Java后端限制频繁请求和重复提交的实现
短信预约 -IT技能 免费直播动态提醒
当前端按连续请求多次,请求过于频繁或者是多次重复提交数据,对系统或者是数据造成了一点的损害。
为了解决这个问题,下面介绍了一种简易的解决方法:
步骤一、写限制注解
import java.lang.annotation.ElementType;
import java.lang.annotation.Retention;
import java.lang.annotation.RetentionPolicy;
import java.lang.annotation.Target;
@Target(ElementType.METHOD) // 作用到方法上
@Retention(RetentionPolicy.RUNTIME) // 运行时有效
public @interface NoRepeatSubmit {
String name() default "name:";
}
步骤二、解析注解
import javax.servlet.http.HttpServletRequest;
import com.hieasy.comm.core.domain.R;
import com.hieasy.comm.redis.service.RedisService;
import com.hieasy.system.util.TermUtil;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.aspectj.lang.ProceedingJoinPoint;
import org.aspectj.lang.annotation.Around;
import org.aspectj.lang.annotation.Aspect;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;
import org.springframework.web.context.request.RequestContextHolder;
import org.springframework.web.context.request.ServletRequestAttributes;
import java.util.concurrent.TimeUnit;
@Aspect
@Component
public class NoRepeatSubmitAop {
private Log logger = LogFactory.getLog(getClass());
@Autowired
private RedisService redisService;
@Around("execution(* com.hieasy.*.controller.*.*Ctrl.*(..)) && @annotation(nrs)")
public Object arround(ProceedingJoinPoint pjp, NoRepeatSubmit nrs) throws Throwable {
ServletRequestAttributes attributes = (ServletRequestAttributes) RequestContextHolder.getRequestAttributes();
HttpServletRequest request = attributes.getRequest();
String key = TermUtil.getUserId() + "-" + request.getServletPath();
if ( !redisService.haskey(key) ) {// 如果缓存中有这个url视为重复提交
Object o = pjp.proceed();
redisService.setCacheObject(key, 0, 15, TimeUnit.SECONDS);
return o;
} else {
redisService.setCacheObject(key, 0, 15, TimeUnit.SECONDS);//点了同样的URL继续限制,直到2次点击中间间隔超过了限制
return R.error("请勿重复提交或者操作过于频繁!");
}
}
}
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.*;
import org.springframework.stereotype.Component;
import java.util.*;
import java.util.concurrent.TimeUnit;
@Component
@SuppressWarnings(value = {"unchecked", "rawtypes"})
public class RedisService {
@Autowired
public RedisTemplate redisTemplate;
public <T> ValueOperations<String, T> setCacheObject(String key, T value) {
ValueOperations<String, T> operation = redisTemplate.opsForValue();
operation.set(key, value);
return operation;
}
public <T> ValueOperations<String, T> setCacheObject(String key, T value, Integer timeout, TimeUnit timeUnit) {
ValueOperations<String, T> operation = redisTemplate.opsForValue();
operation.set(key, value, timeout, timeUnit);
return operation;
}
public <T> T getCacheObject(String key) {
ValueOperations<String, T> operation = redisTemplate.opsForValue();
return operation.get(key);
}
public void deleteObject(String key) {
redisTemplate.delete(key);
}
public void deleteObject(Collection collection) {
redisTemplate.delete(collection);
}
public <T> ListOperations<String, T> setCacheList(String key, List<T> dataList) {
ListOperations listOperation = redisTemplate.opsForList();
if (null != dataList) {
int size = dataList.size();
for (int i = 0; i < size; i++) {
listOperation.leftPush(key, dataList.get(i));
}
}
return listOperation;
}
public <T> List<T> getCacheList(String key) {
List<T> dataList = new ArrayList<T>();
ListOperations<String, T> listOperation = redisTemplate.opsForList();
Long size = listOperation.size(key);
for (int i = 0; i < size; i++) {
dataList.add(listOperation.index(key, i));
}
return dataList;
}
public <T> BoundSetOperations<String, T> setCacheSet(String key, Set<T> dataSet) {
BoundSetOperations<String, T> setOperation = redisTemplate.boundSetOps(key);
Iterator<T> it = dataSet.iterator();
while (it.hasNext()) {
setOperation.add(it.next());
}
return setOperation;
}
public <T> Set<T> getCacheSet(String key) {
Set<T> dataSet = new HashSet<T>();
BoundSetOperations<String, T> operation = redisTemplate.boundSetOps(key);
dataSet = operation.members();
return dataSet;
}
public <T> HashOperations<String, String, T> setCacheMap(String key, Map<String, T> dataMap) {
HashOperations hashOperations = redisTemplate.opsForHash();
if (null != dataMap) {
for (Map.Entry<String, T> entry : dataMap.entrySet()) {
hashOperations.put(key, entry.getKey(), entry.getValue());
}
}
return hashOperations;
}
public <T> Map<String, T> getCacheMap(String key) {
Map<String, T> map = redisTemplate.opsForHash().entries(key);
return map;
}
public Collection<String> keys(String pattern) {
return redisTemplate.keys(pattern);
}
public boolean haskey(String key){
return redisTemplate.hasKey(key);
}
public Long getExpire(String key){
return redisTemplate.getExpire(key);
}
public <T> ValueOperations<String, T> setBillObject(String key, List<Map<String, Object>> value) {
ValueOperations<String, T> operation = redisTemplate.opsForValue();
operation.set(key, (T) value);
return operation;
}
public <T> ValueOperations<String, T> setBillObject(String key, List<Map<String, Object>> value, Integer timeout, TimeUnit timeUnit) {
ValueOperations<String, T> operation = redisTemplate.opsForValue();
operation.set(key,(T)value, timeout, timeUnit);
return operation;
}
public <T> HashOperations<String, String, T> setCKdBillMap(String key, Map<String, T> dataMap) {
HashOperations hashOperations = redisTemplate.opsForHash();
if (null != dataMap) {
for (Map.Entry<String, T> entry : dataMap.entrySet()) {
hashOperations.put(key, entry.getKey(), entry.getValue());
}
}
return hashOperations;
}
}
步骤三、控制层注解使用
@NoRepeatSubmit
@PostMapping("insert")
@OperLog(title = "仓库调整", businessType = BusinessType.INSERT)
@ApiOperation(value = "新增仓库调整单", notes = "")
public R insert(@RequestBody Cktzd cktzd) {
System.out.println(JSON.toJSONString(cktzd));
return R.error("测试阶段!");
}
测试结果:
第一次提交
在不间隔15就继续点
不间断的点,只要2次点击之间没有超过15秒,都会抛出请勿重复请求。直到2次点击之间间隔足够才能正常请求!
到此这篇关于Java后端限制频繁请求和重复提交的实现的文章就介绍到这了,更多相关Java后端限制频繁请求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!
免责声明:
① 本站未注明“稿件来源”的信息均来自网络整理。其文字、图片和音视频稿件的所属权归原作者所有。本站收集整理出于非商业性的教育和科研之目的,并不意味着本站赞同其观点或证实其内容的真实性。仅作为临时的测试数据,供内部测试之用。本站并未授权任何人以任何方式主动获取本站任何信息。
② 本站未注明“稿件来源”的临时测试数据将在测试完成后最终做删除处理。有问题或投稿请发送至: 邮箱/279061341@qq.com QQ/279061341