Spark job submitting

Configuration config = new Configuration();
config.set("hdp.version", "2.2.4.2-2");

// fill properties from core-site.xml and yarn-site.xml to read data from hdfs
fillProperties(config, getPropXmlAsMap("/etc/hadoop/conf/core-site.xml"));
fillProperties(config, getPropXmlAsMap("/etc/hadoop/conf/yarn-site.xml"));

// spark configuration
SparkConf sparkConf = new SparkConf();
sparkConf.setMaster("yarn-cluster");
sparkConf.set("hdp.version", "2.2.4.2-2");

// run args
List<String> runArgs = Arrays.asList(
   "--num-executors", "2",
   "--executor-memory", "300M",
   "--executor-cores", "1",
   "--class", "job_class_name",
   "--addJars", "hdfs://host:port/user/hdfs/spark-assembly-1.2.1.2.2.4.2-2-hadoop2.6.0.2.2.4.2-2.jar", // previously uploaded
   "--jar", "hdfs://host:port/user/hdfs/application.jar",
   "--arg", ".." // arg that passed to main method
);

// args and run
ClientArguments args = new ClientArguments(runArgs.toArray(new String[runArgs.size()]), sparkConf);
Client client = new Client(args, config, sparkConf);
ApplicationId applicationId = client.submitApplication();