Caffeine for Java: High-Performance In-Memory Cache
\n\nWhat is it and why is it needed?
\nCaffeine is a high-performance in-memory caching library written in Java. It was created by Ben Manes and is one of the fastest cache implementations for the JVM. Caffeine is designed with modern multithreading requirements in mind and provides a rich API for managing the lifecycle of objects in the cache.
\nWhy is Caffeine needed? In any application that works with data, a situation often arises where the same data is requested repeatedly. Instead of performing an expensive operation each time (database query, external API call, complex calculations), you can save the result in the cache. Caffeine does this as efficiently as possible, using the W-TinyLFU (Window Tiny Least Frequently Used) algorithm, which ensures high accuracy of element eviction and minimal overhead.
\nThe library is actively used in large projects such as the Spring Framework (starting from version 5.0), where it is the standard cache implementation. Caffeine supports asynchronous loading, automatic record refresh, statistics, and many eviction strategies (by time, by size, by references).
\nInstallation
\nCaffeine is distributed via Maven Central. To use it, add the dependency to your pom.xml (Maven) or build.gradle (Gradle).
Maven
\n<dependency>\n <groupId>com.github.ben-manes.caffeine</groupId>\n <artifactId>caffeine</artifactId>\n <version>3.1.8</version>\n</dependency>\n\n Gradle
\nimplementation 'com.github.ben-manes.caffeine:caffeine:3.1.8'\n\n For the latest version, check Maven Central.
\nQuick Start
\nMinimal example of creating and using a Caffeine cache:
\nimport com.github.benmanes.caffeine.cache.Cache;\nimport com.github.benmanes.caffeine.cache.Caffeine;\n\nimport java.util.concurrent.TimeUnit;\n\npublic class QuickStart {\n public static void main(String[] args) {\n // 1. Create a cache with a maximum size of 100 elements\n // and a record time-to-live of 10 minutes after last access\n Cache<String, String> cache = Caffeine.newBuilder()\n .maximumSize(100)\n .expireAfterAccess(10, TimeUnit.MINUTES)\n .build();\n\n // 2. Put a value\n cache.put("key1", "Hello, Caffeine!");\n\n // 3. Get a value\n String value = cache.getIfPresent("key1");\n System.out.println(value); // Prints: Hello, Caffeine!\n\n // 4. Get a value with a loading function (if key is absent)\n String loadedValue = cache.get("key2", k -> "Loaded: " + k);\n System.out.println(loadedValue); // Prints: Loaded: key2\n }\n}\n Main Methods and Classes
\nLet's look at the key classes and methods of Caffeine. The main class for configuration is Caffeine, and for working with the cache — Cache, LoadingCache, and AsyncCache.
1. Caffeine.newBuilder()
\nSignature: public static Caffeine<K, V> newBuilder()
What it does: Creates
Also in library
Kotlin WebSocket Libraries for Creating Real-Time in Web Applications
Working with Apache Kafka in Node.js: KafkaJS Library
Working with Dates in TypeScript: Popular Libraries and Examples
Database Migrations in Rust: Overview of Diesel, SeaORM, and sqlx Tools