51工具盒子StringRedisTemplate使用 {#stringredistemplate使用}
https://docs.spring.io/spring-data/redis/docs/current/reference/html/
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| 1 2 3 4 | xml <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-redis</artifactId> </dependency> |
常用 {#常用}
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| 1 2 3 4 | java private final StringRedisTemplate redisTemplate; Boolean valueback = redisTemplate.opsForValue().setIfAbsent("k", "v", 30, TimeUnit.MINUTES); redisTemplate.opsForValue().set("key", "value"); |
Redis_key {#redis_key}
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| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | java /* -------------------key相关操作--------------------- */ // 是否存在key redisTemplate.hasKey("key"); // 序列化key redisTemplate.dump("key"); // 删除key redisTemplate.delete("key"); // 批量删除key redisTemplate.delete(Arrays.asList("key", "key2")); // 设置过期时间 redisTemplate.expire("key", 30, TimeUnit.SECONDS); // 设置过期时间 redisTemplate.expireAt("key", new Date()); // 将当前数据库的 "key" 移动到给定的数据库 db 当中 redisTemplate.move("key", 2); // 移除 "key" 的过期时间，"key" 将持久保持 redisTemplate.persist("key"); // 返回 "key" 的剩余的过期时间 redisTemplate.getExpire("key"); // 返回 "key" 的剩余的过期时间 redisTemplate.getExpire("key", TimeUnit.SECONDS); // 从当前数据库中随机返回一个 "key" redisTemplate.randomKey(); // 修改 "key" 的名称 redisTemplate.rename("key", "newKey"); // 仅当 "newKey" 不存在时，将 oldKey 改名为 "newKey" redisTemplate.renameIfAbsent("key", "newKey"); // 返回 "key" 所储存的值的类型 redisTemplate.type("key"); |
Redis_string {#redis_string}
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| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 | java /* -------------------string相关操作--------------------- */ // 设置指定 "key" 的值 redisTemplate.opsForValue().set("key", "value"); // 将值 "value" 关联到 "key" ，并将 "key" 的过期时间设为 30 redisTemplate.opsForValue().set("key", "value", 30, TimeUnit.SECONDS); // 用 "value" 参数覆写给定 "key" 所储存的字符串值，从偏移量 1 开始 redisTemplate.opsForValue().set("key", "value", 1); // 只有在 "key" 不存在时设置 "key" 的值 redisTemplate.opsForValue().setIfAbsent("key", "value"); // 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("value" 值,true为1, false为0) redisTemplate.opsForValue().setBit("key", 1, true); // 批量添加 redisTemplate.opsForValue().multiSet(new HashMap<>()); // 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 redisTemplate.opsForValue().multiSetIfAbsent(new HashMap<>()); // 增加(自增长), 负数则为自减 redisTemplate.opsForValue().increment("key", 1); // 通过 delta 递增存储在键下的作为字符串值的浮点数值。 redisTemplate.opsForValue().increment("key", 1.00); // 追加到末尾 redisTemplate.opsForValue().append("key", "value"); // 获取字符串的长度 redisTemplate.opsForValue().size("key"); // 获取指定 "key" 的值 redisTemplate.opsForValue().get("key"); // 返回 "key" 中字符串值的子字符 redisTemplate.opsForValue().get("key", 4, 9); // 将给定 "key" 的值设为 "value" ，并返回 "key" 的旧值(old "value") 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) redisTemplate.opsForValue().getBit("key", 1); // 批量获取 redisTemplate.opsForValue().multiGet(Arrays.asList("key1", "key2", "key3")); |
Redis_hash {#redis_hash}
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| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | java /* -------------------hash相关操作------------------------- */ // 获取存储在哈希表中指定字段的值 redisTemplate.opsForHash().get("key", "hashKey"); // 获取哈希表中字段的数量 redisTemplate.opsForHash().size("key"); // 获取所有哈希表中的字段 redisTemplate.opsForHash().keys("key"); // 获取哈希表中所有值 redisTemplate.opsForHash().values("key"); // 获取所有给定字段的值 redisTemplate.opsForHash().entries("key"); // 获取所有给定字段的值 redisTemplate.opsForHash().multiGet("key", Arrays.asList("hashKey1", "hashKey2")); redisTemplate.opsForHash().put("key", "hashKey", "value"); redisTemplate.opsForHash().putAll("key", new HashMap<>()); // 仅当hashKey不存在时才设置 redisTemplate.opsForHash().putIfAbsent("key", "hashKey", "value"); // 删除一个或多个哈希表字段 redisTemplate.opsForHash().delete("key", Arrays.asList("key1", "key2", "key3")); redisTemplate.opsForHash().delete("key", "hashKey1", "hashKey2"); // 查看哈希表 "key" 中，指定的字段是否存在 redisTemplate.opsForHash().hasKey("key", "hashKey"); // 为哈希表 "key" 中的指定字段的整数值加上增量 increment redisTemplate.opsForHash().increment("key", "hashKey", 1); redisTemplate.opsForHash().increment("key", "hashKey", 1.00); // 迭代哈希表中的键值对 redisTemplate.opsForHash().scan("key", ScanOptions.scanOptions().build()); |
Redis_list {#redis_list}
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| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 | java /* ------------------------list相关操作---------------------------- */ redisTemplate.opsForList().size("key"); // 通过索引获取列表中的元素 redisTemplate.opsForList().index("key", 0); // 获取列表指定范围内的元素 1. 4 开始位置, 0是开始位置 2. 9 结束位置, -1返回所有 redisTemplate.opsForList().range("key", 4, 9); // 存储在list头部 redisTemplate.opsForList().leftPush("key", "value"); redisTemplate.opsForList().leftPushAll("key", Arrays.asList("value1", "value2")); redisTemplate.opsForList().leftPushAll("key", "value1", "value2"); redisTemplate.opsForList().leftPushIfPresent("key", "value"); // 如果pivot存在，在pivot左边添加 redisTemplate.opsForList().leftPush("key", "pivot", "value"); redisTemplate.opsForList().rightPush("key", "value"); redisTemplate.opsForList().rightPushAll("key", Arrays.asList("value1", "value2")); redisTemplate.opsForList().rightPushAll("key", "value1", "value2"); redisTemplate.opsForList().rightPushIfPresent("key", "value"); // 如果pivot存在，在pivot右边添加 redisTemplate.opsForList().rightPush("key", "pivot", "value"); // 通过索引设置列表元素的值 redisTemplate.opsForList().set("key", 0, "value"); // 移出并获取列表的第一个元素 redisTemplate.opsForList().leftPop("key"); // 移出并获取列表的第一个元素 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 redisTemplate.opsForList().leftPop("key", 30, TimeUnit.SECONDS); // 移除并获取列表最后一个元素 redisTemplate.opsForList().rightPop("key"); // 移出并获取列表最后一个元素，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 redisTemplate.opsForList().rightPop("key", 30, TimeUnit.SECONDS); // 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 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 redisTemplate.opsForList().rightPopAndLeftPush("sourceKey", "destinationKey", 30, TimeUnit.SECONDS); // 删除集合中值等于value的元素 redisTemplate.opsForList().remove("key", 1, "value"); // 裁剪list redisTemplate.opsForList().trim("key", 4, 9); |
Redis_set {#redis_set}
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| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | java /* --------------------set相关操作-------------------------- */ redisTemplate.opsForSet().size("key"); // set添加元素 redisTemplate.opsForSet().add("key", "value1", "value2"); // set移除元素 redisTemplate.opsForSet().remove("key", "value1", "value2"); // 移除并返回集合的一个随机元素 redisTemplate.opsForSet().pop("key"); // 将元素value从一个集合移到另一个集合 redisTemplate.opsForSet().move("key", "value", "destKey"); // 判断集合是否包含value redisTemplate.opsForSet().isMember("key", "value"); // 获取集合所有元素 redisTemplate.opsForSet().members("key"); // 随机获取集合中的一个元素 redisTemplate.opsForSet().randomMember("key"); // 随机获取集合中count个元素 redisTemplate.opsForSet().randomMembers("key", 1); // 随机获取集合中count个元素并且去除重复的 redisTemplate.opsForSet().distinctRandomMembers("key", 1); // 迭代 redisTemplate.opsForSet().scan("key", ScanOptions.scanOptions().build()); // 获取两个集合的交集 redisTemplate.opsForSet().intersect("key", "otherKey"); // 获取key集合与多个集合的交集 redisTemplate.opsForSet().intersect("key", Arrays.asList("key1", "key2", "key3")); // key集合与otherKey集合的交集存储到destKey集合中 redisTemplate.opsForSet().intersectAndStore("key", "otherKey", "destKey"); // key集合与多个集合的交集存储到destKey集合中 redisTemplate.opsForSet().intersectAndStore("key", Arrays.asList("key1", "key2", "key3"), "destKey"); // 获取两个集合的并集 redisTemplate.opsForSet().union("key", "otherKey"); // 获取key集合与多个集合的并集 redisTemplate.opsForSet().union("key", Arrays.asList("key1", "key2", "key3")); // key集合与otherKey集合的并集存储到destKey中 redisTemplate.opsForSet().unionAndStore("key", "otherKey", "destKey"); // key集合与多个集合的并集存储到destKey中 redisTemplate.opsForSet().unionAndStore("key", Arrays.asList("key1", "key2", "key3"), "destKey"); // 获取两个集合的差集 redisTemplate.opsForSet().difference("key", "otherKey"); // 获取key集合与多个集合的差集 redisTemplate.opsForSet().difference("key", Arrays.asList("key1", "key2", "key3")); // key集合与otherKey集合的差集存储到destKey中 redisTemplate.opsForSet().differenceAndStore("key", "otherKey", "destKey"); // key集合与多个集合的差集存储到destKey中 redisTemplate.opsForSet().differenceAndStore("key", Arrays.asList("key1", "key2", "key3"), "destKey"); |
Redis_zSet {#redis_zset}
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| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | java /*------------------zSet相关操作--------------------------------*/ // 获取集合大小 redisTemplate.opsForZSet().size("key"); // 获取集合大小 redisTemplate.opsForZSet().zCard("key"); // 获取集合中value元素的score值 redisTemplate.opsForZSet().score("key", "value"); // 添加元素,有序集合是按照元素的score值由小到大排列 redisTemplate.opsForZSet().add("key", "value", 1.00); Set<ZSetOperations.TypedTuple<String>> typedTupleSet = Set.of(ZSetOperations.TypedTuple.of("value", 2.00), ZSetOperations.TypedTuple.of("value1", 3.00)); redisTemplate.opsForZSet().add("key", typedTupleSet); redisTemplate.opsForZSet().remove("key", "value1", "value2"); // 移除指定索引位置的成员 redisTemplate.opsForZSet().removeRange("key", 1, 3); // 根据指定的score值的范围来移除成员 redisTemplate.opsForZSet().removeRangeByScore("key", 1.00, 2.00); // 增加元素的score值，并返回增加后的值 redisTemplate.opsForZSet().incrementScore("key", "value", 1.00); // 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 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 redisTemplate.opsForZSet().reverseRank("key", "value"); // 获取集合的元素, 从小到大排序 redisTemplate.opsForZSet().range("key", 1, 2); // 获取集合元素, 并且把score值也获取 redisTemplate.opsForZSet().rangeWithScores("key", 1, 2); // 根据Score值查询集合元素 redisTemplate.opsForZSet().rangeByScore("key", 1.00, 2.00); // 根据Score值查询集合元素, 从小到大排序 redisTemplate.opsForZSet().rangeByScoreWithScores("key", 1.00, 2.00); redisTemplate.opsForZSet().rangeByScoreWithScores("key", 1.00, 2.00, 1, 3); // 获取集合的元素, 从大到小排序 redisTemplate.opsForZSet().reverseRange("key", 1, 3); // 获取集合的元素, 从大到小排序, 并返回score值 redisTemplate.opsForZSet().reverseRangeWithScores("key", 1, 3); // 根据Score值查询集合元素, 从大到小排序 redisTemplate.opsForZSet().reverseRangeByScore("key", 1.00, 2.00); // 根据Score值查询集合元素, 从大到小排序 redisTemplate.opsForZSet().reverseRangeByScoreWithScores("key", 1.00, 2.00); redisTemplate.opsForZSet().reverseRangeByScore("key", 1.00, 2.00, 1, 3); // 根据score值获取集合元素数量 redisTemplate.opsForZSet().count("key", 1.00, 2.00); // 获取key和otherKey的并集并存储在destKey中 redisTemplate.opsForZSet().unionAndStore("key", "otherKey", "destKey"); redisTemplate.opsForZSet().unionAndStore("key", Arrays.asList("key1", "key2", "key3"), "destKey"); // 交集 redisTemplate.opsForZSet().intersectAndStore("key", "otherKey", "destKey"); redisTemplate.opsForZSet().intersectAndStore("key", Arrays.asList("key1", "key2", "key3"), "destKey"); redisTemplate.opsForZSet().scan("key", ScanOptions.scanOptions().build()); |
RedisUtil全 {#redisutil全}
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1221 1222 1223 1224 1225 1226 1227 1228 1229 1230 1231 1232 1233 1234 1235 1236 1237 1238 1239 1240 1241 1242 1243 1244 1245 1246 1247 1248 1249 1250 1251 1252 1253 1254 1255 1256 1257 1258 1259 1260 1261 1262 1263 1264 1265 1266 1267 1268 1269 1270 1271 1272 1273 1274 1275 1276 1277 1278 1279 1280 1281 1282 1283 1284 1285 1286 1287 1288 1289 1290 1291 1292 1293 1294 1295 1296 1297 1298 1299 1300 1301 1302 1303 1304 1305 1306 1307 1308 1309 1310 1311 1312 1313 1314 1315 1316 1317 | java import lombok.AllArgsConstructor; 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; /** * 比RedisService的api更多些 */ @Component @AllArgsConstructor public class RedisUtil { public final StringRedisTemplate 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 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 * @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 * @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); } } |
