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Async Saving Traces (JUD-1289) #478
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Summary of Changes
Hello @Mandolaro, 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 significantly refactors how trace metadata is saved by introducing an asynchronous processing model. Instead of blocking on upsert_trace
calls, these operations are now queued and handled by a dedicated background worker thread. This enhancement is designed to boost application performance and responsiveness by decoupling trace saving from the main application logic, while also ensuring data integrity through comprehensive flushing and shutdown procedures.
Highlights
- Asynchronous Trace Saving: The core
save
operation for trace metadata (upsert_trace
) is now performed asynchronously in a dedicated background thread. This change aims to improve the responsiveness of the main application flow by offloading potentially blocking I/O operations. - Dedicated Background Worker: A new
JudgmentTraceWorker
thread has been introduced withinotel_span_processor
to manage and process trace upsert requests from a thread-safe queue. This ensures that trace saving operations do not block the main execution path. - Graceful Shutdown and Flushing: Robust mechanisms have been added to ensure that all pending trace upserts are processed and flushed before application shutdown or when
force_flush
is explicitly called, minimizing the risk of data loss for background operations. - Synchronous Fallback: In scenarios where the asynchronous trace queue becomes full, the system is designed to gracefully fall back to performing the trace upsert synchronously. This ensures that trace data is still saved, even if the benefits of asynchronous processing are temporarily lost.
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Code Review
This pull request refactors trace saving to be asynchronous using a background worker thread, which is a great step for improving performance. The implementation of the async queue is solid, but I've identified a couple of high-severity issues related to robustness and thread safety that should be addressed. Specifically, there's a risk of data loss on transient network errors and a race condition during the shutdown process. I've also included a medium-severity suggestion to simplify the code by removing a redundant parameter.
π Summary
π₯ Demo of Changes
β Checklist