如何解决eclipse spark提交远程任务异常

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java.lang.IllegalStateException: Library directory scala-2.11\jars' does not exist; make sure Spark is built.

package my.test;import java.io.IOException;import org.apache.spark.deploy.SparkSubmit;import com.huangyueran.spark.utils.Constant;public class Main {public static void main(String[] args) throws IOException {        System.setProperty("HADOOP_USER_NAME", "hadoop");        System.setProperty("user.name", "hadoop");                //System.setProperty("HADOOP_CONF_DIR", "C:\\eclipse-workspace\\SparkDemo\\src\\main\\resources");        //System.setProperty("HADOOP_CONF_DIR", "C:\\my\\soft\\hadoop\\hadoop-2.8.5\\hadoop-2.8.5\\etc\\hadoop");                        System.out.println("------------"+System.getenv("HADOOP_CONF_DIR"));                System.out.println("------------"+System.getenv("HADOOP_HOME"));                        String appName = "wordCount-yarn-cluster";        String className = "my.test.WordCount";        String path = "C:\\eclipse-workspace\\SparkDemo\\target\\SparkDemo-1.0-SNAPSHOT.jar";        path = Constant.HDFS_FILE_PREX +"/user/zzm/SparkDemo-1.0-SNAPSHOT.jar";                String [] arg0=new String[]{                // "--jars",Constant.HDFS_FILE_PREX +"/user/zzm/spark-lib",                               "--master","yarn",//ip端口                "--deploy-mode","cluster",                 "--name",appName,                 "--class",className,//运行主类main                 //"--spark.yarn.archive",Constant.HDFS_FILE_PREX + "/user/zzm/spark-lib",                 "--executor-memory","2G",                 "--total-executor-cores","10",                 "--executor-cores","2",                 path,//在linux上的包 可改为hdfs上面的路径                // "LR", "20180817111111", "66"//jar中的参数，注意这里的参数写法                };                SparkSubmit.main(arg0);}}

需要配置spark和hadoop得本地环境才能本地提交yarn cluster

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