bucket4j
Get dependency
The Bucket4j is distributed through Maven Central:
<!-- For java 11+ -->
<dependency>
<groupId>com.bucket4j</groupId>
<artifactId>bucket4j-core</artifactId>
<version>8.10.1</version>
</dependency>
<!-- For java 8 -->
<dependency>
<groupId>com.bucket4j</groupId>
<artifactId>bucket4j_jdk8-core</artifactId>
<version>8.10.1</version>
</dependency>
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
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.
Bucket4j basic features
- Absolutely non-compromise precision - Bucket4j does not operate with floats or doubles, all calculation are performed in the integer arithmetic, this feature protects end users from calculation errors involved by rounding.
- Effective implementation in terms of concurrency:
- Bucket4j is good scalable for multi-threading case it by defaults uses lock-free implementation.
- In same time, library provides different concurrency strategies that can be chosen when default lock-free strategy is not desired.
- Effective API in terms of garbage collector footprint: Bucket4j API tries to use primitive types as much as it is possible in order to avoid boxing and other types of floating garbage.
- Pluggable listener API that allows to implement monitoring and logging.
- Rich diagnostic API that allows to investigate internal state.
- Rich configuration management - configuration of the bucket can be changed on fly
Bucket4j distributed features
In additional to basic features described above, Bucket4j
provides ability to implement rate-limiting in cluster of JVMs:
- Bucket4j out of the box supports any GRID solution which compatible with JCache API (JSR 107) specification.
- Bucket4j provides the framework that allows to quickly build integration with your own persistent technology like RDMS or a key-value storage.
- For clustered usage scenarios Bucket4j supports asynchronous API that extremely matters when going to distribute world, because asynchronous API allows avoiding blocking your application threads each time when you need to execute Network request.
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 | Optimized serialization | Thin-client support | Documentation link |
---|---|---|---|---|
JCache API (JSR 107) |
No | No | No | bucket4j-jcache |
Hazelcast |
Yes | Yes | No | bucket4j-hazelcast |
Apache Ignite |
Yes | n/a | Yes | bucket4j-ignite |
Inifinispan |
Yes | Yes | No | bucket4j-infinispan |
Oracle Coherence |
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 |
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 |
Have a question?
Feel free to ask via:
- Bucket4j issue tracker to report a bug.
- Bucket4j discussions for questions, feature proposals, sharing of experience.
License
Copyright 2015-2021 Vladimir Bukhtoyarov Licensed under the Apache Software License, Version 2.0: http://www.apache.org/licenses/LICENSE-2.0.
Java compatibility matrix
:heavy_exclamation_mark: Since July 2022(release 8.0.0) it was decided to migrate Bucket4j to Java 11.
:shit: Obviously, it bad news for all who get stuck on Java 8 by different reasons.
:ambulance: Bucket4j maintainers understand your pain and provide special builds with dedicated artifacts for java 8.
:gift: Maven artifacts for Java 8, currently are provided for free.
:heavy_dollar_sign: Keep in mind that access to fresh releases of Bucket4j for Java 8 can be moved to a commercial model at any moment.
:pill: Right Maven artifact name for Java 8 can be found on jdk-matrix-compatibility page.
:beer: Want to support?
Following options are available to increase motivation to develop new features: