perf: replace Mutex<bool> with AtomicBool for has_color tracking #10
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- Replace Mutex<bool> with AtomicBool in convert_pointcloud function - Use Arc<AtomicBool> in convert_pointclouds for shared access across threads - Use relaxed memory ordering for simple flag tracking - Reduces lock contention and improves parallel processing performance
WalkthroughReplaces per-thread Mutex color tracking with a shared Arc in the parallel path and a plain bool in the single-thread path. Updates LAS writer invocation accordingly. Keeps Mutex for max_cartesian. Simplifies output path construction and adjusts imports. No public API changes. Changes
Sequence Diagram(s)sequenceDiagram
autonumber
actor User
participant Converter as convert_pointclouds
participant Threads as Worker Threads
participant AtomicFlag as Arc<AtomicBool> (has_color)
participant MutexMax as Mutex(max_cartesian)
participant Writer as LAS Writer
User->>Converter: Start batch conversion
Converter->>AtomicFlag: Initialize (false)
Converter->>Threads: Spawn workers per chunk
par For each point
Threads->>Threads: Process point
alt Point has color
Threads->>AtomicFlag: store(true, Relaxed)
end
Threads->>MutexMax: lock/update max_cartesian
end
Threads-->>Converter: Join
Converter->>AtomicFlag: load(Relaxed)
Converter->>Writer: write_las(has_color, max_cartesian, output_path)
Writer-->>User: LAS file(s) created
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~20 minutes Poem
Pre-merge checks and finishing touches✅ Passed checks (3 passed)
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* main: chore: format refactor: replace unwrap() calls with proper error handling fix: invalid ref handling refactor: BTreeMap instead of HashMap docs: fix documentation examples in convert_pointcloud refactor: replace indexing with iterators in save_stations refactor: replace &String with &Path in convert_pointcloud APIs
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Actionable comments posted: 0
🧹 Nitpick comments (6)
src/convert_pointcloud.rs (6)
57-64: Plain bool for single-thread path: LGTM; small branchless nitUsing a plain bool removes unnecessary locking. You can make the assignment branchless.
- if point.color.is_some() { - has_color = true; - } + has_color |= point.color.is_some();
79-81: Tiny path-format simplificationUse a single format call for the filename.
- let path = create_path(output_path.join("las").join(format!("{}{}", index, ".las"))) + let path = create_path(output_path.join("las").join(format!("{index}.las")))
137-138: Shared Arc for parallel color detection: LGTMMinor style nit: Default is a touch shorter.
- let has_color = Arc::new(AtomicBool::new(false)); + let has_color = Arc::new(AtomicBool::default());
156-157: Cut atomic traffic inside hot loopAccumulate locally and do a single store per shard to reduce contention on busy, colored datasets.
- for p in pointcloud_reader { + let mut local_has_color = false; + for p in pointcloud_reader { let point = p.context("Could not read point: ")?; - if point.color.is_some() { - has_color.store(true, Ordering::Relaxed); - } + if point.color.is_some() { + local_has_color = true; + } … - } + } + if local_has_color { + has_color.store(true, Ordering::Relaxed); + }
183-185: Repeat path-format nitSame simplification as above.
- let path = create_path(output_path.join("las").join(format!("{}{}", 0, ".las"))) + let path = create_path(output_path.join("las").join(format!("{0}.las")))
194-195: Relaxed load is fine; add a short rationale commentGiven read happens after the rayon barrier and the flag only flips to true, Relaxed is reasonable. Add a comment to document this assumption.
- has_color.load(Ordering::Relaxed), + has_color.load(Ordering::Relaxed), // safe: read after parallel join; monotonic flag
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📒 Files selected for processing (1)
src/convert_pointcloud.rs(8 hunks)
🧰 Additional context used
🧬 Code graph analysis (1)
src/convert_pointcloud.rs (2)
src/utils.rs (1)
create_path(4-18)src/get_las_writer.rs (1)
get_las_writer(21-49)
🔇 Additional comments (2)
src/convert_pointcloud.rs (2)
4-5: AtomicBool + Arc imports look correctGood switch to lock-free flagging; Mutex is still needed elsewhere.
29-29: No-op doc changeNothing to review here.
Summary
Mutex<bool>withAtomicBoolfor better performance in concurrent scenariosChanges
AtomicBooldirectly instead ofMutex<bool>Arc<AtomicBool>for thread-safe sharingOrdering::Relaxedfor simple flag tracking operationsPerformance Benefits
Test Plan
Summary by CodeRabbit