Caffeine is a high performance, near optimal caching library. For more details, see our user's guide and browse the API docs for the latest release.

Cache

Caffeine provides an in-memory cache using a Google Guava inspired API. The improvements draw on our experience designing Guava's cache and ConcurrentLinkedHashMap.

LoadingCache<Key, Graph> graphs = Caffeine.newBuilder()
    .maximumSize(10_000)
    .expireAfterWrite(Duration.ofMinutes(5))
    .refreshAfterWrite(Duration.ofMinutes(1))
    .build(key -> createExpensiveGraph(key));

Features at a Glance

Caffeine provides flexible construction to create a cache with a combination of the following optional features:

• automatic loading of entries into the cache, optionally asynchronously
• size-based eviction when a maximum is exceeded based on frequency and recency
• time-based expiration of entries, measured since last access or last write
• asynchronously refresh when the first stale request for an entry occurs
• keys automatically wrapped in weak references
• values automatically wrapped in weak or soft references
• notification of evicted (or otherwise removed) entries
• writes propagated to an external resource
• accumulation of cache access statistics

In addition, Caffeine offers the following extensions:

• JSR-107 JCache
• Guava adapters
• Simulation

Use Caffeine in a community provided integration:

• Spring Cache: Simple, modern, productive Java
• Play Framework: High velocity web framework
• Micronaut: A modern, full-stack framework
• Coroutines: Kotlin Coroutines extension
• Bootique: A fast, simple Java platform
• Quarkus: Supersonic Subatomic Java
• Camel: Routing and mediation engine
• Scaffeine: Scala wrapper for Caffeine
• JHipster: Generate, develop, deploy
• Aedile: Kotlin wrapper for Caffeine

Powering infrastructure near you:

• Dropwizard: Ops-friendly, high-performance, RESTful APIs
• Cassandra: Manage massive amounts of data, fast
• Coherence: Mission critical in-memory data grid
• Accumulo: A sorted, distributed key/value store
• Kafka: A distributed event streaming platform
• HBase: A distributed, scalable, big data store
• Apache Solr: Blazingly fast enterprise search
• Infinispan: Distributed in-memory data grid
• Redisson: Ultra-fast in-memory data grid
• OpenWhisk: Serverless cloud platform
• Corfu: A cluster consistency platform
• Grails: Groovy-based web framework
• Finagle: Extensible RPC system
• Neo4j: Graphs for Everyone
• Druid: Real-time analytics

In the News

• An in-depth description of Caffeine's architecture.
  • Design of a Modern Cache: part #1, part #2 (slides) at HighScalability
  • The Adaptive Window, From the Ground Up on optimizing shifting workloads
• Caffeine is presented as part of research papers evaluating its novel eviction policy.
  • TinyLFU: A Highly Efficient Cache Admission Policy by Gil Einziger, Roy Friedman, Ben Manes
  • Adaptive Software Cache Management by Gil Einziger, Ohad Eytan, Roy Friedman, Ben Manes
  • Lightweight Robust Size Aware Cache Management by Gil Einziger, Ohad Eytan, Roy Friedman, Ben Manes

Download

Download from Maven Central or depend via Gradle:

implementation("com.github.ben-manes.caffeine:caffeine:3.2.4")

// Optional extensions
implementation("com.github.ben-manes.caffeine:guava:3.2.4")
implementation("com.github.ben-manes.caffeine:jcache:3.2.4")

For Java 11 or above, use 3.x otherwise use 2.x.

See the release notes for details of the changes.

Snapshots of the development version are available in Sonatype's snapshots repository.