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Caffeine is the Java 8 successor to ConcurrentLinkedHashMap and Guava's cache. Projects should prefer Caffeine and migrate when requiring JDK8 or higher. The previous caching projects are supported in maintenance mode.

A high performance version of java.util.LinkedHashMap for use as a software cache. The project was migrated from its old website on Google Code.

Design

• A linked list runs through a ConcurrentHashMap to provide eviction ordering.
• Avoids lock contention by amortizing the penalty under lock.

See the design document and the StrangeLoop conference slides (Concurrent Caching at Google).

Features

• LRU page replacement policy (currently being upgraded to LIRS).
• Equivalent performance to ConcurrentHashMap under load.
• Can bound by the size of the values (e.g. Multimap cache).
• Can notify a listener when an entry is evicted.

See the tutorial for examples of using this library.

Status

• Released v1.4.2 with Least-Recently-Used page replacement policy.
• Integrated into Google Guava (MapMaker, CacheBuilder)

See the Changelog for version history.

Future

• v2.x: Implement Low Inter-reference Recency Set page replacement policy.

• Caffeine: A Java 8 rewrite of Guava Cache is the current focus for further development.

See the Changelog for more details and current progress.

Maven

Maven users should choose one of the dependencies based on their JDK version.

<!-- JDK 6 -->
<dependency>
  <groupId>com.googlecode.concurrentlinkedhashmap</groupId>
  <artifactId>concurrentlinkedhashmap-lru</artifactId>
  <version>1.4.2</version>
</dependency>

<!-- JDK 5 -->
<dependency>
  <groupId>com.googlecode.concurrentlinkedhashmap</groupId>
  <artifactId>concurrentlinkedhashmap-lru</artifactId>
  <version>1.2_jdk5</version>
</dependency>

Performance

In this benchmark an unbounded ConcurrentHashMap is compared to a ConcurrentLinkedHashMap v1.0 with a maximum size of 5,000 entries under an artificially high load (250 threads, 4-cores).