【发布时间】：2018-08-15 22:48:49
【问题描述】：
看起来我再次被困在使用 spark submit 运行打包的 spark 应用程序 jar 上。以下是我的 pom 文件：
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd">
<parent>
<artifactId>oneview-forecaster</artifactId>
<groupId>com.dataxu.oneview.forecast</groupId>
<version>1.0.0-SNAPSHOT</version>
</parent>
<modelVersion>4.0.0</modelVersion>
<artifactId>forecaster</artifactId>
<dependencies>
<dependency>
<groupId>com.fasterxml.jackson.core</groupId>
<artifactId>jackson-databind</artifactId>
</dependency>
<dependency>
<groupId>com.fasterxml.jackson.module</groupId>
<artifactId>jackson-module-scala_${scala.binary.version}</artifactId>
</dependency>
<dependency>
<groupId>org.scala-lang</groupId>
<artifactId>scala-library</artifactId>
<version>${scala.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming_${scala.binary.version}</artifactId>
<version>${spark.version}</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_${scala.binary.version}</artifactId>
<version>${spark.version}</version>
<!--<scope>provided</scope>-->
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.spark/spark-hive -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-hive_2.11</artifactId>
<version>2.2.0</version>
<!--<scope>provided</scope>-->
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-aws</artifactId>
<version>2.8.3</version>
<!--<scope>provided</scope>-->
</dependency>
<dependency>
<groupId>com.amazonaws</groupId>
<artifactId>aws-java-sdk</artifactId>
<version>1.10.60</version>
</dependency>
<!-- https://mvnrepository.com/artifact/joda-time/joda-time -->
<dependency>
<groupId>joda-time</groupId>
<artifactId>joda-time</artifactId>
<version>2.9.9</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.hadoop/hadoop-common -->
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
<version>2.8.0</version>
<!--<scope>provided</scope>-->
</dependency>
</dependencies>
<build>
<sourceDirectory>src/main/scala</sourceDirectory>
<testSourceDirectory>src/test/scala</testSourceDirectory>
<plugins>
<plugin>
<groupId>net.alchim31.maven</groupId>
<artifactId>scala-maven-plugin</artifactId>
<version>${scala-maven-plugin.version}</version>
<executions>
<execution>
<goals>
<goal>compile</goal>
<goal>testCompile</goal>
</goals>
</execution>
</executions>
</plugin>
<plugin>
<artifactId>maven-assembly-plugin</artifactId>
<configuration>
<archive>
<manifest>
<mainClass>com.dataxu.oneview.forecaster.App</mainClass>
</manifest>
</archive>
<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>
以下是一个简单的 sn-p 代码，它从 s3 位置获取数据并打印出来：
def getS3Data(path: String): Map[String, Any] = {
println("spark session start.........")
val spark = getSparkSession()
val configTxt = spark.sparkContext.textFile(path)
.collect().reduce(_ + _)
val mapper = new ObjectMapper
mapper.registerModule(DefaultScalaModule)
mapper.readValue(configTxt, classOf[Map[String, String]])
}
当我从 intellij 运行它时，一切正常。日志很清晰，看起来不错。但是，当我使用 mvn package 打包它并尝试使用 spark submit 运行它时，我最终在.collect.reduce(_ + _) 处收到以下错误。以下是我遇到的错误：
"main" java.lang.NoSuchMethodError: org.apache.hadoop.conf.Configuration.reloadExistingConfigurations()V
at org.apache.hadoop.fs.s3a.S3AFileSystem.addDeprecatedKeys(S3AFileSystem.java:181)
at org.apache.hadoop.fs.s3a.S3AFileSystem.<clinit>(S3AFileSystem.java:185)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:348)
...
我不明白哪个依赖项没有打包或者可能是什么问题，因为我确实设置了正确的版本，期望 hadoop aws 应该拥有所有这些。
任何帮助将不胜感激。
【问题讨论】：
标签： maven hadoop apache-spark intellij-idea