Redis集群是没法执行批量操作命令的，如mget，pipeline等。这是因为redis将集群划分为16383个哈希槽，不同的key会划分到不同的槽中。但是，Jedis客户端提供了计算key的slot方法，已经slot和节点之间的映射关系，通过这两个数据，就可以计算出每个key所在的节点，然后使用pipeline获取数据。具体代码如下：
初始化 JedisCluster类
@Configuration
public class JedisClusterConfig {
@Value("${spring.redis.cluster.nodes}")
private String clusterNodes;
@Value("${spring.redis.cache.commandTimeout}")
private Integer commandTimeout;
@Bean
public JedisCluster getJedisCluster() {
String[] serverArray = clusterNodes.split(",");
Set<HostAndPort> nodes = new HashSet<>();
for (String ipPort : serverArray) {
String[] ipPortPair = ipPort.split(":");
nodes.add(new HostAndPort(ipPortPair[0].trim(), Integer.valueOf(ipPortPair[1].trim())));
}
return new JedisCluster(nodes, commandTimeout);
}
}
工具类 JedisClusterUtil
@Component
public class JedisClusterUtil {
@Autowired
private JedisCluster jedisCluster;
@Resource(name = "redisTemplate4Json")
protected RedisTemplate<String, Object> redisTemplate;
public List<Object> batchZRange(List<String> keys) {
List<Object> resList = new ArrayList<>();
if (keys == null || keys.size() == 0) {
return resList;
}
if (keys.size() == 1) {
BoundZSetOperations<String, Object> operations = redisTemplate.boundZSetOps(keys.get(0));
Set<Object> set = operations.reverseRange(0, 0);
resList.add(set.iterator().next());
return resList;
}
Map<JedisPool, List<String>> jedisPoolMap = getJedisPool(keys);
List<String> keyList;
JedisPool currentJedisPool = null;
Pipeline currentPipeline;
List<Object> res = new ArrayList<>();
Map<String, Object> resultMap = new HashMap<>();
//执行
for (Map.Entry<JedisPool, List<String>> entry : jedisPoolMap.entrySet()) {
Jedis jedis = null;
try {
currentJedisPool = entry.getKey();
keyList = entry.getValue();
//获取pipeline
jedis = currentJedisPool.getResource();
currentPipeline = jedis.pipelined();
for (String key : keyList) {
currentPipeline.zrevrange(key, 0, 0);
}
//从pipeline中获取结果
res = currentPipeline.syncAndReturnAll();
currentPipeline.close();
for (int i = 0; i < keyList.size(); i++) {
if (null == res.get(i)) {
resultMap.put(keyList.get(i), null);
} else {
Set<Object> set = (Set<Object>) res.get(i);
if (null == set || set.isEmpty()) {
resultMap.put(keyList.get(i), null);
} else {
byte[] byteStr = set.iterator().next().toString().getBytes();
Object obj = redisTemplate.getDefaultSerializer().deserialize(byteStr);
resultMap.put(keyList.get(i), obj);
}
}
}
} catch (Exception e) {
e.printStackTrace();
} finally {
returnResource(jedis, currentJedisPool);
}
}
resList = sortList(keys, resultMap);
return resList;
}
public List<Object> batchGet(List<String> keys){
List<Object> resList = new ArrayList<>();
if (keys == null || keys.size() == 0) {
return resList;
}
if (keys.size() == 1) {
BoundValueOperations<String, Object> operations = redisTemplate.boundValueOps(keys.get(0));
resList.add(operations.get());
return resList;
}
Map<JedisPool, List<String>> jedisPoolMap = getJedisPool(keys);
List<String> keyList;
JedisPool currentJedisPool = null;
Pipeline currentPipeline;
List<Object> res = new ArrayList<>();
Map<String, Object> resultMap = new HashMap<>();
for (Map.Entry<JedisPool, List<String>> entry : jedisPoolMap.entrySet()) {
Jedis jedis = null;
try {
currentJedisPool = entry.getKey();
keyList = entry.getValue();
//获取pipeline
jedis = currentJedisPool.getResource();
currentPipeline = jedis.pipelined();
for (String key : keyList) {
currentPipeline.get(key);
}
//从pipeline中获取结果
res = currentPipeline.syncAndReturnAll();
currentPipeline.close();
for (int i = 0; i < keyList.size(); i++) {
if (null == res.get(i)) {
resultMap.put(keyList.get(i), null);
} else {
byte[] byteStr = keyList.get(i).toString().getBytes();
Object obj = redisTemplate.getDefaultSerializer().deserialize(byteStr);
resultMap.put(keyList.get(i), obj);
}
}
} catch (Exception e) {
e.printStackTrace();
} finally {
returnResource(jedis, currentJedisPool);
}
}
resList = sortList(keys, resultMap);
return resList;
}
private Map<JedisPool, List<String>> getJedisPool(List<String> keys){
//JedisCluster继承了BinaryJedisCluster
//BinaryJedisCluster的JedisClusterConnectionHandler属性
//里面有JedisClusterInfoCache，根据这一条继承链，可以获取到JedisClusterInfoCache
//从而获取slot和JedisPool直接的映射
MetaObject metaObject = SystemMetaObject.forObject(jedisCluster);
JedisClusterInfoCache cache = (JedisClusterInfoCache) metaObject.getValue("connectionHandler.cache");
//保存地址+端口和命令的映射
Map<JedisPool, List<String>> jedisPoolMap = new HashMap<>();
JedisPool currentJedisPool = null;
List<String> keyList;
for (String key : keys) {
//计算哈希槽
int crc = JedisClusterCRC16.getSlot(key);
//通过哈希槽获取节点的连接
currentJedisPool = cache.getSlotPool(crc);
//由于JedisPool作为value保存在JedisClusterInfoCache中的一个map对象中，每个节点的
//JedisPool在map的初始化阶段就是确定的和唯一的，所以获取到的每个节点的JedisPool都是一样
//的，可以作为map的key
if (jedisPoolMap.containsKey(currentJedisPool)) {
jedisPoolMap.get(currentJedisPool).add(key);
} else {
keyList = new ArrayList<>();
keyList.add(key);
jedisPoolMap.put(currentJedisPool, keyList);
}
}
return jedisPoolMap;
}
private List<Object> sortList(List<String> keys, Map<String, Object> params) {
List<Object> resultList = new ArrayList<>();
Iterator<String> it = keys.iterator();
while (it.hasNext()) {
String key = it.next();
resultList.add(params.get(key));
}
return resultList;
}
public void returnResource(Jedis jedis, JedisPool jedisPool) {
if (jedis != null && jedisPool != null) {
jedisPool.returnResource(jedis);
}
}注意：一定要完成后释放 jedis 资源 不然会造成卡死现象
到此这篇关于redis 集群批量操作实现的文章就介绍到这了,更多相关redis 集群批量操作内容请搜索编程网以前的文章或继续浏览下面的相关文章希望大家以后多多支持编程网！
