我有一个安装了 spark 的 docker 容器，我正在尝试使用 marathon 将作业提交到其他集群上的纱线。docker 容器具有 yarn 和 hadoop conf dir 的导出值，yarn 文件还包含 emr 主 ip 的正确地址，但我不确定它从哪里作为本地主机？
ENV YARN_CONF_DIR="/opt/yarn-site.xml"
ENV HADOOP_CONF_DIR="/opt/spark-2.2.0-bin-hadoop2.6"
纱线.xml
<property>
<name>yarn.resourcemanager.hostname</name>
<value>xx.xxx.x.xx</value>
</property>
命令：
"cmd": "/opt/spark-2.2.0-bin-hadoop2.6/bin/spark-submit --verbose \n --name emr_external_mpv_streaming \n --deploy-mode client \n --master yarn\n --conf spark.executor.instances=4 \n --conf spark.executor.cores=1 \n --conf spark.executor.memory=1g \n --conf spark.driver.memory=1g \n --conf spark.cores.max=4 \n --conf spark.executorEnv.EXT_WH_HOST=$EXT_WH_HOST \n --conf spark.executorEnv.EXT_WH_PASSWORD=$EXT_WH_PASSWORD \n --conf spark.executorEnv.KAFKA_BROKER_LIST=$_KAFKA_BROKER_LIST \n --conf spark.executorEnv.SCHEMA_REGISTRY_URL=$SCHEMA_REGISTRY_URL \n --conf spark.executorEnv.AWS_ACCESS_KEY_ID=$AWS_ACCESS_KEY_ID \n --conf spark.executorEnv.AWS_SECRET_ACCESS_KEY=$AWS_SECRET_ACCESS_KEY \n --conf spark.executorEnv.STAGING_S3_BUCKET=$STAGING_S3_BUCKET \n --conf spark.executorEnv.KAFKA_GROUP_ID=$KAFKA_GROUP_ID \n --conf spark.executorEnv.MAX_RATE=$MAX_RATE \n --conf spark.executorEnv.KAFKA_MAX_POLL_MS=$KAFKA_MAX_POLL_MS \n --conf spark.executorEnv.KAFKA_MAX_POLL_RECORDS=$KAFKA_MAX_POLL_RECORDS \n --class com.ticketnetwork.edwstream.external.MapPageView \n /opt/edw-stream-external-mpv_2.11-2-SNAPSHOT.jar",
我尝试指定 --部署模式群集 \ --master yarn\ -- 同样的错误
错误：
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
18/09/10 20:41:24 INFO SparkContext: Running Spark version 2.2.0
18/09/10 20:41:25 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
18/09/10 20:41:25 INFO SparkContext: Submitted application: edw-stream-ext-mpv-emr-prod
18/09/10 20:41:25 INFO SecurityManager: Changing view acls to: root
18/09/10 20:41:25 INFO SecurityManager: Changing modify acls to: root
18/09/10 20:41:25 INFO SecurityManager: Changing view acls groups to:
18/09/10 20:41:25 INFO SecurityManager: Changing modify acls groups to:
18/09/10 20:41:25 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(root); groups with view permissions: Set(); users with modify permissions: Set(root); groups with modify permissions: Set()
18/09/10 20:41:25 INFO Utils: Successfully started service 'sparkDriver' on port 35868.
18/09/10 20:41:25 INFO SparkEnv: Registering MapOutputTracker
18/09/10 20:41:25 INFO SparkEnv: Registering BlockManagerMaster
18/09/10 20:41:25 INFO BlockManagerMasterEndpoint: Using org.apache.spark.storage.DefaultTopologyMapper for getting topology information
18/09/10 20:41:25 INFO BlockManagerMasterEndpoint: BlockManagerMasterEndpoint up
18/09/10 20:41:25 INFO DiskBlockManager: Created local directory at /tmp/blockmgr-5526b967-2be9-44bf-a86f-79ef72f2ac0f
18/09/10 20:41:25 INFO MemoryStore: MemoryStore started with capacity 366.3 MB
18/09/10 20:41:26 INFO SparkEnv: Registering OutputCommitCoordinator
18/09/10 20:41:26 INFO Utils: Successfully started service 'SparkUI' on port 4040.
18/09/10 20:41:26 INFO SparkUI: Bound SparkUI to 0.0.0.0, and started at http://10.150.4.45:4040
18/09/10 20:41:26 INFO SparkContext: Added JAR file:/opt/edw-stream-external-mpv_2.11-2-SNAPSHOT.jar at spark://10.150.4.45:35868/jars/edw-stream-external-mpv_2.11-2-SNAPSHOT.jar with timestamp 1536612086416
18/09/10 20:41:26 INFO RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
18/09/10 20:41:27 INFO Client: Retrying connect to server: 0.0.0.0/0.0.0.0:8032. Already tried 0 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)
18/09/10 20:41:28 INFO Client: Retrying connect to server: 0.0.0.0/0.0.0.0:8032. Already tried 1 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)
18/09/10 20:41:29 INFO Client: Retrying connect to server: 0.0.0.0/0.0.0.0:8032. Already tried 2 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)
0.0.0.0是默认主机名属性，8032 是默认端口号。
你得到默认值的一个原因是Hadoop环境变量都没有正确设置。您的HADOOP_CONF_DIR必须是 Spark(或 Hadoop(的conf文件夹，而不是 Spark 提取中的基本文件夹。此目录必须包含core-site.xml、yarn-site.xml、hdfs-site.xml和hive-site.xml(如果使用 HiveContext(
那么如果 yarn-site.xml 在上面的位置，你不需要YARN_CONF_DIR，但如果你设置了它，它需要是一个实际的目录，而不是直接到文件。
此外，您可能需要设置多个主机名。例如，生产级 YARN 集群将有两个用于容错的资源管理器。此外，如果启用了某些 Kerberos 密钥表和主体，可能需要设置它。
但是，如果您已经拥有Mesos/Marathon，我不确定为什么要使用YARN
。