这篇“怎么使用AOP+redis+lua做限流”文章的知识点大部分人都不太理解，所以小编给大家总结了以下内容，内容详细，步骤清晰，具有一定的借鉴价值，希望大家阅读完这篇文章能有所收获，下面我们一起来看看这篇“怎么使用AOP+redis+lua做限流”文章吧。
需求
公司里使用OneByOne的方式删除数据，为了防止一段时间内删除数据过多，让我这边做一个接口限流，超过一定阈值后报异常，终止删除操作。
实现方式
创建自定义注解
@limit让使用者在需要的地方配置count(一定时间内最多访问次数)、period(给定的时间范围)，也就是访问频率。然后通过LimitInterceptor拦截方法的请求， 通过 redis+lua 脚本的方式，控制访问频率。
源码
Limit 注解
用于配置方法的访问频率count、period
import javax.validation.constraints.Min;import java.lang.annotation.*;@Target({ElementType.METHOD, ElementType.TYPE})@Retention(RetentionPolicy.RUNTIME)@Inherited@Documentedpublic @interface Limit { String key() default ""; String prefix() default ""; @Min(1) int count(); @Min(1) int period(); LimitType limitType() default LimitType.CUSTOMER;}LimitKey
用于标记参数，作为redis key值的一部分
import java.lang.annotation.ElementType;import java.lang.annotation.Retention;import java.lang.annotation.RetentionPolicy;import java.lang.annotation.Target;@Target(ElementType.PARAMETER)@Retention(RetentionPolicy.RUNTIME)public @interface LimitKey {}LimitType
枚举，redis key值的类型，支持自定义key和ip、methodName中获取key
public enum LimitType { CUSTOMER, IP, METHOD_NAME;}RedisLimiterHelper
初始化一个限流用到的redisTemplate Bean
import org.springframework.beans.factory.annotation.Qualifier;import org.springframework.context.annotation.Bean;import org.springframework.context.annotation.Configuration;import org.springframework.data.redis.core.RedisTemplate;import org.springframework.data.redis.core.StringRedisTemplate;import org.springframework.data.redis.serializer.GenericJackson2JsonRedisSerializer;import org.springframework.data.redis.serializer.StringRedisSerializer;import java.io.Serializable;@Configurationpublic class RedisLimiterHelper { @Bean public RedisTemplate<String, Serializable> limitRedisTemplate(@Qualifier("defaultStringRedisTemplate") StringRedisTemplate redisTemplate) { RedisTemplate<String, Serializable> template = new RedisTemplate<String, Serializable>(); template.setKeySerializer(new StringRedisSerializer()); template.setValueSerializer(new GenericJackson2JsonRedisSerializer()); template.setConnectionFactory(redisTemplate.getConnectionFactory()); return template; }}LimitInterceptor
使用 aop 的方式来拦截请求，控制访问频率
import com.google.common.collect.ImmutableList;import com.yxt.qida.api.bean.service.xxv2.openapi.anno.Limit;import com.yxt.qida.api.bean.service.xxv2.openapi.anno.LimitKey;import com.yxt.qida.api.bean.service.xxv2.openapi.anno.LimitType;import lombok.extern.slf4j.Slf4j;import org.apache.commons.lang3.ArrayUtils;import org.apache.commons.lang3.StringUtils;import org.aspectj.lang.ProceedingJoinPoint;import org.aspectj.lang.annotation.Around;import org.aspectj.lang.annotation.Aspect;import org.aspectj.lang.reflect.MethodSignature;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.context.annotation.Configuration;import org.springframework.data.redis.core.RedisTemplate;import org.springframework.data.redis.core.script.DefaultRedisScript;import org.springframework.data.redis.core.script.RedisScript;import org.springframework.web.context.request.RequestContextHolder;import org.springframework.web.context.request.ServletRequestAttributes;import javax.servlet.http.HttpServletRequest;import java.io.Serializable;import java.lang.annotation.Annotation;import java.lang.reflect.Method;@Slf4j@Aspect@Configurationpublic class LimitInterceptor { private static final String UNKNOWN = "unknown"; private final RedisTemplate<String, Serializable> limitRedisTemplate; @Autowired public LimitInterceptor(RedisTemplate<String, Serializable> limitRedisTemplate) { this.limitRedisTemplate = limitRedisTemplate; } @Around("execution(public * *(..)) && @annotation(com.yxt.qida.api.bean.service.xxv2.openapi.anno.Limit)") public Object interceptor(ProceedingJoinPoint pjp) { MethodSignature signature = (MethodSignature) pjp.getSignature(); Method method = signature.getMethod(); Limit limitAnnotation = method.getAnnotation(Limit.class); LimitType limitType = limitAnnotation.limitType(); int limitPeriod = limitAnnotation.period(); int limitCount = limitAnnotation.count(); String key; switch (limitType) { case IP: key = getIpAddress(); break; case CUSTOMER: key = limitAnnotation.key(); break; case METHOD_NAME: String methodName = method.getName(); key = StringUtils.upperCase(methodName); break; default: throw new RuntimeException("limitInterceptor - 无效的枚举值"); } Object[] args = pjp.getArgs(); Annotation[][] paramAnnoAry = method.getParameterAnnotations(); for (Annotation[] item : paramAnnoAry) { int paramIndex = ArrayUtils.indexOf(paramAnnoAry, item); for (Annotation anno : item) { if (anno instanceof LimitKey) { Object arg = args[paramIndex]; if (arg instanceof String && StringUtils.isNotBlank((String) arg)) { key = (String) arg; break; } } } } if (StringUtils.isBlank(key)) { throw new RuntimeException("limitInterceptor - key值不能为空"); } String prefix = limitAnnotation.prefix(); String[] keyAry = StringUtils.isBlank(prefix) ? new String[]{"limit", key} : new String[]{"limit", prefix, key}; ImmutableList<String> keys = ImmutableList.of(StringUtils.join(keyAry, "-")); try { String luaScript = buildLuaScript(); RedisScript<Number> redisScript = new DefaultRedisScript<Number>(luaScript, Number.class); Number count = limitRedisTemplate.execute(redisScript, keys, limitCount, limitPeriod); if (count != null && count.intValue() <= limitCount) { return pjp.proceed(); } else { String classPath = method.getDeclaringClass().getName() + "." + method.getName(); throw new RuntimeException("limitInterceptor - 限流被触发：" + "class:" + classPath + ", keys:" + keys + ", limitcount:" + limitCount + ", limitPeriod:" + limitPeriod + "s"); } } catch (Throwable e) { if (e instanceof RuntimeException) { throw new RuntimeException(e.getLocalizedMessage()); } throw new RuntimeException("limitInterceptor - 限流服务异常"); } } public String buildLuaScript() { StringBuilder lua = new StringBuilder(); lua.append("local c"); lua.append("\nc = redis.call('get',KEYS[1])"); // 调用不超过最大值，则直接返回 lua.append("\nif c and tonumber(c) > tonumber(ARGV[1]) then"); lua.append("\nreturn c;"); lua.append("\nend"); // 执行计算器自加 lua.append("\nc = redis.call('incr',KEYS[1])"); lua.append("\nif tonumber(c) == 1 then"); // 从第一次调用开始限流，设置对应键值的过期 lua.append("\nredis.call('expire',KEYS[1],ARGV[2])"); lua.append("\nend"); lua.append("\nreturn c;"); return lua.toString(); } public String getIpAddress() { HttpServletRequest request = ((ServletRequestAttributes) RequestContextHolder.getRequestAttributes()).getRequest(); String ip = request.getHeader("x-forwarded-for"); if (ip == null || ip.length() == 0 || UNKNOWN.equalsIgnoreCase(ip)) { ip = request.getHeader("Proxy-Client-IP"); } if (ip == null || ip.length() == 0 || UNKNOWN.equalsIgnoreCase(ip)) { ip = request.getHeader("WL-Proxy-Client-IP"); } if (ip == null || ip.length() == 0 || UNKNOWN.equalsIgnoreCase(ip)) { ip = request.getRemoteAddr(); } return ip; }}TestService
使用方式示例
@Limit(period = 10, count = 10) public String delUserByUrlTest(@LimitKey String token, String thirdId, String url) throws IOException { return "success"; }以上就是关于“怎么使用AOP+redis+lua做限流”这篇文章的内容，相信大家都有了一定的了解，希望小编分享的内容对大家有帮助，若想了解更多相关的知识内容，请关注编程网行业资讯频道。
