Looking for Simple Java in-Memory Cache [Closed]

Looking for Simple Java in-Memory Cache [Closed]

I'm looking for a simple Java in-memory cache that has good concurrency (so LinkedHashMap isn't good enough), and which can be serialized to disk periodically.

One feature I need, but which has proved hard to find, is a way to "peek" at an object. By this I mean retrieve an object from the cache without causing the cache to hold on to the object any longer than it otherwise would have.

Update: An additional requirement I neglected to mention is that I need to be able to modify the cached objects (they contain float arrays) in-place.

Can anyone provide any recommendations?

4

9 Answers

Since this question was originally asked, Google's Guava library now includes a powerful and flexible cache. I would recommend using this.

3

Ehcache is a pretty good solution for this and has a way to peek (getQuiet() is the method) such that it doesn't update the idle timestamp. Internally, Ehcache is implemented with a set of maps, kind of like ConcurrentHashMap, so it has similar kinds of concurrency benefits.

3

If you're needing something simple, would this fit the bill?

Map<K, V> myCache = Collections.synchronizedMap(new WeakHashMap<K, V>());

It wont save to disk, but you said you wanted simple...

Links:

(As Adam commented, synchronising a map has a performance hit. Not saying the idea doesn't have hairs on it, but would suffice as a quick and dirty solution.)

4

Another option for an in-memory java cache is cache2k. The in-memory performance is superior to EHCache and google guava, see the cache2k benchmarks page.

The usage pattern is similar to other caches. Here is an example:

Cache<String,String> cache = new Cache2kBuilder<String, String>() {}
  .expireAfterWrite(5, TimeUnit.MINUTES)    // expire/refresh after 5 minutes
  .resilienceDuration(30, TimeUnit.SECONDS) // cope with at most 30 seconds
                                          // outage before propagating 
                                          // exceptions
  .refreshAhead(true)                       // keep fresh when expiring
  .loader(new CacheLoader<String, String>() {
    @Override
    public String load(final String key) throws Exception {
      return ....;
    }
  })
  .build();
String val = cache.peek("something");
cache.put("something", "hello");
val = cache.get("something");

If you have google guava as dependency then trying out guava cache, may be a good alternative.

1

Try this:

import java.util.*;

public class SimpleCacheManager {

    private static SimpleCacheManager instance;
    private static Object monitor = new Object();
    private Map<String, Object> cache = Collections.synchronizedMap(new HashMap<String, Object>());

    private SimpleCacheManager() {
    }

    public void put(String cacheKey, Object value) {
        cache.put(cacheKey, value);
    }

    public Object get(String cacheKey) {
        return cache.get(cacheKey);
    }

    public void clear(String cacheKey) {
        cache.put(cacheKey, null);
    }

    public void clear() {
        cache.clear();
    }

    public static SimpleCacheManager getInstance() {
        if (instance == null) {
            synchronized (monitor) {
                if (instance == null) {
                    instance = new SimpleCacheManager();
                }
            }
        }
        return instance;
    }

}
4

You can easily use imcache. A sample code is below.

void example(){
    Cache<Integer,Integer> cache = CacheBuilder.heapCache().
    cacheLoader(new CacheLoader<Integer, Integer>() {
        public Integer load(Integer key) {
            return null;
        }
    }).capacity(10000).build(); 
}

Try @Cacheable from jcabi-aspects. With a single annotation you make the entire method result cacheable in memory:

public class Resource {
  @Cacheable(lifetime = 5, unit = TimeUnit.SECONDS)
  public String load(URL url) {
    return url.openConnection().getContent();
  }
}

Also, read this article:

How about this: (updated to new address, as JCS is now in Apache Commons)

1

Try Ehcache? It allows you to plug in your own caching expiry algorithms so you could control your peek functionality.

You can serialize to disk, database, across a cluster etc...

James H. Sterling
Author

James H. Sterling

James Sterling reports on renewable energy developments, climate policy, ecological conservation, and green tech innovations around the globe.