我正尝试在虚拟机上运行spark流应用程序（该项目将模拟具有一个节点的群集），方法如下： ./spark-submit --master yarn --deploy-mode cluster --driver-memory 3g /home/bigdata/PycharmProjects/pythonProject/venv/test.py 但当它运行时，我会陷入以下情况：

ApplicationMaster host: N/A
     ApplicationMaster RPC port: -1
     queue: default
     start time: 1609436829638
     final status: UNDEFINED
     tracking URL: http://bigdata-VirtualBox:8088/proxy/application_1609416014621_0023/
     user: bigdata
20/12/31 18:47:11 INFO yarn.Client: Application report for application_1609416014621_0023 (state: ACCEPTED)
20/12/31 18:47:12 INFO yarn.Client: Application report for application_1609416014621_0023 (state: ACCEPTED)
20/12/31 18:47:13 INFO yarn.Client: Application report for application_1609416014621_0023 (state: ACCEPTED)
20/12/31 18:47:14 INFO yarn.Client: Application report for application_1609416014621_0023 (state: ACCEPTED)
20/12/31 18:47:15 INFO yarn.Client: Application report for application_1609416014621_0023 (state: ACCEPTED)
20/12/31 18:47:16 INFO yarn.Client: Application report for application_1609416014621_0023 (state: ACCEPTED)
20/12/31 18:47:17 INFO yarn.Client: Application report for application_1609416014621_0023 (state: ACCEPTED)
20/12/31 18:47:18 INFO yarn.Client: Application report for application_1609416014621_0023 (state: ACCEPTED)
20/12/31 18:47:19 INFO yarn.Client: Application report for application_1609416014621_0023 (state: ACCEPTED)
20/12/31 18:47:20 INFO yarn.Client: Application report for application_1609416014621_0023 (state: ACCEPTED)
20/12/31 18:47:21 INFO yarn.Client: Application report for application_1609416014621_0023 (state: ACCEPTED)
20/12/31 18:47:22 INFO yarn.Client: Application report for application_1609416014621_0023 (state: ACCEPTED)
20/12/31 18:47:23 INFO yarn.Client: Application report for application_1609416014621_0023 (state: ACCEPTED)
20/12/31 18:47:24 INFO yarn.Client: Application report for application_1609416014621_0023 (state: ACCEPTED)
20/12/31 18:47:25 INFO yarn.Client: Application report for application_1609416014621_0023 (state: ACCEPTED)
20/12/31 18:47:26 INFO yarn.Client: Application report for application_1609416014621_0023 (state: ACCEPTED)
20/12/31 18:47:27 INFO yarn.Client: Application report for application_1609416014621_0023 (state: ACCEPTED)
20/12/31 18:47:28 INFO yarn.Client: Application report for application_1609416014621_0023 (state: ACCEPTED)
20/12/31 18:47:29 INFO yarn.Client: Application report for application_1609416014621_0023 (state: ACCEPTED)
20/12/31 18:47:30 INFO yarn.Client: Application report for application_1609416014621_0023 (state: ACCEPTED)
20/12/31 18:47:31 INFO yarn.Client: Application report for application_1609416014621_0023 (state: ACCEPTED)
20/12/31 18:47:32 INFO yarn.Client: Application report for application_1609416014621_0023 (state: ACCEPTED)
20/12/31 18:47:33 INFO yarn.Client: Application report for application_1609416014621_0023 (state: ACCEPTED)
20/12/31 18:47:34 INFO yarn.Client: Application report for application_1609416014621_0023 (state: ACCEPTED).

它一直持续到4-5分钟，然后它给了我一个错误：

Failing this attempt.Diagnostics: [2020-12-31 18:59:34.338]Exception from container-launch.
Container id: container_1609416014621_0024_02_000001
Exit code: 13

[2020-12-31 18:59:34.340]Container exited with a non-zero exit code 13. Error file: prelaunch.err.

我刚接触apachespark和hadoop，所以我不知道该怎么处理这种情况。下面是我的test.py代码：

from pyspark import SparkContext
from pyspark.streaming import StreamingContext
from pyspark.sql import Row, SparkSession
import socket

# Singleton di SparkSession

def getSparkSessionInstance(sparkConf):
    if ("sparkSessionSingletonInstance" not in globals()):
        globals()["sparkSessionSingletonInstance"] = SparkSession \
            .builder \
            .config(conf=sparkConf) \
            .getOrCreate()
    return globals()["sparkSessionSingletonInstance"]

# invio dei dati tramite UDP

def send_df(df,serverPort,UDPClient):
    values = [str(t.value) for t in df.select("value").collect()]
    str1 = '-'.join(values)
    msg=str.encode(str1);
    UDPClient.sendto(msg, serverPort)

# informazioni UDP

serverAddressPort = ("127.0.0.1", 3001)
DPClientSocket = socket.socket(family=socket.AF_INET, type=socket.SOCK_DGRAM)

sc = SparkContext("local[2]", "")
sc.setLogLevel("ERROR")
ssc = StreamingContext(sc, 2)
lines = ssc.socketTextStream("localhost", 8000)
splitted_val=lines.flatMap(lambda x:str(x).split('-'));
values=splitted_val.map(lambda x:int(x));

def process(time, rdd):
    print("========= %s =========" % str(time))

    try:
        # ottenimento del Singleton di SparkSession
        spark = getSparkSessionInstance(rdd.context.getConf())
        # Convert RDD[String] to RDD[Row] to DataFrame
        rowRdd = rdd.map(lambda w: Row(value=w))
        DataFrame = spark.createDataFrame(rowRdd)

        # creazione di una vista temporanea
        DataFrame.createOrReplaceTempView("values")

        # Do word count on table using SQL and print it
        valueDataFrame = \
            spark.sql("select value from values")
        valueDataFrame.show()
        send_df(valueDataFrame,serverAddressPort,DPClientSocket);
    except:
        pass

values.foreachRDD(process)
ssc.start();             # Start the computation
ssc.awaitTermination();

我怎样才能解决这个问题？