Redis

关注公众号 jb51net

关闭
首页 > 数据库 > Redis > Redisson RRateLimiter

Redisson分布式限流器RRateLimiter的使用及原理小结

作者:呦,又写BUG呢

本文主要介绍了Redisson分布式限流器RRateLimiter的使用及原理小结,文中通过示例代码介绍的非常详细,对大家的学习或者工作具有一定的参考学习价值,需要的朋友们下面随着小编来一起学习学习吧

一、基本使用

1.1 创建限流器

/**
 * Returns rate limiter instance by name
 * 
 * @param name of rate limiter
 * @return RateLimiter object
 */
RRateLimiter getRateLimiter(String name);
/**
 * Initializes RateLimiter's state and stores config to Redis server.
 * 
 * @param mode - rate mode
 * @param rate - rate
 * @param rateInterval - rate time interval
 * @param rateIntervalUnit - rate time interval unit
 * @return true if rate was set and false otherwise
 */
boolean trySetRate(RateType mode, long rate, long rateInterval, RateIntervalUnit rateIntervalUnit);

trySetRate 用于设置限流参数。其中 RateType 包含 OVERALL 和 PER_CLIENT 两个枚举常量,分别表示全局限流和单机限流。后面三个参数表明了令牌的生成速率,即每 rateInterval 生成 rate 个令牌,rateIntervalUnit 为 rateInterval 的时间单位。

1.2 获取令牌

/**
 * Acquires a specified permits from this RateLimiter, 
 * blocking until one is available.
 *
 * Acquires the given number of permits, if they are available 
 * and returns immediately, reducing the number of available permits 
 * by the given amount.
 * 
 * @param permits the number of permits to acquire
 */
void acquire(long permits);

/**
 * Acquires the given number of permits only if all are available
 * within the given waiting time.
 *
 * Acquires the given number of permits, if all are available and returns immediately,
 * with the value true, reducing the number of available permits by one.
 *
 * If no permit is available then the current thread becomes
 * disabled for thread scheduling purposes and lies dormant until
 * the specified waiting time elapses.
 *
 * If a permits is acquired then the value true is returned.
 *
 * If the specified waiting time elapses then the value false
 * is returned.  If the time is less than or equal to zero, the method
 * will not wait at all.
 *
 * @param permits amount
 * @param timeout the maximum time to wait for a permit
 * @param unit the time unit of the timeout argument
 * @return true if a permit was acquired and false
 *         if the waiting time elapsed before a permit was acquired
 */
boolean tryAcquire(long permits, long timeout, TimeUnit unit);

acquire 和 tryAcquire 均可用于获取指定数量的令牌,不过 acquire 会阻塞等待,而 tryAcquire 会等待 timeout 时间,如果仍然没有获得指定数量的令牌直接返回 false

1.3 使用示例

@Slf4j
@SpringBootTest
class RateLimiterTest {
    
    @Autowired
    private RedissonClient redissonClient;
    
    private static final int threadCount = 10;

    @Test
    void test() throws InterruptedException {
        RRateLimiter rateLimiter = redissonClient.getRateLimiter("my_limiter");
        rateLimiter.trySetRate(RateType.OVERALL, 10, 1, RateIntervalUnit.SECONDS);

        CountDownLatch latch = new CountDownLatch(threadCount);

        for (int i = 0; i < threadCount; i++) {
            new Thread(() -> {
                rateLimiter.tryAcquire(5, 3, TimeUnit.SECONDS);
                latch.countDown();
                log.info("latch count {}", latch.getCount());
            }).start();
        }
        
        latch.await();
    }
}

2024-01-16 20:14:27 INFO  [Thread-2] atreus.ink.rate.RateLimiterTest : latch count 9
2024-01-16 20:14:27 INFO  [Thread-3] atreus.ink.rate.RateLimiterTest : latch count 8
2024-01-16 20:14:28 INFO  [Thread-1] atreus.ink.rate.RateLimiterTest : latch count 7
2024-01-16 20:14:29 INFO  [Thread-10] atreus.ink.rate.RateLimiterTest : latch count 6
2024-01-16 20:14:29 INFO  [Thread-8] atreus.ink.rate.RateLimiterTest : latch count 5
2024-01-16 20:14:30 INFO  [Thread-5] atreus.ink.rate.RateLimiterTest : latch count 4
2024-01-16 20:14:30 INFO  [Thread-4] atreus.ink.rate.RateLimiterTest : latch count 3
2024-01-16 20:14:30 INFO  [Thread-6] atreus.ink.rate.RateLimiterTest : latch count 2
2024-01-16 20:14:30 INFO  [Thread-7] atreus.ink.rate.RateLimiterTest : latch count 1
2024-01-16 20:14:30 INFO  [Thread-9] atreus.ink.rate.RateLimiterTest : latch count 0

二、实现原理

Redisson 的 RRateLimiter 基于令牌桶实现,令牌桶的主要特点如下:

RRateLimiter 在创建限流器时通过下面 Lua 脚本设置限流器的相关参数:

redis.call('hsetnx', KEYS[1], 'rate', ARGV[1]);
redis.call('hsetnx', KEYS[1], 'interval', ARGV[2]);
return redis.call('hsetnx', KEYS[1], 'type', ARGV[3]);

而获取令牌则是通过以下的 Lua 脚本实现:

-- 请求参数示例
-- KEYS[1] my_limiter
-- KEYS[2] {my_limiter}:value
-- KEYS[4] {my_limiter}:permits
-- ARGV[1] 3 本次请求的令牌数
-- ARGV[2] 1705396021850 System.currentTimeMillis()
-- ARGV[3] 6966135962453115904 ThreadLocalRandom.current().nextLong()

-- 读取 RRateLimiter.trySetRate 中配置的限流器信息
local rate = redis.call('hget', KEYS[1], 'rate');  -- 10 一个时间窗口内产生的令牌数
local interval = redis.call('hget', KEYS[1], 'interval');  -- 1000 一个时间窗口对应的毫秒数
local type = redis.call('hget', KEYS[1], 'type');  -- 0 全局限流
assert(rate ~= false and interval ~= false and type ~= false, 'RateLimiter is not initialized')

local valueName = KEYS[2];  -- {my_limiter}:value 当前可用令牌数字符串的 key
local permitsName = KEYS[4];  -- {my_limiter}:permits 授权记录有序集合的 key

-- 单机限流配置 无需考虑
if type == '1' then
    valueName = KEYS[3];
    permitsName = KEYS[5];
end;

-- 查询当前可用的令牌数 查询失败表明是首次请求令牌
local currentValue = redis.call('get', valueName);
if currentValue == false then -- 首次请求令牌
    -- 单次请求的令牌数不能超过一个时间窗口内产生的令牌数
    assert(tonumber(rate) >= tonumber(ARGV[1]), 'Requested permits amount could not exceed defined rate');
    
    -- 更新当前可用令牌数以及令牌授权记录 {my_limiter}:permits
    -- set {my_limiter}:permits 10
    redis.call('set', valueName, rate);
    -- zadd {my_limiter}:permits 1705396021850 6966135962453115904_1
    redis.call('zadd', permitsName, ARGV[2], struct.pack('fI', ARGV[3], ARGV[1]));
    -- decrby {my_limiter}:permits 3
    redis.call('decrby', valueName, ARGV[1]);
    return nil;
else -- 再次请求令牌
    -- 查询可以回收的令牌对应的授权记录 即一个时间窗口前的所有授权记录且包括一个时间窗口前这一时刻
    -- 旧令牌回收的本质是新令牌的加入 如果一个令牌是在一个时间窗口前被分配的 那经过一个时间窗口后这个空出的位置应该已经由新令牌填充
    -- zrangebyscore {my_limiter}:permits 0 1705396020850
    local expiredValues = redis.call('zrangebyscore', permitsName, 0, tonumber(ARGV[2]) - interval); -- [1936135962853113704_2, 536135765023123704_5]
    
    -- 统计可以回收的令牌数
    local released = 0;
    for i, v in ipairs(expiredValues) do
        local random, permits = struct.unpack('fI', v);
        -- released = released + 2
        -- released = released + 5
        released = released + permits;
    end;

    -- 删除授权记录并回收令牌
    if released > 0 then
        -- zrem {my_limiter}:permits 1936135962853113704_2 536135765023123704_5
        redis.call('zrem', permitsName, unpack(expiredValues));
        currentValue = tonumber(currentValue) + released;
        -- incrby {my_limiter}:value 7
        redis.call('set', valueName, currentValue);
    end;

    if tonumber(currentValue) < tonumber(ARGV[1]) then
        -- 如果回收后可用令牌数仍然不足 返回需要等待的时间
        -- zrangebyscore {my_limiter}:permits (1705396020850 1705396021850 withscores limit 0 1
        local nearest = redis.call('zrangebyscore', permitsName, '(' .. (tonumber(ARGV[2]) - interval), tonumber(ARGV[2]), 'withscores', 'limit', 0, 1);
        local random, permits = struct.unpack('fI', nearest[1]);
        -- 1705396021650 - 1705396021850 + 1000 = 800
        return tonumber(nearest[2]) - (tonumber(ARGV[2]) - interval);
    else
        
        redis.call('zadd', permitsName, ARGV[2], struct.pack('fI', ARGV[3], ARGV[1]));
        redis.call('decrby', valueName, ARGV[1]);
        return nil;
    end;
end;

参考:

https://github.com/oneone1995/blog/issues/13

https://www.infoq.cn/article/Qg2tX8fyw5Vt-f3HH673

到此这篇关于Redisson分布式限流器RRateLimiter的使用及原理小结的文章就介绍到这了,更多相关Redisson RRateLimiter内容请搜索脚本之家以前的文章或继续浏览下面的相关文章希望大家以后多多支持脚本之家!

您可能感兴趣的文章:
阅读全文