使用SpringBoot+Redis做一个排行榜【推荐】

SpringBoot + Redis实现排行榜

一、Zset有序集合介绍

Zset是一个没有重复元素的字符串集合。不同之处是有序集合的每个成员都关联了一个评分( score) ,这个评分( score)被用来按照从最低分到最高分的方式排序集合中的成员。集合的成员是唯一的，但是评分可以是重复了。

因为元素是有序的,所以你也可以很快的根据评分( score )或者次序( position )来获取一个范围的元素。

访问有序集合的中间元素也是非常快的,因此你能够使用有序集合作为一个没有重复成员的智能列表

Zset 非常适合用于实现各种排行榜。例如，你可以将用户的 ID 作为元素，用户的分数作为分数，然后使用 Zset 来存储和排序所有用户的分数。你可以很容易地获取到分数最高的用户，或者获取到任何用户的排名。

二、Zset的常用操作

zadd key score1 member1 [score2 member2…]-----------添加一个或多个元素，并给每个元素设置分数,返回成功插入个数
zcard key-----------获取集合元素个数
zcount key min max------------统计score在[min,max]区间的元素数量
zlexcount key min max-------------在有序集合中计算指定字典区间内成员数量,字典序(lexicographical order )
zrange key start stop [WITHSCORES]-----------返回按score从小到大排序后且索引在[start,stop]区间的元素，从0开始
zrangebyscore key min max [WITHSCORES] [LIMIT]--------------返回按score从小到大排序后且分数在[min,max]区间的元素
zrevrange key start stop [WITHSCORES]----------------返回按score从大到小排序后且索引在[start,stop]区间的元素，从0开始
zrevrangebyscore key max min[WITHSCORES]------------------返回按score从大到小排序后且分数在[min,max]区间的元素
zrangebylex key min max[LIMIT offset count]--------------通过字典区间返回有序集合的成员
zrank key member-------------返回元素member的索引，不存在nil
zrevrank key member--------------返回有序集合中指定成员的排名，有序集成员按分数值递减(从大到小)排序
zscore key member---------------返回有序集合中，元素member分数
zscan key cursor [MATCH pattern] [COUNT count]-------------迭代有序集合中的元素（包括元素的分值）
zunionstore destination numkeys key [key …]-------------计算给定的一个或多个有序集的并集，并存储在新的 key 中
zinterstore destination numkeys key [key …]--------------计算给定的一个或多个有序集的交集并将结果集存储在新的有序集合 key 中
zincrby key increment member-----------有序集合中对指定元素的分数加上增量 increment
zrem key member[member…]-----------移除有序集合中的一个或多个元素
zremrangebylex key min max-----------移除有序集合中给定的字典区间的所有成员
zremrangebyrank key start stop---------移除有序集合中给定的排名区间的所有成员
zremrangebyscore key min max-------移除有序集合中给定的分数区间的所有成员

三、具体实现

首先SpringBoot需要集成Redis（导入依赖）

<dependencies><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter</artifactId></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-test</artifactId><scope>test</scope></dependency><!-- 集成redis依赖  --><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-data-redis</artifactId></dependency><dependency><groupId>junit</groupId><artifactId>junit</artifactId><scope>test</scope></dependency><dependency><groupId>org.springframework</groupId><artifactId>spring-tx</artifactId></dependency><dependency><groupId>com.fasterxml.jackson.core</groupId><artifactId>jackson-annotations</artifactId></dependency><dependency><groupId>com.fasterxml.jackson.core</groupId><artifactId>jackson-databind</artifactId></dependency></dependencies>

编写配置文件连接Redis

spring:redis:host: localhostport: 6379password:database: 0

redis序列化：redisConfig

import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.JsonTypeInfo;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.jsontype.impl.LaissezFaireSubTypeValidator;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;@Configuration
public class RedisConfig {@Bean(name = "redisTemplate")public RedisTemplate<String, Object> getRedisTemplate(RedisConnectionFactory factory) {RedisTemplate<String, Object> redisTemplate = new RedisTemplate<String, Object>();redisTemplate.setConnectionFactory(factory);StringRedisSerializer stringRedisSerializer = new StringRedisSerializer();redisTemplate.setKeySerializer(stringRedisSerializer); // key的序列化类型Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);ObjectMapper objectMapper = new ObjectMapper();objectMapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);objectMapper.activateDefaultTyping(LaissezFaireSubTypeValidator.instance ,ObjectMapper.DefaultTyping.NON_FINAL, JsonTypeInfo.As.PROPERTY);jackson2JsonRedisSerializer.setObjectMapper(objectMapper);jackson2JsonRedisSerializer.setObjectMapper(objectMapper);redisTemplate.setValueSerializer(jackson2JsonRedisSerializer); // value的序列化类型redisTemplate.setHashKeySerializer(stringRedisSerializer);redisTemplate.setHashValueSerializer(jackson2JsonRedisSerializer);redisTemplate.afterPropertiesSet();return redisTemplate;}
}

redis工具类：里面基本包含所有redis的命令方法（博主可是找的好久才找到的）


import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.cache.annotation.CachingConfigurerSupport;
import org.springframework.dao.DataAccessException;
import org.springframework.data.redis.connection.DataType;
import org.springframework.data.redis.connection.RedisConnection;
import org.springframework.data.redis.connection.StringRedisConnection;
import org.springframework.data.redis.core.Cursor;
import org.springframework.data.redis.core.RedisCallback;
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.lang.Nullable;
import org.springframework.stereotype.Component;import java.util.*;
import java.util.concurrent.TimeUnit;/*** redis缓存 工具类(几乎全覆盖)*/@Component
public class RedisCaching extends CachingConfigurerSupport {@Autowiredprivate StringRedisTemplate stringRedisTemplate;public StringRedisTemplate getstringRedisTemplate() {return this.stringRedisTemplate;}/*-------------------key相关操作---------------------*//*** 删除key** @param key*/public void delete(String key) {stringRedisTemplate.delete(key);}/*** 批量删除key** @param keys*/public void delete(Collection<String> keys) {stringRedisTemplate.delete(keys);}/*** 序列化key** @param key* @return*/public byte[] dump(String key) {return stringRedisTemplate.dump(key);}/*** 是否存在key** @param key* @return*/public Boolean exists(String key) {return stringRedisTemplate.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 stringRedisTemplate.expire(key, timeout, unit);}/*** 设置过期时间** @param key* @param date* @return*/public Boolean expireAt(String key, Date date) {return stringRedisTemplate.expireAt(key, date);}/*** 查找匹配的key** @param pattern* @return*/public Set<String> keys(String pattern) {return stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.getExpire(key, unit);}/*** 返回 key 的剩余的过期时间** @param key* @return*/public Long getExpire(String key) {return stringRedisTemplate.getExpire(key);}/*** 从当前数据库中随机返回一个 key** @return*/public String randomKey() {return stringRedisTemplate.randomKey();}/*** 修改 key 的名称** @param oldKey* @param newKey*/public void rename(String oldKey, String newKey) {stringRedisTemplate.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 stringRedisTemplate.renameIfAbsent(oldKey, newKey);}/*** 返回 key 所储存的值的类型** @param key* @return*/public DataType type(String key) {return stringRedisTemplate.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) {stringRedisTemplate.opsForValue().set(key, value);}/*** 获取指定 key 的值** @param key* @return*/public String get(String key) {return stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.opsForValue().getBit(key, offset);}/*** 批量获取** @param keys* @return*/public List<String> multiGet(Collection<String> keys) {return stringRedisTemplate.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* @param value 值,true为1, false为0* @return*/public boolean setBit(String key, long offset, boolean value) {return stringRedisTemplate.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) {stringRedisTemplate.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 stringRedisTemplate.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) {stringRedisTemplate.opsForValue().set(key, value, offset);}/*** 获取字符串的长度** @param key* @return*/public Long size(String key) {return stringRedisTemplate.opsForValue().size(key);}/*** 批量添加** @param maps*/public void multiSet(Map<String, String> maps) {stringRedisTemplate.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 stringRedisTemplate.opsForValue().multiSetIfAbsent(maps);}/*** 增加(自增长), 负数则为自减** @param key* @param* @return*/public Long incrBy(String key, long increment) {return stringRedisTemplate.opsForValue().increment(key, increment);}/*** @param key* @param* @return*/public Double incrByFloat(String key, double increment) {return stringRedisTemplate.opsForValue().increment(key, increment);}/*** 追加到末尾** @param key* @param value* @return*/public Integer append(String key, String value) {return stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.opsForHash().multiGet(key, fields);}public void hPut(String key, String hashKey, String value) {stringRedisTemplate.opsForHash().put(key, hashKey, value);}public void hPutAll(String key, Map<String, String> maps) {stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.opsForHash().keys(key);}/*** 获取哈希表中字段的数量** @param key* @return*/public Long hSize(String key) {return stringRedisTemplate.opsForHash().size(key);}/*** 获取哈希表中所有值** @param key* @return*/public List<Object> hValues(String key) {return stringRedisTemplate.opsForHash().values(key);}/*** 迭代哈希表中的键值对** @param key* @param options* @return*/public Cursor<Map.Entry<Object, Object>> hScan(String key, ScanOptions options) {return stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.opsForList().range(key, start, end);}/*** 存储在list头部** @param key* @param value* @return*/public Long lLeftPush(String key, String value) {return stringRedisTemplate.opsForList().leftPush(key, value);}/*** @param key* @param value* @return*/public Long lLeftPushAll(String key, String... value) {return stringRedisTemplate.opsForList().leftPushAll(key, value);}/*** @param key* @param value* @return*/public Long lLeftPushAll(String key, Collection<String> value) {return stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.opsForList().leftPush(key, pivot, value);}/*** @param key* @param value* @return*/public Long lRightPush(String key, String value) {return stringRedisTemplate.opsForList().rightPush(key, value);}/*** @param key* @param value* @return*/public Long lRightPushAll(String key, String... value) {return stringRedisTemplate.opsForList().rightPushAll(key, value);}/*** @param key* @param value* @return*/public Long lRightPushAll(String key, Collection<String> value) {return stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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) {stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.opsForList().remove(key, index, value);}/*** 裁剪list** @param key* @param start* @param end*/public void lTrim(String key, long start, long end) {stringRedisTemplate.opsForList().trim(key, start, end);}/*** 获取列表长度** @param key* @return*/public Long lLen(String key) {return stringRedisTemplate.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 stringRedisTemplate.opsForSet().add(key, values);}/*** set移除元素** @param key* @param values* @return*/public Long sRemove(String key, Object... values) {return stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.opsForSet().move(key, value, destKey);}/*** 获取集合的大小** @param key* @return*/public Long sSize(String key) {return stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.opsForSet().differenceAndStore(key, otherKeys,destKey);}/*** 获取集合所有元素** @param key* @param* @param* @return*/public Set<String> setMembers(String key) {return stringRedisTemplate.opsForSet().members(key);}/*** 随机获取集合中的一个元素** @param key* @return*/public String sRandomMember(String key) {return stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.opsForSet().distinctRandomMembers(key, count);}/*** @param key* @param options* @return*/public Cursor<String> sScan(String key, ScanOptions options) {return stringRedisTemplate.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 stringRedisTemplate.opsForZSet().add(key, value, score);}/*** @param key* @param values* @return*/public Long zAdd(String key, Set<TypedTuple<String>> values) {return stringRedisTemplate.opsForZSet().add(key, values);}/*** @param key* @param values* @return*/public Long zRemove(String key, Object... values) {return stringRedisTemplate.opsForZSet().remove(key, values);}public Long zRemove(String key, Collection<String> values) {if (values != null && !values.isEmpty()) {Object[] objs = values.toArray(new Object[values.size()]);return stringRedisTemplate.opsForZSet().remove(key, objs);}return 0L;}/*** 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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.opsForZSet().range(key, start, end);}/*** 获取zset集合的所有元素, 从小到大排序*/public Set<String> zRangeAll(String key) {return zRange(key, 0, -1);}/*** 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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.opsForZSet().reverseRange(key, start, end);}public Set<String> zReverseRangeByScore(String key, long min, long max) {return stringRedisTemplate.opsForZSet().reverseRangeByScore(key, min, max);}/*** 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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.opsForZSet().count(key, min, max);}/*** 获取集合大小** @param key* @return*/public Long zSize(String key) {return stringRedisTemplate.opsForZSet().size(key);}/*** 获取集合大小** @param key* @return*/public Long zZCard(String key) {return stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.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 stringRedisTemplate.opsForZSet().unionAndStore(key, otherKey, destKey);}/*** @param key* @param otherKeys* @param destKey* @return*/public Long zUnionAndStore(String key, Collection<String> otherKeys,String destKey) {return stringRedisTemplate.opsForZSet().unionAndStore(key, otherKeys, destKey);}/*** 交集** @param key* @param otherKey* @param destKey* @return*/public Long zIntersectAndStore(String key, String otherKey,String destKey) {return stringRedisTemplate.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 stringRedisTemplate.opsForZSet().intersectAndStore(key, otherKeys,destKey);}/*** @param key* @param options* @return*/public Cursor<TypedTuple<String>> zScan(String key, ScanOptions options) {return stringRedisTemplate.opsForZSet().scan(key, options);}/*** 扫描主键，建议使用** @param patten* @return*/public Set<String> scan(String patten) {Set<String> keys = stringRedisTemplate.execute((RedisCallback<Set<String>>) connection -> {Set<String> result = new HashSet<>();try (Cursor<byte[]> cursor = connection.scan( ScanOptions.scanOptions().match(patten).count(10000).build())) {while (cursor.hasNext()) {result.add(new String(cursor.next()));}}return result;});return keys;}/*** 管道技术，提高性能** @param type* @param values* @return*/public List<Object> lRightPushPipeline(String type, Collection<String> values) {List<Object> results = stringRedisTemplate.executePipelined(new RedisCallback<Object>() {@Overridepublic Object doInRedis(RedisConnection connection) throws DataAccessException {StringRedisConnection stringRedisConn = (StringRedisConnection) connection;//集合转换数组String[] strings = values.toArray(new String[values.size()]);//直接批量发送stringRedisConn.rPush(type, strings);return null;}});return results;}public List<Object> refreshWithPipeline(String futureKey, String topicKey, Collection<String> tasks) {List<Object> result = stringRedisTemplate.executePipelined(new RedisCallback<Object>() {@Nullable@Overridepublic Object doInRedis(RedisConnection redisConnection) throws DataAccessException {StringRedisConnection stringRedisConnection = (StringRedisConnection) redisConnection;String[] allTask = tasks.toArray(new String[tasks.size()]);stringRedisConnection.lPush(topicKey, allTask);stringRedisConnection.zRem(futureKey, allTask);return null;}});return result;}
}

编写测试

/*** 新增排序*/@Testpublic void ranking() {Set<ZSetOperations.TypedTuple<String>> tuples = new HashSet<>();//创建一个zset的hashsetfor (int i = 0; i < 1000; i++) {DefaultTypedTuple<String> tuple = new DefaultTypedTuple<>("张三"+i,1D+i);tuples.add(tuple);}Long num = redis.zAdd("score_rank",tuples);//添加到zset中Set<String> score_rank = redis.zReverseRange("score_rank",0,-1);//排行由大到小，后两个参数[0，-1]是获取所有的元素，也可以获取前十 [0，10]System.out.println(score_rank);System.out.println("受影响行数：" + num);}