⚡️ Speed up method GrpcRunner.run_asyncio by 34%
#28
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📄 34% (0.34x) speedup for
GrpcRunner.run_asyncioinpinecone/grpc/grpc_runner.py⏱️ Runtime :
1.15 milliseconds→856 microseconds(best of75runs)📝 Explanation and details
The optimization removes an unnecessary async wrapper function that was creating overhead in each call to
run_asyncio.Key change: The original code used a
@wraps(func)decorator to create an innerwrapped()async function, then immediately calledawait wrapped(). This pattern added an extra function call layer and async frame creation/destruction overhead without providing any functional benefit.Specific optimization: The optimized version inlines the wrapper logic directly into the
run_asynciomethod, eliminating:@wraps(func)decorator overheadreturn await wrapped()indirectionPerformance impact: The line profiler shows the elimination of the expensive wrapper creation (originally 20.4% of runtime) and the costly
return await wrapped()call (originally 75.6% of runtime). The optimized version spends most time (80.4%) on the actual metadata preparation and gRPC function call.Throughput benefits: The 8.7% throughput improvement (119,853 → 130,275 operations/second) comes from reduced per-call overhead, making this optimization particularly effective for high-frequency async gRPC operations where the wrapper elimination provides consistent savings across all calls.
The optimization works best for scenarios with many concurrent calls or high-throughput gRPC operations, as demonstrated by the throughput tests where the reduced call stack overhead compounds across multiple simultaneous operations.
✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-GrpcRunner.run_asyncio-mh9rd3dsand push.