⚡️ Speed up function _generate_sqlite_write_code by 54% in PR #1638 (loop-id-calculation-fix-bug)#1639
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The optimized code achieves a **53% speedup** (from 9.66ms to 6.28ms) by eliminating redundant f-string interpolations through strategic pre-computation of commonly used variable names.
**Key Optimization**: The original code repeatedly performs the same f-string interpolation `f"{iter_id}_{call_counter}"` throughout the 35-line return statement. The optimized version pre-computes this pattern once as `iter_counter`, then reuses it to build all variable names like `cf_end_var`, `cf_dur_var`, etc. This transforms expensive repeated string formatting operations into cheap variable lookups.
**Why This Works**:
- F-string interpolation has overhead for parsing the template and converting values to strings on each execution
- The original code performs these interpolations 11 times for `iter_id`+`call_counter` combinations and 6 times for `iter_id`-only patterns
- By computing these strings once upfront (lines that add ~1.5% overhead), we eliminate repetitive work that was consuming ~24% of total time in the return list construction
- Python's string interning and variable lookups are highly optimized, making the pre-computed variable references nearly free
**Test Results**: The optimization shows consistent speedups across all test cases:
- Simple cases: 20-35% faster (e.g., basic functionality test: 7.90μs → 6.43μs)
- Large-scale iteration test (1000 calls): 57.4% faster (5.50ms → 3.49ms), demonstrating the compounding benefit when the function is called repeatedly
- Deep nesting/long parameters: Still 14-24% faster even with extreme inputs
This optimization is particularly valuable given the function generates instrumentation code, meaning it likely runs frequently during code analysis or testing workflows. The speedup compounds significantly in bulk operations without changing behavior or correctness.
PR Review SummaryPrek Checks
Code ReviewNo critical issues found. This PR pre-computes commonly used f-string variable names into local variables in
Note: The Test Coverage
CI StatusCI checks from the previous commit show failures in prek (due to the two remaining ruff issues above), unit-tests, and several Java/JS e2e tests. These failures appear to be inherited from the base branch. A new CI run should be in progress after the whitespace fix commit. Last updated: 2026-02-23 |
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⚡️ This pull request contains optimizations for PR #1638
If you approve this dependent PR, these changes will be merged into the original PR branch
loop-id-calculation-fix-bug.📄 54% (0.54x) speedup for
_generate_sqlite_write_codeincodeflash/languages/java/instrumentation.py⏱️ Runtime :
9.66 milliseconds→6.28 milliseconds(best of185runs)📝 Explanation and details
The optimized code achieves a 53% speedup (from 9.66ms to 6.28ms) by eliminating redundant f-string interpolations through strategic pre-computation of commonly used variable names.
Key Optimization: The original code repeatedly performs the same f-string interpolation
f"{iter_id}_{call_counter}"throughout the 35-line return statement. The optimized version pre-computes this pattern once asiter_counter, then reuses it to build all variable names likecf_end_var,cf_dur_var, etc. This transforms expensive repeated string formatting operations into cheap variable lookups.Why This Works:
iter_id+call_countercombinations and 6 times foriter_id-only patternsTest Results: The optimization shows consistent speedups across all test cases:
This optimization is particularly valuable given the function generates instrumentation code, meaning it likely runs frequently during code analysis or testing workflows. The speedup compounds significantly in bulk operations without changing behavior or correctness.
✅ Correctness verification report:
🌀 Click to see Generated Regression Tests
To edit these changes
git checkout codeflash/optimize-pr1638-2026-02-23T05.48.46and push.