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@Service
public class DistributedRateLimitService {
@Autowired
private RedisTemplate<String, Object> redisTemplate;
private static final Logger logger = LoggerFactory.getLogger(DistributedRateLimitService.class);
private static final String RATE_LIMIT_KEY_PREFIX = "rate_limit:";
private static final String RATE_LIMIT_CONFIG_KEY_PREFIX = "rate_limit_config:";
public RateLimitResult checkDistributedRateLimit(String key, RateLimiterConfig config) {
try {
String rateLimitKey = RATE_LIMIT_KEY_PREFIX + key;
String configKey = RATE_LIMIT_CONFIG_KEY_PREFIX + key;
redisTemplate.opsForValue().set(configKey, config, Duration.ofHours(1));
String luaScript = buildRateLimitLuaScript();
List<Object> result = redisTemplate.execute(new DefaultRedisScript<>(luaScript, List.class),
Collections.singletonList(rateLimitKey),
config.getPermitsPerSecond(),
System.currentTimeMillis() / 1000,
config.getMaxBurst()
);
boolean allowed = (Boolean) result.get(0);
double availablePermits = (Double) result.get(1);
RateLimitResult rateLimitResult = new RateLimitResult();
rateLimitResult.setApiKey(key);
rateLimitResult.setAllowed(allowed);
rateLimitResult.setRate(config.getPermitsPerSecond());
rateLimitResult.setAvailablePermits(availablePermits);
rateLimitResult.setTimestamp(System.currentTimeMillis());
if (!allowed) {
rateLimitResult.setMessage("分布式限流：请求频率过高");
}
logger.debug("分布式限流检查: key={}, allowed={}, availablePermits={}",
key, allowed, availablePermits);
return rateLimitResult;
} catch (Exception e) {
logger.error("分布式限流检查失败: key={}", key, e);
return RateLimitResult.rejected("分布式限流检查失败");
}
}
private String buildRateLimitLuaScript() {
return """
local key = KEYS[1]
local permitsPerSecond = tonumber(ARGV[1])
local currentTime = tonumber(ARGV[2])
local maxBurst = tonumber(ARGV[3])
local bucket = redis.call('HMGET', key, 'tokens', 'lastRefillTime')
local tokens = tonumber(bucket[1]) or maxBurst
local lastRefillTime = tonumber(bucket[2]) or currentTime
-- 计算时间差和需要补充的令牌数
local timePassed = currentTime - lastRefillTime
local tokensToAdd = timePassed * permitsPerSecond
tokens = math.min(tokens + tokensToAdd, maxBurst)
-- 检查是否有足够的令牌
if tokens >= 1 then
tokens = tokens - 1
redis.call('HMSET', key, 'tokens', tokens, 'lastRefillTime', currentTime)
redis.call('EXPIRE', key, 3600)
return {true, tokens}
else
redis.call('HMSET', key, 'tokens', tokens, 'lastRefillTime', currentTime)
redis.call('EXPIRE', key, 3600)
return {false, tokens}
end
""";
}
public RateLimiterStatus getDistributedRateLimitStatus(String key) {
try {
String rateLimitKey = RATE_LIMIT_KEY_PREFIX + key;
String configKey = RATE_LIMIT_CONFIG_KEY_PREFIX + key;
RateLimiterConfig config = (RateLimiterConfig) redisTemplate.opsForValue().get(configKey);
if (config == null) {
return null;
}
Map<Object, Object> bucket = redisTemplate.opsForHash().entries(rateLimitKey);
if (bucket.isEmpty()) {
RateLimiterStatus status = new RateLimiterStatus();
status.setRate(config.getPermitsPerSecond());
status.setAvailablePermits(config.getMaxBurst());
return status;
}
double tokens = Double.parseDouble(bucket.get("tokens").toString());
long lastRefillTime = Long.parseLong(bucket.get("lastRefillTime").toString());
long currentTime = System.currentTimeMillis() / 1000;
double timePassed = currentTime - lastRefillTime;
double tokensToAdd = timePassed * config.getPermitsPerSecond();
double availablePermits = Math.min(tokens + tokensToAdd, config.getMaxBurst());
RateLimiterStatus status = new RateLimiterStatus();
status.setRate(config.getPermitsPerSecond());
status.setAvailablePermits(availablePermits);
status.setCurrentTime(System.currentTimeMillis());
return status;
} catch (Exception e) {
logger.error("获取分布式限流状态失败: key={}", key, e);
return null;
}
}
public void cleanupDistributedRateLimit(String key) {
try {
String rateLimitKey = RATE_LIMIT_KEY_PREFIX + key;
String configKey = RATE_LIMIT_CONFIG_KEY_PREFIX + key;
redisTemplate.delete(rateLimitKey);
redisTemplate.delete(configKey);
logger.info("分布式限流数据清理完成: key={}", key);
} catch (Exception e) {
logger.error("清理分布式限流数据失败: key={}", key, e);
}
}
}
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