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="poolConfig" class="redis.clients.jedis.JedisPoolConfig">
<property name="maxTotal" value="${redis.maxTotal}" />
<property name="maxIdle" value="${redis.maxIdle}" />
<property name="maxWaitMillis" value="${redis.maxWaitMillis}" />
<property name="testOnBorrow" value="${redis.testOnBorrow}" />
</bean>

<bean id="connectionFactory"
class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory">
<property name="usePool" value="${redis.usePool}"></property>
<property name="hostName" value="${redis.host}" />
<property name="port" value="${redis.port}" />
<property name="password" value="${redis.password}" />
<property name="timeout" value="${redis.timeout}" />
<constructor-arg index="0" ref="poolConfig" />
</bean>

<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。