Redisson分布式限流器RRateLimiter的使用及原理小結(jié)
一、基本使用
1.1 創(chuàng)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 用于設(shè)置限流參數(shù)。其中 RateType 包含 OVERALL 和 PER_CLIENT 兩個(gè)枚舉常量,分別表示全局限流和單機(jī)限流。后面三個(gè)參數(shù)表明了令牌的生成速率,即每 rateInterval 生成 rate 個(gè)令牌,rateIntervalUnit 為 rateInterval 的時(shí)間單位。
1.2 獲取令牌
/** * 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 均可用于獲取指定數(shù)量的令牌,不過 acquire 會(huì)阻塞等待,而 tryAcquire 會(huì)等待 timeout 時(shí)間,如果仍然沒有獲得指定數(shù)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、實(shí)現(xiàn)原理
Redisson 的 RRateLimiter 基于令牌桶實(shí)現(xiàn),令牌桶的主要特點(diǎn)如下:
- 令牌以固定速率生成。
- 生成的令牌放入令牌桶中存放,如果令牌桶滿了則多余的令牌會(huì)直接丟棄,當(dāng)請(qǐng)求到達(dá)時(shí),會(huì)嘗試從令牌桶中取令牌,取到了令牌的請(qǐng)求可以執(zhí)行。
- 如果桶空了,那么嘗試取令牌的請(qǐng)求會(huì)被直接丟棄。
RRateLimiter 在創(chuàng)建限流器時(shí)通過下面 Lua 腳本設(shè)置限流器的相關(guān)參數(shù):
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]);
而獲取令牌則是通過以下的 Lua 腳本實(shí)現(xiàn):
-- 請(qǐng)求參數(shù)示例
-- KEYS[1] my_limiter
-- KEYS[2] {my_limiter}:value
-- KEYS[4] {my_limiter}:permits
-- ARGV[1] 3 本次請(qǐng)求的令牌數(shù)
-- ARGV[2] 1705396021850 System.currentTimeMillis()
-- ARGV[3] 6966135962453115904 ThreadLocalRandom.current().nextLong()
-- 讀取 RRateLimiter.trySetRate 中配置的限流器信息
local rate = redis.call('hget', KEYS[1], 'rate'); -- 10 一個(gè)時(shí)間窗口內(nèi)產(chǎn)生的令牌數(shù)
local interval = redis.call('hget', KEYS[1], 'interval'); -- 1000 一個(gè)時(shí)間窗口對(duì)應(yīng)的毫秒數(shù)
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 當(dāng)前可用令牌數(shù)字符串的 key
local permitsName = KEYS[4]; -- {my_limiter}:permits 授權(quán)記錄有序集合的 key
-- 單機(jī)限流配置 無需考慮
if type == '1' then
valueName = KEYS[3];
permitsName = KEYS[5];
end;
-- 查詢當(dāng)前可用的令牌數(shù) 查詢失敗表明是首次請(qǐng)求令牌
local currentValue = redis.call('get', valueName);
if currentValue == false then -- 首次請(qǐng)求令牌
-- 單次請(qǐng)求的令牌數(shù)不能超過一個(gè)時(shí)間窗口內(nèi)產(chǎn)生的令牌數(shù)
assert(tonumber(rate) >= tonumber(ARGV[1]), 'Requested permits amount could not exceed defined rate');
-- 更新當(dāng)前可用令牌數(shù)以及令牌授權(quán)記錄 {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 -- 再次請(qǐng)求令牌
-- 查詢可以回收的令牌對(duì)應(yīng)的授權(quán)記錄 即一個(gè)時(shí)間窗口前的所有授權(quán)記錄且包括一個(gè)時(shí)間窗口前這一時(shí)刻
-- 舊令牌回收的本質(zhì)是新令牌的加入 如果一個(gè)令牌是在一個(gè)時(shí)間窗口前被分配的 那經(jīng)過一個(gè)時(shí)間窗口后這個(gè)空出的位置應(yīng)該已經(jīng)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]
-- 統(tǒng)計(jì)可以回收的令牌數(shù)
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;
-- 刪除授權(quán)記錄并回收令牌
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數(shù)仍然不足 返回需要等待的時(shí)間
-- 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;
參考:
https://github.com/oneone1995/blog/issues/13
https://www.infoq.cn/article/Qg2tX8fyw5Vt-f3HH673
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