Question 1

How does Vectorscan compare to PCRE for matching multiple regex patterns?

Accepted Answer

Vectorscan excels at simultaneous matching of tens of thousands of patterns across streams, using hybrid automata for high throughput, while PCRE is better for single-pattern or complex regex features like backreferences. For DPI or security apps, Vectorscan's performance is superior, but PCRE might suffice for simpler tasks.

Question 2

Can Vectorscan handle regex backreferences or lookbehind?

Accepted Answer

No, Vectorscan inherits Hyperscan's limitations and does not support advanced PCRE features like backreferences or variable-length lookbehind. It focuses on a subset of regex syntax optimized for speed and stream matching, so check the Hyperscan documentation for exact supported constructs.

Question 3

How to build Vectorscan on an ARM Mac (M1/M2/M3)?

Accepted Answer

Install dependencies via Homebrew (boost, cmake, gcc, etc.), set up a build directory with cmake, and ensure native ARM NEON support is enabled. The README provides specific commands, but note that ongoing SVE2 support might require additional flags for future Apple Silicon features.

Question 4

Is Vectorscan good for log file analysis or just network traffic?

Accepted Answer

While optimized for streaming data in DPI stacks, Vectorscan can be used for log analysis if patterns are batched and data is processed in chunks. However, for static file scanning, simpler libraries might be more efficient unless you're handling massive, real-time log streams.

Question 5

What's the performance difference between Vectorscan and Hyperscan on x86?

Accepted Answer

On x86, Vectorscan aims to match Hyperscan 5.4's performance using similar algorithms, but benchmarks in the wiki show minor variances due to code refactoring. For latest x86 optimizations in Hyperscan 5.5+, you'd need Intel's proprietary version, so Vectorscan may lag in peak performance.

Question 6

How do I integrate Vectorscan into a Python project?

Accepted Answer

Use existing bindings like hyperscan-py or develop custom wrappers via CFFI, but note that community support is limited compared to C/C++. The README doesn't cover language bindings, so you may need to rely on external resources and testing for stability.

Vectorscan

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