这是我第一次尝试在oozie中运行包含pyspark脚本的spark操作。请注意，我在本地机器中使用cdh5.13（具有12g ram的vm）和hue来构建工作流。
workflow.xml如下所示：

<workflow-app name="sparkMLpy" xmlns="uri:oozie:workflow:0.5">
    <start to="spark-c06a"/>
    <kill name="Kill">
        <message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
    </kill>
    <action name="spark-c06a">
        <spark xmlns="uri:oozie:spark-action:0.2">
            <job-tracker>${jobTracker}</job-tracker>
            <name-node>${nameNode}</name-node>
            <master>yarn</master>
            <mode>client</mode>
            <name>MySpark</name>
            <jar>sparkml.py</jar>
            <file>/user/cloudera/sparkml.py#sparkml.py</file>
        </spark>
        <ok to="End"/>
        <error to="Kill"/>
    </action>
    <end name="End"/>
</workflow-app>

我还尝试添加了一些选项：

--conf spark.dynamicAllocation.enabled=true 
--conf spark.shuffle.service.enabled=true 
--conf spark.dynamicAllocation.minExecutors=1

这里是pyspark脚本（它几乎什么都不做）：

from pyspark import SparkContext
from pyspark.sql import SQLContext
from pyspark.sql.types import *
sc=SparkContext()
log_txt=sc.textFile("/user/cloudera/CCHS.txt")
header = log_txt.first()
log_txt = log_txt.filter(lambda line: line != header)
temp_var = log_txt.map(lambda k: k.split(","))
c_path_out = "/user/cloudera/output/Frth"
temp_var.saveAsTextFile(c_path_out)

以下是工作流程的色调视图：
工作流程视图
以下是job.properties：

oozie.use.system.libpath=True
send_email=False
dryrun=False
nameNode=hdfs://quickstart.cloudera:8020
jobTracker=quickstart.cloudera:8032
security_enabled=False

当我运行工作流时，它不会给出任何错误，但它会一直运行而没有结果（甚至没有挂起）。下面是一些日志：
日志视图
我尝试添加以下选项：

--conf spark.yarn.appMasterEnv.PYSPARK_PYTHON=/usr/local/bin/python2.7 
--conf spark.yarn.appMasterEnv.PYSPARK_DRIVER_PYTHON=/usr/local/bin/python2.7

它总是被困在跑步中。在验证日志时，我发现以下警告：

Heart beat
2019-01-04 02:05:32,398 [Timer-0] WARN  org.apache.spark.scheduler.cluster.YarnScheduler  - Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
2019-01-04 02:05:47,397 [Timer-0] WARN  org.apache.spark.scheduler.cluster.YarnScheduler  - Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources

你能帮帮我吗！