Bagaimana untuk melaksanakan pengehadan semasa yang diedarkan SpringBoot+Redis+Lua-Redis-php.cn

Kelebihan utama Redis menyokong skrip LUA

Penyepaduan skrip LUA akan mewujudkan lebih banyak senario penggunaan untuk pangkalan data Redis dan membawa lebih banyak kelebihan baharu:

Kecekapan: Kurangkan overhed dan kelewatan rangkaian Operasi berbilang permintaan rangkaian pelayan redis boleh dilengkapkan dengan satu permintaan menggunakan skrip LUA
Kebolehpercayaan data: Redis akan merawat keseluruhan skrip secara keseluruhan Pelaksanaan. , tiada arahan lain akan disisipkan di tengah.
Kebolehgunaan semula: Selepas skrip LUA dilaksanakan, ia akan disimpan secara kekal pada pelayan Redis dan pelanggan lain boleh terus menggunakannya semula
Kebolehbenamkan : Boleh dibenamkan dalam JAVA, C# dan bahasa pengaturcaraan lain, menyokong interaksi merentas platform dengan sistem pengendalian yang berbeza
Mudah dan berkuasa: kecil dan ringan, penggunaan sumber yang rendah, menyokong prosedur dan Bahasa pengaturcaraan berasaskan objek

Ini juga kali pertama saya menggunakan bahasa lua di tempat kerja Rakamnya

Buat fail Lua req_ratelimit.lua

local key = KEYS[1]   --限流KEY
local limitCount = tonumber(ARGV[1])       --限流大小
local limitTime = tonumber(ARGV[2])        --限流时间
local current = redis.call(&#39;get&#39;, key);
if current then
    if current + 1 > limitCount then --如果超出限流大小
        return 0
    else
        redis.call("INCRBY", key,"1")
        return current + 1
    end
else
    redis.call("set", key,"1")
    redis.call("expire", key,limitTime)
    return 1
end

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Bagaimana untuk melaksanakan pengehadan semasa yang diedarkan SpringBoot+Redis+Lua

RateLimiter anotasi tersuai

package com.shinedata.ann;
 
import java.lang.annotation.ElementType;
import java.lang.annotation.Retention;
import java.lang.annotation.RetentionPolicy;
import java.lang.annotation.Target;
 
 
@Target({ElementType.TYPE, ElementType.METHOD})
@Retention(RetentionPolicy.RUNTIME)
public @interface RateLimiter {
 
    /**
     * 限流唯一标识
     * @return
     */
    String key() default "rate.limit:";
 
    /**
     * 限流时间
     * @return
     */
    int time() default 1;
 
    /**
     * 限流次数
     * @return
     */
    int count() default 100;
 
    /**
     *是否限制IP,默认 否
     * @return
     */
    boolean restrictionsIp() default false;
}

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Aspek definisi RateLimiterAspect

package com.shinedata.aop;
 
import com.shinedata.ann.RateLimiter;
import com.shinedata.config.redis.RedisUtils;
import com.shinedata.exception.RateLimiterException;
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.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.annotation.Configuration;
import org.springframework.core.io.ClassPathResource;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.script.DefaultRedisScript;
import org.springframework.scripting.support.ResourceScriptSource;
import org.springframework.stereotype.Component;
import org.springframework.web.context.request.RequestContextHolder;
import org.springframework.web.context.request.ServletRequestAttributes;
 
import javax.annotation.PostConstruct;
import javax.servlet.http.HttpServletRequest;
import java.io.Serializable;
import java.lang.reflect.Method;
import java.util.Collections;
import java.util.List;
 
/**
 * @ClassName RateLimiterAspect
 * @Author yupanpan
 * @Date 2020/5/6 13:46
 */
@Aspect
@Component
public class RateLimiterAspect {
 
    private final Logger logger	= LoggerFactory.getLogger(this.getClass());
 
    private static ThreadLocal<String> ipThreadLocal=new ThreadLocal();
 
    private DefaultRedisScript<Number> redisScript;
 
    @PostConstruct
    public void init(){
        redisScript = new DefaultRedisScript<Number>();
        redisScript.setResultType(Number.class);
        redisScript.setScriptSource(new ResourceScriptSource(new ClassPathResource("redis/req_ratelimit.lua")));
    }
 
    @Around("@annotation(com.shinedata.ann.RateLimiter)")
    public Object interceptor(ProceedingJoinPoint joinPoint) throws Throwable {
        try {
            MethodSignature signature = (MethodSignature) joinPoint.getSignature();
            Method method = signature.getMethod();
            Class<?> targetClass = method.getDeclaringClass();
            RateLimiter rateLimit = method.getAnnotation(RateLimiter.class);
 
            if (rateLimit != null) {
                HttpServletRequest request = ((ServletRequestAttributes) RequestContextHolder.getRequestAttributes()).getRequest();
                boolean restrictionsIp = rateLimit.restrictionsIp();
                if(restrictionsIp){
                    ipThreadLocal.set(getIpAddr(request));
                }
 
                StringBuffer stringBuffer = new StringBuffer();
                stringBuffer.append(rateLimit.key());
                if(StringUtils.isNotBlank(ipThreadLocal.get())){
                    stringBuffer.append(ipThreadLocal.get()).append("-");
                }
                stringBuffer.append("-").append(targetClass.getName()).append("- ").append(method.getName());
 
                List<String> keys = Collections.singletonList(stringBuffer.toString());
 
                Number number = RedisUtils.execute(redisScript, keys, rateLimit.count(), rateLimit.time());
 
                if (number != null && number.intValue() != 0 && number.intValue() <= rateLimit.count()) {
                    logger.info("限流时间段内访问第：{} 次", number.toString());
                    return joinPoint.proceed();
                }else {
                    logger.error("已经到设置限流次数,当前次数:{}",number.toString());
                    throw new RateLimiterException("服务器繁忙,请稍后再试");
                }
            } else {
                return joinPoint.proceed();
            }
        }finally {
            ipThreadLocal.remove();
        }
    }
 
    public static String getIpAddr(HttpServletRequest request) {
        String ipAddress = null;
        try {
            ipAddress = request.getHeader("x-forwarded-for");
            if (ipAddress == null || ipAddress.length() == 0 || "unknown".equalsIgnoreCase(ipAddress)) {
                ipAddress = request.getHeader("Proxy-Client-IP");
            }
            if (ipAddress == null || ipAddress.length() == 0 || "unknown".equalsIgnoreCase(ipAddress)) {
                ipAddress = request.getHeader("WL-Proxy-Client-IP");
            }
            if (ipAddress == null || ipAddress.length() == 0 || "unknown".equalsIgnoreCase(ipAddress)) {
                ipAddress = request.getRemoteAddr();
            }
            // 对于通过多个代理的情况，第一个IP为客户端真实IP,多个IP按照&#39;,&#39;分割
            if (ipAddress != null && ipAddress.length() > 15) {
                // "***.***.***.***".length()= 15
                if (ipAddress.indexOf(",") > 0) {
                    ipAddress = ipAddress.substring(0, ipAddress.indexOf(","));
                }
            }
        } catch (Exception e) {
            ipAddress = "";
        }
        return ipAddress;
    }
}

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Redis data musim bunga menyediakan DefaultRedisScript untuk berinteraksi dengan lua dan redis Internet untuk butiran khusus, di sini ThreadLocal digunakan kerana IP adalah berubah-ubah, memastikan IP thread anda sendiri tidak akan diubah suai oleh thread lain Ingat untuk membersihkan ThreadLocal pada penghujungnya untuk mengelakkan kebocoran memori

RedisUtils. kelas alat (terlalu banyak kaedah, hanya laksanakan ditunjukkan Kaedah)

package com.shinedata.config.redis;
 
import org.checkerframework.checker.units.qual.K;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
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.stereotype.Component;
import org.springframework.util.CollectionUtils;
 
import javax.annotation.PostConstruct;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.TimeUnit;
 
/**
 * @ClassName RedisUtils
 * @Author yupanpan
 * @Date 2019/11/20 13:38
 */
@Component
public class RedisUtils {
 
    @Autowired
    @Qualifier("redisTemplate")
    private RedisTemplate<String, Object> redisTemplate;
 
    private static RedisUtils redisUtils;
    
    @PostConstruct
    public void init() {
        redisUtils = this;
        redisUtils.redisTemplate = this.redisTemplate;
    }
 
    public static Number execute(DefaultRedisScript<Number> script, List keys, Object... args) {
        return redisUtils.redisTemplate.execute(script, keys,args);
    }
}

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RedisTemplate yang dikonfigurasikan sendiri

package com.shinedata.config.redis;
 
import org.apache.log4j.LogManager;
import org.apache.log4j.Logger;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.connection.jedis.JedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.GenericJackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import redis.clients.jedis.JedisPoolConfig;
 
/**
 * @ClassName RedisConfig
 * @Author yupanpan
 * @Date 2019/11/20 13:26
 */
@Configuration
public class RedisConfig extends RedisProperties{
 
    protected Logger log = LogManager.getLogger(RedisConfig.class);
 
    /**
     * JedisPoolConfig 连接池
     * @return
     */
    @Bean("jedisPoolConfig")
    public JedisPoolConfig jedisPoolConfig() {
        JedisPoolConfig jedisPoolConfig = new JedisPoolConfig();
        // 最大空闲数
        jedisPoolConfig.setMaxIdle(500);
        jedisPoolConfig.setMinIdle(100);
        // 连接池的最大数据库连接数
        jedisPoolConfig.setMaxTotal(6000);
        // 最大建立连接等待时间
        jedisPoolConfig.setMaxWaitMillis(5000);
        // 逐出连接的最小空闲时间 默认1800000毫秒(30分钟)
        jedisPoolConfig.setMinEvictableIdleTimeMillis(100);
        // 每次逐出检查时 逐出的最大数目 如果为负数就是 : 1/abs(n), 默认3
//        jedisPoolConfig.setNumTestsPerEvictionRun(numTestsPerEvictionRun);
        // 逐出扫描的时间间隔(毫秒) 如果为负数,则不运行逐出线程, 默认-1
        jedisPoolConfig.setTimeBetweenEvictionRunsMillis(600);
        // 是否在从池中取出连接前进行检验,如果检验失败,则从池中去除连接并尝试取出另一个
        jedisPoolConfig.setTestOnBorrow(true);
        // 在空闲时检查有效性, 默认false
        jedisPoolConfig.setTestWhileIdle(false);
        return jedisPoolConfig;
    }
 
    /**
     * JedisConnectionFactory
     * @param jedisPoolConfig
     */
    @Bean("jedisConnectionFactory")
    public JedisConnectionFactory jedisConnectionFactory(@Qualifier("jedisPoolConfig")JedisPoolConfig jedisPoolConfig) {
        JedisConnectionFactory JedisConnectionFactory = new JedisConnectionFactory(jedisPoolConfig);
        // 连接池
        JedisConnectionFactory.setPoolConfig(jedisPoolConfig);
        // IP地址
        JedisConnectionFactory.setHostName(redisHost);
        // 端口号
        JedisConnectionFactory.setPort(redisPort);
        // 如果Redis设置有密码
         JedisConnectionFactory.setPassword(redisPassword);
        // 客户端超时时间单位是毫秒
        JedisConnectionFactory.setTimeout(10000);
        return JedisConnectionFactory;
    }
 
    /**
     * 实例化 RedisTemplate 对象代替原有的RedisTemplate<String, String>
     * @return
     */
    @Bean("redisTemplate")
    public RedisTemplate<String, Object> functionDomainRedisTemplate(@Qualifier("jedisConnectionFactory") RedisConnectionFactory redisConnectionFactory) {
        RedisTemplate<String, Object> redisTemplate = new RedisTemplate<>();
        initDomainRedisTemplate(redisTemplate, redisConnectionFactory);
        return redisTemplate;
    }
 
    /**
     * 设置数据存入 redis 的序列化方式
     * @param redisTemplate
     * @param factory
     */
    private void initDomainRedisTemplate(RedisTemplate<String, Object> redisTemplate, RedisConnectionFactory factory) {
        // 如果不配置Serializer，那么存储的时候缺省使用String，比如如果用User类型存储，那么会提示错误User can&#39;t cast
        // to String！
        redisTemplate.setKeySerializer(new StringRedisSerializer());
        redisTemplate.setHashKeySerializer(new StringRedisSerializer());
        redisTemplate.setHashValueSerializer(new GenericJackson2JsonRedisSerializer());
        redisTemplate.setValueSerializer(new GenericJackson2JsonRedisSerializer());
        // 开启事务/true必须手动释放连接，false会自动释放连接 如果调用方有用@Transactional做事务控制，可以开启事务,Spring会处理连接问题
        redisTemplate.setEnableTransactionSupport(false);
        redisTemplate.setConnectionFactory(factory);
    }
}

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Pengecualian Pengawal Global mengendalikan GlobalExceptionHandler

package com.shinedata.exception;
 
import com.fasterxml.jackson.databind.JsonMappingException;
import com.shinedata.util.ResultData;
import org.apache.commons.lang3.StringUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.http.HttpStatus;
import org.springframework.web.bind.annotation.ExceptionHandler;
import org.springframework.web.bind.annotation.ResponseStatus;
import org.springframework.web.bind.annotation.RestControllerAdvice;
 
@RestControllerAdvice
public class GlobalExceptionHandler {
 
    private Logger logger = LoggerFactory.getLogger(GlobalExceptionHandler.class);
 
    @ExceptionHandler(value = RateLimiterException.class)
    @ResponseStatus(HttpStatus.OK)
    public ResultData runtimeExceptionHandler(RateLimiterException e) {
        logger.error("系统错误:", e);
        return ResultData.getResultError(StringUtils.isNotBlank(e.getMessage()) ? e.getMessage() : "处理失败");
    }
 
    @ExceptionHandler(value = Exception.class)
    @ResponseStatus(HttpStatus.OK)
    public ResultData runtimeExceptionHandler(RuntimeException e) {
        Throwable cause = e.getCause();
        logger.error("系统错误:", e);
        logger.error(e.getMessage());
        if (cause instanceof JsonMappingException) {
            return ResultData.getResultError("参数错误");
        }
        return ResultData.getResultError(StringUtils.isNotBlank(e.getMessage()) ? e.getMessage() : "处理失败");
    }
 
}

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Ia sangat mudah digunakan, cuma satu anotasi

Bagaimana untuk melaksanakan pengehadan semasa yang diedarkan SpringBoot+Redis+Lua

Tambahan: Lua dioptimumkan untuk

local key = KEYS[1]
local limitCount = tonumber(ARGV[1])
local limitTime = tonumber(ARGV[2])
local current = redis.call(&#39;get&#39;, key);
if current then
    redis.call("INCRBY", key,"1")
    return current + 1
else
    redis.call("set", key,"1")
    redis.call("expire", key,limitTime)
    return 1
end

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