Java调用Redis集群代码及问题解决

<dependency>  <groupId>org.apache.commons</groupId>  <artifactId>commons-pool2</artifactId>  <version>2.6.2</version></dependency> <dependency>  <groupId>redis.clients</groupId>  <artifactId>jedis</artifactId>  <version>3.0.1</version></dependency> <dependency>  <groupId>org.slf4j</groupId>  <artifactId>slf4j-api</artifactId>  <version>1.7.26</version></dependency> <dependency>  <groupId>org.slf4j</groupId>  <artifactId>slf4j-simple</artifactId>  <version>1.7.26</version>  <scope>test</scope></dependency>

package Main;import java.io.IOException;import java.util.LinkedHashSet;import java.util.Set;import redis.clients.jedis.HostAndPort;import redis.clients.jedis.Jedis;import redis.clients.jedis.JedisCluster;import redis.clients.jedis.JedisPoolConfig;@SuppressWarnings("all")public class RedisMain {   public static void main(String[] args) {     JedisCluster cluster =null;     try {               Set<HostAndPort> nodes = new LinkedHashSet<HostAndPort>();        //一般选用slaveof从IP+端口进行增删改查，不用master        nodes.add(new HostAndPort("外网IP", 7003));        nodes.add(new HostAndPort("外网", 7004));        nodes.add(new HostAndPort("外网IP", 7004));        // Jedis连接池配置        JedisPoolConfig jedisPoolConfig = new JedisPoolConfig();        // 最大空闲连接数, 默认8个        jedisPoolConfig.setMaxIdle(100);        // 最大连接数, 默认8个        jedisPoolConfig.setMaxTotal(500);        //最小空闲连接数, 默认0        jedisPoolConfig.setMinIdle(0);        // 获取连接时的最大等待毫秒数(如果设置为阻塞时BlockWhenExhausted),如果超时就抛异常, 小于零:阻塞不确定的时间, 默认-1        jedisPoolConfig.setMaxWaitMillis(2000); // 设置2秒        //对拿到的connection进行validateObject校验        jedisPoolConfig.setTestOnBorrow(true);        //未设置auth Password        JedisCluster jedis = new JedisCluster(nodes, jedisPoolConfig);        //设置auth Password        //JedisCluster jedis = new JedisCluster(nodes,5000,3000,10,{auth_password}, new JedisPoolConfig());        System.out.println(jedis.get("mykey"));            }catch(Exception e) {       e.printStackTrace();     }finally {       if(null !=cluster)         cluster.close();     }   }}