对智能分析请求进行分布式限流(基于 RedissonRateLimiter)

This commit is contained in:
brian 2023-07-21 11:22:22 +08:00
parent 89ee9969a2
commit a13ec103c5
9 changed files with 209 additions and 28 deletions

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@ -129,7 +129,12 @@
<dependency>
<groupId>com.google.guava</groupId>
<artifactId>guava</artifactId>
<version>29.0-jre</version>
<version>31.1-jre</version>
</dependency>
<dependency>
<groupId>org.redisson</groupId>
<artifactId>redisson</artifactId>
<version>3.21.3</version>
</dependency>
</dependencies>

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@ -13,7 +13,7 @@ import java.lang.annotation.Target;
import java.util.concurrent.TimeUnit;
/**
* RateLimiter 限流注解
* GuavaRateLimiter 单机限流注解 RedissonRateLimiter 二选一使用即可
*
* @author yunpeng
* @version 1.0 2023/7/20
@ -21,7 +21,7 @@ import java.util.concurrent.TimeUnit;
@Target(ElementType.METHOD)
@Retention(RetentionPolicy.RUNTIME)
@Documented
public @interface RateLimiterTag {
public @interface GuavaRateLimiter {
int NOT_LIMITED = 0;
/**
* 用户qps 每个用户每秒的请求限制

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@ -0,0 +1,30 @@
/*
* @(#)RateLimiter.java
*
* Copyright © 2023 YunPeng Corporation.
*/
package top.peng.answerbi.annotation;
import java.lang.annotation.Documented;
import java.lang.annotation.ElementType;
import java.lang.annotation.Retention;
import java.lang.annotation.RetentionPolicy;
import java.lang.annotation.Target;
import java.util.concurrent.TimeUnit;
/**
* RedissonRateLimiter 分布式限流注解 GuavaRateLimiter 二选一使用即可
*
* @author yunpeng
* @version 1.0 2023/7/20
*/
@Target(ElementType.METHOD)
@Retention(RetentionPolicy.RUNTIME)
@Documented
public @interface RedissonRateLimiter {
int NOT_LIMITED = 0;
/**
* 用户qps 每个用户每秒的请求限制
*/
long qps() default NOT_LIMITED;
}

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@ -20,14 +20,14 @@ import org.springframework.stereotype.Component;
import org.springframework.web.context.request.RequestAttributes;
import org.springframework.web.context.request.RequestContextHolder;
import org.springframework.web.context.request.ServletRequestAttributes;
import top.peng.answerbi.annotation.RateLimiterTag;
import top.peng.answerbi.annotation.GuavaRateLimiter;
import top.peng.answerbi.common.ErrorCode;
import top.peng.answerbi.exception.ThrowUtils;
import top.peng.answerbi.model.entity.User;
import top.peng.answerbi.service.UserService;
/**
* RateLimiterInterceptor 限流切面
* GuavaRateLimiterInterceptor 单机限流切面
*
* @author yunpeng
* @version 1.0 2023/7/20
@ -35,14 +35,14 @@ import top.peng.answerbi.service.UserService;
@Slf4j
@Aspect
@Component
public class RateLimiterInterceptor {
public class GuavaRateLimiterInterceptor {
@Resource
private UserService userService;
private static final ConcurrentMap<String, RateLimiter> RATE_LIMITER_CACHE = new ConcurrentHashMap<>();
@Around("@annotation(rateLimiterTag)")
public Object doInterceptor(ProceedingJoinPoint point, RateLimiterTag rateLimiterTag) throws Throwable {
@Around("@annotation(guavaRateLimiter)")
public Object doInterceptor(ProceedingJoinPoint point, GuavaRateLimiter guavaRateLimiter) throws Throwable {
RequestAttributes requestAttributes = RequestContextHolder.currentRequestAttributes();
HttpServletRequest request = ((ServletRequestAttributes) requestAttributes).getRequest();
@ -51,8 +51,8 @@ public class RateLimiterInterceptor {
// 当前请求方法
Method method = ((MethodSignature) point.getSignature()).getMethod();
String key = loginUser.getId() + "#" + method.getName();
if (rateLimiterTag != null && rateLimiterTag.qps() > RateLimiterTag.NOT_LIMITED) {
double qps = rateLimiterTag.qps();
if (guavaRateLimiter != null && guavaRateLimiter.qps() > GuavaRateLimiter.NOT_LIMITED) {
double qps = guavaRateLimiter.qps();
if (RATE_LIMITER_CACHE.get(key) == null) {
// 初始化 QPS
@ -64,7 +64,7 @@ public class RateLimiterInterceptor {
if (RATE_LIMITER_CACHE.get(key) != null){
RateLimiter limiter = RATE_LIMITER_CACHE.get(key);
ThrowUtils.throwIf(
!limiter.tryAcquire(rateLimiterTag.timeout(), rateLimiterTag.timeUnit()),
!limiter.tryAcquire(guavaRateLimiter.timeout(), guavaRateLimiter.timeUnit()),
ErrorCode.TOO_MANY_REQUEST);
}
}

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@ -0,0 +1,65 @@
/*
* @(#)RateLimiterInterceptor.java
*
* Copyright © 2023 YunPeng Corporation.
*/
package top.peng.answerbi.aop;
import com.google.common.util.concurrent.RateLimiter;
import java.lang.reflect.Method;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.ConcurrentMap;
import javax.annotation.Resource;
import javax.servlet.http.HttpServletRequest;
import lombok.extern.slf4j.Slf4j;
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.stereotype.Component;
import org.springframework.web.context.request.RequestAttributes;
import org.springframework.web.context.request.RequestContextHolder;
import org.springframework.web.context.request.ServletRequestAttributes;
import top.peng.answerbi.annotation.GuavaRateLimiter;
import top.peng.answerbi.annotation.RedissonRateLimiter;
import top.peng.answerbi.common.ErrorCode;
import top.peng.answerbi.exception.ThrowUtils;
import top.peng.answerbi.manager.RedisLimiterManager;
import top.peng.answerbi.model.entity.User;
import top.peng.answerbi.service.UserService;
/**
* RedissonRateLimiterInterceptor 分布式限流切面
*
* @author yunpeng
* @version 1.0 2023/7/20
*/
@Slf4j
@Aspect
@Component
public class RedissonRateLimiterInterceptor {
@Resource
private UserService userService;
@Resource
private RedisLimiterManager redisLimiterManager;
private static final ConcurrentMap<String, RateLimiter> RATE_LIMITER_CACHE = new ConcurrentHashMap<>();
@Around("@annotation(rRateLimiter)")
public Object doInterceptor(ProceedingJoinPoint point, RedissonRateLimiter rRateLimiter) throws Throwable {
RequestAttributes requestAttributes = RequestContextHolder.currentRequestAttributes();
HttpServletRequest request = ((ServletRequestAttributes) requestAttributes).getRequest();
// 当前登录用户
User loginUser = userService.getLoginUser(request);
// 当前请求方法
Method method = ((MethodSignature) point.getSignature()).getMethod();
String key = loginUser.getId() + "#" + method.getName();
if (rRateLimiter != null && rRateLimiter.qps() > RedissonRateLimiter.NOT_LIMITED) {
redisLimiterManager.doRateLimit(key, rRateLimiter.qps());
}
return point.proceed();
}
}

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@ -0,0 +1,45 @@
/*
* @(#)RedissonConfig.java
*
* Copyright © 2023 YunPeng Corporation.
*/
package top.peng.answerbi.config;
import lombok.Data;
import org.redisson.Redisson;
import org.redisson.api.RedissonClient;
import org.redisson.config.Config;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
/**
* RedissonConfig
*
* @author yunpeng
* @version 1.0 2023/7/20
*/
@Configuration
@ConfigurationProperties(prefix = "spring.redis")
@Data
public class RedissonConfig {
private Integer database;
private String host;
private Integer port;
private String password;
@Bean
public RedissonClient getRedissonClient(){
Config config = new Config();
//添加单机redisson配置
config.useSingleServer()
.setDatabase(database)
.setAddress("redis://" + host + ":" + port)
.setPassword(password);
return Redisson.create(config);
}
}

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@ -2,22 +2,18 @@ package top.peng.answerbi.controller;
import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
import com.google.gson.Gson;
import java.io.File;
import java.util.Arrays;
import java.util.List;
import org.apache.commons.lang3.RandomStringUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.poi.util.StringUtil;
import org.springframework.web.bind.annotation.RequestPart;
import org.springframework.web.multipart.MultipartFile;
import top.peng.answerbi.annotation.AuthCheck;
import top.peng.answerbi.annotation.RateLimiterTag;
import top.peng.answerbi.annotation.GuavaRateLimiter;
import top.peng.answerbi.annotation.RedissonRateLimiter;
import top.peng.answerbi.common.CommonResponse;
import top.peng.answerbi.common.DeleteRequest;
import top.peng.answerbi.common.ErrorCode;
import top.peng.answerbi.common.ResultUtils;
import top.peng.answerbi.constant.BiConstant;
import top.peng.answerbi.constant.FileConstant;
import top.peng.answerbi.constant.UserConstant;
import top.peng.answerbi.exception.BusinessException;
import top.peng.answerbi.exception.ThrowUtils;
@ -27,10 +23,8 @@ import top.peng.answerbi.model.dto.chart.ChartEditRequest;
import top.peng.answerbi.model.dto.chart.ChartQueryRequest;
import top.peng.answerbi.model.dto.chart.ChartUpdateRequest;
import top.peng.answerbi.model.dto.chart.GenChartByAiRequest;
import top.peng.answerbi.model.dto.file.UploadFileRequest;
import top.peng.answerbi.model.entity.Chart;
import top.peng.answerbi.model.entity.User;
import top.peng.answerbi.model.enums.FileUploadBizEnum;
import top.peng.answerbi.model.vo.BiResponse;
import top.peng.answerbi.service.ChartService;
import top.peng.answerbi.service.UserService;
@ -238,7 +232,7 @@ public class ChartController {
* @return
*/
@PostMapping("/gen")
@RateLimiterTag(qps = 1.0, timeout = 100)
@RedissonRateLimiter(qps = 1)
public CommonResponse<BiResponse> genChartByAi(@RequestPart("file") MultipartFile multipartFile,
GenChartByAiRequest genChartByAiRequest, HttpServletRequest request) {
String chartName = genChartByAiRequest.getChartName();
@ -269,7 +263,6 @@ public class ChartController {
//压缩后的数据
String csvData = ExcelUtils.excelToCsv(multipartFile);
userInput.append(csvData).append("\n");
String aiResult = aiManager.doChat(BiConstant.BI_MODEL_ID, userInput.toString());
BiResponse biResponse = aiManager.aiAnsToBiResp(aiResult);

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@ -0,0 +1,44 @@
/*
* @(#)RedisLimiterManager.java
*
* Copyright © 2023 YunPeng Corporation.
*/
package top.peng.answerbi.manager;
import javax.annotation.Resource;
import org.redisson.api.RRateLimiter;
import org.redisson.api.RateIntervalUnit;
import org.redisson.api.RateType;
import org.redisson.api.RedissonClient;
import org.springframework.stereotype.Service;
import top.peng.answerbi.common.ErrorCode;
import top.peng.answerbi.config.RedissonConfig;
import top.peng.answerbi.exception.ThrowUtils;
/**
* RedisLimiterManager 提供 RedisLimiter 限流基础服务的
*
* @author yunpeng
* @version 1.0 2023/7/21
*/
@Service
public class RedisLimiterManager {
@Resource
private RedissonClient redissonClient;
/**
* 限流操作
* @param key 区分不同限流器比如不同的用户应该分别统计
*/
public void doRateLimit(String key, long qps){
//创建一个每秒最低访问两次的限流器 key为限流器名称
RRateLimiter rRateLimiter = redissonClient.getRateLimiter(key);
//限流器的规则(每秒 qps 个请求(1秒中生产qps个令牌); 连续的请求,最多只能有1个请求被允许通过)
//RateType.OVERALL 表示速率限制作用于整个令牌桶, 即所有实例共享
rRateLimiter.trySetRate(RateType.OVERALL, qps, 1, RateIntervalUnit.SECONDS);
//请求一个令牌
boolean canOp = rRateLimiter.tryAcquire(1);
//没有令牌可用抛异常
ThrowUtils.throwIf(!canOp, ErrorCode.TOO_MANY_REQUEST);
}
}

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@ -22,13 +22,12 @@ spring:
username: root
password: 123456
# Redis 配置
# todo 需替换配置,然后取消注释
# redis:
# database: 1
# host: localhost
# port: 6379
# timeout: 5000
# password: 123456
redis:
database: 1
host: localhost
port: 6379
timeout: 5000
password: 123456
# Elasticsearch 配置
# todo 需替换配置,然后取消注释
# elasticsearch: