Skip to content

⚡️ Speed up method Util.readFile by 15%#11

Open
codeflash-ai[bot] wants to merge 1 commit intomasterfrom
codeflash/optimize-Util.readFile-ml707rr3
Open

⚡️ Speed up method Util.readFile by 15%#11
codeflash-ai[bot] wants to merge 1 commit intomasterfrom
codeflash/optimize-Util.readFile-ml707rr3

Conversation

@codeflash-ai
Copy link

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

📄 15% (0.15x) speedup for Util.readFile in client/src/com/aerospike/client/util/Util.java

⏱️ Runtime : 580 microseconds 502 microseconds (best of 5 runs)

📝 Explanation and details

Runtime improvement (primary): The optimized version reduces the wall-clock time from 580μs to 502μs (~15% speedup) by replacing the manual FileInputStream read loop with java.nio.file.Files.readAllBytes(file.toPath()).

What changed (specific optimization):

  • Replaced an explicit loop that repeatedly called FileInputStream.read(bytes, pos, rem) and updated pos, with a single call to Files.readAllBytes(Path).
  • Removed the per-iteration Java-level loop, repeated method calls and manual byte-array bookkeeping in favor of a single library call.

Why this is faster (mechanics):

  • Fewer Java-to-JVM/syscall transitions: The original loop invoked read(...) many times (one per buffer chunk or until EOF). Each call has invocation overhead, bounds checks and potentially a small syscall. Files.readAllBytes delegates to a more optimized native-path implementation that reads larger chunks in fewer operations.
  • Lower per-iteration overhead: The old code incurred loop overhead, repeated argument checks and repeated return-value handling. The NIO helper consolidates that work in hot native/IO-optimized code paths that the JDK authors tuned for throughput and fewer allocations.
  • Better JVM-native optimizations: Files.readAllBytes is implemented in core libraries where the JVM may benefit from inlining, better buffering strategies, and fewer intermediate objects compared with a user loop.
  • Bugfix / robustness (practical): The original loop didn’t handle read() returning -1; Files.readAllBytes handles EOF correctly and is more robust if file size changes while reading.

Behavioral/compatibility notes:

  • Semantics are preserved for typical cases: both versions return a byte[] containing the entire file. Both require the file size to fit in an int (readAllBytes also returns a byte[]).
  • Requires java.nio (Java 7+), which is standard in modern Java runtimes used by this codebase.
  • The optimized approach avoids a subtle bug in the original loop (no explicit handling of read() == -1).

Where this helps (workload impact):

  • Hot paths that repeatedly read files (many small files or many calls to readFile) will see the biggest cumulative wins because each invocation avoids the loop overhead.
  • Large-file reads also benefit due to fewer syscalls and larger buffered transfers.
  • For extremely tiny files the absolute gain is smaller but the 15% measured improvement shows a meaningful overall runtime reduction in the representative tests.

Tests and validation:

  • The change passed existing tests and shows a 15% runtime improvement in the provided measurements (580μs -> 502μs). The optimized approach is particularly suited to test cases that read files frequently or read larger files (where native buffering pays off).

Summary:
Switching to Files.readAllBytes reduces Java-level loop and read-call overhead, leverages optimized native I/O paths in the JDK, fixes an EOF handling corner case, and achieves the observed ~15% runtime reduction while keeping behavior consistent for normal use.

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 readFile
⚙️ Click to see Existing Unit Tests

To edit these changes git checkout codeflash/optimize-Util.readFile-ml707rr3 and push.

Codeflash Static Badge

Runtime improvement (primary): The optimized version reduces the wall-clock time from 580μs to 502μs (~15% speedup) by replacing the manual FileInputStream read loop with java.nio.file.Files.readAllBytes(file.toPath()).

What changed (specific optimization):
- Replaced an explicit loop that repeatedly called FileInputStream.read(bytes, pos, rem) and updated pos, with a single call to Files.readAllBytes(Path).
- Removed the per-iteration Java-level loop, repeated method calls and manual byte-array bookkeeping in favor of a single library call.

Why this is faster (mechanics):
- Fewer Java-to-JVM/syscall transitions: The original loop invoked read(...) many times (one per buffer chunk or until EOF). Each call has invocation overhead, bounds checks and potentially a small syscall. Files.readAllBytes delegates to a more optimized native-path implementation that reads larger chunks in fewer operations.
- Lower per-iteration overhead: The old code incurred loop overhead, repeated argument checks and repeated return-value handling. The NIO helper consolidates that work in hot native/IO-optimized code paths that the JDK authors tuned for throughput and fewer allocations.
- Better JVM-native optimizations: Files.readAllBytes is implemented in core libraries where the JVM may benefit from inlining, better buffering strategies, and fewer intermediate objects compared with a user loop.
- Bugfix / robustness (practical): The original loop didn’t handle read() returning -1; Files.readAllBytes handles EOF correctly and is more robust if file size changes while reading.

Behavioral/compatibility notes:
- Semantics are preserved for typical cases: both versions return a byte[] containing the entire file. Both require the file size to fit in an int (readAllBytes also returns a byte[]).
- Requires java.nio (Java 7+), which is standard in modern Java runtimes used by this codebase.
- The optimized approach avoids a subtle bug in the original loop (no explicit handling of read() == -1).

Where this helps (workload impact):
- Hot paths that repeatedly read files (many small files or many calls to readFile) will see the biggest cumulative wins because each invocation avoids the loop overhead.
- Large-file reads also benefit due to fewer syscalls and larger buffered transfers.
- For extremely tiny files the absolute gain is smaller but the 15% measured improvement shows a meaningful overall runtime reduction in the representative tests.

Tests and validation:
- The change passed existing tests and shows a 15% runtime improvement in the provided measurements (580μs -> 502μs). The optimized approach is particularly suited to test cases that read files frequently or read larger files (where native buffering pays off).

Summary:
Switching to Files.readAllBytes reduces Java-level loop and read-call overhead, leverages optimized native I/O paths in the JDK, fixes an EOF handling corner case, and achieves the observed ~15% runtime reduction while keeping behavior consistent for normal use.
@codeflash-ai codeflash-ai bot requested a review from misrasaurabh1 February 3, 2026 19:41
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash labels Feb 3, 2026
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant