Maven package 报错解决记录以及编译scala的pom.xml

时间:2023-03-09 00:38:56
Maven package 报错解决记录以及编译scala的pom.xml

可以打包的pom.xml:

<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/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion> <groupId>com.stdatalabs.Streaming</groupId>
<artifactId>SparkTwitterAnalysis</artifactId>
<version>0.0.1-SNAPSHOT</version>
<packaging>jar</packaging> <properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<scala.version>2.11.6</scala.version>
</properties> <dependencies>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>3.8.1</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>3.8.1</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.10</artifactId>
<version>1.4.1</version>
<scope>compile</scope>
</dependency> <dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming_2.10</artifactId>
<version>1.4.1</version>
<scope>compile</scope>
</dependency> <dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-mllib_2.10</artifactId>
<version>1.4.1</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.10</artifactId>
<version>1.4.1</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-hive_2.10</artifactId>
<version>1.4.1</version>
</dependency> <dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming-twitter_2.10</artifactId>
<version>1.4.1</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming-kafka_2.10</artifactId>
<version>1.4.1</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<version>2.4.1</version>
<scope>compile</scope>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
<version>2.4.1</version>
<scope>compile</scope>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.spark/spark-streaming-flume_2.10 -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming-flume_2.10</artifactId>
<version>1.4.1</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.spark/spark-streaming-flume-sink_2.10 -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming-flume-sink_2.10</artifactId>
<version>1.4.1</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.twitter4j/twitter4j-core -->
<dependency>
<groupId>org.twitter4j</groupId>
<artifactId>twitter4j-core</artifactId>
<version>3.0.3</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.twitter4j/twitter4j-stream -->
<dependency>
<groupId>org.twitter4j</groupId>
<artifactId>twitter4j-stream</artifactId>
<version>3.0.3</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.twitter4j/twitter4j-async -->
<dependency>
<groupId>org.twitter4j</groupId>
<artifactId>twitter4j-async</artifactId>
<version>3.0.3</version>
</dependency>
<dependency>
<groupId>org.apache.storm</groupId>
<artifactId>storm-core</artifactId>
<version>0.10.0</version>
<scope>provided</scope>
<exclusions>
<exclusion>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-log4j12</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka_2.10</artifactId>
<version>0.8.2.1</version>
<exclusions>
<exclusion>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-log4j12</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.apache.storm</groupId>
<artifactId>storm-kafka</artifactId>
<version>0.10.0-beta1</version>
</dependency>
<dependency>
<groupId>org.apache.storm</groupId>
<artifactId>storm-hdfs</artifactId>
<version>0.10.0-beta1</version>
</dependency>
<dependency>
<groupId>org.scala-tools</groupId>
<artifactId>maven-scala-plugin</artifactId>
<version>2.11</version>
</dependency> </dependencies> <build>
<sourceDirectory>src/main/scala</sourceDirectory>
<plugins>
<plugin>
<groupId>org.scala-tools</groupId>
<artifactId>maven-scala-plugin</artifactId>
<executions>
<execution>
<goals>
<goal>compile</goal>
<goal>testCompile</goal>
</goals>
</execution>
</executions>
<configuration>
<scalaVersion>${scala.version}</scalaVersion>
<args>
<arg>-target:jvm-1.5</arg>
</args>
</configuration>
</plugin> <plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-eclipse-plugin</artifactId>
<configuration>
<downloadSources>true</downloadSources>
<buildcommands>
<buildcommand>ch.epfl.lamp.sdt.core.scalabuilder</buildcommand>
</buildcommands>
<additionalProjectnatures>
<projectnature>ch.epfl.lamp.sdt.core.scalanature</projectnature>
</additionalProjectnatures>
<classpathContainers>
<classpathContainer>org.eclipse.jdt.launching.JRE_CONTAINER</classpathContainer>
<classpathContainer>ch.epfl.lamp.sdt.launching.SCALA_CONTAINER</classpathContainer>
</classpathContainers>
</configuration>
</plugin> <plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<version>2.4.3</version>
<executions>
<execution>
<phase>package</phase>
<goals>
<goal>shade</goal>
</goals>
<configuration>
<transformers>
<transformer
implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
<mainClass>com.stdatalabs.Streaming.SparkPopularHashTags</mainClass>
</transformer>
</transformers>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
<reporting>
<plugins>
<plugin>
<groupId>org.scala-tools</groupId>
<artifactId>maven-scala-plugin</artifactId>
<configuration>
<scalaVersion>${scala.version}</scalaVersion>
</configuration>
</plugin>
</plugins>
</reporting> </project>

然后 使用:

mvn clean
mvn package

我的工程是使用spark streaming来着,所以运行命令如下:

opt/spark-2.2.1-bin-hadoop2.7/bin/spark-submit --class com.stdatalabs.Streaming.SparkPopularHashTags --master yarn --deploy-mode client target/SparkTwitterAnalysis-0.0.1-SNAPSHOT.jar

但是会报错:

java.lang.SecurityException: Invalid signature file digest for Manifest main attributes
at sun.security.util.SignatureFileVerifier.processImpl(SignatureFileVerifier.java:284)
at sun.security.util.SignatureFileVerifier.process(SignatureFileVerifier.java:238)
这个错误可以使用:
zip -d SparkTwitterAnalysis-0.0.1-SNAPSHOT.jar 'META-INF/.SF' 'META-INF/.RSA' 'META-INF/*SF'
来解决。
这样就可以运行了。