Using GuavaCache for caching in Java API development

In Java API development, caching is an important choice in order to optimize performance and improve user experience. GuavaCache is an efficient and reliable cache library that can help developers easily implement cache management and improve program operating efficiency. This article will introduce the methods and precautions for using GuavaCache for caching in Java API development.

1. Introduction to the use of GuavaCache

GuavaCache is a cache library developed by Google. It provides a variety of caching strategies and efficient cache management methods. When using GuavaCache, you need to introduce the corresponding dependencies:

<dependency>
      <groupId>com.google.guava</groupId>
      <artifactId>guava</artifactId>
      <version>23.0</version>
</dependency>

After introducing the dependencies, you can start using GuavaCache for caching processing. The following is a simple example:

LoadingCache<String, String> cache = CacheBuilder.newBuilder()
  .maximumSize(1000)
  .expireAfterWrite(10, TimeUnit.MINUTES)
  .build(
  new CacheLoader<String, String>() {
    public String load(String key) throws Exception {
      return getDataFromDatabase(key);
    }
  });

The above code creates a GuavaCache object that can store up to 1,000 cache items and has a cache validity period of 10 minutes, and obtains data from the database through CacheLoader and stores it in the cache. When you need to obtain data from the cache, you can use the following code to achieve it:

String value = cache.get("key");

2. Precautions for using GuavaCache

When using GuavaCache for caching processing, you need to pay attention to the following points:

1. Cache validity period
   The cache validity period of GuavaCache can be set in two ways: expireAfterWrite and expireAfterAccess. The former means that when the cache item has not been modified or read or written within the specified time, the cache will be automatically removed, and then It means that when the cache item is not read or written within the specified time, the cache will be automatically removed.
2. Maximum number of caches
   You can set the maximum number of caches through the maximumSize method. When the number of caches reaches the maximum, GuavaCache will select some caches to clear to ensure that the performance of the system is not affected.
3. Cache Recycling Strategy
   GuavaCache provides two cache recycling strategies: size-based cache recycling and time-based cache recycling. The former means that when the cache size reaches a certain threshold, the oldest cache item is automatically removed; the latter means that when the cache item reaches a certain time, the cache is automatically removed.
4. Cache loading method
   When using GuavaCache for cache processing, you can load the cache through CacheLoader or through the Callable interface. The former means that the CacheLoader is automatically called to load the cache item when it does not exist, while the latter means that the Callable instance is called to load the cache when the cache item does not exist.
5. Cache Concurrency Processing
   GuavaCache can handle the problem of concurrent access to the cache by multiple threads and ensure the correctness and consistency of cached data. You can set the cache's concurrency level through the concurrencyLevel method to improve program performance.

Overall, GuavaCache is an efficient and reliable caching library, which is very helpful for caching processing in Java API development. During use, you need to pay attention to issues such as cache validity period, maximum quantity, recycling strategy, loading method, and concurrent processing to achieve better performance and user experience.

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