如何使用外部 jars 和 Maven 编译/打包 Spark 2.0 项目 [英] How to compile/package Spark 2.0 project with external jars and Maven
问题描述
从 2.0 版开始，Apache Spark 与一个包含 .jar 文件的文件夹jars"捆绑在一起.显然Maven会在发布时下载所有这些jar:
Since version 2.0, Apache Spark is bundled with a folder "jars" full of .jar files. Obviously Maven will download all these jars when issuing:
mvn -e package
因为为了提交申请
spark-submit --class DataFetch target/DataFetch-1.0-SNAPSHOT.jar
需要DataFetch-1.0-SNAPSHOT.jar.
所以，第一个问题很简单，我怎样才能利用这些现有的罐子?第二个问题是相关的，儿子我第一次尝试使用 Maven 下载 jars，我得到以下输出:
So, the first question is straightforward, how can I take advantage of these existing jars?. The second question is related, son I've tried the first time with Maven downloading the jars, I've got the following output:
[INFO] Error stacktraces are turned on.
[INFO] Scanning for projects...
[INFO]
[INFO] ------------------------------------------------------------------------
[INFO] Building "DataFetch" 1.0-SNAPSHOT
[INFO] ------------------------------------------------------------------------
[INFO]
[INFO] --- maven-resources-plugin:2.5:resources (default-resources) @DataFetch ---
[debug] execute contextualize
[INFO] Using 'UTF-8' encoding to copy filtered resources.
[INFO] skip non existing resourceDirectory /root/sparkTests/scalaScripts/DataFetch/src/main/resources
[INFO]
[INFO] --- maven-compiler-plugin:3.0:compile (default-compile) @ DataFetch - --
[INFO] No sources to compile
[INFO]
[INFO] --- maven-resources-plugin:2.5:testResources (default-testResources) @ DataFetch ---
[debug] execute contextualize
[INFO] Using 'UTF-8' encoding to copy filtered resources.
[INFO] skip non existing resourceDirectory/root/sparkTests/scalaScripts/DataFetch/src/test/resources
[INFO]
[INFO] --- maven-compiler-plugin:3.0:testCompile (default-testCompile) @ DataFetch ---
[INFO] No sources to compile
[INFO]
[INFO] --- maven-surefire-plugin:2.10:test (default-test) @ DataFetch ---
[INFO] No tests to run.
[INFO] Surefire report directory: /root/sparkTests/scalaScripts/DataFetch/target/surefire-reports
-------------------------------------------------------
T E S T S
-------------------------------------------------------
Results :
Tests run: 0, Failures: 0, Errors: 0, Skipped: 0
[INFO]
[INFO] --- maven-jar-plugin:2.3.2:jar (default-jar) @ DataFetch---
[WARNING] JAR will be empty - no content was marked for inclusion!
[INFO] ------------------------------------------------------------------------
[INFO] BUILD SUCCESS
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 4.294s
[INFO] Finished at: Wed Sep 28 17:41:29 PYT 2016
[INFO] Final Memory: 14M/71M
[INFO] ------------------------------------------------------------------------
这是我的 pom.xml 文件
And here is my pom.xml file
<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.spark.pg</groupId>
<artifactId>DataFetch</artifactId>
<version>1.0-SNAPSHOT</version>
<packaging>jar</packaging>
<name>"DataFetch"</name>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
</properties>
<dependencies>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.11</artifactId>
<version>2.0.0</version>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<version>3.0</version>
</plugin>
</plugins>
</build>
</project>
如果需要更多信息，请不要犹豫.
If more information is needed, please don't hesitate to ask for it.
推荐答案
我不确定我是否理解你的问题，但我试着回答.
I am not sure whether I understand your problem, but I try to answer.
基于 Spark 捆绑您的应用程序的依赖项 文档:
在创建程序集 jar 时，列出 Spark 和 Hadoop依赖关系；这些不需要捆绑，因为它们是由运行时的集群管理器.
When creating assembly jars, list Spark and Hadoop as provided dependencies; these need not be bundled since they are provided by the cluster manager at runtime.
您可以在 maven pom.xml 文件中将范围设置为 provided
You can set scope to provided in maven pom.xml file
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.11</artifactId>
<version>${spark.version}</version>
<!-- add this scope -->
<scope>provided</scope>
</dependency>
我注意到的第二个想法是 maven 构建创建了空 JAR.
The second think I noticed is that maven build creates empty JAR.
[WARNING] JAR will be empty - no content was marked for inclusion!
如果你有任何其他依赖，你应该将这些依赖打包到最终的jar归档文件中.
If you have any other dependencies, you should package these dependencies into final jar archive file.
您可以在 pom.xml 中执行以下操作并运行 mvn package:
You can do something like below in pom.xml and run mvn package:
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-assembly-plugin</artifactId>
<version>2.6</version>
<configuration>
<!-- package with project dependencies -->
<descriptorRefs>
<descriptorRef>jar-with-dependencies</descriptorRef>
</descriptorRefs>
<archive>
<manifest>
<mainClass>YOUR_MAIN_CLASS</mainClass>
</manifest>
</archive>
</configuration>
<executions>
<execution>
<id>make-assembly</id>
<phase>package</phase>
<goals>
<goal>single</goal>
</goals>
</execution>
</executions>
</plugin>
Maven 日志应该打印与构建 jar 的行:
Maven log should print line with building jar:
[INFO] --- maven-assembly-plugin:2.4.1:single (make-assembly) @ dateUtils ---
[INFO] Building jar: path/target/APPLICATION_NAME-jar-with-dependencies.jar
在目标文件夹中的 maven 打包阶段之后，您应该会看到 DataFetch-1.0-SNAPSHOTjar-with-dependencies.jar，并且您可以使用 spark-submit 将此 jar 汇总
After maven packaging phase in the target folder you should see DataFetch-1.0-SNAPSHOTjar-with-dependencies.jar and you can sumbit this jar with spark-submit
这篇关于如何使用外部 jars 和 Maven 编译/打包 Spark 2.0 项目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！
