SparkException: env SPARK_YARN_APP_JAR is not set

[????]

I have a small program, which I can launch successfully by yarn client with 
yarn-standalon mode. 

the command look like this: 
(javac javac -classpath .:jars/spark-assembly-0.9.1-hadoop2.2.0.jar 
LoadTest.java) 
(jar cvf loadtest.jar LoadTest.class) 
SPARK_JAR=assembly/target/scala-2.10/spark-assembly-0.9.1-hadoop2.2.0.jar 
./bin/spark-class org.apache.spark.deploy.yarn.Client --jar 
/opt/mytest/loadtest.jar --class LoadTest --args yarn-standalone --num-workers 
2 --master-memory 2g --worker-memory 2g --worker-cores 1 

the program LoadTest.java: 
public class LoadTest { 
    static final String USER = "root"; 
    public static void main(String[] args) { 
        System.setProperty("user.name", USER); 
        System.setProperty("HADOOP_USER_NAME", USER); 
        System.setProperty("spark.executor.memory", "7g"); 
        JavaSparkContext sc = new JavaSparkContext(args[0], "LoadTest", 
System.getenv("SPARK_HOME"), JavaSparkContext.jarOfClass(LoadTest.class)); 
        String file = "file:/opt/mytest/123.data"; 
        JavaRDD<String> data1 = sc.textFile(file, 2); 
        long c1=data1.count(); 
        System.out.println("1============"+c1); 
    } 
} 

BUT due to my other pragram's need, I must have it run with command of "java". 
So I add ??environment?? parameter to JavaSparkContext(). Followed is The ERROR 
I get: 
Exception in thread "main" org.apache.spark.SparkException: env 
SPARK_YARN_APP_JAR is not set 
        at 
org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:49)
 
        at 
org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:125) 
        at org.apache.spark.SparkContext.<init>(SparkContext.scala:200) 
        at org.apache.spark.SparkContext.<init>(SparkContext.scala:100) 
        at 
org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:93) 
        at LoadTest.main(LoadTest.java:37) 

the program LoadTest.java: 
public class LoadTest { 

    static final String USER = "root"; 
    public static void main(String[] args) { 
        System.setProperty("user.name", USER); 
        System.setProperty("HADOOP_USER_NAME", USER); 
        System.setProperty("spark.executor.memory", "7g"); 

        Map<String, String> env = new HashMap<String, String>(); 
        env.put("SPARK_YARN_APP_JAR", "file:/opt/mytest/loadtest.jar"); 
        env.put("SPARK_WORKER_INSTANCES", "2" ); 
        env.put("SPARK_WORKER_CORES", "1"); 
        env.put("SPARK_WORKER_MEMORY", "2G"); 
        env.put("SPARK_MASTER_MEMORY", "2G"); 
        env.put("SPARK_YARN_APP_NAME", "LoadTest"); 
        env.put("SPARK_YARN_DIST_ARCHIVES", 
"file:/opt/test/spark-0.9.1-bin-hadoop1/assembly/target/scala-2.10/spark-assembly-0.9.1-hadoop2.2.0.jar");
 
        JavaSparkContext sc = new JavaSparkContext("yarn-client", "LoadTest", 
System.getenv("SPARK_HOME"), JavaSparkContext.jarOfClass(LoadTest.class), env); 
        String file = "file:/opt/mytest/123.dna"; 
        JavaRDD<String> data1 = sc.textFile(file, 2);//.cache(); 

        long c1=data1.count(); 
        System.out.println("1============"+c1); 
    } 
} 

the command: 
javac -classpath .:jars/spark-assembly-0.9.1-hadoop2.2.0.jar LoadTest.java 
jar cvf loadtest.jar LoadTest.class 
nohup java -classpath .:jars/spark-assembly-0.9.1-hadoop2.2.0.jar LoadTest >> 
loadTest.log 2>&1 & 

What did I miss?? Or I did it in wrong way??