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Worker pattern for maximum-parallel-limit #2910
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The original semaphore-based approach created all async operations upfront, which could overwhelm the thread pool and cause deadlock when combined with internal ParallelLimitLockProvider semaphores. Solution: Implement worker pool pattern - Create only maxParallelism number of worker tasks - Workers pull tests from a ConcurrentQueue - Eliminates nested semaphore acquisition - Prevents thread pool exhaustion - Ensures efficient resource usage This fix applies to both ExecuteParallelTestsAsync and ExecuteParallelGroupAsync methods to maintain consistency across all parallel execution paths. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
Claude finished @thomhurst's task —— View job Code Review Complete ✅Todo List:
Code Review SummaryThis PR implements a worker pattern for maximum-parallel-limit to address deadlock issues with the 🟢 Strengths1. Worker Pool Pattern Implementation (
2. TestContext Optimization (
3. Test Generation Improvements
🟡 Minor Observations1. Memory Efficiency 2. Cancellation Handling // Line 366-367: Good cancellation check in worker loop
if (cancellationToken.IsCancellationRequested)
break; 🟢 Performance ConsiderationsExcellent Performance Improvements:
🟢 Security & Best PracticesNo Security Concerns:
🟢 Code QualityHigh Code Quality:
🟢 Test Coverage ImpactPositive Impact:
Recommendation: APPROVE ✅This is a high-quality performance optimization that addresses the deadlock issue effectively. The worker pattern implementation is textbook-correct, the code is clean, and the test coverage is comprehensive. The 565 lines deleted represent optimization in generated code rather than lost functionality. Key Benefits:
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