星火流在EC2上:螺纹&QUOT异常;主" java.lang.ExceptionInInitializerError [英] Spark Streaming on EC2: Exception in thread "main" java.lang.ExceptionInInitializerError

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本文介绍了星火流在EC2上:螺纹&QUOT异常;主" java.lang.ExceptionInInitializerError的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

在我创建一个jar文件

我试图运行火花提交。当我在我的机器上本地运行它,它工作正常,但当部署到Amazon EC2上返回下面的错误。

 根@ IP-172-31-47-217斌] $ ./spark-submit --master本地[2] --class main.java.Streamer〜/ streaming-项目-1.0-JAR与 -  dependencies.jar
异常线程mainjava.lang.ExceptionInInitializerError
    在org.apache.spark.streaming.StreamingContext $<&初始化GT;(StreamingContext.scala:728)。
    在org.apache.spark.streaming.StreamingContext $< clinit>(StreamingContext.scala)
    在org.apache.spark.streaming.StreamingContext<&初始化GT;(StreamingContext.scala:81)。
    在main.java.Streamer $。主要(Streamer.scala:24)
    在main.java.Streamer.main(Streamer.scala)
    在sun.reflect.NativeMethodAccessorImpl.invoke0(本机方法)
    在sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
    在sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    在java.lang.reflect.Method.invoke(Method.java:606)
    在org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:672)
    在org.apache.spark.deploy.SparkSubmit $ .doRunMain $ 1(SparkSubmit.scala:180)
    在org.apache.spark.deploy.SparkSubmit $ .submit(SparkSubmit.scala:205)
    在org.apache.spark.deploy.SparkSubmit $。主要(SparkSubmit.scala:120)
    在org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
java.lang.NoSuchFieldException:引起SHUTDOWN_HOOK_PRIORITY
    在java.lang.Class.getField(Class.java:1592)
    在org.apache.spark.util.SparkShutdownHookManager.install(ShutdownHookManager.scala:220)
    在org.apache.spark.util.ShutdownHookManager $ .shutdownHooks $ lzycompute(ShutdownHookManager.scala:50)
    在org.apache.spark.util.ShutdownHookManager $ .shutdownHooks(ShutdownHookManager.scala:48)
    在org.apache.spark.util.ShutdownHookManager $ .addShutdownHook(ShutdownHookManager.scala:189)
    在org.apache.spark.util.ShutdownHookManager $<&初始化GT;(ShutdownHookManager.scala:58)。
    在org.apache.spark.util.ShutdownHookManager $< clinit>(ShutdownHookManager.scala)
... 14个

下面是我的pom.xml文件:

 <?XML版本=1.0编码=UTF-8&GT?;
<项目>
    <&的groupId GT; astiefel< /的groupId>
    <&的artifactId GT;流媒体项目< / artifactId的>
    < modelVersion> 4.0.0< / modelVersion>
    <名称>横批项目和LT; /名称>
    <包装和GT;&罐子LT; /包装>
    <&版GT; 1.0 LT; /版本>
    <性状>
        < maven.compiler.source> 1.6 LT; /maven.compiler.source>
        < maven.compiler.target> 1.6 LT; /maven.compiler.target>
        <&编码GT; UTF-8< /编码>
        < scala.tools.version> 2.10 LT; /scala.tools.version>
        <! - 把集群的斯卡拉版本 - >
        < scala.version> 2.10.4< /scala.version>    < /性状>
    <依赖和GT;
        <&依赖性GT; <! - 星火依赖 - >
            <&的groupId GT; org.apache.spark< /的groupId>
            <&的artifactId GT;火花core_2.10< / artifactId的>
            <&版GT; 1.5.1< /版本>
        < /依赖性>
        <&依赖性GT;
            <&的groupId GT; org.apache.spark< /的groupId>
            <&的artifactId GT;火花streaming_2.10< / artifactId的>
            <&版GT; 1.5.1< /版本>
        < /依赖性>
        <&依赖性GT;
            <&的groupId GT; org.scala浪< /的groupId>
            <&的artifactId GT;斯卡拉编译< / artifactId的>
            <&版GT; $ {scala.version}< /版本>
            <&范围GT;&编译LT; /&范围GT;
        < /依赖性>
        <&依赖性GT;
            <&的groupId GT; org.apache.spark< /的groupId>
            <&的artifactId GT;火花mllib_2.10< / artifactId的>
            <&版GT; 1.0.0< /版本>
        < /依赖性>
        <&依赖性GT;
            <&的groupId GT; org.apache.spark< /的groupId>
            <&的artifactId GT;火花mllib_2.10< / artifactId的>
            <&版GT; 1.3.1< /版本>
        < /依赖性>
        <&依赖性GT;
            <&的groupId GT; org.scalanlp< /的groupId>
            <&的artifactId GT; breeze_2.10< / artifactId的>
            <&版GT; 0.10 LT; /版本>
        < /依赖性>
        <&依赖性GT;
            <&的groupId GT; org.apache.spark< /的groupId>
            <&的artifactId GT;火花sql_2.10< / artifactId的>
            <&版GT; 1.4.0< /版本>
        < /依赖性>
    < /依赖和GT;    <库>
        <&库GT;
            <&ID GT; Cloudera的-回购释放和LT; / ID>
            &LT; URL&GT;的https://repository.cloudera.com/artifactory/repo/< / URL&GT;
        &LT; /存储库&GT;
    &LT; /存储库&GT;    &LT;建立&GT;
        &LT; sourceDirectory&GT;的src / main / java的&LT; / sourceDirectory&GT;
        &LT;&插件GT;
            &LT;&插件GT;
                &LT;! - 看到http://davidb.github.com/scala-maven-plugin - &GT;
                &LT;&的groupId GT; net.alchim31.maven&LT; /的groupId&GT;
                &LT;&的artifactId GT;斯卡拉,Maven的插件&LT; / artifactId的&GT;
                &LT;! - &LT;&版GT; 3.1.3&LT; /版本&GT; - &GT;
                &LT;&执行GT;
                    &LT;执行与GT;
                        &LT;目标&GT;
                            &LT;&目标GT;&编译LT; /目标&GT;
                            &LT;&目标GT; testCompile&LT; /目标&GT;
                        &LT; /目标&GT;
                        &LT;结构&gt;
                            &LT;&ARGS GT;
                                &LT;&ARG GT; -make:传递&LT; / ARG&GT;
                                &LT;&ARG GT; -dependencyfile&LT; / ARG&GT;
                                &LT; ARG方式&gt; $ {} project.build.directory / scala_dependencies&LT; / ARG&GT;
                            &LT; / ARGS&GT;
                        &LT; /结构&gt;
                    &LT; /执行&GT;
                &LT; /处决&GT;
            &LT; /插件&GT;
            &LT;&插件GT;
                &LT;&的groupId GT; org.apache.maven.plugins&LT; /的groupId&GT;
                &LT;&的artifactId GT; Maven的万无一失,插件&LT; / artifactId的&GT;
                &LT;! - &LT;&版GT;&2.13 LT; /版本&GT; - &GT;
                &LT;结构&gt;
                    &LT; useFile&GT;假LT; / useFile&GT;
                    &LT; disableXmlReport&GT;真&LT; / disableXmlReport&GT;
                    &LT;! - 如果你有问题的classpath像NoDefClassError,... - &GT;
                    &LT; useManifestOnlyJar&GT;假LT; / useManifestOnlyJar&GT;
                    &所述包括(includes)GT;
                        &LT;包括方式&gt; ** / *测试*&LT; / - 包括GT;
                        &LT;包括方式&gt; ** / *套房*&LT; / - 包括GT;
                    &LT; / - 包括GT;
                &LT; /结构&gt;
            &LT; /插件&GT;            &LT; - !包命令插件 - &GT;
            &LT;&插件GT;
                &LT;&的artifactId GT; Maven的组装插件&LT; / artifactId的&GT;
                &LT;! - &LT;&版GT; 2.4.1&LT; /版本&GT; - &GT;
                &LT;结构&gt;
                    &LT; descriptorRefs&GT;
                        &LT; descriptorRef&GT; JAR-具有依赖性和LT; / descriptorRef&GT;
                    &LT; / descriptorRefs&GT;
                &LT; /结构&gt;
                &LT;&执行GT;
                    &LT;执行与GT;
                        &LT;&ID GT;使组装和LT; / ID&GT;
                        &LT;阶段&gt;包装及LT; /阶段&gt;
                        &LT;目标&GT;
                            &LT;&目标GT;单&LT; /目标&GT;
                        &LT; /目标&GT;
                    &LT; /执行&GT;
                &LT; /处决&GT;
            &LT; /插件&GT;
        &LT; /插件&GT;
    &LT; /构建&GT;
&LT; /项目&GT;


解决方案

当您启动火花EC2 默认的Hadoop版本是1.2​​.1。然而,最近的版本星火(至少1.5.1)要求,在Hadoop的2介绍了hadoop.fs.FileSystem类中的 SHUTDOWN_HOOK_PRIORITY 字段+

一个修复来解决这个问题是启动使用Hadoop版本2+的火花集群。参见火花EC2 --help 的可用选项。例如: - Hadoop的主要版本=纱将安装的Hadoop版本2.4

I am trying to run spark-submit on a jar file that I created. When I run it locally on my machine it works correctly but when deployed onto Amazon EC2 it returns the following error.

root@ip-172-31-47-217 bin]$ ./spark-submit --master local[2] --class main.java.Streamer ~/streaming-project-1.0-jar-with-dependencies.jar
Exception in thread "main" java.lang.ExceptionInInitializerError
    at org.apache.spark.streaming.StreamingContext$.<init>(StreamingContext.scala:728)
    at org.apache.spark.streaming.StreamingContext$.<clinit>(StreamingContext.scala)
    at org.apache.spark.streaming.StreamingContext.<init>(StreamingContext.scala:81)
    at main.java.Streamer$.main(Streamer.scala:24)
    at main.java.Streamer.main(Streamer.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:606)
    at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:672)
    at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
    at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
    at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120)
    at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.NoSuchFieldException: SHUTDOWN_HOOK_PRIORITY
    at java.lang.Class.getField(Class.java:1592)
    at org.apache.spark.util.SparkShutdownHookManager.install(ShutdownHookManager.scala:220)
    at org.apache.spark.util.ShutdownHookManager$.shutdownHooks$lzycompute(ShutdownHookManager.scala:50)
    at org.apache.spark.util.ShutdownHookManager$.shutdownHooks(ShutdownHookManager.scala:48)
    at org.apache.spark.util.ShutdownHookManager$.addShutdownHook(ShutdownHookManager.scala:189)
    at org.apache.spark.util.ShutdownHookManager$.<init>(ShutdownHookManager.scala:58)
    at org.apache.spark.util.ShutdownHookManager$.<clinit>(ShutdownHookManager.scala)
... 14 more

Below is my pom.xml file:

<?xml version="1.0" encoding="UTF-8"?>
<project>
    <groupId>astiefel</groupId>
    <artifactId>streaming-project</artifactId>
    <modelVersion>4.0.0</modelVersion>
    <name>Streamer Project</name>
    <packaging>jar</packaging>
    <version>1.0</version>
    <properties>
        <maven.compiler.source>1.6</maven.compiler.source>
        <maven.compiler.target>1.6</maven.compiler.target>
        <encoding>UTF-8</encoding>
        <scala.tools.version>2.10</scala.tools.version>
        <!-- Put the Scala version of the cluster -->
        <scala.version>2.10.4</scala.version>

    </properties>
    <dependencies>
        <dependency> <!-- Spark dependency -->
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-core_2.10</artifactId>
            <version>1.5.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-streaming_2.10</artifactId>
            <version>1.5.1</version>
        </dependency>
        <dependency>
            <groupId>org.scala-lang</groupId>
            <artifactId>scala-compiler</artifactId>
            <version>${scala.version}</version>
            <scope>compile</scope>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-mllib_2.10</artifactId>
            <version>1.0.0</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-mllib_2.10</artifactId>
            <version>1.3.1</version>
        </dependency>
        <dependency>
            <groupId>org.scalanlp</groupId>
            <artifactId>breeze_2.10</artifactId>
            <version>0.10</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-sql_2.10</artifactId>
            <version>1.4.0</version>
        </dependency>
    </dependencies>

    <repositories>
        <repository>
            <id>cloudera-repo-releases</id>
            <url>https://repository.cloudera.com/artifactory/repo/</url>
        </repository>
    </repositories>

    <build>
        <sourceDirectory>src/main/java</sourceDirectory>
        <plugins>
            <plugin>
                <!-- see http://davidb.github.com/scala-maven-plugin -->
                <groupId>net.alchim31.maven</groupId>
                <artifactId>scala-maven-plugin</artifactId>
                <!--<version>3.1.3</version>-->
                <executions>
                    <execution>
                        <goals>
                            <goal>compile</goal>
                            <goal>testCompile</goal>
                        </goals>
                        <configuration>
                            <args>
                                <arg>-make:transitive</arg>
                                <arg>-dependencyfile</arg>
                                <arg>${project.build.directory}/.scala_dependencies</arg>
                            </args>
                        </configuration>
                    </execution>
                </executions>
            </plugin>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-surefire-plugin</artifactId>
                <!--<version>2.13</version>-->
                <configuration>
                    <useFile>false</useFile>
                    <disableXmlReport>true</disableXmlReport>
                    <!-- If you have classpath issue like NoDefClassError,... -->
                    <useManifestOnlyJar>false</useManifestOnlyJar>
                    <includes>
                        <include>**/*Test.*</include>
                        <include>**/*Suite.*</include>
                    </includes>
                </configuration>
            </plugin>

            <!-- "package" command plugin -->
            <plugin>
                <artifactId>maven-assembly-plugin</artifactId>
                <!--<version>2.4.1</version>-->
                <configuration>
                    <descriptorRefs>
                        <descriptorRef>jar-with-dependencies</descriptorRef>
                    </descriptorRefs>
                </configuration>
                <executions>
                    <execution>
                        <id>make-assembly</id>
                        <phase>package</phase>
                        <goals>
                            <goal>single</goal>
                        </goals>
                    </execution>
                </executions>
            </plugin>
        </plugins>
    </build>
</project>

解决方案

When you launch spark-ec2 the default hadoop version is 1.2.1. However, the recent Spark versions (at least 1.5.1) requires the SHUTDOWN_HOOK_PRIORITY field in the hadoop.fs.FileSystem class that was introduced in Hadoop 2+.

One fix to get around this problem is to start up your spark cluster with Hadoop version 2+. See spark-ec2 --help for available options. Example: --hadoop-major-version=yarn will install version 2.4 of Hadoop.

这篇关于星火流在EC2上:螺纹&QUOT异常;主&QUOT; java.lang.ExceptionInInitializerError的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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