我有一个关于纱团的问题
我在localhost上运行hdfs namenode、hdfs datanode、yarn，然后在localhost上运行spark master和spark worker，如下所示：

$ jps  
5809 Main  
53730 ResourceManager  
53540 SecondaryNameNode  
53125 NameNode  
56710 Master  
54009 NodeManager  
56809 Worker  
53308 DataNode  
56911 Jps

我可以看到Spark工人是链接到Spark大师扔 http://127.0.0.1:8080 img:spark网络用户界面
[![在此处输入图像描述][1]][1]
但在网络用户界面中 http://127.0.0.1:8088 ，里面什么都没有 Nodes of the cluster 页码
图像：
[![在此处输入图像描述][2]][2]
我的 conf/spark-env.sh 是

export SCALA_HOME="/opt/scala-2.11.8/"  
export JAVA_HOME="/opt/jdk1.8.0_101/"  
export HADOOP_HOME="/opt/hadoop-2.7.3/"  
export HADOOP_CONF_DIR="/opt/hadoop-2.7.3/etc/hadoop/"  
export SPARK_MASTER_IP=127.0.0.1  
export SPARK_LOCAL_DIRS="/opt/spark-2.0.0-bin-hadoop2.7/"  
export SPARK_DRIVER_MEMORY=1G

以及 conf/spark-defaults.conf 是

spark.master                            spark://127.0.0.1:7077  
spark.yarn.submit.waitAppCompletion     false  
spark.yarn.access.namenodes             hdfs://127.0.0.1:8032

以及 yarn-site.xml 是

<configuration>
    <property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
    </property>
    <property>
        <name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>
        <value>org.apache.hadoop.mapred.ShuffleHandler</value>
    </property>
    <property>
        <name>yarn.resourcemanager.hostname</name>
        <value>127.0.0.1</value>
    </property>
    <property>
        <name>yarn.resourcemanager.scheduler.address</name>
        <value>${yarn.resourcemanager.hostname}:8030</value>
    </property>
    <property>
        <name>yarn.resourcemanager.resource-tracker.address</name>
        <value>${yarn.resourcemanager.hostname}:8035</value>
    </property>
    <property>
        <name>yarn.resourcemanager.admin.address</name>
        <value>${yarn.resourcemanager.hostname}:8033</value>
    </property>
    <property>
        <name>yarn.resourcemanager.webapp.address</name>
        <value>${yarn.resourcemanager.hostname}:8088</value>
    </property>
    <property>
        <name>yarn.resourcemanager.address</name>
        <value>${yarn.resourcemanager.hostname}:8032</value>
    </property>
</configuration>

当我提交申请时使用 spark-submit --master yarn --deploy-mode cluster test.py 我可以这样出去

16/10/12 16:19:30 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
16/10/12 16:19:30 INFO client.RMProxy: Connecting to ResourceManager at /127.0.0.1:8032
16/10/12 16:19:30 INFO yarn.Client: Requesting a new application from cluster with 1 NodeManagers
16/10/12 16:19:30 INFO yarn.Client: Verifying our application has not requested more than the maximum memory capability of the cluster (8192 MB per container)
16/10/12 16:19:30 INFO yarn.Client: Will allocate AM container, with 1408 MB memory including 384 MB overhead
16/10/12 16:19:30 INFO yarn.Client: Setting up container launch context for our AM
16/10/12 16:19:30 INFO yarn.Client: Setting up the launch environment for our AM container
16/10/12 16:19:30 INFO yarn.Client: Preparing resources for our AM container
16/10/12 16:19:31 WARN yarn.Client: Neither spark.yarn.jars nor spark.yarn.archive is set, falling back to uploading libraries under SPARK_HOME.
16/10/12 16:19:32 INFO yarn.Client: Uploading resource file:/opt/spark-2.0.0-bin-hadoop2.7/spark-3cdb2435-d6a0-4ce0-a54a-f2849d5f4909/__spark_libs__2140674596658903486.zip -> hdfs://127.0.0.1:9000/user/fuxiuyin/.sparkStaging/application_1476256306830_0002/__spark_libs__2140674596658903486.zip
16/10/12 16:19:33 INFO yarn.Client: Uploading resource file:/home/fuxiuyin/PycharmProjects/spark-test/test.py -> hdfs://127.0.0.1:9000/user/fuxiuyin/.sparkStaging/application_1476256306830_0002/test.py
16/10/12 16:19:33 INFO yarn.Client: Uploading resource file:/opt/spark-2.0.0-bin-hadoop2.7/python/lib/pyspark.zip -> hdfs://127.0.0.1:9000/user/fuxiuyin/.sparkStaging/application_1476256306830_0002/pyspark.zip
16/10/12 16:19:33 INFO yarn.Client: Uploading resource file:/opt/spark-2.0.0-bin-hadoop2.7/python/lib/py4j-0.10.1-src.zip -> hdfs://127.0.0.1:9000/user/fuxiuyin/.sparkStaging/application_1476256306830_0002/py4j-0.10.1-src.zip
16/10/12 16:19:33 INFO yarn.Client: Uploading resource file:/opt/spark-2.0.0-bin-hadoop2.7/spark-3cdb2435-d6a0-4ce0-a54a-f2849d5f4909/__spark_conf__3570291475444079549.zip -> hdfs://127.0.0.1:9000/user/fuxiuyin/.sparkStaging/application_1476256306830_0002/__spark_conf__.zip
16/10/12 16:19:33 INFO spark.SecurityManager: Changing view acls to: fuxiuyin
16/10/12 16:19:33 INFO spark.SecurityManager: Changing modify acls to: fuxiuyin
16/10/12 16:19:33 INFO spark.SecurityManager: Changing view acls groups to:
16/10/12 16:19:33 INFO spark.SecurityManager: Changing modify acls groups to:
16/10/12 16:19:33 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users  with view permissions: Set(fuxiuyin); groups with view permissions: Set(); users  with modify permissions: Set(fuxiuyin); groups with modify permissions: Set()
16/10/12 16:19:33 INFO yarn.Client: Submitting application application_1476256306830_0002 to ResourceManager
16/10/12 16:19:33 INFO impl.YarnClientImpl: Submitted application application_1476256306830_0002
16/10/12 16:19:33 INFO yarn.Client: Application report for application_1476256306830_0002 (state: ACCEPTED)
16/10/12 16:19:33 INFO yarn.Client:
     client token: N/A
     diagnostics: N/A
     ApplicationMaster host: N/A
     ApplicationMaster RPC port: -1
     queue: default
     start time: 1476260373944
     final status: UNDEFINED
     tracking URL: http://localhost:8088/proxy/application_1476256306830_0002/
     user: fuxiuyin
16/10/12 16:19:33 INFO util.ShutdownHookManager: Shutdown hook called
16/10/12 16:19:33 INFO util.ShutdownHookManager: Deleting directory /opt/spark-2.0.0-bin-hadoop2.7/spark-3cdb2435-d6a0-4ce0-a54a-f2849d5f4909

虽然很成功，但在yarn web ui中，该应用程序并非总是以可接受的方式运行

似乎没有spark节点运行此应用程序。
有人能告诉我怎么了吗？
谢谢~