⚡️ Speed up method GrpcRunner._prepare_metadata by 58%
#29
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📄 58% (0.58x) speedup for
GrpcRunner._prepare_metadatainpinecone/grpc/grpc_runner.py⏱️ Runtime :
759 microseconds→480 microseconds(best of217runs)📝 Explanation and details
The optimization achieves a 58% speedup by eliminating expensive dictionary unpacking operations and reducing allocations during metadata preparation.
Key optimizations:
Pre-computed fixed metadata: The constructor now stores fixed metadata as both a list of tuples (
_fixed_metadata_items) and a dictionary (fixed_metadata), avoiding repeated dictionary creation and merging operations.Eliminated dictionary unpacking: The original code used expensive dictionary unpacking (
**self.fixed_metadata, **self._request_metadata(), **user_provided_metadata) which creates multiple intermediate dictionaries. The optimized version usesdict.copy()anddict.update()operations instead.Conditional user metadata handling: Added a check
if user_provided_metadata:to avoid unnecessary update operations when no user metadata is provided.Why this is faster:
**operator is expensive in Python as it creates new dictionary objects for each unpacking operationdict.copy()followed bydict.update()is significantly faster than unpacking multiple dictionariesPerformance benefits by test case:
The optimization is especially effective for applications with frequent metadata preparation calls and large amounts of additional/user metadata, which is common in gRPC service implementations.
✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-GrpcRunner._prepare_metadata-mh9rhzdvand push.