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RedisTemplate 提供了 opsForValue() 方法来操作字符串类型。常用的方法包括：
set(key, value)：将值存入 Redis 中。例如：redisTemplate.opsForValue().set("Stringkey1", "StringValue1");redisTemplate.opsForValue().set("Stringkey2", "StringValue2", 120, TimeUnit.SECONDS); get(key)：获取存储在 Redis 中的字符串值。getAndSet(key, value)：获取旧值并将新值存入 Redis 中。示例代码：
@Testpublic void test1() { init(); redisTemplate.opsForValue().set("Stringkey1", "StringValue1"); redisTemplate.opsForValue().set("Stringkey2", "StringValue2", 120, TimeUnit.SECONDS); System.out.println(redisTemplate.opsForValue().get("Stringkey1")); System.out.println(redisTemplate.opsForValue().get("Stringkey2")); redisTemplate.opsForValue().getAndSet("Stringkey1", "StringValue11"); System.out.println(redisTemplate.opsForValue().get("Stringkey1"));} Redis 的哈希类型适合存储结构化的对象，支持嵌套字段操作。opsForHash() 提供了以下方法：
putAll(key, map)：将映射表存入 Redis 中。put(key, hashKey, value)：存入单个字段。entries(key)：获取整个哈希类型的键值对。get(key, hashKey)：获取哈希类型的单个字段值。示例代码：
@Testpublic void test3() { init(); HashMap map = new HashMap<>(); map.put("id", "1"); map.put("name", "LiuShihao"); map.put("age", "24"); map.put("job", "Police"); redisTemplate.opsForHash().putAll("userHash", map); System.out.println(redisTemplate.opsForHash().entries("userHash")); redisTemplate.opsForHash().put("userHash2", "id", "1"); redisTemplate.opsForHash().put("userHash2", "name", "aaa"); redisTemplate.opsForHash().put("userHash2", "age", "24"); redisTemplate.opsForHash().put("userHash2", "job", "美团外卖"); System.out.println(redisTemplate.opsForHash().get("userHash2", "id")); System.out.println(redisTemplate.opsForHash().get("userHash2", "name")); System.out.println(redisTemplate.opsForHash().get("userHash2", "age")); System.out.println(redisTemplate.opsForHash().get("userHash2", "job")); System.out.println(redisTemplate.opsForHash().keys("userHash2")); System.out.println(redisTemplate.opsForHash().values("userHash2"));} Redis 列表适合用于消息队列或有序数据的存储。opsForList() 提供了以下操作：
leftPushAll(key, array)：向列表中批量插入元素。rightPush(key, value)：向列表中插入单个元素。range(key, start, end)：获取列表中从起始索引到结束索引的元素。index(key, index)：获取列表中指定索引的元素。leftPop(key)：弹出列表的最左边元素。rightPop(key)：弹出列表的最右边元素。示例代码：
@Testpublic void test2() { init(); String[] user1 = new String[]{"1", "zs", "19", "程序员"}; redisTemplate.opsForList().leftPushAll("user1-leftPushAll", user1); redisTemplate.opsForList().rightPushAll("user1-rightPushAll", user1); System.out.println(redisTemplate.opsForList().range("user1-leftPushAll", 0, -1)); System.out.println(redisTemplate.opsForList().range("user1-rightPushAll", 0, -1)); redisTemplate.opsForList().rightPush("user2-rightPush", "1"); redisTemplate.opsForList().rightPush("user2-rightPush", "ls"); redisTemplate.opsForList().rightPush("user2-rightPush", "20"); redisTemplate.opsForList().rightPush("user2-rightPush", "教师"); System.out.println(redisTemplate.opsForList().index("user2-rightPush", 0)); System.out.println(redisTemplate.opsForList().index("user2-rightPush", 1)); System.out.println(redisTemplate.opsForList().index("user2-rightPush", 2)); System.out.println(redisTemplate.opsForList().index("user2-rightPush", 3)); String[] user3 = new String[]{"3", "ww", "28", "警察"}; redisTemplate.opsForList().rightPushAll("user3", user3); System.out.println(redisTemplate.opsForList().range("user3", 0, -1)); System.out.println(redisTemplate.opsForList().rightPop("user3")); System.out.println(redisTemplate.opsForList().range("user3", 0, -1));} Redis 集合类型适合存储不重复的值，支持交集、并集、差集等操作。opsForSet() 提供了以下方法：
add(key, values)：将一个或多个元素添加到集合中。members(key)：获取集合中的所有元素。remove(key, values)：移除集合中的一个或多个元素。scan(key, scanOptions)：遍历集合中的元素。intersect(key1, key2)：计算两个集合的交集。union(key1, key2)：计算两个集合的并集。difference(key1, key2)：计算两个集合的差集。示例代码：
@Testpublic void test4() { init(); String[] citys = new String[]{"北京", "上海", "广州", "深圳"}; redisTemplate.opsForSet().add("citySet", citys); System.out.println(redisTemplate.opsForSet().members("citySet")); redisTemplate.opsForSet().add("citySet", "郑州", "北京", "上海"); System.out.println(redisTemplate.opsForSet().members("citySet")); System.out.println(redisTemplate.opsForSet().remove("citySet", "广州")); System.out.println(redisTemplate.opsForSet().members("citySet")); Cursor citySet = redisTemplate.opsForSet().scan("citySet", ScanOptions.NONE); while (citySet.hasNext()) { System.out.println(citySet.next()); } redisTemplate.opsForSet().add("CitysSet1", "北京", "武汉", "石家庄", "郑州", "西安", "济南"); redisTemplate.opsForSet().add("CitysSet2", "上海", "浙江", "南京", "郑州", "香港", "北京"); redisTemplate.opsForSet().intersectAndStore("CitysSet1", "CitysSet2", "CitysSetIntersectAndStore"); redisTemplate.opsForSet().unionAndStore("CitysSet1", "CitysSet2", "CitysSetUnionAndStore"); redisTemplate.opsForSet().differenceAndStore("CitysSet1", "CitysSet2", "CitysSetDifferenceAndStore"); System.out.println(redisTemplate.opsForSet().members("CitysSetIntersectAndStore")); System.out.println(redisTemplate.opsForSet().members("CitysSetUnionAndStore")); System.out.println(redisTemplate.opsForSet().members("CitysSetDifferenceAndStore"));} Redis 有序集合结合了集合和排序功能，opsForZSet() 提供了以下操作：
add(key, tuple)：将有序集合中的元素及其分数值存入。remove(key, values)：移除有序集合中的一个或多个元素。range(key, start, end)：获取有序集合中按分数值排序的元素。rangeByScore(key, min, max)：根据分数值范围获取有序集合中的元素。rank(key, value)：获取指定元素在有序集合中的排名。size(key)：获取有序集合的成员数。scan(key, scanOptions)：遍历有序集合中的元素。示例代码：
@Testpublic void test5() { ZSetOperations.TypedTuple objectTypedTuple1 = new DefaultTypedTuple<>("肖申克的救赎", 9.7); ZSetOperations.TypedTuple objectTypedTuple2 = new DefaultTypedTuple<>("霸王别姬", 9.6); ZSetOperations.TypedTuple objectTypedTuple3 = new DefaultTypedTuple<>("阿甘正传", 9.5); ZSetOperations.TypedTuple objectTypedTuple4 = new DefaultTypedTuple<>("这个杀手不太冷", 9.4); ZSetOperations.TypedTuple objectTypedTuple5 = new DefaultTypedTuple<>("冷血狂宴 / 帮派2", 4.0); Set > movie = new HashSet<>(); movie.add(objectTypedTuple1); movie.add(objectTypedTuple2); movie.add(objectTypedTuple3); movie.add(objectTypedTuple4); movie.add(objectTypedTuple5); redisTemplate.opsForZSet().add("movie", movie); System.out.println(redisTemplate.opsForZSet().range("movie", 0, -1)); redisTemplate.opsForZSet().add("StudentZSet", "99", 9.9); redisTemplate.opsForZSet().add("StudentZSet", "80", 8.0); redisTemplate.opsForZSet().add("StudentZSet", "69", 6.9); redisTemplate.opsForZSet().add("StudentZSet", "52", 5.4); redisTemplate.opsForZSet().add("StudentZSet", "32", 3.4); redisTemplate.opsForZSet().add("StudentZSet", "23", 1.9); System.out.println(redisTemplate.opsForZSet().range("StudentZSet", 0, -1)); redisTemplate.opsForZSet().remove("StudentZSet", "69"); System.out.println(redisTemplate.opsForZSet().range("StudentZSet", 0, -1)); System.out.println(redisTemplate.opsForZSet().rank("movie", "阿甘正传")); System.out.println(redisTemplate.opsForZSet().rangeByScore("StudentZSet", 3, 8)); System.out.println("分数在0至8区间内的成员个数：" + redisTemplate.opsForZSet().count("StudentZSet", 3, 8)); System.out.println("movie有序集合的成员数：" + redisTemplate.opsForZSet().size("movie")); System.out.println("获取指定成员的score值：" + redisTemplate.opsForZSet().score("movie", "这个杀手不太冷")); Cursor cursor = redisTemplate.opsForZSet().scan("movie", ScanOptions.NONE); while (cursor.hasNext()) { ZSetOperations.TypedTuple next = cursor.next(); System.out.println(next.getValue() + " 的分数值：" + next.getScore()); } } 在应用启动时，确保RedisTemplate 初始化完成。可以通过自定义初始化方法设置序列化器：
@Component@AutoConfigureAfter(RedisAutoConfiguration.class)public class RedisCacheConfig { @Bean public RedisTemplate redisCacheTemplate(LettuceConnectionFactory connectionFactory) { RedisTemplate redisTemplate = new RedisTemplate<>(); RedisSerializer redisSerializer = new StringRedisSerializer(); redisTemplate.setKeySerializer(redisSerializer); redisTemplate.setValueSerializer(redisSerializer); redisTemplate.setHashKeySerializer(redisSerializer); redisTemplate.setHashValueSerializer(redisSerializer); redisTemplate.setConnectionFactory(connectionFactory); System.out.println("RedisTemplate加载..."); return redisTemplate; }} 在需要使用RedisTemplate的地方，通过Autowired注入：