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@codeflash-ai codeflash-ai bot commented Feb 3, 2026

📄 31% (0.31x) speedup for BatchDelete.equals in client/src/com/aerospike/client/BatchDelete.java

⏱️ Runtime : 241 milliseconds 183 milliseconds (best of 5 runs)

📝 Explanation and details

Runtime improved from 241 ms to 183 ms (≈31% faster). The optimized equals(...) is faster because it reduces per-call work and improves branch predictability in a hot, frequently-called check.

What changed

  • Early short-circuit: The optimized version checks configProvider first and returns immediately when an explicit configuration override exists. That avoids unnecessary subsequent work.
  • Local variable caching: The instance field policy is read once into a local variable (localPolicy) instead of being accessed multiple times via the object field.
  • Simpler control flow: The boolean sendkey assignment is computed only once in the relevant branch rather than being set to a default then conditionally changed. The common case (no config override) follows a single, tight path.

Why this speeds up execution

  • Field access vs local variable: Accessing a final field requires an extra object dereference; reading into a local stack variable avoids repeated dereferences and is faster for the JVM to optimize and JIT inline.
  • Fewer branches and early return: Returning immediately when config overrides exist reduces the number of comparisons and assignments executed for those calls. Fewer executed instructions reduces CPU work and improves instruction-cache utilization.
  • Better branch prediction: Consolidating the branches so the common path performs fewer conditional checks helps the CPU predict and pipeline more efficiently across repeated calls.
  • Lower per-call overhead: equals(...) is small and called often in batch code; trimming even a few object/boolean checks per call accumulates into the observed ~31% runtime win.

Behavioral impact and safety

  • Semantics are preserved: The logic still prefers configProvider overrides when present and otherwise falls back to policy.sendKey (defaulting to false when policy is null).
  • No other metrics regressed in the provided measurements.

When this helps most

  • Hot paths where equals(...) is invoked frequently (batch processing, repeated equality checks in collections or wire-protocol decision loops). The improvement is cumulative per call and therefore most visible under high-call-count workloads.
  • Test coverage should include the four main scenarios: (1) configProvider null + policy null, (2) configProvider null + policy non-null, (3) configProvider non-null with override true, (4) configProvider non-null with override false. The optimized code is especially beneficial when many calls hit the common (no-config) path.

In short: the change reduces object field reads and unnecessary branching, enabling fewer CPU instructions per call and better JIT/CPU behavior, producing the observed 31% runtime improvement.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 1950 Passed
🌀 Generated Regression Tests 🔘 None Found
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage No coverage data found for equals
⚙️ Click to see Existing Unit Tests

To edit these changes git checkout codeflash/optimize-BatchDelete.equals-ml6p1arv and push.

Codeflash Static Badge

Runtime improved from 241 ms to 183 ms (≈31% faster). The optimized equals(...) is faster because it reduces per-call work and improves branch predictability in a hot, frequently-called check.

What changed
- Early short-circuit: The optimized version checks configProvider first and returns immediately when an explicit configuration override exists. That avoids unnecessary subsequent work.
- Local variable caching: The instance field policy is read once into a local variable (localPolicy) instead of being accessed multiple times via the object field.
- Simpler control flow: The boolean sendkey assignment is computed only once in the relevant branch rather than being set to a default then conditionally changed. The common case (no config override) follows a single, tight path.

Why this speeds up execution
- Field access vs local variable: Accessing a final field requires an extra object dereference; reading into a local stack variable avoids repeated dereferences and is faster for the JVM to optimize and JIT inline.
- Fewer branches and early return: Returning immediately when config overrides exist reduces the number of comparisons and assignments executed for those calls. Fewer executed instructions reduces CPU work and improves instruction-cache utilization.
- Better branch prediction: Consolidating the branches so the common path performs fewer conditional checks helps the CPU predict and pipeline more efficiently across repeated calls.
- Lower per-call overhead: equals(...) is small and called often in batch code; trimming even a few object/boolean checks per call accumulates into the observed ~31% runtime win.

Behavioral impact and safety
- Semantics are preserved: The logic still prefers configProvider overrides when present and otherwise falls back to policy.sendKey (defaulting to false when policy is null).
- No other metrics regressed in the provided measurements.

When this helps most
- Hot paths where equals(...) is invoked frequently (batch processing, repeated equality checks in collections or wire-protocol decision loops). The improvement is cumulative per call and therefore most visible under high-call-count workloads.
- Test coverage should include the four main scenarios: (1) configProvider null + policy null, (2) configProvider null + policy non-null, (3) configProvider non-null with override true, (4) configProvider non-null with override false. The optimized code is especially beneficial when many calls hit the common (no-config) path.

In short: the change reduces object field reads and unnecessary branching, enabling fewer CPU instructions per call and better JIT/CPU behavior, producing the observed 31% runtime improvement.
@codeflash-ai codeflash-ai bot requested a review from misrasaurabh1 February 3, 2026 14:28
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash labels Feb 3, 2026
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