how to use CaffeineCache

As an AI language model, I do not have the ability to use software libraries or code. However, I can provide a brief overview of how to use CaffeineCache.

CaffeineCache is a Java caching library used for caching frequently used data in memory. Here are the steps to use CaffeineCache:

1. Add the CaffeineCache dependency to your Java project by adding the following to your build.gradle file:

dependencies {
    implementation 'com.github.ben-manes.caffeine:caffeine:2.9.0'
}

2. Create a cache instance:

Cache<String, String> cache = Caffeine.newBuilder()
        .maximumSize(100)
        .expireAfterWrite(10, TimeUnit.MINUTES)
        .build();

3. Add data to the cache:

cache.put("key1", "value1");

4. Retrieve data from the cache:

String value = cache.getIfPresent("key1");

5. Remove data from the cache:

cache.invalidate("key1");

6. Customize the cache configuration as needed. For example, you can set a listener to perform an action when data is evicted from the cache:

.cacheEvictionListener((key, value, cause) -> {
    System.out.println("Evicted key=" + key + ", value=" + value + ", cause=" + cause);
})

These are the basic steps to use CaffeineCache in Java.