⚡️ Speed up method Util.toBoolean by 8%

[codeflash-ai]

📄 8% (0.08x) speedup for Util.toBoolean in client/src/com/aerospike/client/util/Util.java

⏱️ Runtime : 550 microseconds → 507 microseconds (best of 5 runs)

📝 Explanation and details

Runtime improvement: the optimized version cuts the measured call time from 550 µs to 507 µs (~8% faster) by removing extra work and fewer boxing/unboxing operations in the hot conversion path.

What changed (specific optimizations)

• Inlined the long-extraction logic into toBoolean so toBoolean no longer calls toLong.
• Replaced implicit autounboxing of (Long)obj with an explicit primitive extraction: ((Long)obj).longValue().
• Used null-first ternary expressions returning primitives (0L / false) and compared against 0L directly.

Why this speeds up execution

• Method-call overhead: calling toLong for every boolean conversion added a small but measurable invocation cost. Removing that call eliminates the extra method-entry/exit overhead and any parameter/return handling for the helper.
• Less boxing/unboxing churn: the original relied on boxing/unboxing via (Long)obj and the ternary; the optimized form explicitly extracts the primitive long with longValue() and returns primitive literals (0L/false). That reduces generated bytecode paths and runtime work the JVM must do to box/unbox values.
• Simpler bytecode/branches: direct ternary primitives and a single comparison reduce control-flow and runtime checks, helping both interpreter and JIT-generated code be tighter and faster.

How this affects real workloads

• This utility is a small, hot-path helper (converting server-returned values). Workloads that call toBoolean/toLong millions of times (record decoding, tight loops converting server fields) will see the benefit amplified beyond the measured 8% microbench.
• If the JIT already inlines the helper at runtime, some of the benefit would be realized by the JVM anyway; however, this change guarantees fewer bytecode ops even before optimization and avoids depending on JIT heuristics, which is helpful for short-lived processes, cold-start scenarios, or environments with limited JIT inlining.

Tests & best-fit cases

• The measured tests show an 8% runtime improvement; optimizations are most useful for heavy conversion workloads (high call-rate toBoolean/toLong).
• No functional changes were introduced—the logic and null handling are preserved—so regression tests that exercise conversions should remain valid.

Trade-offs

• There is no meaningful regression in memory or correctness. The code is slightly more explicit about primitive extraction; this is a positive trade for runtime savings.

Bottom line: by eliminating an extra helper call and reducing boxing/unboxing, the optimized code shortens the hot conversion path and yields the observed 8% runtime improvement.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	✅ 198 Passed
🌀 Generated Regression Tests	🔘 None Found
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	🔘 None Found
📊 Tests Coverage	No coverage data found for toBoolean

⚙️ Click to see Existing Unit Tests

To edit these changes git checkout codeflash/optimize-Util.toBoolean-ml73jy1k and push.