What is this?
Caffeine is a high-performance, near-optimal in-memory caching library for Java with a Guava-inspired API.
Caffeine is a high-performance, near-optimal in-memory caching library for Java with a Guava-inspired API.Is this an in-process cache or a separate caching server like Redis?It's purely an in-process, in-memory cache you embed in your Java app, not a standalone server like Redis or Memcached.
It's purely an in-process, in-memory cache you embed in your Java app, not a standalone server like Redis or Memcached.How do I add it to my project?Pull the caffeine artifact from Maven Central or add it as a Gradle dependency.
Pull the caffeine artifact from Maven Central or add it as a Gradle dependency.Which Java version do I need?Use the 3.x line if you're on Java 11 or newer; stick with 2.x for older Java versions.
Use the 3.x line if you're on Java 11 or newer; stick with 2.x for older Java versions.Does Caffeine handle caching across multiple servers?No, it's a single-JVM in-memory cache; for distributed caching you'd pair it with a data grid like Infinispan, which several listed integrations already do.
No, it's a single-JVM in-memory cache; for distributed caching you'd pair it with a data grid like Infinispan, which several listed integrations already do.Do I need to already use Guava to benefit from this?No, Caffeine's API is just inspired by Guava's cache, but it's standalone and even ships Guava adapters for compatibility with existing Guava-based code.
No, Caffeine's API is just inspired by Guava's cache, but it's standalone and even ships Guava adapters for compatibility with existing Guava-based code.What eviction policy does Caffeine use?It uses an adaptive, near-optimal eviction policy based on TinyLFU (Tiny Least Frequently Used), described in research papers co-authored by the project's creator.
It uses an adaptive, near-optimal eviction policy based on TinyLFU (Tiny Least Frequently Used), described in research papers co-authored by the project's creator.Which frameworks have Caffeine integrations?Community integrations exist for Spring Cache, Play Framework, Micronaut, Quarkus, Camel and JHipster, plus Kotlin wrappers (Aedile, Kotlin Coroutines) and the Scaffeine wrapper for Scala.
Community integrations exist for Spring Cache, Play Framework, Micronaut, Quarkus, Camel and JHipster, plus Kotlin wrappers (Aedile, Kotlin Coroutines) and the Scaffeine wrapper for Scala.Who uses Caffeine in production?It powers caching layers inside Cassandra, HBase, Solr, Kafka, Infinispan, Dropwizard, Accumulo, Corfu, Neo4j and Druid, among others.
It powers caching layers inside Cassandra, HBase, Solr, Kafka, Infinispan, Dropwizard, Accumulo, Corfu, Neo4j and Druid, among others.Can Caffeine report cache usage stats?Yes, it can accumulate cache access statistics like hit and miss rates for monitoring cache effectiveness.
Yes, it can accumulate cache access statistics like hit and miss rates for monitoring cache effectiveness.What are similar projects?deeplearning4j, HikariCP, disruptor, playframework, redisson, akka-core, miaosha, spring-boot
deeplearning4j, HikariCP, disruptor, playframework, redisson, akka-core, miaosha, spring-bootWhich topics is it in?scala, spring, jvm, statistics, caching, concurrency, high-performance, memory, kotlin, benchmark, java, backend
scala, spring, jvm, statistics, caching, concurrency, high-performance, memory, kotlin, benchmark, java, backend