redis制作计数器的方法

发布时间：2020-06-12 12:34:46 作者：Leah
来源：亿速云阅读：305

这篇文章将为大家详细讲解有关redis制作计数器的方法，小编觉得挺实用的，因此分享给大家做个参考，希望大家阅读完这篇文章后可以有所收获。

用redis来存储下单计数，每天当第一个用户下单时，在redis中创建两个map对象，20170314_pz_ip_order_count 用来储存20170314 这天的ip 下单计数，map的key是ip地址，20170314_pz_user_order_count 用来存储20170314这天的用户下单计数 map对象的key是用户id.

1.redis依赖包

     <dependency>   
        <groupId>org.springframework.data</groupId>   
        <artifactId>spring-data-redis</artifactId>   
        <version>1.4.0.RELEASE</version>   
    </dependency>   

    <dependency>   
        <groupId>redis.clients</groupId>   
        <artifactId>jedis</artifactId>   
        <version>2.5.1</version>   
    </dependency>

ps:用于开始导入的clieant的jar包1.4 版本比较低，所以导致redis连不上，所以redis还是要看服务端的版本，选择对应的client

2.spring配置

<bean id="redisTemplate" class="org.springframework.data.redis.core.StringRedisTemplate">   
    <property name="connectionFactory"   ref="connectionFactory" />   
</bean>

ps:高版本的poolConfig配置属性有所变更，比如之前maxAcive 变为 maxTotal

3.编码

package com.pz998.rpc.service.impl;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.RedisSerializer;

public abstract class AbstractBaseRedisService<K, V>{
@Autowired
protected RedisTemplate<K, V> redisTemplate;

    /**  
     * 设置redisTemplate  
     * @param redisTemplate the redisTemplate to set  
     */   
    public void setRedisTemplate(RedisTemplate<K, V> redisTemplate) {   
        this.redisTemplate = redisTemplate;   
    }   

    /**  
     * 获取 RedisSerializer  
     * <br>------------------------------<br>  
     */   
    protected RedisSerializer<String> getRedisSerializer() {   
        return redisTemplate.getStringSerializer();   
    }

}

package com.pz998.rpc.service.impl;

import java.util.Date;
import java.util.concurrent.TimeUnit;

import org.apache.commons.lang.StringUtils;
import org.apache.commons.lang.time.DateFormatUtils;
import org.springframework.stereotype.Service;

import com.pz998.rpc.common.utils.Contents;
import com.pz998.rpc.service.RequestCountRpcService;
@Service("requestCountRpcService")
public class RequestCountRpcServiceImpl extends AbstractBaseRedisService<String, Object> implements RequestCountRpcService{

public void ipCount(String ip, Integer count) { 
    String curDate = DateFormatUtils.format(new Date(), "yyyyMMdd"); 
    String key = curDate+Contents.IP_LIMIT_KEY_SUFFIX; 
    Integer oldCount = get(key,ip); 
    oldCount = oldCount+count; 
    add(key, ip,oldCount); 
} 

public void userCount(String userId, Integer count) { 
    String curDate = DateFormatUtils.format(new Date(), "yyyyMMdd"); 
    String key = curDate+Contents.USER_LIMIT_KEY_SUFFIX; 
    Integer oldCount = get(key,userId); 
    oldCount = oldCount+count; 
    add(key,userId,oldCount); 

} 

public void clear(String key, String hashKey){ 
    redisTemplate.opsForHash().delete(key, hashKey); 
} 

public void add(String key, String hashKey, Integer count) { 
    String countStr = count==null?"0":count.toString(); 
    redisTemplate.opsForHash().put(key,hashKey, countStr); 
    redisTemplate.expire(key, 24*60*2, TimeUnit.MINUTES); 
} 

public Integer get(String key, String hashKey) { 
    String val = (String)redisTemplate.opsForHash().get(key, hashKey); 
    if(StringUtils.isEmpty(val)){ 
        return 0; 
    } 

    return Integer.parseInt(val); 
}

}

4.拦截器配置

<mvc:interceptors> 
     <mvc:interceptor> 
        <mvc:mapping path="/**"/>  
        <bean class="com.pz998.app.service.interceptor.SecurityInterceptor"> 
            <property name="ipLimitCount" value="10"></property> 
            <property name="userLimitCount" value="5"></property> 
            <property name="methodSet"> 
                <set> 
                    <value>submitJjqhOrder</value> 
                    <value>submitYymyOrder</value> 
                    <value>submitJypzOrder</value> 
                    <value>submitGhpzOrder</value> 
                    <value>submitDqbgOrder</value> 
                </set> 
            </property> 
        </bean> 
    </mvc:interceptor> 
    <!-- 当设置多个拦截器时，先按顺序调用preHandle方法，然后逆序调用每个拦截器的postHandle和afterCompletion方法 -->  
</mvc:interceptors>

ps:将具体拦截的业务方法methodSet，ip限制的阀值ipLimitCount，user阀值userLimitCount 作为拦截器的属性进行注入，这样增强了配置灵活性

5.拦截器编写

package com.pz998.app.service.interceptor;

import java.io.IOException;
import java.io.PrintWriter;
import java.util.Date;
import java.util.Set;

import javax.servlet.ServletContext;
import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;

import org.apache.commons.lang.StringUtils;
import org.apache.commons.lang.time.DateFormatUtils;
import org.springframework.web.context.WebApplicationContext;
import org.springframework.web.context.support.WebApplicationContextUtils;
import org.springframework.web.servlet.HandlerInterceptor;
import org.springframework.web.servlet.ModelAndView;

import com.alibaba.fastjson.JSON;
import com.pz998.rpc.common.model.vo.ResponseVoRpc;
import com.pz998.rpc.common.utils.Contents;
import com.pz998.rpc.service.RequestCountRpcService;

public class SecurityInterceptor implements HandlerInterceptor{

private RequestCountRpcService requestCountRpcService; 

private Integer ipLimitCount = 10; 
private Integer userLimitCount = 5; 

private Set<String> methodSet; 

public String getRemoteHost(javax.servlet.http.HttpServletRequest request){ 
    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.equals("0:0:0:0:0:0:0:1")?"127.0.0.1":ip; 
} 

@Override 
public boolean preHandle(HttpServletRequest request, HttpServletResponse response, Object handler) 
        throws Exception { 
    String customerId = request.getParameter("customerId"); 
    String mn = request.getParameter("mn"); 
    if(StringUtils.isEmpty(mn)){ 
        return true; 
    }  
    if(!methodSet.contains(mn)){ 
        return true;  
    }  
    ServletContext servletContext = request.getServletContext();  
    WebApplicationContext ctx = WebApplicationContextUtils.getWebApplicationContext(servletContext);               
    requestCountRpcService = (RequestCountRpcService)ctx.getBean("requestCountRpcService" );  
    String host = getRemoteHost(request); 

    ResponseVoRpc responseVoRpc = new ResponseVoRpc(); 
    if(isLimitIp(host)){ 
        PrintWriter out = null; 
        try { 
            out = response.getWriter(); 
            response.setContentType("application/json;charset=UTF-8");   
            response.setHeader("Cache-Control", "no-cache");   

            responseVoRpc.setCode(ResponseVoRpc.CODE_COMMON_FAILED); 
            responseVoRpc.setCodeMsg("同一ip下单过多，已被限制"); 
            out.write(JSON.toJSONString(responseVoRpc)); 
        } catch (IOException e) { 
            e.printStackTrace(); 
        }finally{ 
            if(out != null) 
                out.close(); 
        } 

        return false; 
    } 

    if(isLimitUser(customerId)){ 
        PrintWriter out = null; 
        try { 
            out = response.getWriter(); 
            response.setContentType("application/json;charset=UTF-8");   
            response.setHeader("Cache-Control", "no-cache");   

            responseVoRpc.setCode(ResponseVoRpc.CODE_COMMON_FAILED); 
            responseVoRpc.setCodeMsg("同一用户下单过多，已被限制"); 
            out.write(JSON.toJSONString(responseVoRpc)); 
        } catch (IOException e) { 
            e.printStackTrace(); 
        }finally{ 
            if(out != null) 
                out.close(); 
        } 
        return false; 
    } 

    requestCountRpcService.ipCount(host, 1); 
    requestCountRpcService.userCount(customerId, 1); 
    return true; 
} 

private boolean isLimitUser(String urseId) { 
    String key = DateFormatUtils.format(new Date(), "yyyyMMdd")+Contents.USER_LIMIT_KEY_SUFFIX; 
    Integer count = requestCountRpcService.get(key, urseId); 
    if(count>=userLimitCount){ 
        return true; 
    } 
    return false; 
} 

private boolean isLimitIp(String host) { 
    String key = DateFormatUtils.format(new Date(), "yyyyMMdd")+Contents.IP_LIMIT_KEY_SUFFIX; 
    Integer count = requestCountRpcService.get(key, host); 
    if(count>=ipLimitCount){ 
        return true; 
    } 
    return false; 
} 

@Override 
public void postHandle(HttpServletRequest request, HttpServletResponse response, Object handler, 
        ModelAndView modelAndView) throws Exception { 
    // TODO Auto-generated method stub 

} 

@Override 
public void afterCompletion(HttpServletRequest request, HttpServletResponse response, Object handler, Exception ex) 
        throws Exception { 
    // TODO Auto-generated method stub 

} 

public Integer getIpLimitCount() { 
    return ipLimitCount; 
} 

public void setIpLimitCount(Integer ipLimitCount) { 
    this.ipLimitCount = ipLimitCount; 
} 

public Integer getUserLimitCount() { 
    return userLimitCount; 
} 

public void setUserLimitCount(Integer userLimitCount) { 
    this.userLimitCount = userLimitCount; 
} 

public Set<String> getMethodSet() { 
    return methodSet; 
} 

public void setMethodSet(Set<String> methodSet) { 
    this.methodSet = methodSet; 
} }

以上便是redis制作计数器的方法，虽然从篇幅上看很复杂，但是示例代码非常详细且容易理解，如果想了解更多相关内容，请关注亿速云行业资讯。

redis制作计数器的方法

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