实现思路:将请求的json数据,去除一些可变字段,将key升序排序,拼接成字符串并进行md5加密,再拼接一些用户信息,这样相同的请求参数得到的加密串必然一致,将此字符串作为key,存入redis,设置过期时间为1秒,一般重复提交都是在1000ms以内;
代码部分

 

import com.alibaba.fastjson.JSONObject;
import com.wang.learn.cloudredis.entity.Book;
import com.wang.learn.cloudredis.utils.ReqDedupHelper;
import org.springframework.data.redis.connection.RedisStringCommands;
import org.springframework.data.redis.core.RedisCallback;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.types.Expiration;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;

import javax.annotation.Resource;
import javax.validation.Valid;

/**
* ClassName RedisController
* Description
*

*/
@RestController
@RequestMapping("/redis")
public class RedisController {


@Resource
private RedisTemplate<String, Object> stringRedisTemplate;

@RequestMapping("/repeat")
public Object repeat(@RequestBody @Valid Book book){
//用户
String userId= "12345678";
//接口名
String method = "pay";
//计算请求参数摘要,其中剔除里面请求时间的干扰
String dedupMD5 = ReqDedupHelper.dedupParamMD5(JSONObject.toJSONString(book),"time");
String KEY = "dedup:U=" + userId + "M=" + method + "P=" + dedupMD5;
// 1000毫秒过期,1000ms内的重复请求会认为重复
long expireTime = 1000;
long expireAt = System.currentTimeMillis() + expireTime;

String val = "expireAt@" + expireAt;
// NOTE:直接SETNX不支持带过期时间,所以设置+过期不是原子操作,极端情况下可能设置了就不过期了,后面相同请求可能会误以为需要去重,所以这里使用底层API,保证SETNX+过期时间是原子操作
Boolean firstSet = stringRedisTemplate.execute(
(RedisCallback<Boolean>) connection -> connection.set(KEY.getBytes(), val.getBytes(), Expiration.milliseconds(expireTime),
RedisStringCommands.SetOption.SET_IF_ABSENT));

final boolean isConsiderDup;
if (firstSet != null && firstSet) {
return book;
} else {
return "订单重复!";
}
}

}






import com.alibaba.fastjson.JSON;
import com.wang.learn.cloudredis.entity.Book;
import lombok.extern.slf4j.Slf4j;

import javax.xml.bind.DatatypeConverter;
import java.security.MessageDigest;
import java.util.Arrays;
import java.util.List;
import java.util.TreeMap;


@Slf4j
public class ReqDedupHelper {

/**
*
* @param reqJSON 请求的参数,这里通常是JSON
* @param excludeKeys 请求参数里面要去除哪些字段再求摘要(如时间戳字段)
* @return 去除参数的MD5摘要
*/
public static String dedupParamMD5(final String reqJSON, String... excludeKeys) {
String decreptParam = reqJSON;

TreeMap paramTreeMap = JSON.parseObject(decreptParam, TreeMap.class);
if (excludeKeys!=null) {
List<String> dedupExcludeKeys = Arrays.asList(excludeKeys);
if (!dedupExcludeKeys.isEmpty()) {
for (String dedupExcludeKey : dedupExcludeKeys) {
if(paramTreeMap.containsKey(dedupExcludeKey)){
paramTreeMap.remove(dedupExcludeKey);
}
}
}
}

String paramTreeMapJSON = JSON.toJSONString(paramTreeMap);
String md5deDupParam = jdkMD5(paramTreeMapJSON);
log.debug("md5deDupParam = {}, excludeKeys = {} {}", md5deDupParam, Arrays.deepToString(excludeKeys), paramTreeMapJSON);
return md5deDupParam;
}

private static String jdkMD5(String src) {
String res = null;
try {
MessageDigest messageDigest = MessageDigest.getInstance("MD5");
byte[] mdBytes = messageDigest.digest(src.getBytes());
res = DatatypeConverter.printHexBinary(mdBytes);
} catch (Exception e) {
log.error("",e);
}
return res;
}

public static void main(String[] args) {
Book book = new Book();
book.setId(1);
book.setCount(2);
book.setName("java编程思想");
book.setTime(System.currentTimeMillis());

String key = dedupParamMD5(JSON.toJSONString(book), "time", "456");
System.out.println(key);


}

}