本文主要是介绍Java表单重复提交问题，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！
采用redis，切面编程，自定义注解，对获取ip和uri作为key，时间戳作为value
每次访问接口，若是该key存在，则进行限制，若是存在，则判断现在距离上次提交时间小于设置的默认时间 则 判断为重复提交 否则 正常提交 -> 进入业务处理
0.背景
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用户连续点击提交按钮：用户在网络慢或者服务器处理慢的情况下，可能会不耐烦地多次点击提交按钮。
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浏览器刷新或后退：用户在提交表单后，可能会点击浏览器的刷新或后退按钮。此时，浏览器可能会重新提交表单数据。
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网络中断或延迟：在数据提交过程中，如果网络连接中断或者延迟，浏览器可能会尝试重新发送请求，导致数据被重复提交。
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页面跳转：比如在页面A提交表单成功后，跳转到页面B，然后用户再点击后退按钮返回到A页面，如果此时用户刷新页面A，那么表单会被重新提交。
1.创建自定义注解
/*** <p> 注解：校验表单重复提交 </p>* @description :*/
// 作用到方法上
@Target(ElementType.METHOD)
// 运行时有效
@Retention(RetentionPolicy.RUNTIME)
public @interface NoRepeatSubmit {/*** 默认时间3秒*/int time() default 3 * 1000;
}
2.创建切面
@Slf4j
@Aspect
@Component
public class NoRepeatSubmitAop {@AutowiredRedisUtil redisUtil;/*** <p> 【环绕通知】 用于拦截指定方法，判断用户表单保存操作是否属于重复提交 <p>** 定义切入点表达式： execution(public * (…))* 表达式解释： execution：主体 public:可省略 *：标识方法的任意返回值 任意包+类+方法(…) 任意参数** com.zhengqing.demo.modules.*.api ： 标识AOP所切服务的包名，即需要进行横切的业务类* .*Controller ： 标识类名，*即所有类* .*(..) ： 标识任何方法名，括号表示参数，两个点表示任何参数类型** @param pjp：切入点对象* @param noRepeatSubmit:自定义的注解对象* @return: java.lang.Object*/@Around("execution(* com.example.modules.*.api.*Controller.*(..)) && @annotation(noRepeatSubmit)")public Object doAround(ProceedingJoinPoint pjp, NoRepeatSubmit noRepeatSubmit) {try {HttpServletRequest request = ((ServletRequestAttributes) Objects.requireNonNull(RequestContextHolder.getRequestAttributes())).getRequest();// 拿到ip地址、请求路径、tokenString ip = IpUtils.getIpAdrress(request);String url = request.getRequestURL().toString();String uri = request.getRequestURI();String token = request.getHeader(Constants.REQUEST_HEADERS_TOKEN);// 现在时间long now = System.currentTimeMillis();// 自定义key值方式String key = "REQUEST_FORM_" + ip+":"+uri;if (redisUtil.hasKey(key)) {// 上次表单提交时间long lastTime = Long.parseLong(redisUtil.get(key));// 如果现在距离上次提交时间小于设置的默认时间 则 判断为重复提交 否则 正常提交 -> 进入业务处理if ((now - lastTime) > noRepeatSubmit.time()) {// 非重复提交操作 - 重新记录操作时间redisUtil.set(key, String.valueOf(now));// 进入处理业务ApiResult result = (ApiResult) pjp.proceed();return result;} else {return ApiResult.fail("请勿重复提交!");}} else {// 这里是第一次操作redisUtil.set(key, String.valueOf(now));ApiResult result = (ApiResult) pjp.proceed();return result;}} catch (Throwable e) {log.error("校验表单重复提交时异常: {}", e.getMessage());return ApiResult.fail("校验表单重复提交时异常!");}}}
3.需要限制的Controller
@RestController
public class IndexController extends BaseController {@NoRepeatSubmit@GetMapping(value = "/index", produces = "application/json;charset=utf-8")public ApiResult index() {return ApiResult.ok("Hello World ~ ");}@NoRepeatSubmit@GetMapping(value = "/index1", produces = "application/json;charset=utf-8")public ApiResult index1() {return ApiResult.ok("Hello World ~ ");}}4.其它工具类
4.1Redis工具类
package com.example.utils;import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.connection.DataType;
import org.springframework.data.redis.core.Cursor;
import org.springframework.data.redis.core.ScanOptions;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.data.redis.core.ZSetOperations.TypedTuple;
import org.springframework.stereotype.Component;import java.util.*;
import java.util.Map.Entry;
import java.util.concurrent.TimeUnit;/*** <p> Redis工具类 </p>**/
@Component
public class RedisUtil {@Autowiredprivate StringRedisTemplate redisTemplate;public void setRedisTemplate(StringRedisTemplate redisTemplate) {this.redisTemplate = redisTemplate;}public StringRedisTemplate getRedisTemplate() {return this.redisTemplate;}/** -------------------key相关操作--------------------- *//*** 删除key** @param key*/public void delete(String key) {redisTemplate.delete(key);}/*** 批量删除key** @param keys*/public void delete(Collection<String> keys) {redisTemplate.delete(keys);}/*** 序列化key** @param key* @return*/public byte[] dump(String key) {return redisTemplate.dump(key);}/*** 是否存在key** @param key* @return*/public Boolean hasKey(String key) {return redisTemplate.hasKey(key);}/*** 设置过期时间** @param key* @param timeout* @param unit* @return*/public Boolean expire(String key, long timeout, TimeUnit unit) {return redisTemplate.expire(key, timeout, unit);}/*** 设置过期时间** @param key* @param date* @return*/public Boolean expireAt(String key, Date date) {return redisTemplate.expireAt(key, date);}/*** 查找匹配的key** @param pattern* @return*/public Set<String> keys(String pattern) {return redisTemplate.keys(pattern);}/*** 将当前数据库的 key 移动到给定的数据库 db 当中** @param key* @param dbIndex* @return*/public Boolean move(String key, int dbIndex) {return redisTemplate.move(key, dbIndex);}/*** 移除 key 的过期时间，key 将持久保持** @param key* @return*/public Boolean persist(String key) {return redisTemplate.persist(key);}/*** 返回 key 的剩余的过期时间** @param key* @param unit* @return*/public Long getExpire(String key, TimeUnit unit) {return redisTemplate.getExpire(key, unit);}/*** 返回 key 的剩余的过期时间** @param key* @return*/public Long getExpire(String key) {return redisTemplate.getExpire(key);}/*** 从当前数据库中随机返回一个 key** @return*/public String randomKey() {return redisTemplate.randomKey();}/*** 修改 key 的名称** @param oldKey* @param newKey*/public void rename(String oldKey, String newKey) {redisTemplate.rename(oldKey, newKey);}/*** 仅当 newkey 不存在时，将 oldKey 改名为 newkey** @param oldKey* @param newKey* @return*/public Boolean renameIfAbsent(String oldKey, String newKey) {return redisTemplate.renameIfAbsent(oldKey, newKey);}/*** 返回 key 所储存的值的类型** @param key* @return*/public DataType type(String key) {return redisTemplate.type(key);}/** -------------------string相关操作--------------------- *//*** 设置指定 key 的值** @param key* @param value*/public void set(String key, String value) {redisTemplate.opsForValue().set(key, value);}/*** 获取指定 key 的值** @param key* @return*/public String get(String key) {return redisTemplate.opsForValue().get(key);}/*** 返回 key 中字符串值的子字符** @param key* @param start* @param end* @return*/public String getRange(String key, long start, long end) {return redisTemplate.opsForValue().get(key, start, end);}/*** 将给定 key 的值设为 value ，并返回 key 的旧值(old value)** @param key* @param value* @return*/public String getAndSet(String key, String value) {return redisTemplate.opsForValue().getAndSet(key, value);}/*** 对 key 所储存的字符串值，获取指定偏移量上的位(bit)** @param key* @param offset* @return*/public Boolean getBit(String key, long offset) {return redisTemplate.opsForValue().getBit(key, offset);}/*** 批量获取** @param keys* @return*/public List<String> multiGet(Collection<String> keys) {return redisTemplate.opsForValue().multiGet(keys);}/*** 设置ASCII码, 字符串'a'的ASCII码是97, 转为二进制是'01100001', 此方法是将二进制第offset位值变为value** @param key* @param postion 位置* @param value 值,true为1, false为0* @return*/public boolean setBit(String key, long offset, boolean value) {return redisTemplate.opsForValue().setBit(key, offset, value);}/*** 将值 value 关联到 key ，并将 key 的过期时间设为 timeout** @param key* @param value* @param timeout 过期时间* @param unit 时间单位, 天:TimeUnit.DAYS 小时:TimeUnit.HOURS 分钟:TimeUnit.MINUTES* 秒:TimeUnit.SECONDS 毫秒:TimeUnit.MILLISECONDS*/public void setEx(String key, String value, long timeout, TimeUnit unit) {redisTemplate.opsForValue().set(key, value, timeout, unit);}/*** 只有在 key 不存在时设置 key 的值** @param key* @param value* @return 之前已经存在返回false, 不存在返回true*/public boolean setIfAbsent(String key, String value) {return redisTemplate.opsForValue().setIfAbsent(key, value);}/*** 用 value 参数覆写给定 key 所储存的字符串值，从偏移量 offset 开始** @param key* @param value* @param offset 从指定位置开始覆写*/public void setRange(String key, String value, long offset) {redisTemplate.opsForValue().set(key, value, offset);}/*** 获取字符串的长度** @param key* @return*/public Long size(String key) {return redisTemplate.opsForValue().size(key);}/*** 批量添加** @param maps*/public void multiSet(Map<String, String> maps) {redisTemplate.opsForValue().multiSet(maps);}/*** 同时设置一个或多个 key-value 对，当且仅当所有给定 key 都不存在** @param maps* @return 之前已经存在返回false, 不存在返回true*/public boolean multiSetIfAbsent(Map<String, String> maps) {return redisTemplate.opsForValue().multiSetIfAbsent(maps);}/*** 增加(自增长), 负数则为自减** @param key* @param value* @return*/public Long incrBy(String key, long increment) {return redisTemplate.opsForValue().increment(key, increment);}/*** @param key* @param value* @return*/public Double incrByFloat(String key, double increment) {return redisTemplate.opsForValue().increment(key, increment);}/*** 追加到末尾** @param key* @param value* @return*/public Integer append(String key, String value) {return redisTemplate.opsForValue().append(key, value);}/** -------------------hash相关操作------------------------- *//*** 获取存储在哈希表中指定字段的值** @param key* @param field* @return*/public Object hGet(String key, String field) {return redisTemplate.opsForHash().get(key, field);}/*** 获取所有给定字段的值** @param key* @return*/public Map<Object, Object> hGetAll(String key) {return redisTemplate.opsForHash().entries(key);}/*** 获取所有给定字段的值** @param key* @param fields* @return*/public List<Object> hMultiGet(String key, Collection<Object> fields) {return redisTemplate.opsForHash().multiGet(key, fields);}public void hPut(String key, String hashKey, String value) {redisTemplate.opsForHash().put(key, hashKey, value);}public void hPutAll(String key, Map<String, String> maps) {redisTemplate.opsForHash().putAll(key, maps);}/*** 仅当hashKey不存在时才设置** @param key* @param hashKey* @param value* @return*/public Boolean hPutIfAbsent(String key, String hashKey, String value) {return redisTemplate.opsForHash().putIfAbsent(key, hashKey, value);}/*** 删除一个或多个哈希表字段** @param key* @param fields* @return*/public Long hDelete(String key, Object... fields) {return redisTemplate.opsForHash().delete(key, fields);}/*** 查看哈希表 key 中，指定的字段是否存在** @param key* @param field* @return*/public boolean hExists(String key, String field) {return redisTemplate.opsForHash().hasKey(key, field);}/*** 为哈希表 key 中的指定字段的整数值加上增量 increment** @param key* @param field* @param increment* @return*/public Long hIncrBy(String key, Object field, long increment) {return redisTemplate.opsForHash().increment(key, field, increment);}/*** 为哈希表 key 中的指定字段的整数值加上增量 increment** @param key* @param field* @param delta* @return*/public Double hIncrByFloat(String key, Object field, double delta) {return redisTemplate.opsForHash().increment(key, field, delta);}/*** 获取所有哈希表中的字段** @param key* @return*/public Set<Object> hKeys(String key) {return redisTemplate.opsForHash().keys(key);}/*** 获取哈希表中字段的数量** @param key* @return*/public Long hSize(String key) {return redisTemplate.opsForHash().size(key);}/*** 获取哈希表中所有值** @param key* @return*/public List<Object> hValues(String key) {return redisTemplate.opsForHash().values(key);}/*** 迭代哈希表中的键值对** @param key* @param options* @return*/public Cursor<Entry<Object, Object>> hScan(String key, ScanOptions options) {return redisTemplate.opsForHash().scan(key, options);}/** ------------------------list相关操作---------------------------- *//*** 通过索引获取列表中的元素** @param key* @param index* @return*/public String lIndex(String key, long index) {return redisTemplate.opsForList().index(key, index);}/*** 获取列表指定范围内的元素** @param key* @param start 开始位置, 0是开始位置* @param end 结束位置, -1返回所有* @return*/public List<String> lRange(String key, long start, long end) {return redisTemplate.opsForList().range(key, start, end);}/*** 存储在list头部** @param key* @param value* @return*/public Long lLeftPush(String key, String value) {return redisTemplate.opsForList().leftPush(key, value);}/*** @param key* @param value* @return*/public Long lLeftPushAll(String key, String... value) {return redisTemplate.opsForList().leftPushAll(key, value);}/*** @param key* @param value* @return*/public Long lLeftPushAll(String key, Collection<String> value) {return redisTemplate.opsForList().leftPushAll(key, value);}/*** 当list存在的时候才加入** @param key* @param value* @return*/public Long lLeftPushIfPresent(String key, String value) {return redisTemplate.opsForList().leftPushIfPresent(key, value);}/*** 如果pivot存在,再pivot前面添加** @param key* @param pivot* @param value* @return*/public Long lLeftPush(String key, String pivot, String value) {return redisTemplate.opsForList().leftPush(key, pivot, value);}/*** @param key* @param value* @return*/public Long lRightPush(String key, String value) {return redisTemplate.opsForList().rightPush(key, value);}/*** @param key* @param value* @return*/public Long lRightPushAll(String key, String... value) {return redisTemplate.opsForList().rightPushAll(key, value);}/*** @param key* @param value* @return*/public Long lRightPushAll(String key, Collection<String> value) {return redisTemplate.opsForList().rightPushAll(key, value);}/*** 为已存在的列表添加值** @param key* @param value* @return*/public Long lRightPushIfPresent(String key, String value) {return redisTemplate.opsForList().rightPushIfPresent(key, value);}/*** 在pivot元素的右边添加值** @param key* @param pivot* @param value* @return*/public Long lRightPush(String key, String pivot, String value) {return redisTemplate.opsForList().rightPush(key, pivot, value);}/*** 通过索引设置列表元素的值** @param key* @param index 位置* @param value*/public void lSet(String key, long index, String value) {redisTemplate.opsForList().set(key, index, value);}/*** 移出并获取列表的第一个元素** @param key* @return 删除的元素*/public String lLeftPop(String key) {return redisTemplate.opsForList().leftPop(key);}/*** 移出并获取列表的第一个元素， 如果列表没有元素会阻塞列表直到等待超时或发现可弹出元素为止** @param key* @param timeout 等待时间* @param unit 时间单位* @return*/public String lBLeftPop(String key, long timeout, TimeUnit unit) {return redisTemplate.opsForList().leftPop(key, timeout, unit);}/*** 移除并获取列表最后一个元素** @param key* @return 删除的元素*/public String lRightPop(String key) {return redisTemplate.opsForList().rightPop(key);}/*** 移出并获取列表的最后一个元素， 如果列表没有元素会阻塞列表直到等待超时或发现可弹出元素为止** @param key* @param timeout 等待时间* @param unit 时间单位* @return*/public String lBRightPop(String key, long timeout, TimeUnit unit) {return redisTemplate.opsForList().rightPop(key, timeout, unit);}/*** 移除列表的最后一个元素，并将该元素添加到另一个列表并返回** @param sourceKey* @param destinationKey* @return*/public String lRightPopAndLeftPush(String sourceKey, String destinationKey) {return redisTemplate.opsForList().rightPopAndLeftPush(sourceKey,destinationKey);}/*** 从列表中弹出一个值，将弹出的元素插入到另外一个列表中并返回它； 如果列表没有元素会阻塞列表直到等待超时或发现可弹出元素为止** @param sourceKey* @param destinationKey* @param timeout* @param unit* @return*/public String lBRightPopAndLeftPush(String sourceKey, String destinationKey,long timeout, TimeUnit unit) {return redisTemplate.opsForList().rightPopAndLeftPush(sourceKey,destinationKey, timeout, unit);}/*** 删除集合中值等于value得元素** @param key* @param index index=0, 删除所有值等于value的元素; index>0, 从头部开始删除第一个值等于value的元素;* index<0, 从尾部开始删除第一个值等于value的元素;* @param value* @return*/public Long lRemove(String key, long index, String value) {return redisTemplate.opsForList().remove(key, index, value);}/*** 裁剪list** @param key* @param start* @param end*/public void lTrim(String key, long start, long end) {redisTemplate.opsForList().trim(key, start, end);}/*** 获取列表长度** @param key* @return*/public Long lLen(String key) {return redisTemplate.opsForList().size(key);}/** --------------------set相关操作-------------------------- *//*** set添加元素** @param key* @param values* @return*/public Long sAdd(String key, String... values) {return redisTemplate.opsForSet().add(key, values);}/*** set移除元素** @param key* @param values* @return*/public Long sRemove(String key, Object... values) {return redisTemplate.opsForSet().remove(key, values);}/*** 移除并返回集合的一个随机元素** @param key* @return*/public String sPop(String key) {return redisTemplate.opsForSet().pop(key);}/*** 将元素value从一个集合移到另一个集合** @param key* @param value* @param destKey* @return*/public Boolean sMove(String key, String value, String destKey) {return redisTemplate.opsForSet().move(key, value, destKey);}/*** 获取集合的大小** @param key* @return*/public Long sSize(String key) {return redisTemplate.opsForSet().size(key);}/*** 判断集合是否包含value** @param key* @param value* @return*/public Boolean sIsMember(String key, Object value) {return redisTemplate.opsForSet().isMember(key, value);}/*** 获取两个集合的交集** @param key* @param otherKey* @return*/public Set<String> sIntersect(String key, String otherKey) {return redisTemplate.opsForSet().intersect(key, otherKey);}/*** 获取key集合与多个集合的交集** @param key* @param otherKeys* @return*/public Set<String> sIntersect(String key, Collection<String> otherKeys) {return redisTemplate.opsForSet().intersect(key, otherKeys);}/*** key集合与otherKey集合的交集存储到destKey集合中** @param key* @param otherKey* @param destKey* @return*/public Long sIntersectAndStore(String key, String otherKey, String destKey) {return redisTemplate.opsForSet().intersectAndStore(key, otherKey,destKey);}/*** key集合与多个集合的交集存储到destKey集合中** @param key* @param otherKeys* @param destKey* @return*/public Long sIntersectAndStore(String key, Collection<String> otherKeys,String destKey) {return redisTemplate.opsForSet().intersectAndStore(key, otherKeys,destKey);}/*** 获取两个集合的并集** @param key* @param otherKeys* @return*/public Set<String> sUnion(String key, String otherKeys) {return redisTemplate.opsForSet().union(key, otherKeys);}/*** 获取key集合与多个集合的并集** @param key* @param otherKeys* @return*/public Set<String> sUnion(String key, Collection<String> otherKeys) {return redisTemplate.opsForSet().union(key, otherKeys);}/*** key集合与otherKey集合的并集存储到destKey中** @param key* @param otherKey* @param destKey* @return*/public Long sUnionAndStore(String key, String otherKey, String destKey) {return redisTemplate.opsForSet().unionAndStore(key, otherKey, destKey);}/*** key集合与多个集合的并集存储到destKey中** @param key* @param otherKeys* @param destKey* @return*/public Long sUnionAndStore(String key, Collection<String> otherKeys,String destKey) {return redisTemplate.opsForSet().unionAndStore(key, otherKeys, destKey);}/*** 获取两个集合的差集** @param key* @param otherKey* @return*/public Set<String> sDifference(String key, String otherKey) {return redisTemplate.opsForSet().difference(key, otherKey);}/*** 获取key集合与多个集合的差集** @param key* @param otherKeys* @return*/public Set<String> sDifference(String key, Collection<String> otherKeys) {return redisTemplate.opsForSet().difference(key, otherKeys);}/*** key集合与otherKey集合的差集存储到destKey中** @param key* @param otherKey* @param destKey* @return*/public Long sDifference(String key, String otherKey, String destKey) {return redisTemplate.opsForSet().differenceAndStore(key, otherKey,destKey);}/*** key集合与多个集合的差集存储到destKey中** @param key* @param otherKeys* @param destKey* @return*/public Long sDifference(String key, Collection<String> otherKeys,String destKey) {return redisTemplate.opsForSet().differenceAndStore(key, otherKeys,destKey);}/*** 获取集合所有元素** @param key* @param otherKeys* @param destKey* @return*/public Set<String> setMembers(String key) {return redisTemplate.opsForSet().members(key);}/*** 随机获取集合中的一个元素** @param key* @return*/public String sRandomMember(String key) {return redisTemplate.opsForSet().randomMember(key);}/*** 随机获取集合中count个元素** @param key* @param count* @return*/public List<String> sRandomMembers(String key, long count) {return redisTemplate.opsForSet().randomMembers(key, count);}/*** 随机获取集合中count个元素并且去除重复的** @param key* @param count* @return*/public Set<String> sDistinctRandomMembers(String key, long count) {return redisTemplate.opsForSet().distinctRandomMembers(key, count);}/*** @param key* @param options* @return*/public Cursor<String> sScan(String key, ScanOptions options) {return redisTemplate.opsForSet().scan(key, options);}/**------------------zSet相关操作--------------------------------*//*** 添加元素,有序集合是按照元素的score值由小到大排列** @param key* @param value* @param score* @return*/public Boolean zAdd(String key, String value, double score) {return redisTemplate.opsForZSet().add(key, value, score);}/*** @param key* @param values* @return*/public Long zAdd(String key, Set<TypedTuple<String>> values) {return redisTemplate.opsForZSet().add(key, values);}/*** @param key* @param values* @return*/public Long zRemove(String key, Object... values) {return redisTemplate.opsForZSet().remove(key, values);}/*** 增加元素的score值，并返回增加后的值** @param key* @param value* @param delta* @return*/public Double zIncrementScore(String key, String value, double delta) {return redisTemplate.opsForZSet().incrementScore(key, value, delta);}/*** 返回元素在集合的排名,有序集合是按照元素的score值由小到大排列** @param key* @param value* @return 0表示第一位*/public Long zRank(String key, Object value) {return redisTemplate.opsForZSet().rank(key, value);}/*** 返回元素在集合的排名,按元素的score值由大到小排列** @param key* @param value* @return*/public Long zReverseRank(String key, Object value) {return redisTemplate.opsForZSet().reverseRank(key, value);}/*** 获取集合的元素, 从小到大排序** @param key* @param start 开始位置* @param end 结束位置, -1查询所有* @return*/public Set<String> zRange(String key, long start, long end) {return redisTemplate.opsForZSet().range(key, start, end);}/*** 获取集合元素, 并且把score值也获取** @param key* @param start* @param end* @return*/public Set<TypedTuple<String>> zRangeWithScores(String key, long start,long end) {return redisTemplate.opsForZSet().rangeWithScores(key, start, end);}/*** 根据Score值查询集合元素** @param key* @param min 最小值* @param max 最大值* @return*/public Set<String> zRangeByScore(String key, double min, double max) {return redisTemplate.opsForZSet().rangeByScore(key, min, max);}/*** 根据Score值查询集合元素, 从小到大排序** @param key* @param min 最小值* @param max 最大值* @return*/public Set<TypedTuple<String>> zRangeByScoreWithScores(String key,double min, double max) {return redisTemplate.opsForZSet().rangeByScoreWithScores(key, min, max);}/*** @param key* @param min* @param max* @param start* @param end* @return*/public Set<TypedTuple<String>> zRangeByScoreWithScores(String key,double min, double max, long start, long end) {return redisTemplate.opsForZSet().rangeByScoreWithScores(key, min, max,start, end);}/*** 获取集合的元素, 从大到小排序** @param key* @param start* @param end* @return*/public Set<String> zReverseRange(String key, long start, long end) {return redisTemplate.opsForZSet().reverseRange(key, start, end);}/*** 获取集合的元素, 从大到小排序, 并返回score值** @param key* @param start* @param end* @return*/public Set<TypedTuple<String>> zReverseRangeWithScores(String key,long start, long end) {return redisTemplate.opsForZSet().reverseRangeWithScores(key, start,end);}/*** 根据Score值查询集合元素, 从大到小排序** @param key* @param min* @param max* @return*/public Set<String> zReverseRangeByScore(String key, double min,double max) {return redisTemplate.opsForZSet().reverseRangeByScore(key, min, max);}/*** 根据Score值查询集合元素, 从大到小排序** @param key* @param min* @param max* @return*/public Set<TypedTuple<String>> zReverseRangeByScoreWithScores(String key, double min, double max) {return redisTemplate.opsForZSet().reverseRangeByScoreWithScores(key,min, max);}/*** @param key* @param min* @param max* @param start* @param end* @return*/public Set<String> zReverseRangeByScore(String key, double min,double max, long start, long end) {return redisTemplate.opsForZSet().reverseRangeByScore(key, min, max,start, end);}/*** 根据score值获取集合元素数量** @param key* @param min* @param max* @return*/public Long zCount(String key, double min, double max) {return redisTemplate.opsForZSet().count(key, min, max);}/*** 获取集合大小** @param key* @return*/public Long zSize(String key) {return redisTemplate.opsForZSet().size(key);}/*** 获取集合大小** @param key* @return*/public Long zZCard(String key) {return redisTemplate.opsForZSet().zCard(key);}/*** 获取集合中value元素的score值** @param key* @param value* @return*/public Double zScore(String key, Object value) {return redisTemplate.opsForZSet().score(key, value);}/*** 移除指定索引位置的成员** @param key* @param start* @param end* @return*/public Long zRemoveRange(String key, long start, long end) {return redisTemplate.opsForZSet().removeRange(key, start, end);}/*** 根据指定的score值的范围来移除成员** @param key* @param min* @param max* @return*/public Long zRemoveRangeByScore(String key, double min, double max) {return redisTemplate.opsForZSet().removeRangeByScore(key, min, max);}/*** 获取key和otherKey的并集并存储在destKey中** @param key* @param otherKey* @param destKey* @return*/public Long zUnionAndStore(String key, String otherKey, String destKey) {return redisTemplate.opsForZSet().unionAndStore(key, otherKey, destKey);}/*** @param key* @param otherKeys* @param destKey* @return*/public Long zUnionAndStore(String key, Collection<String> otherKeys,String destKey) {return redisTemplate.opsForZSet().unionAndStore(key, otherKeys, destKey);}/*** 交集** @param key* @param otherKey* @param destKey* @return*/public Long zIntersectAndStore(String key, String otherKey,String destKey) {return redisTemplate.opsForZSet().intersectAndStore(key, otherKey,destKey);}/*** 交集** @param key* @param otherKeys* @param destKey* @return*/public Long zIntersectAndStore(String key, Collection<String> otherKeys,String destKey) {return redisTemplate.opsForZSet().intersectAndStore(key, otherKeys,destKey);}/*** @param key* @param options* @return*/public Cursor<TypedTuple<String>> zScan(String key, ScanOptions options) {return redisTemplate.opsForZSet().scan(key, options);}
}
4.2IP工具类
package com.example.utils;import javax.servlet.http.HttpServletRequest;
import java.net.InetAddress;
import java.net.NetworkInterface;
import java.net.UnknownHostException;
import java.util.Enumeration;
import java.util.regex.Matcher;
import java.util.regex.Pattern;/*** <p> IP工具类 </p>** @description :*/
public class IpUtils {/*** 获取客户机ip地址** @param request:* @return: java.lang.String*/public static String getIpAdrress(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();}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");}// 如果是多级代理，那么取第一个ip为客户ipif (ip != null && ip.indexOf(",") != -1) {ip = ip.substring(ip.lastIndexOf(",") + 1, ip.length()).trim();}return ip;}public static boolean internalIp(String ip) {byte[] addr = textToNumericFormatV4(ip);return internalIp(addr) || "127.0.0.1".equals(ip);}private static boolean internalIp(byte[] addr) {final byte b0 = addr[0];final byte b1 = addr[1];// 10.x.x.x/8final byte SECTION_1 = 0x0A;// 172.16.x.x/12final byte SECTION_2 = (byte) 0xAC;final byte SECTION_3 = (byte) 0x10;final byte SECTION_4 = (byte) 0x1F;// 192.168.x.x/16final byte SECTION_5 = (byte) 0xC0;final byte SECTION_6 = (byte) 0xA8;switch (b0) {case SECTION_1:return true;case SECTION_2:if (b1 >= SECTION_3 && b1 <= SECTION_4) {return true;}case SECTION_5:switch (b1) {case SECTION_6:return true;}default:return false;}}/*** 将IPv4地址转换成字节** @param text IPv4地址* @return byte 字节*/public static byte[] textToNumericFormatV4(String text) {if (text.length() == 0) {return null;}byte[] bytes = new byte[4];String[] elements = text.split("\\.", -1);try {long l;int i;switch (elements.length) {case 1:l = Long.parseLong(elements[0]);if ((l < 0L) || (l > 4294967295L))return null;bytes[0] = (byte) (int) (l >> 24 & 0xFF);bytes[1] = (byte) (int) ((l & 0xFFFFFF) >> 16 & 0xFF);bytes[2] = (byte) (int) ((l & 0xFFFF) >> 8 & 0xFF);bytes[3] = (byte) (int) (l & 0xFF);break;case 2:l = Integer.parseInt(elements[0]);if ((l < 0L) || (l > 255L))return null;bytes[0] = (byte) (int) (l & 0xFF);l = Integer.parseInt(elements[1]);if ((l < 0L) || (l > 16777215L))return null;bytes[1] = (byte) (int) (l >> 16 & 0xFF);bytes[2] = (byte) (int) ((l & 0xFFFF) >> 8 & 0xFF);bytes[3] = (byte) (int) (l & 0xFF);break;case 3:for (i = 0; i < 2; ++i) {l = Integer.parseInt(elements[i]);if ((l < 0L) || (l > 255L))return null;bytes[i] = (byte) (int) (l & 0xFF);}l = Integer.parseInt(elements[2]);if ((l < 0L) || (l > 65535L))return null;bytes[2] = (byte) (int) (l >> 8 & 0xFF);bytes[3] = (byte) (int) (l & 0xFF);break;case 4:for (i = 0; i < 4; ++i) {l = Integer.parseInt(elements[i]);if ((l < 0L) || (l > 255L))return null;bytes[i] = (byte) (int) (l & 0xFF);}break;default:return null;}} catch (NumberFormatException e) {return null;}return bytes;}public static String getHostIp() {try {return InetAddress.getLocalHost().getHostAddress();} catch (UnknownHostException e) {}return "127.0.0.1";}public static String getHostName() {try {return InetAddress.getLocalHost().getHostName();} catch (UnknownHostException e) {}return "未知";}/*** 检查IP是否合法** @param ip* @return*/public static boolean ipValid(String ip) {String regex0 = "(2[0-4]\\d)" + "|(25[0-5])";String regex1 = "1\\d{2}";String regex2 = "[1-9]\\d";String regex3 = "\\d";String regex = "(" + regex0 + ")|(" + regex1 + ")|(" + regex2 + ")|(" + regex3 + ")";regex = "(" + regex + ").(" + regex + ").(" + regex + ").(" + regex + ")";Pattern p = Pattern.compile(regex);Matcher m = p.matcher(ip);return m.matches();}/*** 获取本地ip 适合windows与linux** @param :* @return: java.lang.String*/public static String getLocalIP() {String localIP = "127.0.0.1";try {Enumeration netInterfaces = NetworkInterface.getNetworkInterfaces();while (netInterfaces.hasMoreElements()) {NetworkInterface ni = (NetworkInterface) netInterfaces.nextElement();InetAddress ip = ni.getInetAddresses().nextElement();if (!ip.isLoopbackAddress() && ip.getHostAddress().indexOf(":") == -1) {localIP = ip.getHostAddress();break;}}} catch (Exception e) {try {localIP = InetAddress.getLocalHost().getHostAddress();} catch (UnknownHostException e1) {e1.printStackTrace();}}return localIP;}/*** 把ip转化为整数** @param ip* @return*/public static long translateIP2Int(String ip) {String[] intArr = ip.split("\\.");int[] ipInt = new int[intArr.length];for (int i = 0; i < intArr.length; i++) {ipInt[i] = new Integer(intArr[i]).intValue();}return ipInt[0] * 256 * 256 * 256 + +ipInt[1] * 256 * 256 + ipInt[2] * 256 + ipInt[3];}public static void main(String[] args) {System.out.println(getLocalIP());}}
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