【发布时间】：2016-06-05 05:20:48
【问题描述】：
我正在尝试将 Apache Spark Pi 示例从 Eclipse 部署到 Hadoop YARN。 我正在使用 3 个带有 linux 的虚拟机运行我自己的集群。集群中的 Hadoop 版本是 2.7.2，Spark 是 1.6.0，稍后为 Hadoop 2.6.0 预构建。我能够从节点运行 Pi 示例，但是当我想在 Windows（纱线集群模式）上从 Eclipse 运行 Java Pi 示例时，我收到如下所示的错误。我发现了几个带有此错误的线程，但其中大多数是用于 cloudera 或 hortonwork 的，带有一些额外的变量，或者没有解决我的问题。我还尝试了 YARN 客户端模式，结果相同。请问有人可以帮帮我吗？
Eclipse 控制台输出：
16/02/23 11:21:51 INFO Client: Requesting a new application from cluster with 1 NodeManagers
16/02/23 11:21:51 INFO Client: Verifying our application has not requested more than the maximum memory capability of the cluster (8192 MB per container)
16/02/23 11:21:51 INFO Client: Will allocate AM container, with 1384 MB memory including 384 MB overhead
16/02/23 11:21:51 INFO Client: Setting up container launch context for our AM
16/02/23 11:21:51 INFO Client: Setting up the launch environment for our AM container
16/02/23 11:21:51 INFO Client: Preparing resources for our AM container
16/02/23 11:21:53 WARN : Your hostname, uherpc resolves to a loopback/non-reachable address: 172.25.32.214, but we couldn't find any external IP address!
16/02/23 11:21:53 INFO Client: Uploading resource file:/C:/Users/xuherv00/.gradle/caches/modules-2/files-2.1/org.apache.spark/spark-yarn_2.10/1.6.0/ace7b1f6f0c33b48e0323b7b0e7dd8ab458c14a4/spark-yarn_2.10-1.6.0.jar -> hdfs://sparkmaster:9000/user/hduser/.sparkStaging/application_1456222391080_0002/spark-yarn_2.10-1.6.0.jar
16/02/23 11:21:54 INFO Client: Uploading resource file:/C:/Users/xuherv00/workspace/rapidminer5/RapidMiner_Extension_Streaming/lib/spark-examples-1.6.0-hadoop2.6.0.jar -> hdfs://sparkmaster:9000/user/hduser/.sparkStaging/application_1456222391080_0002/spark-examples-1.6.0-hadoop2.6.0.jar
16/02/23 11:22:02 INFO Client: Uploading resource file:/C:/Users/xuherv00/AppData/Local/Temp/spark-266eade5-5049-4b13-9f75-edb5200e3df1/__spark_conf__6296221515875913107.zip -> hdfs://sparkmaster:9000/user/hduser/.sparkStaging/application_1456222391080_0002/__spark_conf__6296221515875913107.zip
16/02/23 11:22:02 INFO SecurityManager: Changing view acls to: xuherv00,hduser
16/02/23 11:22:02 INFO SecurityManager: Changing modify acls to: xuherv00,hduser
16/02/23 11:22:02 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(xuherv00, hduser); users with modify permissions: Set(xuherv00, hduser)
16/02/23 11:22:02 INFO Client: Submitting application 2 to ResourceManager
16/02/23 11:22:02 INFO YarnClientImpl: Submitted application application_1456222391080_0002
16/02/23 11:22:03 INFO Client: Application report for application_1456222391080_0002 (state: ACCEPTED)
16/02/23 11:22:03 INFO Client:
client token: N/A
diagnostics: N/A
ApplicationMaster host: N/A
ApplicationMaster RPC port: -1
queue: default
start time: 1456222434780
final status: UNDEFINED
tracking URL: http://sparkmaster:8088/proxy/application_1456222391080_0002/
user: hduser
16/02/23 11:22:04 INFO Client: Application report for application_1456222391080_0002 (state: ACCEPTED)
16/02/23 11:22:05 INFO Client: Application report for application_1456222391080_0002 (state: ACCEPTED)
16/02/23 11:22:06 INFO Client: Application report for application_1456222391080_0002 (state: ACCEPTED)
16/02/23 11:22:07 INFO Client: Application report for application_1456222391080_0002 (state: ACCEPTED)
16/02/23 11:22:08 INFO Client: Application report for application_1456222391080_0002 (state: ACCEPTED)
16/02/23 11:22:09 INFO Client: Application report for application_1456222391080_0002 (state: ACCEPTED)
16/02/23 11:22:10 INFO Client: Application report for application_1456222391080_0002 (state: FAILED)
16/02/23 11:22:10 INFO Client:
client token: N/A
diagnostics: Application application_1456222391080_0002 failed 2 times due to AM Container for appattempt_1456222391080_0002_000002 exited with exitCode: 1
For more detailed output, check application tracking page:http://sparkmaster:8088/cluster/app/application_1456222391080_0002Then, click on links to logs of each attempt.
Diagnostics: Exception from container-launch.
Container id: container_1456222391080_0002_02_000001
Exit code: 1
Stack trace: ExitCodeException exitCode=1:
at org.apache.hadoop.util.Shell.runCommand(Shell.java:545)
at org.apache.hadoop.util.Shell.run(Shell.java:456)
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:722)
at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:212)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:302)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:82)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Container exited with a non-zero exit code 1
Failing this attempt. Failing the application.
ApplicationMaster host: N/A
ApplicationMaster RPC port: -1
queue: default
start time: 1456222434780
final status: FAILED
tracking URL: http://sparkmaster:8088/cluster/app/application_1456222391080_0002
user: hduser
16/02/23 11:22:10 INFO Client: Deleting staging directory .sparkStaging/application_1456222391080_0002
16/02/23 11:22:10 INFO ShutdownHookManager: Shutdown hook called
16/02/23 11:22:10 INFO ShutdownHookManager: Deleting directory C:\Users\xuherv00\AppData\Local\Temp\spark-266eade5-5049-4b13-9f75-edb5200e3df1
Hadoop 应用程序日志：
User: hduser
Name: testApp
Application Type: SPARK
Application Tags:
YarnApplicationState: FAILED
FinalStatus Reported by AM: FAILED
Started: Tue Feb 23 11:13:54 +0100 2016
Elapsed: 8sec
Tracking URL: History
Diagnostics:
Application application_1456222391080_0002 failed 2 times due to AM Container for appattempt_1456222391080_0002_000002 exited with exitCode: 1
For more detailed output, check application tracking page:http://sparkmaster:8088/cluster/app/application_1456222391080_0002Then, click on links to logs of each attempt.
Diagnostics: Exception from container-launch.
Container id: container_1456222391080_0002_02_000001
Exit code: 1
Stack trace: ExitCodeException exitCode=1:
at org.apache.hadoop.util.Shell.runCommand(Shell.java:545)
at org.apache.hadoop.util.Shell.run(Shell.java:456)
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:722)
at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:212)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:302)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:82)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Container exited with a non-zero exit code 1
Failing this attempt. Failing the application.
container_1456222391080_0002_01_000001 stderr 的日志：
Error: Could not find or load main class org.apache.spark.deploy.yarn.ApplicationMaster
Gradle 依赖项：
//hadoop
compile 'org.apache.hadoop:hadoop-common:2.7.2'
compile 'org.apache.hadoop:hadoop-hdfs:2.7.2'
compile 'org.apache.hadoop:hadoop-client:2.7.2'
compile 'org.apache.hadoop:hadoop-mapreduce-client-core:2.7.2'
compile 'org.apache.hadoop:hadoop-yarn-common:2.7.2'
compile 'org.apache.hadoop:hadoop-yarn-api:2.7.2'
//spark
compile 'org.apache.spark:spark-core_2.10:1.6.0'
compile 'org.apache.spark:spark-sql_2.10:1.6.0'
compile 'org.apache.spark:spark-streaming_2.10:1.6.0'
compile 'org.apache.spark:spark-catalyst_2.10:1.6.0'
compile 'org.apache.spark:spark-yarn_2.10:1.6.0'
compile 'org.apache.spark:spark-network-shuffle_2.10:1.6.0'
compile 'org.apache.spark:spark-network-common_2.10:1.6.0'
compile 'org.apache.spark:spark-network-yarn_2.10:1.6.0'
Java 类：
package mypackage;
import java.io.File;
import java.lang.reflect.Method;
import java.net.URI;
import java.net.URL;
import java.net.URLClassLoader;
import org.apache.hadoop.conf.Configuration;
import org.apache.spark.SparkConf;
import org.apache.spark.deploy.yarn.Client;
import org.apache.spark.deploy.yarn.ClientArguments;
import org.junit.Test;
public class ExampleApp {
private String appName = "testApp";
// private String mode = "yarn-client";
private String mode = "yarn-cluster";
private File appJar = new File("lib/spark-examples-1.6.0-hadoop2.6.0.jar");
private URI appJarUri = appJar.toURI();
private String hadoopPath = "E:\\store\\hadoop";
@Test
public void deployPiToYARN() {
String[] args = new String[] {
// the name of your application
"--name", appName,
// memory for driver (optional)
"--driver-memory", "1000M",
// path to your application's JAR file
// required in yarn-cluster mode
"--jar", appJarUri.toString(),
// name of your application's main class (required)
"--class", "org.apache.spark.examples.SparkPi",
// comma separated list of local jars that want
// SparkContext.addJar to work with
// "--addJars",
// "lib/spark-assembly-1.6.0-hadoop2.6.0.jar",
// argument 1 to Spark program
"--arg",
"10",
};
System.setProperty("hadoop.home.dir", hadoopPath);
System.setProperty("HADOOP_USER_NAME", "hduser");
try {
addHadoopConfToClassPath(hadoopPath);
} catch (Exception e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
// create a Hadoop Configuration object
Configuration config = new Configuration();
config.set("yarn.resourcemanager.address", "172.25.32.192:8050");
// identify that you will be using Spark as YARN mode
System.setProperty("SPARK_YARN_MODE", "true");
// create an instance of SparkConf object
SparkConf sparkConf = new SparkConf().setAppName(appName);
sparkConf = sparkConf.setMaster(mode);
sparkConf = sparkConf.set("spark.executor.memory","1g");
// create ClientArguments, which will be passed to Client
ClientArguments cArgs = new ClientArguments(args, sparkConf);
// create an instance of yarn Client client
Client client = new Client(cArgs, config, sparkConf);
// client.submitApplication();
// submit Spark job to YARN
client.run();
}
private void addHadoopConfToClassPath(String path) throws Exception {
File f = new File(path);
URL u = f.toURI().toURL();
URLClassLoader urlClassLoader = (URLClassLoader) ClassLoader.getSystemClassLoader();
Class<URLClassLoader> urlClass = URLClassLoader.class;
Method method = urlClass.getDeclaredMethod("addURL", new Class[]{URL.class});
method.setAccessible(true);
method.invoke(urlClassLoader, new Object[]{u});
}
}
核心站点.xml：
<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
<property>
<name>fs.default.name</name>
<value>hdfs://sparkmaster:9000</value>
</property>
</configuration>
hdfs-site.xml：
<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
<property>
<name>dfs.replication</name>
<value>3</value>
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>file:/usr/local/hadoop_tmp/hdfs/namenode</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>file:/usr/local/hadoop_tmp/hdfs/datanode</value>
</property>
</configuration>
yarn-site.xml：
<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>sparkmaster</value>
</property>
<property>
<name>yarn.resourcemanager.resource-tracker.address</name>
<value>sparkmaster:8025</value>
</property>
<property>
<name>yarn.resourcemanager.scheduler.address</name>
<value>sparkmaster:8035</value>
</property>
<property>
<name>yarn.resourcemanager.address</name>
<value>sparkmaster:8050</value>
</property>
</configuration>
【问题讨论】：
标签： java eclipse hadoop apache-spark hadoop-yarn