springboot保存redis键值对出现乱码\xac\xed\x00\x05t\x00
当使用RedisTemplate进行操作时,发现保存的key带有特殊字符。原因是RedisTemplate默认处理key为对象,改为StringRedisTemplate后,能正确保存字符串key,避免了编码问题。
@SpringBootTest class RedisApplicationTests { @Autowired private RedisTemplate redisTemplate; @Test void setOps() { ValueOperations ops = redisTemplate.opsForValue(); ops.set("alaf","aheiluxing"); }
127.0.0.1:6379> keys * 1) "\xe6\xac\xa7\xe5\x86\x85\xe7\x9a\x84\xe6\x89\x8b" 2) "\xac\xed\x00\x05t\x00\x06myname"
通过上述方式保存key就会生成带有 \xac\xed\x00\x05t\x00的key,这是因为RedisTemplate创建的key是一个对象,我们创建的时候key值通常是一个字符串,所以只要把redisTemplate类型改为StringRedisTemplate就行了
@SpringBootTest class RedisApplicationTests { @Autowired private StringRedisTemplate redisTemplate; //此处的RedisTemplate改为了StringRedisTemplate @Test void setOps() { ValueOperations ops = redisTemplate.opsForValue(); ops.set("alaf","aheiluxing"); }
附一个RedisUtils类:
import org.springframework.beans.factory.annotation.Autowired; import org.springframework.dao.DataAccessException; import org.springframework.data.redis.connection.RedisConnection; import org.springframework.data.redis.core.*; import org.springframework.stereotype.Component; import java.util.*; import java.util.concurrent.TimeUnit; /** * @author Administrator */ @Component public class RedisUtils { @Autowired private StringRedisTemplate redisTemplate; public RedisUtil(StringRedisTemplate redisTemplate) { this.redisTemplate = redisTemplate; } /** * 写入缓存 * * @param key redis键 * @param value redis值 * @return 是否成功 */ public boolean set(final String key, String value) { boolean result = false; try { ValueOperations<String, String> operations = redisTemplate.opsForValue(); operations.set(key, value); result = true; } catch (Exception e) { e.printStackTrace(); } return result; } /** * 写入缓存设置时效时间 * * @param key redis键 * @param value redis值 * @return 是否成功 */ public boolean set(final String key, String value, Long expireTime) { boolean result = false; try { ValueOperations<String, String> operations = redisTemplate.opsForValue(); operations.set(key, value); redisTemplate.expire(key, expireTime, TimeUnit.SECONDS); result = true; } catch (Exception e) { e.printStackTrace(); } return result; } /** * 批量删除对应的键值对 * * @param keys Redis键名数组 */ public void removeByKeys(final String... keys) { for (String key : keys) { remove(key); } } /** * 批量删除Redis key * * @param pattern 键名包含字符串(如:myKey*) */ public void removePattern(final String pattern) { Set<String> keys = redisTemplate.keys(pattern); if (keys != null && keys.size() > 0) { redisTemplate.delete(keys); } } /** * 删除key,也删除对应的value * * @param key Redis键名 */ public void remove(final String key) { if (exists(key)) { redisTemplate.delete(key); } } /** * 判断缓存中是否有对应的value * * @param key Redis键名 * @return 是否存在 */ public Boolean exists(final String key) { return redisTemplate.hasKey(key); } /** * 读取缓存 * * @param key Redis键名 * @return 是否存在 */ public String get(final String key) { String result = null; ValueOperations<String, String> operations = redisTemplate.opsForValue(); result = operations.get(key); return result; } /** * 哈希 添加 * * @param key Redis键 * @param hashKey 哈希键 * @param value 哈希值 */ public void hmSet(String key, String hashKey, String value) { HashOperations<String, String, String> hash = redisTemplate.opsForHash(); hash.put(key, hashKey, value); } /** * 哈希获取数据 * * @param key Redis键 * @param hashKey 哈希键 * @return 哈希值 */ public String hmGet(String key, String hashKey) { HashOperations<String, String, String> hash = redisTemplate.opsForHash(); return hash.get(key, hashKey); } /** * 判断hash是否存在键 * * @param key Redis键 * @param hashKey 哈希键 * @return 是否存在 */ public boolean hmHasKey(String key, String hashKey) { HashOperations<String, String, String> hash = redisTemplate.opsForHash(); return hash.hasKey(key, hashKey); } /** * 删除hash中一条或多条数据 * * @param key Redis键 * @param hashKeys 哈希键名数组 * @return 删除数量 */ public long hmRemove(String key, String... hashKeys) { HashOperations<String, String, String> hash = redisTemplate.opsForHash(); return hash.delete(key, hashKeys); } /** * 获取所有哈希键值对 * * @param key Redis键名 * @return 哈希Map */ public Map<String, String> hashMapGet(String key) { HashOperations<String, String, String> hash = redisTemplate.opsForHash(); return hash.entries(key); } /** * 保存Map到哈希 * * @param key Redis键名 * @param map 哈希Map */ public void hashMapSet(String key, Map<String, String> map) { HashOperations<String, String, String> hash = redisTemplate.opsForHash(); hash.putAll(key, map); } /** * 列表-追加值 * * @param key Redis键名 * @param value 列表值 */ public void lPush(String key, String value) { ListOperations<String, String> list = redisTemplate.opsForList(); list.rightPush(key, value); } /** * 列表-获取指定范围数据 * * @param key Redis键名 * @param start 开始行号 * @param end 结束行号 * @return 列表 */ public List<String> lRange(String key, long start, long end) { ListOperations<String, String> list = redisTemplate.opsForList(); return list.range(key, start, end); } /** * 集合添加 * * @param key Redis键名 * @param value 值 */ public void add(String key, String value) { SetOperations<String, String> set = redisTemplate.opsForSet(); set.add(key, value); } /** * 集合获取 * * @param key Redis键名 * @return 集合 */ public Set<String> setMembers(String key) { SetOperations<String, String> set = redisTemplate.opsForSet(); return set.members(key); } /** * 有序集合添加 * * @param key Redis键名 * @param value 值 * @param score 排序号 */ public void zAdd(String key, String value, double score) { ZSetOperations<String, String> zSet = redisTemplate.opsForZSet(); zSet.add(key, value, score); } /** * 有序集合-获取指定范围 * * @param key Redis键 * @param startScore 开始序号 * @param endScore 结束序号 * @return 集合 */ public Set<String> rangeByScore(String key, double startScore, double endScore) { ZSetOperations<String, String> zset = redisTemplate.opsForZSet(); return zset.rangeByScore(key, startScore, endScore); } /** * 模糊查询Redis键名 * * @param pattern 键名包含字符串(如:myKey*) * @return 集合 */ public Set<String> keys(String pattern) { return redisTemplate.keys(pattern); } /** * 获取多个hashMap * * @param keySet * @return List<Map < String, String>> hashMap列表 */ public List hashMapList(Collection<String> keySet) { return redisTemplate.executePipelined(new SessionCallback<String>() { @Override public <K, V> String execute(RedisOperations<K, V> operations) throws DataAccessException { HashOperations hashOperations = operations.opsForHash(); for (String key : keySet) { hashOperations.entries(key); } return null; } }); } /** * 保存多个哈希表(HashMap)(Redis键名不可以重复) * * @param dataMap Map<Redis键名,Map<哈希键,哈希值>> */ public void batchHashMapSet(Map<String, Map<String, String>> dataMap) { // 设置5秒超时时间 redisTemplate.expire("max", 25, TimeUnit.SECONDS); redisTemplate.executePipelined(new RedisCallback<List<Map<String, String>>>() { @Override public List<Map<String, String>> doInRedis(RedisConnection connection) throws DataAccessException { Iterator<Map.Entry<String, Map<String, String>>> iterator = dataMap.entrySet().iterator(); while (iterator.hasNext()) { Map.Entry<String, Map<String, String>> hash = iterator.next(); // 哈希名,即表名 byte[] hashName = redisTemplate.getStringSerializer().serialize(hash.getKey()); Map<String, String> hashValues = hash.getValue(); Iterator<Map.Entry<String, String>> it = hashValues.entrySet().iterator(); // 将元素序列化后缓存,即表的多条哈希记录 Map<byte[], byte[]> hashes = new HashMap<byte[], byte[]>(); while (it.hasNext()) { // hash中一条key-value记录 Map.Entry<String, String> entry = it.next(); byte[] key = redisTemplate.getStringSerializer().serialize(entry.getKey()); byte[] value = redisTemplate.getStringSerializer().serialize(entry.getValue()); hashes.put(key, value); } // 批量保存 connection.hMSet(hashName, hashes); } return null; } }); } /** * 保存多个哈希表(HashMap)列表(哈希map的Redis键名不能重复) * * @param list Map<Redis键名,Map<哈希键,哈希值>> * @see RedisUtils*.batchHashMapSet()* */ public void batchHashMapListSet(List<Map<String, Map<String, String>>> list) { // 设置5秒超时时间 redisTemplate.expire("max", 25, TimeUnit.SECONDS); redisTemplate.executePipelined(new RedisCallback<List<Map<String, String>>>() { @Override public List<Map<String, String>> doInRedis(RedisConnection connection) throws DataAccessException { for (Map<String, Map<String, String>> dataMap : list) { Iterator<Map.Entry<String, Map<String, String>>> iterator = dataMap.entrySet().iterator(); while (iterator.hasNext()) { Map.Entry<String, Map<String, String>> hash = iterator.next(); // 哈希名,即表名 byte[] hashName = redisTemplate.getStringSerializer().serialize(hash.getKey()); Map<String, String> hashValues = hash.getValue(); Iterator<Map.Entry<String, String>> it = hashValues.entrySet().iterator(); // 将元素序列化后缓存,即表的多条哈希记录 Map<byte[], byte[]> hashes = new HashMap<byte[], byte[]>(); while (it.hasNext()) { // hash中一条key-value记录 Map.Entry<String, String> entry = it.next(); byte[] key = redisTemplate.getStringSerializer().serialize(entry.getKey()); byte[] value = redisTemplate.getStringSerializer().serialize(entry.getValue()); hashes.put(key, value); } // 批量保存 connection.hMSet(hashName, hashes); } } return null; } }); } /** * 消息的发布 * @param channel 键 * @param msg 值 */ public void publish(String channel, String msg) { redisTemplate.convertAndSend(channel, msg); } }