redis-布隆过滤器使用

文章主目录

• 场景

占用空间测试地址

 https://krisives.github.io/bloom-calculator/

 

 

pom依赖

 <dependency>
            <groupId>org.redisson</groupId>
            <artifactId>redisson</artifactId>
            <version>3.17.6</version>
        </dependency>

 

测试代码

    public static void main(String[] args) {
        Config config = new Config();
        config.useSingleServer().setAddress("redis://127.0.0.1:6379");
        config.useSingleServer().setPassword("info169.cn");
        //构造Redisson
        RedissonClient redisson = Redisson.create(config);

        String key="Ewei:Business:portal:Question:UV:2023-05-17";
        RBloomFilter<String> bloomFilter = redisson.getBloomFilter(key);
        if(!bloomFilter.isExists()) {
            //初始化布隆过滤器：预计元素为500000,,误差率为0.001
            bloomFilter.tryInit(500000, 0.001);
            System.out.println("初始化");
        }



        String value="7896_69494_2bc0433433461759059fbe16ba463";
        System.out.println(bloomFilter.contains(value));//true

        bloomFilter.add(value);
        //加入后才初始化 才能设置bloom的过期时间
        bloomFilter.expire(60, TimeUnit.SECONDS);
        //判断下面号码是否在布隆过滤器中
        System.out.println(bloomFilter.contains("123456"));//false
        System.out.println(bloomFilter.contains(value));//true
    }

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