Question 1

How fast is yyjson compared to simdjson?

Accepted Answer

yyjson generally outperforms simdjson in DOM API parsing for balanced read-write tasks, as shown in benchmarks, but simdjson's On Demand API is faster when JSON fields are known at compile-time. The README includes detailed charts comparing parse and stringify speeds.

Question 2

How to parse a JSON file with comments using yyjson?

Accepted Answer

Use the YYJSON_READ_ALLOW_COMMENTS flag when calling yyjson_read_file, which enables JSON5-like comment support. Sample code in the README demonstrates this with error handling for configuration files.

Question 3

Is yyjson thread-safe for concurrent parsing?

Accepted Answer

yyjson functions are reentrant and can be used in multithreaded environments, but shared mutable documents require external synchronization. The library itself doesn't manage threads, so developers must handle concurrency manually.

Question 4

How does yyjson handle duplicate keys in JSON objects?

Accepted Answer

yyjson allows duplicate keys and preserves their order, unlike some libraries that discard duplicates. This can be useful for specific use cases but may cause issues with JSON processors expecting unique keys.

Question 5

What's the best way to integrate yyjson into a C++ project?

Accepted Answer

Include yyjson.h and yyjson.c directly for C compatibility, or use bindings like cpp-yyjson for C++ wrappers. Since it's ANSI C, it integrates seamlessly but lacks native C++ features like STL containers.

Question 6

Can yyjson serialize numbers with high precision?

Accepted Answer

Yes, yyjson accurately handles int64, uint64, and double numbers, and offers options to limit output precision for real numbers. This ensures control over serialization to avoid floating-point inaccuracies.

yyjson

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