Java caching technology is one of the most common caching solutions in today's Internet field. Its main advantages include effectively reducing the system's response time, reducing access pressure on back-end storage such as databases, and improving the system's concurrency capabilities. In Java caching technology, the choice and organization of cache data formats have a very important impact on performance and reliability.
1. Selection of cache data format
The cache data formats that can be used in Java cache technology include but are not limited to the following categories:
1. Object serialization cache: Serialize the Java object into a byte array and store it in the cache. During deserialization, it is retrieved from the cache and converted into a Java object.
2.JSON cache: Convert Java objects into JSON format strings, store them in the cache, and then parse them into Java objects when needed.
3. Binary format cache: Convert Java objects into binary data format, store them in the cache, and perform deserialization operations when needed.
4. Text format cache: Convert Java objects to text format, store them in the cache, and parse them into Java objects when needed.
The above four cache data formats each have their own advantages and disadvantages and need to be selected according to specific needs. The following is a specific analysis and explanation.
1. Object serialization cache
Advantages:
Object serialization is very convenient for storing and reading Java objects, and can directly serialize Java objects into bytes The array is stored in the cache and then deserialized back when needed, and the serialization operation is very simple. If you need to cache Java objects, then object serialization caching is a very good choice.
Disadvantages:
Object serialization caching requires a lot of CPU time and memory to serialize and deserialize Java objects, especially for complex object types, such as Map and List, etc., sequence Serialization and deserialization are more expensive. For caches that require expiration time or need to be automatically cleaned, the serialization and deserialization overhead of Java objects is always maintained, and the impact on system performance cannot be ignored.
2.JSON caching
Advantages:
JSON caching converts Java objects into JSON format strings and stores them in the cache, and then retrieves the strings from the cache. Perform analysis. This method is very suitable for cached data that needs to be accessed through clients such as browsers, such as the cache of front-end pages, because JSON is a lightweight data format that can effectively reduce the bandwidth between the client and the server, thereby improving System access speed.
Disadvantages:
JSON caching requires developers to write additional code to convert Java objects and JSON strings to and from each other, but JSON caching needs to be performed when parsing JSON strings. Type judgment, so for some special types of objects, this method may not work well.
3. Binary format cache
Advantages:
Binary format cache converts Java objects into byte arrays and stores them in the form of byte arrays. This method It is a very efficient caching method, because it does not require a lot of CPU and memory conversion like the serialization process and JSON format caching, but directly transmits it in the form of byte arrays, and the speed of serialization and deserialization is very fast.
Disadvantages:
Because the readability of the binary format cache is relatively poor, it may not be convenient in actual use. It should be noted that the object types in the cached data must be consistent. Only in this way can successful deserialization be guaranteed. Otherwise, the cached data may not be read normally.
4. Text format cache
Advantages:
Text format cache uses the properties of the Java object as the key, the property value as the value, and caches it in text format, which is very good This avoids the performance consumption caused by serialization. Text format caching is similar to JSON caching, but because it stores key-value pairs instead of JSON format strings, it has less impact on parsing efficiency, so it is slightly more efficient than JSON caching.
Disadvantages:
Text format cache needs to set the expiration time for the Redis cache, and needs to specify the size limit of the value. Because the text format cache is relatively large, if you pursue the ultimate performance, it will lead to a waste of memory. In addition, text format caching requires developers to manually parse and verify the data type of the cached content, making the code maintainability relatively strong.
2. Organization of cached data format
In addition to the selection of cached data format, the organization of cached data in Java cache technology will also affect the performance and reliability of the cache. Common cache data organization methods include but are not limited to the following:
In actual use, according to different caching needs, it is often necessary to choose different cache data organization methods. If you need to support efficient data retrieval and data paging operations, you can use a hash type cache. If you need to store a string type byte array, you can use a string type cache. If you need to store an ordered list of cached data, you can Use a list type cache. If you need to store unordered and non-duplicate cache data, it is recommended to use a set type cache.
To sum up, the selection of cache data format and the selection of organization method are two very important aspects in Java caching technology. Developers need to make trade-offs among various cache data formats and organization methods based on specific needs to achieve optimal results. Finally, I would like to emphasize again that when choosing the format and organization of cached data, you need to take into account the characteristics and needs of your own business, as well as the performance, reliability, and cost of use of the cache, in order to achieve the optimal cache solution.
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