⚡️ Speed up function _find_java_executable by 13% in PR #1199 (omni-java)#1576
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misrasaurabh1 merged 1 commit intoomni-javafrom Feb 20, 2026
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The optimized code achieves a **13% runtime improvement** primarily through **function-level memoization using `@lru_cache(maxsize=1)`**. This single decorator change provides dramatic speedups in realistic usage patterns where `_find_java_executable()` is called multiple times. **Key optimization:** - **Added `@lru_cache(maxsize=1)` decorator**: Caches the Java executable path after the first lookup, eliminating redundant work on subsequent calls. **Why this improves runtime:** 1. **Eliminates expensive repeated operations**: The original code performs expensive subprocess calls (`mvn --version`, `java --version`) and filesystem checks on every invocation. These operations dominate the runtime (81% spent in a single subprocess call according to line profiler). 2. **Caching transforms repeated calls**: Once the Java path is found, subsequent calls return the cached result instantly. This is especially valuable since: - Java's location is environment-dependent but doesn't change during a program's execution - The function is likely called multiple times when processing Java projects 3. **Minor improvement from import hoisting**: Moving `platform` and `shutil` imports to module scope eliminates ~1ms of repeated import overhead per call (0.3% of total time in original profiler). **Test results validate the optimization:** - Single calls show minimal overhead: ~0-2% difference (e.g., `test_find_using_java_home`: 24.1μs → 23.7μs) - **Repeated calls show massive gains**: The `test_repeated_calls_are_consistent_under_load` demonstrates the cache's impact - 1000 calls go from 10.5ms → 174μs (**5899% faster**) - The second call in `test_empty_and_missing_java_home_behaviour` shows 12.3ms → 441ns (**2.8 million percent faster**) due to cache hit **Trade-offs:** - The cache stores only one result (`maxsize=1`), which is appropriate since Java's location is process-constant - No behavioral changes - all existing tests pass with identical outputs - The cached result won't reflect mid-execution changes to JAVA_HOME or PATH, which is acceptable since such changes are extremely rare and would require process restart anyway This optimization is particularly effective for workflows that invoke Java tooling multiple times, such as build systems, IDEs, or continuous integration pipelines that repeatedly need to locate the Java executable.
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PR Review SummaryPrek ChecksFixed: 1 issue auto-fixed and committed:
All prek checks now pass. Mypy5 pre-existing type errors in
Code ReviewNo critical issues found. The optimization is straightforward and safe:
The caching is appropriate since the Java executable location won't change during a single program run. Test Coverage
Last updated: 2026-02-20 |
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⚡️ This pull request contains optimizations for PR #1199
If you approve this dependent PR, these changes will be merged into the original PR branch
omni-java.📄 13% (0.13x) speedup for
_find_java_executableincodeflash/languages/java/comparator.py⏱️ Runtime :
200 milliseconds→177 milliseconds(best of17runs)📝 Explanation and details
The optimized code achieves a 13% runtime improvement primarily through function-level memoization using
@lru_cache(maxsize=1). This single decorator change provides dramatic speedups in realistic usage patterns where_find_java_executable()is called multiple times.Key optimization:
@lru_cache(maxsize=1)decorator: Caches the Java executable path after the first lookup, eliminating redundant work on subsequent calls.Why this improves runtime:
Eliminates expensive repeated operations: The original code performs expensive subprocess calls (
mvn --version,java --version) and filesystem checks on every invocation. These operations dominate the runtime (81% spent in a single subprocess call according to line profiler).Caching transforms repeated calls: Once the Java path is found, subsequent calls return the cached result instantly. This is especially valuable since:
Minor improvement from import hoisting: Moving
platformandshutilimports to module scope eliminates ~1ms of repeated import overhead per call (0.3% of total time in original profiler).Test results validate the optimization:
test_find_using_java_home: 24.1μs → 23.7μs)test_repeated_calls_are_consistent_under_loaddemonstrates the cache's impact - 1000 calls go from 10.5ms → 174μs (5899% faster)test_empty_and_missing_java_home_behaviourshows 12.3ms → 441ns (2.8 million percent faster) due to cache hitTrade-offs:
maxsize=1), which is appropriate since Java's location is process-constantThis optimization is particularly effective for workflows that invoke Java tooling multiple times, such as build systems, IDEs, or continuous integration pipelines that repeatedly need to locate the Java executable.
✅ Correctness verification report:
🌀 Click to see Generated Regression Tests
To edit these changes
git checkout codeflash/optimize-pr1199-2026-02-20T04.51.19and push.