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构建Zuul自定义过滤器,限制ip频繁请求 自定义zuul过滤器其实很简单 1. 首先pom文件得先引入zuul依赖 <dependency> <gr
构建Zuul自定义过滤器,限制ip频繁请求
自定义zuul过滤器其实很简单
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-netflix-zuul</artifactId>
</dependency>
import com.netflix.zuul.ZuulFilter;
import com.netflix.zuul.exception.ZuulException;
import org.springframework.stereotype.Component;
@Component
public class MyFilter extends ZuulFilter {
@Override
public String filterType() {
return "pre";
}
@Override
public int filterOrder() {
return 1;
}
@Override
public boolean shouldFilter() {
return true;
}
@Override
public Object run() throws ZuulException {
System.out.println("per zuul filter...");
return null;
}
}
自定义类上需要加上 @Component 注解
a. filterType()方法,定义过滤器的类型,返回的就是字符串,有以下4种类型
b. filterOrder()方法,过滤器执行的顺序
c. shouldFilter()方法,是否开启过滤器,true开启,false不开启
d. run()方法,过滤器的业务实现,在这里写实现逻辑的具体代码
import com.imooc.grace.result.GraceJSONResult;
import com.imooc.grace.result.ResponseStatusEnum;
import com.imooc.utils.IPUtil;
import com.imooc.utils.jsonUtils;
import com.imooc.utils.RedisOperator;
import com.netflix.zuul.ZuulFilter;
import com.netflix.zuul.context.RequestContext;
import com.netflix.zuul.exception.ZuulException;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.Http.MediaType;
import org.springframework.stereotype.Component;
import javax.servlet.http.httpservletRequest;
@Component
public class BlackIpFilter extends ZuulFilter {
private static final int CONTINUE_COUNTS = 10;
private static final int TIME_INTERVAL = 10;
private static final int LIMIT_TIMES = 15;
@Autowired
private RedisOperator redisOperator;
@Override
public String filterType() {
return "pre";
}
@Override
public int filterOrder() {
// 这里设置为2,上面那个过滤器设置为1,则执行顺序为 1->2,大家可以测试一下
return 2;
}
@Override
public boolean shouldFilter() {
return true;
}
@Override
public Object run() throws ZuulException {
// 获取上下文对象
RequestContext currentContext = RequestContext.getCurrentContext();
HttpServletRequest request = currentContext.getRequest();
// 获取ip
String requestIp = IPUtil.getRequestIp(request);
// 判断该ip在10秒内请求次数是否超过10次,超过则限制该ip15秒内不能访问,15秒后再放行
final String ipRedisKey = "zuul-ip:" + requestIp;
final String ipRedisLimiTKEy = "zuul-ip-limit:" + requestIp;
// 获取当前ip这个key的剩余时间
long limitLeftTime = redisOperator.ttl(ipRedisLimitKey);
// 判断该ip是否还有剩余时间
if (limitLeftTime > 0) {
stopRequest(currentContext);
return null;
}
// 在redis中累加ip的请求次数
long requestCounts = redisOperator.increment(ipRedisKey, 1);
if (requestCounts == 1) {
redisOperator.expire(ipRedisKey, TIME_INTERVAL);
}
if (requestCounts > CONTINUE_COUNTS) {
// 限制ip访问
redisOperator.set(ipRedisLimitKey, ipRedisLimitKey, LIMIT_TIMES);
stopRequest(currentContext);
}
return null;
}
private void stopRequest(RequestContext context) {
// 停止zuul继续向下路由,禁止请求通信
context.setSendZuulResponse(false);
// 返回响应码200
context.setResponseStatusCode(200);
// TODO 要返回提示的json内容(可以自定义任何响应内容)
// 例如 {"status":544,"msg":"请求过于频繁,请稍后再试","success":false,"data":null}
String result = "json内容";
// 设置返回内容
context.setResponseBody(result);
// 设置编码
context.getResponse().setCharacterEncoding("utf-8");
// 设置返回内容格式为json
context.getResponse().setContentType(MediaType.APPLICATION_JSON_VALUE);
}
}
这里使用了redis来记录ip请求次数和控制时间间隔
获取ip工具类 IPUtil
import javax.servlet.http.HttpServletRequest;
public class IPUtil {
public static String getRequestIp(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.getHeader("HTTP_CLIENT_IP");
}
if (ip == null || ip.length() == 0 || "unknown".equalsIgnoreCase(ip)) {
ip = request.getHeader("HTTP_X_FORWARDED_FOR");
}
if (ip == null || ip.length() == 0 || "unknown".equalsIgnoreCase(ip)) {
ip = request.getRemoteAddr();
}
return ip;
}
}
到此这篇关于spring cloud Zuul自定义过滤器的实现的文章就介绍到这了,更多相关Spring Cloud Zuul过滤器内容请搜索编程网以前的文章或继续浏览下面的相关文章希望大家以后多多支持编程网!
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