Does Json.NET Cache Serialization Information for Performance Optimization?

JSON.NET Optimize the serialization of the cache mechanism?

In the field of .NET objects, it is important to choose high -efficiency methods. JSON.NET, as a popular serialization library, provides two main methods: reflection and IL code generation. Although the latter is faster, it is necessary to invest a large amount of resources to build and generate IL code at runtime. In order to improve performance, JSON.NET uses the cache mechanism to reuse the serialized information of the same type object.

JSON.NET's cache mechanism

Yes, JSON.NET uses the cache mechanism to store the type serialized information. This cache mechanism is implemented in the

class used by JSON.NET. The two default implementation, and

, both maintain the cache table to store contract information. IContractResolver DefaultContractResolver Cache reuse CamelCasePropertyNamesContractResolver

By default, JSON.NET will reuse this cache information for serialization. This can significantly improve performance when dealing with a large number of the same type objects. Custom contract parser

If a custom contract parser is provided, the cache behavior depends on the implementation of the parser. In order to use the advantages of cache, the contract parser instance itself is cached and reused.

Memory occupation considerations

Although the cache improves serialization performance, it may also increase memory consumption. If the memory occupation is a problem, you can create a temporary contract resolutor instance, use this instance serialized object, and then delete the reference to it to minimize the cache memory. It should be noted that this method may affect the serialization performance.

Performance optimization suggestions

The founder of JSON.NET, Newtonsoft recommends reusing the contract resolution instance to optimize performance. In addition, they recommend the use of and with a suitable naming strategy, not

to better manage memory.

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