中心思想就是把該用戶首次訪問的時間和訪問個數放到reds中用戶每訪問一次加1，先對比訪問的次數是否超出，然后對比訪問的時間是超出所設置的時間1.實現一個過濾器接口 package com.exam.interceptor;import com.alibaba.fastjson.JSONObject; import com.exam.serviceimpl.MajorServiceImpl; import com.exam.util.DateUtil; import com.exam.util.PageData; import com.exam.util.RedisUtils;import com.exam.util.UuidUtil; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.context.ApplicationContext; import org.springframework.core.annotation.Order; import org.springframework.data.redis.core.StringRedisTemplate; import org.springframework.stereotype.Component;import javax.servlet.*; import javax.servlet.annotation.WebFilter; import javax.servlet.http.HttpServletRequest; import javax.servlet.http.HttpSession; import java.io.IOException; import java.io.PrintWriter; import java.util.concurrent.TimeUnit;import org.springframework.web.context.support.WebApplicationContextUtils;@Order(0) @Component @WebFilter(urlPatterns = "/*",filterName = "channelFilter22") public class ChannelFilter implements Filter {@Autowiredprivate MajorServiceImpl majorServiceImpl;//單位時間內最大訪問數private static final Integer MAX_COUNT = 10;//單位時間private static final Integer UNIT_TIME = 1 * 1000;//秒//限制時長private static final Long REJECT_TIME =1L;//10分鐘 10 * 60 * 1000LLprivate static RedisUtils redisUtils;private ApplicationContext context;@Overridepublic void init(FilterConfig filterConfig) throws ServletException {context = WebApplicationContextUtils.getWebApplicationContext(filterConfig.getServletContext());if (redisUtils == null) {redisUtils = new RedisUtils();StringRedisTemplate redisTemplate = (StringRedisTemplate) context.getBean("stringRedisTemplate");redisUtils.setRedisTemplate(redisTemplate);}}// @Override // public void doFilter(ServletRequest servletRequest, ServletResponse servletResponse, FilterChain filterChain) throws IOException, ServletException {@Overridepublic void doFilter(ServletRequest request, ServletResponse response, FilterChain chain) throws IOException, ServletException {HttpServletRequest httpRequest = (HttpServletRequest)request;HttpSession session = httpRequest.getSession();String username = String.valueOf(session.getAttribute("username"));if (username!=null && !username.contains("null")) {String ip =username;//過濾黑名單if (redisUtils.hasKey("filter:ip:black:" + ip)) {// System.out.println("ip訪問過于頻繁，已被限制=>" + ip + " 倒計時" + redisUtils.getExpire("filter:ip:black:" + ip));response.setCharacterEncoding("utf-8");response.setContentType("application/json; charset=utf-8");PrintWriter writer = response.getWriter();JSONObject o = new JSONObject();o.put("codeSession", "02");writer.write(o.toString());return;}//判斷ip是否首次訪問if (redisUtils.hExists("filter:ip:normal", "count:" + ip)) {//判斷最大訪問次數Integer maxCount = Integer.valueOf(redisUtils.hGet("filter:ip:normal", "count:" + ip).toString()); // System.out.println("ip：" + ip + " 訪問" + maxCount + "次");if (maxCount > MAX_COUNT) {Long maxTime = Long.valueOf(redisUtils.hGet("filter:ip:normal", "time:" + ip).toString());if (System.currentTimeMillis() - maxTime < UNIT_TIME) { // System.out.println("ip訪問過于頻繁，已被限制=>" + ip + " 倒計時" + REJECT_TIME);redisUtils.setEx("filter:ip:black:" + ip, "1", REJECT_TIME, TimeUnit.MILLISECONDS); // System.out.println("AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" + TimeUnit.MILLISECONDS);String str[] = {"count:" + ip, "time:" + ip};//插入日志表PageData pd=new PageData();pd.put("id", UuidUtil.get32UUID());pd.put("ip",ip);pd.put("username",username);pd.put("isLock","1");pd.put("maxCount",maxCount.toString());pd.put("updateTime", DateUtil.getTime());pd.put("createTime",DateUtil.getTime());majorServiceImpl.insterLogInfo(pd);//插入日志表//管理員表更新String role = String.valueOf(session.getAttribute("role"));if("0".equals(role)){majorServiceImpl.updateAdmin(pd);}//更新老師表if("1".equals(role)){majorServiceImpl.updateTeacherLock(pd);}//更新學生表if("2".equals(role)){majorServiceImpl.updateStudentLock(pd);}//更新學院表if("3".equals(role)){majorServiceImpl.updateCollegeLock(pd);}redisUtils.hDelete("filter:ip:normal", str);response.setCharacterEncoding("utf-8");response.setContentType("application/json; charset=utf-8");PrintWriter writer = response.getWriter();JSONObject o = new JSONObject();o.put("codeSession", "02");writer.write(o.toString());return;}initVisitsIP(ip);}} else {initVisitsIP(ip);}ServletRequest requestWrapper = null;if(request instanceof HttpServletRequest) {requestWrapper = new MyHttpServletRequestWrapper((HttpServletRequest) request);}if(requestWrapper == null) {chain.doFilter(request, response);} else {chain.doFilter(requestWrapper, response);}redisUtils.hIncrBy("filter:ip:normal", "count:" + ip, 1);}else{ServletRequest requestWrapper = null;if(request instanceof HttpServletRequest) {requestWrapper = new MyHttpServletRequestWrapper((HttpServletRequest) request);}if(requestWrapper == null) {chain.doFilter(request, response);} else {chain.doFilter(requestWrapper, response);}}}/*** 初始化訪問ip* @param ip*/private void initVisitsIP(String ip) {redisUtils.hPut("filter:ip:normal", "count:" + ip, "0");redisUtils.hPut("filter:ip:normal", "time:" + ip, String.valueOf(System.currentTimeMillis()));}@Overridepublic void destroy() {} }2.重新加載request package com.exam.interceptor; import javax.servlet.ReadListener; import javax.servlet.ServletInputStream; import javax.servlet.http.HttpServletRequest; import javax.servlet.http.HttpServletRequestWrapper; import java.io.*;public class MyHttpServletRequestWrapper extends HttpServletRequestWrapper {private final String body;public MyHttpServletRequestWrapper(HttpServletRequest request) {super(request);StringBuilder stringBuilder = new StringBuilder();BufferedReader bufferedReader = null;InputStream inputStream = null;try {inputStream = request.getInputStream();if (inputStream != null) {bufferedReader = new BufferedReader(new InputStreamReader(inputStream));char[] charBuffer = new char[128];int bytesRead = -1;while ((bytesRead = bufferedReader.read(charBuffer)) > 0) {stringBuilder.append(charBuffer, 0, bytesRead);}} else {stringBuilder.append("");}} catch (IOException ex) {} finally {if (inputStream != null) {try {inputStream.close();}catch (IOException e) {e.printStackTrace();}}if (bufferedReader != null) {try {bufferedReader.close();}catch (IOException e) {e.printStackTrace();}}}body = stringBuilder.toString();}@Overridepublic ServletInputStream getInputStream() throws IOException {final ByteArrayInputStream byteArrayInputStream = new ByteArrayInputStream(body.getBytes());ServletInputStream servletInputStream = new ServletInputStream() {@Overridepublic boolean isFinished() {return false;}@Overridepublic boolean isReady() {return false;}@Overridepublic void setReadListener(ReadListener readListener) {}@Overridepublic int read() throws IOException {return byteArrayInputStream.read();}};return servletInputStream;}@Overridepublic BufferedReader getReader() throws IOException {return new BufferedReader(new InputStreamReader(this.getInputStream()));}public String getBody() {return this.body;}} 3使用Redis的一個工具類 package com.exam.util; 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; 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;@Component public class RedisUtils {@Autowiredprivate StringRedisTemplate redisTemplate;public void setRedisTemplate(StringRedisTemplate redisTemplate) {this.redisTemplate = redisTemplate;}public StringRedisTemplate getRedisTemplate() {return this.redisTemplate;}/** -------------------key相關操作--------------------- *//*** 普通緩存放入并設置時間* @param key 鍵* @param value 值* @param time 時間* @param timeUnit 類型* @return true成功 false 失敗*/public boolean set2(String key, String value, long time, TimeUnit timeUnit) {try {if (time > 0) {redisTemplate.opsForValue().set(key, value, time, timeUnit);} else {set(key, value);}return true;} catch (Exception e) {e.printStackTrace();return false;}}/*** 刪除key** @param key*/public void delete(String key) {redisTemplate.delete(key);}/*** 批量刪除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);}/*** 設置過期時間** @param key* @param timeout* @param unit* @return*/public Boolean expire(String key, long timeout, TimeUnit unit) {return redisTemplate.expire(key, timeout, unit);}/*** 設置過期時間** @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);}/*** 將當前數據庫的 key 移動到給定的數據庫 db 當中** @param key* @param dbIndex* @return*/public Boolean move(String key, int dbIndex) {return redisTemplate.move(key, dbIndex);}/*** 移除 key 的過期時間，key 將持久保持** @param key* @return*/public Boolean persist(String key) {return redisTemplate.persist(key);}/*** 返回 key 的剩余的過期時間** @param key* @param unit* @return*/public Long getExpire(String key, TimeUnit unit) {return redisTemplate.getExpire(key, unit);}/*** 返回 key 的剩余的過期時間** @param key* @return*/public Long getExpire(String key) {return redisTemplate.getExpire(key);}/*** 從當前數據庫中隨機返回一個 key** @return*/public String randomKey() {return redisTemplate.randomKey();}/*** 修改 key 的名稱** @param oldKey* @param newKey*/public void rename(String oldKey, String newKey) {redisTemplate.rename(oldKey, newKey);}/*** 僅當 newkey 不存在時，將 oldKey 改名為 newkey** @param oldKey* @param newKey* @return*/public Boolean renameIfAbsent(String oldKey, String newKey) {return redisTemplate.renameIfAbsent(oldKey, newKey);}/*** 返回 key 所儲存的值的類型** @param key* @return*/public DataType type(String key) {return redisTemplate.type(key);}/** -------------------string相關操作--------------------- *//*** 設置指定 key 的值** @param key* @param value*/public void set(String key, String value) {redisTemplate.opsForValue().set(key, value);}/*** 獲取指定 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);}/*** 將給定 key 的值設為 value ，并返回 key 的舊值(old value)** @param key* @param value* @return*/public String getAndSet(String key, String value) {return redisTemplate.opsForValue().getAndSet(key, value);}/*** 對 key 所儲存的字符串值，獲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);}/*** 批量獲取** @param keys* @return*/public List<String> multiGet(Collection<String> keys) {return redisTemplate.opsForValue().multiGet(keys);}/*** 設置ASCII碼, 字符串'a'的ASCII碼是97, 轉為二進制是'01100001', 此方法是將二進制第offset位值變為value** @param key 位置* @param value 值,true為1, false為0* @return*/public boolean setBit(String key, long offset, boolean value) {return redisTemplate.opsForValue().setBit(key, offset, value);}/*** 將值 value 關聯到 key ，并將 key 的過期時間設為 timeout** @param key* @param value* @param timeout 過期時間* @param unit 時間單位, 天:TimeUnit.DAYS 小時:TimeUnit.HOURS 分鐘: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 不存在時設置 key 的值** @param key* @param value* @return 之前已經存在返回false, 不存在返回true*/public boolean setIfAbsent(String key, String value) {return redisTemplate.opsForValue().setIfAbsent(key, value);}/*** 用 value 參數覆寫給定 key 所儲存的字符串值，從偏移量 offset 開始** @param key* @param value* @param offset 從指定位置開始覆寫*/public void setRange(String key, String value, long offset) {redisTemplate.opsForValue().set(key, value, offset);}/*** 獲取字符串的長度** @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);}/*** 同時設置一個或多個 key-value 對，當且僅當所有給定 key 都不存在** @param maps* @return 之前已經存在返回false, 不存在返回true*/public boolean multiSetIfAbsent(Map<String, String> maps) {return redisTemplate.opsForValue().multiSetIfAbsent(maps);}/*** 增加(自增長), 負數則為自減** @param key* @return*/public Long incrBy(String key, long increment) {return redisTemplate.opsForValue().increment(key, increment);}/*** @param key* @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相關操作------------------------- *//*** 獲取存儲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);}/*** 獲取所有給定字段的值** @param key* @return*/public Map<Object, Object> hGetAll(String key) {return redisTemplate.opsForHash().entries(key);}/*** 獲取所有給定字段的值** @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);}/*** 僅當hashKey不存在時才設置** @param key* @param hashKey* @param value* @return*/public Boolean hPutIfAbsent(String key, String hashKey, String value) {return redisTemplate.opsForHash().putIfAbsent(key, hashKey, value);}/*** 刪除一個或多個哈希表字段** @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);}/*** 為哈希表 key 中的指定字段的整數值加上增量 increment** @param key* @param field* @param increment* @return*/public Long hIncrBy(String key, Object field, long increment) {return redisTemplate.opsForHash().increment(key, field, increment);}/*** 為哈希表 key 中的指定字段的整數值加上增量 increment** @param key* @param field* @param delta* @return*/public Double hIncrByFloat(String key, Object field, double delta) {return redisTemplate.opsForHash().increment(key, field, delta);}/*** 獲取所有哈希表中的字段** @param key* @return*/public Set<Object> hKeys(String key) {return redisTemplate.opsForHash().keys(key);}/*** 獲取哈希表中字段的數量** @param key* @return*/public Long hSize(String key) {return redisTemplate.opsForHash().size(key);}/*** 獲取哈希表中所有值** @param key* @return*/public List<Object> hValues(String key) {return redisTemplate.opsForHash().values(key);}/*** 迭代哈希表中的鍵值對** @param key* @param options* @return*/public Cursor<Entry<Object, Object>> hScan(String key, ScanOptions options) {return redisTemplate.opsForHash().scan(key, options);}/** ------------------------list相關操作---------------------------- *//*** 通過索引獲取列表中的元素** @param key* @param index* @return*/public String lIndex(String key, long index) {return redisTemplate.opsForList().index(key, index);}/*** 獲取列表指定范圍內的元素** @param key* @param start 開始位置, 0是開始位置* @param end 結束位置, -1返回所有* @return*/public List<String> lRange(String key, long start, long end) {return redisTemplate.opsForList().range(key, start, end);}/*** 存儲在list頭部** @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);}/*** 當list存在的時候才加入** @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);}/*** 為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元素的右邊添加值** @param key* @param pivot* @param value* @return*/public Long lRightPush(String key, String pivot, String value) {return redisTemplate.opsForList().rightPush(key, pivot, value);}/*** 通過索引設置列表元素的值** @param key* @param index 位置* @param value*/public void lSet(String key, long index, String value) {redisTemplate.opsForList().set(key, index, value);}/*** 移出并獲取列表的第一個元素** @param key* @return 刪除的元素*/public String lLeftPop(String key) {return redisTemplate.opsForList().leftPop(key);}/*** 移出并獲取列表的第一個元素， 如果列表沒有元素會阻塞列表直到等待超時或發現可彈出元素為止** @param key* @param timeout 等待時間* @param unit 時間單位* @return*/public String lBLeftPop(String key, long timeout, TimeUnit unit) {return redisTemplate.opsForList().leftPop(key, timeout, unit);}/*** 移除并獲取列表最后一個元素** @param key* @return 刪除的元素*/public String lRightPop(String key) {return redisTemplate.opsForList().rightPop(key);}/*** 移出并獲取列表的最后一個元素， 如果列表沒有元素會阻塞列表直到等待超時或發現可彈出元素為止** @param key* @param timeout 等待時間* @param unit 時間單位* @return*/public String lBRightPop(String key, long timeout, TimeUnit unit) {return redisTemplate.opsForList().rightPop(key, timeout, unit);}/*** 移除列表的最后一個元素，并將該元素添加到另一個列表并返回** @param sourceKey* @param destinationKey* @return*/public String lRightPopAndLeftPush(String sourceKey, String destinationKey) {return redisTemplate.opsForList().rightPopAndLeftPush(sourceKey,destinationKey);}/*** 從列表中彈出一個值，將彈出的元素插入到另外一個列表中并返回它； 如果列表沒有元素會阻塞列表直到等待超時或發現可彈出元素為止** @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);}/*** 刪除集合中值等于value得元素** @param key* @param index index=0, 刪除所有值等于value的元素; index>0, 從頭部開始刪除第一個值等于value的元素;* index<0, 從尾部開始刪除第一個值等于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);}/*** 獲取列表長度** @param key* @return*/public Long lLen(String key) {return redisTemplate.opsForList().size(key);}/** --------------------set相關操作-------------------------- *//*** 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個隨機元素** @param key* @return*/public String sPop(String key) {return redisTemplate.opsForSet().pop(key);}/*** 將元素value從一個集合移到另一個集合** @param key* @param value* @param destKey* @return*/public Boolean sMove(String key, String value, String destKey) {return redisTemplate.opsForSet().move(key, value, destKey);}/*** 獲取集合的大小** @param key* @return*/public Long sSize(String key) {return redisTemplate.opsForSet().size(key);}/*** 判斷集合是否包含value** @param key* @param value* @return*/public Boolean sIsMember(String key, Object value) {return redisTemplate.opsForSet().isMember(key, value);}/*** 獲取兩個集合的交集** @param key* @param otherKey* @return*/public Set<String> sIntersect(String key, String otherKey) {return redisTemplate.opsForSet().intersect(key, otherKey);}/*** 獲取key集合與多個集合的交集** @param key* @param otherKeys* @return*/public Set<String> sIntersect(String key, Collection<String> otherKeys) {return redisTemplate.opsForSet().intersect(key, otherKeys);}/*** key集合與otherKey集合的交集存儲到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集合與多個集合的交集存儲到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);}/*** 獲取兩個集合的并集** @param key* @param otherKeys* @return*/public Set<String> sUnion(String key, String otherKeys) {return redisTemplate.opsForSet().union(key, otherKeys);}/*** 獲取key集合與多個集合的并集** @param key* @param otherKeys* @return*/public Set<String> sUnion(String key, Collection<String> otherKeys) {return redisTemplate.opsForSet().union(key, otherKeys);}/*** key集合與otherKey集合的并集存儲到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集合與多個集合的并集存儲到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);}/*** 獲取兩個集合的差集** @param key* @param otherKey* @return*/public Set<String> sDifference(String key, String otherKey) {return redisTemplate.opsForSet().difference(key, otherKey);}/*** 獲取key集合與多個集合的差集** @param key* @param otherKeys* @return*/public Set<String> sDifference(String key, Collection<String> otherKeys) {return redisTemplate.opsForSet().difference(key, otherKeys);}/*** key集合與otherKey集合的差集存儲到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集合與多個集合的差集存儲到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);}/*** 獲取集合所有元素** @param key* @return*/public Set<String> setMembers(String key) {return redisTemplate.opsForSet().members(key);}/*** 隨機獲取集合中的一個元素** @param key* @return*/public String sRandomMember(String key) {return redisTemplate.opsForSet().randomMember(key);}/*** 隨機獲取集合中count個元素** @param key* @param count* @return*/public List<String> sRandomMembers(String key, long count) {return redisTemplate.opsForSet().randomMembers(key, count);}/*** 隨機獲取集合中count個元素并且去除重復的** @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相關操作--------------------------------*//*** 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);}/*** 獲取集合的元素, 從小到大排序** @param key* @param start 開始位置* @param end 結束位置, -1查詢所有* @return*/public Set<String> zRange(String key, long start, long end) {return redisTemplate.opsForZSet().range(key, start, end);}/*** 獲取集合元素, 并且把score值也獲取** @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);}/*** 根據Score值查詢集合元素** @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);}/*** 根據Score值查詢集合元素, 從小到大排序** @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);}/*** 獲取集合的元素, 從大到小排序** @param key* @param start* @param end* @return*/public Set<String> zReverseRange(String key, long start, long end) {return redisTemplate.opsForZSet().reverseRange(key, start, end);}/*** 獲取集合的元素, 從大到小排序, 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);}/*** 根據Score值查詢集合元素, 從大到小排序** @param key* @param min* @param max* @return*/public Set<String> zReverseRangeByScore(String key, double min,double max) {return redisTemplate.opsForZSet().reverseRangeByScore(key, min, max);}/*** 根據Score值查詢集合元素, 從大到小排序** @param key* @param min* @param max* @return*/public Set<ZSetOperations.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);}/*** 根據score值獲取集合元素數量** @param key* @param min* @param max* @return*/public Long zCount(String key, double min, double max) {return redisTemplate.opsForZSet().count(key, min, max);}/*** 獲取集合大小** @param key* @return*/public Long zSize(String key) {return redisTemplate.opsForZSet().size(key);}/*** 獲取集合大小** @param key* @return*/public Long zZCard(String key) {return redisTemplate.opsForZSet().zCard(key);}/*** 獲取集合中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員** @param key* @param start* @param end* @return*/public Long zRemoveRange(String key, long start, long end) {return redisTemplate.opsForZSet().removeRange(key, start, end);}/*** 根據指定的score值的范圍來移除成員** @param key* @param min* @param max* @return*/public Long zRemoveRangeByScore(String key, double min, double max) {return redisTemplate.opsForZSet().removeRangeByScore(key, min, max);}/*** 獲取key和otherKey的并集并存儲在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);} }

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