spark提交“服务”驱动程序“无法绑定到端口”错误

Question

time spark-submit --deploy-mode cluster --master spark://192.168.0.7:6066 --class org.apache.spark.examples.JavaWordCount /home/pi/Desktop/example/new/target/javaword.jar /books_50.txt 

Running Spark using the REST application submission protocol.
16/07/18 03:55:41 INFO rest.RestSubmissionClient: Submitting a request to launch an application in spark://192.168.0.7:6066.
16/07/18 03:55:44 INFO rest.RestSubmissionClient: Submission successfully created as driver-20160718035543-0000. Polling submission state...
16/07/18 03:55:44 INFO rest.RestSubmissionClient: Submitting a request for the status of submission driver-20160718035543-0000 in spark://192.168.0.7:6066.
16/07/18 03:55:44 INFO rest.RestSubmissionClient: State of driver driver-20160718035543-0000 is now RUNNING.
16/07/18 03:55:44 INFO rest.RestSubmissionClient: Driver is running on worker worker-20160718041005-192.168.0.12-42405 at 192.168.0.12:42405.
16/07/18 03:55:44 INFO rest.RestSubmissionClient: Server responded with CreateSubmissionResponse:
{
  "action" : "CreateSubmissionResponse",
  "message" : "Driver successfully submitted as driver-20160718035543-0000",
  "serverSparkVersion" : "1.6.2",
  "submissionId" : "driver-20160718035543-0000",
  "success" : true
}

Launch Command: "/usr/lib/jvm/jdk-8-oracle-arm32-vfp-hflt/jre/bin/java" "-cp" "/opt/spark/conf/:/opt/spark/lib/spark-assembly-1.6.2-hadoop2.6.0.jar:/opt/spark/lib/datanucleus-api-jdo-3.2.6.jar:/opt/spark/lib/datanucleus-core-3.2.10.jar:/opt/spark/lib/datanucleus-rdbms-3.2.9.jar" "-Xms1024M" "-Xmx1024M" "-Dspark.driver.supervise=false" "-Dspark.app.name=org.apache.spark.examples.JavaWordCount" "-Dspark.submit.deployMode=cluster" "-Dspark.jars=file:/home/pi/Desktop/example/new/target/javaword.jar" "-Dspark.master=spark://192.168.0.7:7077" "-Dspark.executor.memory=10M" "org.apache.spark.deploy.worker.DriverWrapper" "spark://Worker@192.168.0.12:42405" "/opt/spark/work/driver-20160718035543-0000/javaword.jar" "org.apache.spark.examples.JavaWordCount" "/books_50.txt"
========================================

log4j:WARN No appenders could be found for logger (org.apache.hadoop.metrics2.lib.MutableMetricsFactory).
log4j:WARN Please initialize the log4j system properly.
log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info.
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
16/07/18 04:10:58 INFO SecurityManager: Changing view acls to: pi
16/07/18 04:10:58 INFO SecurityManager: Changing modify acls to: pi
16/07/18 04:10:58 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(pi); users with modify permissions: Set(pi)
16/07/18 04:11:00 WARN Utils: Service 'Driver' could not bind on port 0. Attempting port 1.
16/07/18 04:11:00 WARN Utils: Service 'Driver' could not bind on port 0. Attempting port 1.
16/07/18 04:11:00 WARN Utils: Service 'Driver' could not bind on port 0. Attempting port 1.
16/07/18 04:11:00 WARN Utils: Service 'Driver' could not bind on port 0. Attempting port 1.
16/07/18 04:11:00 WARN Utils: Service 'Driver' could not bind on port 0. Attempting port 1.
16/07/18 04:11:00 WARN Utils: Service 'Driver' could not bind on port 0. Attempting port 1.
16/07/18 04:11:00 WARN Utils: Service 'Driver' could not bind on port 0. Attempting port 1.
16/07/18 04:11:00 WARN Utils: Service 'Driver' could not bind on port 0. Attempting port 1.
16/07/18 04:11:00 WARN Utils: Service 'Driver' could not bind on port 0. Attempting port 1.
16/07/18 04:11:00 WARN Utils: Service 'Driver' could not bind on port 0. Attempting port 1.
16/07/18 04:11:00 WARN Utils: Service 'Driver' could not bind on port 0. Attempting port 1.
16/07/18 04:11:00 WARN Utils: Service 'Driver' could not bind on port 0. Attempting port 1.
16/07/18 04:11:00 WARN Utils: Service 'Driver' could not bind on port 0. Attempting port 1.
16/07/18 04:11:00 WARN Utils: Service 'Driver' could not bind on port 0. Attempting port 1.
16/07/18 04:11:00 WARN Utils: Service 'Driver' could not bind on port 0. Attempting port 1.
16/07/18 04:11:00 WARN Utils: Service 'Driver' could not bind on port 0. Attempting port 1.
Exception in thread "main" java.net.BindException: Cannot assign requested address: Service 'Driver' failed after 16 retries! Consider explicitly setting the appropriate port for the service 'Driver' (for example spark.ui.port for SparkUI) to an available port or increasing spark.port.maxRetries.
    at sun.nio.ch.Net.bind0(Native Method)
    at sun.nio.ch.Net.bind(Net.java:433)
    at sun.nio.ch.Net.bind(Net.java:425)
    at sun.nio.ch.ServerSocketChannelImpl.bind(ServerSocketChannelImpl.java:223)
    at sun.nio.ch.ServerSocketAdaptor.bind(ServerSocketAdaptor.java:74)
    at io.netty.channel.socket.nio.NioServerSocketChannel.doBind(NioServerSocketChannel.java:125)
    at io.netty.channel.AbstractChannel$AbstractUnsafe.bind(AbstractChannel.java:485)
    at io.netty.channel.DefaultChannelPipeline$HeadContext.bind(DefaultChannelPipeline.java:1089)
    at io.netty.channel.AbstractChannelHandlerContext.invokeBind(AbstractChannelHandlerContext.java:430)
    at io.netty.channel.AbstractChannelHandlerContext.bind(AbstractChannelHandlerContext.java:415)
    at io.netty.channel.DefaultChannelPipeline.bind(DefaultChannelPipeline.java:903)
    at io.netty.channel.AbstractChannel.bind(AbstractChannel.java:198)
    at io.netty.bootstrap.AbstractBootstrap$2.run(AbstractBootstrap.java:348)
    at io.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:357)
    at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:357)
    at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
    at java.lang.Thread.run(Thread.java:745)

export SPARK_MASTER_WEBUI_PORT="8080"
export SPARK_MASTER_IP="192.168.0.7"
export SPARK_EXECUTOR_MEMORY="10M"

export SPARK_WORKER_WEBUI_PORT="8080"
export SPARK_MASTER_IP="192.168.0.7"
export SPARK_EXECUTOR_MEMORY="10M"

请帮忙...！！

Answer 1

在尝试运行shell时，我也遇到了同样的问题，通过设置SPARK_LOCAL_IP环境变量，我可以实现这一点。您可以在运行shell时从命令行分配：

spark_local_ip=127.0.0.1./bin/spark-shell

要获得更持久的解决方案，请在Spark根目录的conf目录中创建一个spark-env.sh文件。添加以下一行：