < 5; i++ {
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obsID := fmt.Sprintf("obs-%d", i)
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pathJSON := fmt.Sprintf(`["path-%d"]`, i)
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dk := obsID + "|" + pathJSON
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if tx.obsKeys[dk] {
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t.Fatalf("observation %d should not be a duplicate", i)
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}
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tx.Observations = append(tx.Observations, &StoreObs{
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ID: i,
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ObserverID: obsID,
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PathJSON: pathJSON,
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})
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tx.obsKeys[dk] = true
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tx.ObservationCount++
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}
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if tx.ObservationCount != 5 {
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t.Fatalf("expected 5 observations, got %d", tx.ObservationCount)
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}
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// Try to add duplicates of each — all should be rejected
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for i := 0; i < 5; i++ {
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obsID := fmt.Sprintf("obs-%d", i)
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pathJSON := fmt.Sprintf(`["path-%d"]`, i)
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dk := obsID + "|" + pathJSON
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if !tx.obsKeys[dk] {
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t.Fatalf("observation %d should be detected as duplicate", i)
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}
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}
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// Same observer, different path — should NOT be a duplicate
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dk := "obs-0" + "|" + `["different-path"]`
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if tx.obsKeys[dk] {
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t.Fatal("different path should not be a duplicate")
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}
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// Different observer, same path — should NOT be a duplicate
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dk = "obs-new" + "|" + `["path-0"]`
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if tx.obsKeys[dk] {
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t.Fatal("different observer should not be a duplicate")
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}
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}
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// TestObsDedupNilMapSafety ensures obsKeys lazy init works for pre-existing
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// transmissions that may not have the map initialized.
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func TestObsDedupNilMapSafety(t *testing.T) {
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tx := &StoreTx{ID: 1, Hash: "abc"}
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// obsKeys is nil — the lazy init pattern used in IngestNewFromDB/IngestNewObservations
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if tx.obsKeys == nil {
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tx.obsKeys = make(map[string]bool)
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}
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dk := "obs1|path1"
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if tx.obsKeys[dk] {
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t.Fatal("should not be duplicate on empty map")
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}
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tx.obsKeys[dk] = true
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if !tx.obsKeys[dk] {
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t.Fatal("should be duplicate after insert")
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}
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}
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// BenchmarkObsDedupMap benchmarks the map-based O(1) dedup approach.
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func BenchmarkObsDedupMap(b *testing.B) {
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for _, obsCount := range []int{10, 50, 100, 500} {
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b.Run(fmt.Sprintf("obs=%d", obsCount), func(b *testing.B) {
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// Pre-populate a tx with obsCount observations
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tx := &StoreTx{
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ID: 1,
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obsKeys: make(map[string]bool),
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}
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for i := 0; i < obsCount; i++ {
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obsID := fmt.Sprintf("obs-%d", i)
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pathJSON := fmt.Sprintf(`["hop-%d"]`, i)
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dk := obsID + "|" + pathJSON
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tx.Observations = append(tx.Observations, &StoreObs{
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ObserverID: obsID,
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PathJSON: pathJSON,
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})
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tx.obsKeys[dk] = true
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}
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// Benchmark: check dedup for a new observation (not duplicate)
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newDK := "new-obs|new-path"
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b.ResetTimer()
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for i := 0; i < b.N; i++ {
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_ = tx.obsKeys[newDK]
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}
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})
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}
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}
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// BenchmarkObsDedupLinear benchmarks the old O(n) linear scan for comparison.
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func BenchmarkObsDedupLinear(b *testing.B) {
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for _, obsCount := range []int{10, 50, 100, 500} {
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b.Run(fmt.Sprintf("obs=%d", obsCount), func(b *testing.B) {
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tx := &StoreTx{ID: 1}
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for i := 0; i < obsCount; i++ {
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tx.Observations = append(tx.Observations, &StoreObs{
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ObserverID: fmt.Sprintf("obs-%d", i),
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PathJSON: fmt.Sprintf(`["hop-%d"]`, i),
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})
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}
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newObsID := "new-obs"
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newPath := "new-path"
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b.ResetTimer()
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for i := 0; i < b.N; i++ {
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for _, existing := range tx.Observations {
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if existing.ObserverID == newObsID && existing.PathJSON == newPath {
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break
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}
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}
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}
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})
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}
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}
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