How Does Json.NET Optimize Serialization Performance Through Caching?

json.net serialization performance optimization strategy

In .NET, the object serialization needs to check the attributes of the object during runtime, which is a process that may be very time -consuming. Modern library uses expression trees or IL transmission to speed up serialization, but cache information is essential for the best performance.

The serialization mechanism of json.net

JSON.NET Based on the type and complexity of the object, the expression tree and IL launch are serialized at the same time.

Caches of serialized information

Yes, json.net will cache sequential information. This cache occurs in the and

class. These parsers use static tables to store cache information. In addition,

maintains a global static instance for cache. The effect of cache DefaultContractResolver CamelCasePropertyNamesContractResolver DefaultContractResolver Caches improves serialization by eliminating redundant reflection operations. However, effective management of memory consumption is essential. For scenes with limited memory, developers can create a temporary instance of

to serialize and remove references later.

Recommended practice

NewTonsoft recommends reusing the contract resolutor instance to obtain the best performance. If memory use becomes a problem, consider using the DefaultContractResolver custom subclasses and instantly instantiated them. In order to improve performance, it is recommended to switch from

to

and use a suitable naming strategy. Summary

DefaultContractResolver JSON.NET effectively cache sequential information in its contract parser to improve performance. Although this cache mechanism accelerates serialization, developers should consider the impact of memory when using json.net, especially in an environment with limited memory. By implementing appropriate strategies, developers can balance between performance and resource utilization. CamelCasePropertyNamesContractResolver

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