⚡️ Speed up function create_span_decorator
by 6%
#47
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📄 6% (0.06x) speedup for
create_span_decorator
insentry_sdk/tracing_utils.py
⏱️ Runtime :
11.2 microseconds
→10.6 microseconds
(best of17
runs)📝 Explanation and details
The optimized code achieves a 5% speedup by eliminating redundant computations that were happening on every function call. The key optimizations are:
Pre-computed Values: Instead of calling
qualname_from_function(f)
,inspect.iscoroutinefunction(f)
, andinspect.signature(f)
repeatedly during each decorated function invocation, these are computed once during decorator creation and cached asqualname
,iscoroutine
, andsignature
.Partial Function for Span Names: The original code reconstructed span names on every call using
_get_span_name(template, function_name, kwargs)
. The optimized version usesfunctools.partial
to pre-bind the static arguments (template
andfunction_name
), creatingspan_name_partial
that only needs the dynamickwargs
parameter.Optimized Attribute Handling: The original code used
attributes or {}
which creates a new empty dict on every call whenattributes
is None. The optimized version uses an explicitif attributes:
check, only callingspan.update_data({})
when needed.Shared Logic Extraction: The common span validation logic is extracted into
_common_before()
, reducing code duplication between sync and async wrappers.These optimizations are particularly effective for high-frequency decorated functions where the decorator overhead becomes noticeable. The 5% improvement comes from avoiding repeated string operations, function calls, and object allocations that were happening on every invocation of the decorated function.
✅ Correctness verification report:
⚙️ Existing Unit Tests and Runtime
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-create_span_decorator-mg9n6lto
and push.