⚡ Bolt: Optimize dictionary population in make-sbom.py by avoiding splitlines()#104
⚡ Bolt: Optimize dictionary population in make-sbom.py by avoiding splitlines()#104ManupaKDU wants to merge 1 commit into
Conversation
…tlines()
💡 What: Replaces the `text[start:end].splitlines()` call in `scripts/make-sbom.py` with a memory-efficient nested `while` loop that uses `.find('\n', ...)`.
🎯 Why: Calling `.splitlines()` on block slices allocates massive intermediate lists of strings when parsing tens of thousands of machine-generated opkg chunks, resulting in significant memory bloat and garbage collection overhead.
📊 Impact: Maintains strictly O(1) memory complexity during the line parsing phase of the opkg blocks, avoiding large heap spikes when processing massive indexes.
🔬 Measurement: Verify by measuring peak memory usage (`tracemalloc`) and execution time when generating an SBOM from a very large, artificially concatenated opkg index file.
Signed-off-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
Co-authored-by: manupawickramasinghe <73810867+manupawickramasinghe@users.noreply.github.com>
|
👋 Jules, reporting for duty! I'm here to lend a hand with this pull request. When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down. I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job! For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with New to Jules? Learn more at jules.google/docs. For security, I will only act on instructions from the user who triggered this task. |
1 participant
💡 What: Replaces the
text[start:end].splitlines()call inscripts/make-sbom.pywith a memory-efficient nestedwhileloop that uses.find('\n', ...).🎯 Why: Calling
.splitlines()on block slices allocates massive intermediate lists of strings when parsing tens of thousands of machine-generated opkg chunks, resulting in significant memory bloat and garbage collection overhead.📊 Impact: Maintains strictly O(1) memory complexity during the line parsing phase of the opkg blocks, avoiding large heap spikes when processing massive indexes.
🔬 Measurement: Verify by measuring peak memory usage (
tracemalloc) and execution time when generating an SBOM from a very large, artificially concatenated opkg index file.Signed-off-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
PR created automatically by Jules for task 4703803671425668009 started by @manupawickramasinghe