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Track range load and split hotspots #225
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Summary of Changes
Hello @bootjp, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request enhances the Engine component by introducing mechanisms for tracking key range access patterns and dynamically splitting 'hot' ranges. This improvement aims to optimize data distribution and performance by preventing single ranges from becoming bottlenecks under high access loads, thereby improving overall system responsiveness and scalability.
Highlights
- Hotspot Detection: Introduced a 'Load' counter to the 'Route' struct to track access frequency for each key range, enabling the identification of 'hot' ranges.
- Automatic Range Splitting: Implemented logic to automatically split key ranges when their access load exceeds a predefined 'hotspotThreshold'. This helps in distributing load more evenly across the system.
- Configurable Engine Initialization: Modified the 'Engine' constructor to allow setting a 'hotspotThreshold' at initialization, enabling or disabling automatic splitting based on configuration.
- Exposed Statistics and Testing: Added a 'Stats' method to the 'Engine' to expose current range loads and included new test cases to validate the load tracking and hotspot splitting functionalities.
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Code Review
This pull request introduces valuable functionality for tracking range load and automatically splitting hotspots. The implementation is clear and includes relevant tests. My review provides suggestions to enhance performance, refine the splitting logic, and improve test coverage. Specifically, I've pointed out a potential performance bottleneck in RecordAccess due to its locking strategy, suggested improvements for load distribution and slice manipulation in splitRange, and recommended making the hotspot splitting test more comprehensive.
| func (e *Engine) RecordAccess(key []byte) { | ||
| e.mu.Lock() | ||
| defer e.mu.Unlock() | ||
| idx := e.routeIndex(key) | ||
| if idx < 0 { | ||
| return | ||
| } | ||
| e.routes[idx].Load++ | ||
| if e.hotspotThreshold > 0 && e.routes[idx].Load >= e.hotspotThreshold { | ||
| e.splitRange(idx) | ||
| } | ||
| } |
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The use of a full e.mu.Lock() in RecordAccess serializes all access recordings, which could become a performance bottleneck under high contention, as this is likely a hot path.
For better concurrency, you could consider a more fine-grained locking approach. For instance, you could use atomic.AddUint64 to increment the Load counter under a read lock (e.mu.RLock). The range splitting, which is a less frequent and more expensive operation, could then acquire a full write lock (e.mu.Lock()) only when the threshold is met.
This change would increase complexity, as you'd need to carefully handle the race condition where a range is split by another goroutine between releasing the read lock and acquiring the write lock (e.g., by re-checking the condition after acquiring the write lock). However, it would significantly improve the scalability of access tracking.
| if len(stats) != 2 { | ||
| t.Fatalf("expected 2 routes after split, got %d", len(stats)) | ||
| } |
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This test correctly verifies that a split occurs, but it could be more robust. It would be beneficial to add more specific assertions to check the properties of the newly created ranges.
I recommend adding checks for:
- The exact
StartandEndkeys of the new ranges to ensure themidpointlogic is working as expected. - The
Loadof the new ranges. Based on the current implementation, they should be 0. If you adopt my suggestion to distribute load, this test should be updated to check for the distributed values (e.g., 1 and 1 in this case).
if len(stats) != 2 {
t.Fatalf("expected 2 routes after split, got %d", len(stats))
}
// Check that the new ranges are correct.
midKey := []byte("a\x00")
if !bytes.Equal(stats[0].Start, []byte("a")) || !bytes.Equal(stats[0].End, midKey) {
t.Errorf("expected first range to be [a, a\\x00), got [%q, %q]", stats[0].Start, stats[0].End)
}
if !bytes.Equal(stats[1].Start, midKey) || !bytes.Equal(stats[1].End, []byte("c")) {
t.Errorf("expected second range to be [a\\x00, c), got [%q, %q]", stats[1].Start, stats[1].End)
}
// Check that load is reset after split.
if stats[0].Load != 0 || stats[1].Load != 0 {
t.Errorf("expected loads to be reset to 0, got %d, %d", stats[0].Load, stats[1].Load)
}Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
| if mid == nil { | ||
| return | ||
| } | ||
| left := Route{Start: r.Start, End: mid, GroupID: r.GroupID, Load: r.Load / 2} |
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🚫 [golangci] reported by reviewdog 🐶
File is not properly formatted (gci)
| return | ||
| } | ||
| left := Route{Start: r.Start, End: mid, GroupID: r.GroupID, Load: r.Load / 2} | ||
| right := Route{Start: mid, End: r.End, GroupID: r.GroupID, Load: r.Load - (r.Load / 2)} |
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🚫 [golangci] reported by reviewdog 🐶
Magic number: 2, in detected (mnd)
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
Summary
Testing
go test ./...https://chatgpt.com/codex/tasks/task_e_68b1f46a2f608324ab808e6b46373eb5