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@ -1,24 +1,18 @@
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package com.ruoyi.common.redis.service;
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import java.util.Collection;
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import java.util.Iterator;
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import java.util.List;
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import java.util.Map;
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import java.util.Set;
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import java.util.concurrent.TimeUnit;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.data.redis.core.BoundSetOperations;
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import org.springframework.data.redis.core.HashOperations;
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import org.springframework.data.redis.core.RedisTemplate;
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import org.springframework.data.redis.core.ValueOperations;
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import org.springframework.data.redis.core.*;
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import org.springframework.stereotype.Component;
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import java.io.IOException;
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import java.util.*;
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import java.util.concurrent.TimeUnit;
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/**
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* spring redis 工具类
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*
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* @author ruoyi
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**/
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@SuppressWarnings(value = { "unchecked", "rawtypes" })
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@Component
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public class RedisService
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{
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@ -31,7 +25,7 @@ public class RedisService
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* @param key 缓存的键值
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* @param value 缓存的值
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*/
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public <T> void setCacheObject(final String key, final T value)
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public <T> void setCacheObject(String key, T value)
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{
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redisTemplate.opsForValue().set(key, value);
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}
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@ -44,7 +38,7 @@ public class RedisService
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* @param timeout 时间
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* @param timeUnit 时间颗粒度
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*/
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public <T> void setCacheObject(final String key, final T value, final Long timeout, final TimeUnit timeUnit)
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public <T> void setCacheObject(String key, T value, Long timeout, TimeUnit timeUnit)
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{
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redisTemplate.opsForValue().set(key, value, timeout, timeUnit);
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}
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@ -56,7 +50,7 @@ public class RedisService
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* @param timeout 超时时间
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* @return true=设置成功;false=设置失败
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*/
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public boolean expire(final String key, final long timeout)
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public boolean expire(String key, long timeout)
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{
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return expire(key, timeout, TimeUnit.SECONDS);
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}
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@ -69,7 +63,7 @@ public class RedisService
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* @param unit 时间单位
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* @return true=设置成功;false=设置失败
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*/
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public boolean expire(final String key, final long timeout, final TimeUnit unit)
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public boolean expire(String key, long timeout, TimeUnit unit)
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{
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return redisTemplate.expire(key, timeout, unit);
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}
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@ -80,7 +74,7 @@ public class RedisService
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* @param key 缓存键值
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* @return 缓存键值对应的数据
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*/
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public <T> T getCacheObject(final String key)
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public <T> T getCacheObject(String key)
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{
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ValueOperations<String, T> operation = redisTemplate.opsForValue();
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return operation.get(key);
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@ -91,7 +85,7 @@ public class RedisService
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*
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* @param key
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*/
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public boolean deleteObject(final String key)
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public boolean deleteObject(String key)
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{
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return redisTemplate.delete(key);
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}
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@ -102,7 +96,7 @@ public class RedisService
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* @param collection 多个对象
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* @return
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*/
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public long deleteObject(final Collection collection)
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public long deleteObject(Collection collection)
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{
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return redisTemplate.delete(collection);
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}
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@ -114,7 +108,7 @@ public class RedisService
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* @param dataList 待缓存的List数据
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* @return 缓存的对象
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*/
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public <T> long setCacheList(final String key, final List<T> dataList)
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public <T> long setCacheList(String key, List<T> dataList)
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{
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Long count = redisTemplate.opsForList().rightPushAll(key, dataList);
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return count == null ? 0 : count;
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@ -126,7 +120,7 @@ public class RedisService
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* @param key 缓存的键值
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* @return 缓存键值对应的数据
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*/
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public <T> List<T> getCacheList(final String key)
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public <T> List<T> getCacheList(String key)
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{
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return redisTemplate.opsForList().range(key, 0, -1);
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}
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@ -138,7 +132,7 @@ public class RedisService
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* @param dataSet 缓存的数据
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* @return 缓存数据的对象
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*/
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public <T> BoundSetOperations<String, T> setCacheSet(final String key, final Set<T> dataSet)
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public <T> BoundSetOperations<String, T> setCacheSet(String key, Set<T> dataSet)
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{
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BoundSetOperations<String, T> setOperation = redisTemplate.boundSetOps(key);
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Iterator<T> it = dataSet.iterator();
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@ -155,7 +149,7 @@ public class RedisService
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* @param key
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* @return
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*/
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public <T> Set<T> getCacheSet(final String key)
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public <T> Set<T> getCacheSet(String key)
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{
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return redisTemplate.opsForSet().members(key);
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}
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@ -166,7 +160,7 @@ public class RedisService
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* @param key
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* @param dataMap
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*/
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public <T> void setCacheMap(final String key, final Map<String, T> dataMap)
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public <T> void setCacheMap(String key, Map<String, T> dataMap)
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{
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if (dataMap != null) {
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redisTemplate.opsForHash().putAll(key, dataMap);
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@ -179,7 +173,7 @@ public class RedisService
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* @param key
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* @return
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*/
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public <T> Map<String, T> getCacheMap(final String key)
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public <T> Map<String, T> getCacheMap(String key)
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{
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return redisTemplate.opsForHash().entries(key);
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}
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@ -191,7 +185,7 @@ public class RedisService
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* @param hKey Hash键
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* @param value 值
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*/
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public <T> void setCacheMapValue(final String key, final String hKey, final T value)
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public <T> void setCacheMapValue(String key, String hKey, T value)
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{
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redisTemplate.opsForHash().put(key, hKey, value);
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}
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@ -203,7 +197,7 @@ public class RedisService
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* @param hKey Hash键
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* @return Hash中的对象
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*/
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public <T> T getCacheMapValue(final String key, final String hKey)
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public <T> T getCacheMapValue(String key, String hKey)
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{
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HashOperations<String, String, T> opsForHash = redisTemplate.opsForHash();
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return opsForHash.get(key, hKey);
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@ -216,7 +210,7 @@ public class RedisService
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* @param hKeys Hash键集合
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* @return Hash对象集合
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*/
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public <T> List<T> getMultiCacheMapValue(final String key, final Collection<Object> hKeys)
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public <T> List<T> getMultiCacheMapValue(String key, Collection<Object> hKeys)
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{
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return redisTemplate.opsForHash().multiGet(key, hKeys);
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}
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@ -227,8 +221,31 @@ public class RedisService
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* @param pattern 字符串前缀
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* @return 对象列表
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*/
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public Collection<String> keys(final String pattern)
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@Deprecated
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public Collection<String> keys(String pattern)
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{
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return redisTemplate.keys(pattern);
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}
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/**
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* 非阻塞方式模糊匹配keys
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*
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* @param matchKey
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* @return
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*/
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public Set<String> scan(String matchKey) {
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Set<String> keys = (Set<String>) redisTemplate.execute((RedisCallback<Set<String>>) connection -> {
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Set<String> keysTmp = new HashSet<>();
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Cursor<byte[]> cursor = connection.scan(new ScanOptions.ScanOptionsBuilder().match(matchKey).count(1000).build());
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while (cursor.hasNext()) {
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keysTmp.add(new String(cursor.next()));
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}
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try {
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cursor.close();
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} catch (IOException e) {
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}
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return keysTmp;
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});
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return keys;
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}
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}
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