Java rate-limiting library based on token-bucket algorithm.

Licence

Get dependency

The Bucket4j is distributed through Maven Central:

Java 17 dependency
<!-- For java 17+ -->
<dependency>
  <groupId>com.bucket4j</groupId>
  <artifactId>bucket4j_jdk17-core</artifactId>
  <version>8.14.0</version>
</dependency>
Java 11 dependency
<!-- For java 11 -->
<dependency>
  <groupId>com.bucket4j</groupId>
  <artifactId>bucket4j_jdk11-core</artifactId>
  <version>8.14.0</version>
</dependency>
Java 8 dependencies

Builds for Java 8 are not distributed through Maven Central. For direct downloading of Bucket4j builds for Java 8 visit this page.

Quick start

import io.github.bucket4j.Bucket;

...
// bucket with capacity 20 tokens and with refilling speed 1 token per each 6 second
private static Bucket bucket = Bucket.builder()
      .addLimit(limit -> limit.capacity(20).refillGreedy(10, Duration.ofMinutes(1)))
      .build();

private void doSomethingProtected() {
   if (bucket.tryConsume(1)) {
      doSomething();    
   } else {
      throw new SomeRateLimitingException();
   }
}

More examples can be found there

Documentation

Bucket4j basic features

Bucket4j distributed features

In additional to basic features described above, Bucket4j provides ability to implement rate-limiting in cluster of JVMs:

Spring boot starter

Bucket4j is not a framework, it is a library, with Bucket4j you need to write a code to achive your goals. For generic use-cases, try to look at powerfull Spring Boot Starter for Bucket4j, that allows you to set access limits on your API effortlessly. Its key advantage lies in the configuration via properties or yaml files, eliminating the need for manual code authoring.

Supported JCache compatible(or similar) back-ends

In addition to local in-memory buckets, the Bucket4j supports clustered usage scenario on top of following back-ends:

Back-end Async supported Flexible per-entry expiration Optimized serialization Thin-client support Documentation link
JCache API (JSR 107) No No No No bucket4j-jcache
Hazelcast Yes Yes Yes No bucket4j-hazelcast
Apache Ignite Yes No n/a Yes bucket4j-ignite
Inifinispan Yes Yes Yes No bucket4j-infinispan
Oracle Coherence Yes Yes Yes No bucket4j-coherence

Redis back-ends

Back-end Async supported Redis cluster supported Documentation link
Redis/Redisson Yes Yes bucket4j-redis/Redisson
Redis/Jedis No Yes bucket4j-redis/Jedis
Redis/Lettuce Yes Yes bucket4j-redis/Lettuce

JDBC back-ends

Back-end Documentation link
MySQL bucket4j-mysql
PostgreSQL bucket4j-postgresql
Oracle bucket4j-oracle
Microsoft SQL Server bucket4j-mssql
MariaDB bucket4j-mariadb
DB2 bucket4j-db2

Local caches support

Sometimes you are having deal with bucket per key scenarios but distributed synchronization is unnecessary, for example where request stickiness is provided by a load balancer, or other use-cases where stickiness can be achieved by the application itself, for example, Kafka consumer. For such scenarios Bucket4j provides support for following list of local caching libraries:

Back-end Documentation link
Caffeine bucket4j-caffeine

Third-party integrations

Back-end Project page
Datomic Database clj-bucket4j-datomic

Bucket4j Backward compatibility policy

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License

Copyright 2015-2024 Vladimir Bukhtoyarov Licensed under the Apache Software License, Version 2.0: http://www.apache.org/licenses/LICENSE-2.0.

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