search
HomeDatabaseRedisHow to use AOP+redis+lua for current limiting

Requirements

The company uses the OneByOne method to delete data. In order to prevent too much data from being deleted within a period of time, let me create an interface current limit here. When it exceeds a certain threshold, an exception will be reported and terminated. delete operation.

Implementation method

Create custom annotations@limit Allow users to configure count where needed (maximum access within a certain period of time times), period (given time range), which is the access frequency. Then intercept the method request through LimitInterceptor, and control the access frequency through the redis lua script.

Source code

Limit annotation

Used to configure the access frequency count and period of the method

import javax.validation.constraints.Min;
import java.lang.annotation.*;
@Target({ElementType.METHOD, ElementType.TYPE})
@Retention(RetentionPolicy.RUNTIME)
@Inherited
@Documented
public @interface Limit {
    /**
     * key
     */
    String key() default "";
    /**
     * Key的前缀
     */
    String prefix() default "";
    /**
     * 一定时间内最多访问次数
     */
    @Min(1)
    int count();
    /**
     * 给定的时间范围 单位(秒)
     */
    @Min(1)
    int period();
    /**
     * 限流的类型(用户自定义key或者请求ip)
     */
    LimitType limitType() default LimitType.CUSTOMER;
}

LimitKey

Used to mark parameters as part of the redis key value

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

enumeration, the type of the redis key value, supports customization Get key from key, ip and methodName

public enum LimitType {
    /**
     * 自定义key
     */
    CUSTOMER,
    /**
     * 请求者IP
     */
    IP,
    /**
     * 方法名称
     */
    METHOD_NAME;
}

RedisLimiterHelper

Initialize a redisTemplate Bean used for current limiting

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;
@Configuration
public 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

Use aop method to intercept requests and control access frequency

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
@Configuration
public 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();
        /**
         * 根据限流类型获取不同的key ,如果不传我们会以方法名作为key
         */
        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");
        }
        /**
         * 获取注解标注的 key,这个是优先级最高的,会覆盖前面的 key 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");
        }
    }
    /**
     * lua 脚本,为了保证执行 redis 命令的原子性
     */
    public String buildLuaScript() {
        StringBuilder lua = new StringBuilder();
        lua.append("local c");
        lua.append("\nc = redis.call(&#39;get&#39;,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(&#39;incr&#39;,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(&#39;expire&#39;,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

Usage example

    @Limit(period = 10, count = 10)
    public String delUserByUrlTest(@LimitKey String token, String thirdId, String url) throws IOException {
        return "success";
    }

The above is the detailed content of How to use AOP+redis+lua for current limiting. For more information, please follow other related articles on the PHP Chinese website!

Statement
This article is reproduced at:亿速云. If there is any infringement, please contact admin@php.cn delete
Redis vs databases: performance comparisonsRedis vs databases: performance comparisonsMay 14, 2025 am 12:11 AM

Redisoutperformstraditionaldatabasesinspeedforread/writeoperationsduetoitsin-memorynature,whiletraditionaldatabasesexcelincomplexqueriesanddataintegrity.1)Redisisidealforreal-timeanalyticsandcaching,offeringphenomenalperformance.2)Traditionaldatabase

When Should I Use Redis Instead of a Traditional Database?When Should I Use Redis Instead of a Traditional Database?May 13, 2025 pm 04:01 PM

UseRedisinsteadofatraditionaldatabasewhenyourapplicationrequiresspeedandreal-timedataprocessing,suchasforcaching,sessionmanagement,orreal-timeanalytics.Redisexcelsin:1)Caching,reducingloadonprimarydatabases;2)Sessionmanagement,simplifyingdatahandling

Redis: Beyond SQL - The NoSQL PerspectiveRedis: Beyond SQL - The NoSQL PerspectiveMay 08, 2025 am 12:25 AM

Redis goes beyond SQL databases because of its high performance and flexibility. 1) Redis achieves extremely fast read and write speed through memory storage. 2) It supports a variety of data structures, such as lists and collections, suitable for complex data processing. 3) Single-threaded model simplifies development, but high concurrency may become a bottleneck.

Redis: A Comparison to Traditional Database ServersRedis: A Comparison to Traditional Database ServersMay 07, 2025 am 12:09 AM

Redis is superior to traditional databases in high concurrency and low latency scenarios, but is not suitable for complex queries and transaction processing. 1.Redis uses memory storage, fast read and write speed, suitable for high concurrency and low latency requirements. 2. Traditional databases are based on disk, support complex queries and transaction processing, and have strong data consistency and persistence. 3. Redis is suitable as a supplement or substitute for traditional databases, but it needs to be selected according to specific business needs.

Redis: Introduction to a Powerful In-Memory Data StoreRedis: Introduction to a Powerful In-Memory Data StoreMay 06, 2025 am 12:08 AM

Redisisahigh-performancein-memorydatastructurestorethatexcelsinspeedandversatility.1)Itsupportsvariousdatastructureslikestrings,lists,andsets.2)Redisisanin-memorydatabasewithpersistenceoptions,ensuringfastperformanceanddatasafety.3)Itoffersatomicoper

Is Redis Primarily a Database?Is Redis Primarily a Database?May 05, 2025 am 12:07 AM

Redis is primarily a database, but it is more than just a database. 1. As a database, Redis supports persistence and is suitable for high-performance needs. 2. As a cache, Redis improves application response speed. 3. As a message broker, Redis supports publish-subscribe mode, suitable for real-time communication.

Redis: Database, Server, or Something Else?Redis: Database, Server, or Something Else?May 04, 2025 am 12:08 AM

Redisisamultifacetedtoolthatservesasadatabase,server,andmore.Itfunctionsasanin-memorydatastructurestore,supportsvariousdatastructures,andcanbeusedasacache,messagebroker,sessionstorage,andfordistributedlocking.

Redis: Unveiling Its Purpose and Key ApplicationsRedis: Unveiling Its Purpose and Key ApplicationsMay 03, 2025 am 12:11 AM

Redisisanopen-source,in-memorydatastructurestoreusedasadatabase,cache,andmessagebroker,excellinginspeedandversatility.Itiswidelyusedforcaching,real-timeanalytics,sessionmanagement,andleaderboardsduetoitssupportforvariousdatastructuresandfastdataacces

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SecLists

SecLists

SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

MantisBT

MantisBT

Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

ZendStudio 13.5.1 Mac

ZendStudio 13.5.1 Mac

Powerful PHP integrated development environment

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use