[1.0.2] 详解基于maven管理-scala开发的spark项目开发环境的搭建与测试
2016-07-24 15:40
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场景
好的,假设项目数据调研与需求分析已接近尾声,马上进入Coding阶段了,辣么在Coding之前需要干马呢?是的,“统一开发工具、开发环境的搭建与本地测试、测试环境的搭建与测试” - 本文详细记录实际spark项目开发环境的搭建。分析
开发工具
操作系统:win 10JDK 版本 :jdk1.8.0_91
SCALA版本:2.10.6
MAVEN版本:apache-maven-3.3.9
集成开发工具:IntelliJ IDEA 2016.1.3
开发主要语言:scala
开发环境的搭建与测试
一. 搭建过程文档1、新建一个Maven工程
这里以新建一个名称为fantasia的maven工程为例加以说明。
设置完了,选择下一步
设置完了,选择下一步
点击 finish 后idea会加载maven与junit等相关的插件,可能需要30分钟左右的时间(网速决定)。
2、自定义maven的repository目录
idea内置了maven插件,且默认repository目录为
C:\Users\${username}\.m2\repository,这里我们为项目指定一个新的repository,以方便管理依赖的jar包:
3、在pom.xml文件中配置相关依赖包
这里一次性导入项目可能用到的jar包,具体内容如下:
<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"> <modelVersion>4.0.0</modelVersion> <groupId>com.pl.bdeu.bigdata</groupId> <artifactId>fantasia</artifactId> <version>1.0-SNAPSHOT</version> <inceptionYear>2008</inceptionYear> <properties> <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding> <scala.version>2.10.6</scala.version> <spark.version>1.6.2</spark.version> <hadoop.version>2.6.0</hadoop.version> </properties> <repositories> <repository> <id>scala-tools.org</id> <name>Scala-Tools Maven2 Repository</name> <url>http://scala-tools.org/repo-releases</url> </repository> </repositories> <pluginRepositories> <pluginRepository> <id>scala-tools.org</id> <name>Scala-Tools Maven2 Repository</name> <url>http://scala-tools.org/repo-releases</url> </pluginRepository> </pluginRepositories> <dependencies> <dependency> <groupId>org.scala-lang</groupId> <artifactId>scala-library</artifactId> <version>${scala.version}</version> </dependency> <dependency> <groupId>junit</groupId> <artifactId>junit</artifactId> <version>3.8.1</version> <scope>test</scope> </dependency> <dependency> <groupId>org.specs</groupId> <artifactId>specs</artifactId> <version>1.2.5</version> <scope>test</scope> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-core_2.10</artifactId> <version>${spark.version}</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-sql_2.10</artifactId> <version>${spark.version}</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-hive_2.10</artifactId> <version>${spark.version}</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-streaming_2.10</artifactId> <version>${spark.version}</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-mllib_2.10</artifactId> <version>${spark.version}</version> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-client</artifactId> <version>${hadoop.version}</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-streaming-kafka_2.10</artifactId> <version>${spark.version}</version> </dependency> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> <version>5.1.6</version> </dependency> <dependency> <groupId>org.json</groupId> <artifactId>json</artifactId> <version>20090211</version> </dependency> <dependency> <groupId>com.fasterxml.jackson.core</groupId> <artifactId>jackson-core</artifactId> <version>2.4.3</version> </dependency> <dependency> <groupId>com.fasterxml.jackson.core</groupId> <artifactId>jackson-databind</artifactId> <version>2.4.3</version> </dependency> <dependency> <groupId>com.fasterxml.jackson.core</groupId> <artifactId>jackson-annotations</artifactId> <version>2.4.3</version> </dependency> <dependency> <groupId>com.alibaba</groupId> <artifactId>fastjson</artifactId> <version>1.1.41</version> </dependency> <dependency> <groupId>fastutil</groupId> <artifactId>fastutil</artifactId> <version>5.0.9</version> </dependency> </dependencies> <build> <sourceDirectory>src/main/scala</sourceDirectory> <testSourceDirectory>src/test/scala</testSourceDirectory> <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>${scala.version}</scalaVersion> <args> <arg>-target:jvm-1.5</arg> </args> </configuration> </plugin> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-eclipse-plugin</artifactId> <configuration> <downloadSources>true</downloadSources> <buildcommands> <buildcommand>ch.epfl.lamp.sdt.core.scalabuilder</buildcommand> </buildcommands> <additionalProjectnatures> <projectnature>ch.epfl.lamp.sdt.core.scalanature</projectnature> </additionalProjectnatures> <classpathContainers> <classpathContainer>org.eclipse.jdt.launching.JRE_CONTAINER</classpathContainer> <classpathContainer>ch.epfl.lamp.sdt.launching.SCALA_CONTAINER</classpathContainer> </classpathContainers> </configuration> </plugin> </plugins> </build> <reporting> <plugins> <plugin> <groupId>org.scala-tools</groupId> <artifactId>maven-scala-plugin</artifactId> <configuration> <scalaVersion>${scala.version}</scalaVersion> </configuration> </plugin> </plugins> </reporting> </project>
4、项目基础架构
新建两个子包:collector与 core
collector:存放 数据采集相关spark作业
core:存放核心业务类spark作业
resource目录下存放相关配置文件:数据库连接信息,kafka环境信息等,
其他的后续根据具体模块功能个再自行定义。
5、本地环境测试
编写 FrameworkExeTest类对框架可用性进行测试
package com.pl.bdeu.bigdata import org.apache.commons.logging.LogFactory import org.apache.spark.{SparkConf, SparkContext} /** * author pengych@pl.com * date 2016/7/24 * function 框架可用性测试 * 执行结果: (hello,2) (pl,1) (fantasia,1) */ object FrameworkExeTest { def main(args: Array[String]) { val log = LogFactory.getLog("FrameworkExeTest") val conf = new SparkConf().setMaster("local[*]").setAppName("fantasia framework test") val sc = new SparkContext(conf) if(log.isDebugEnabled){ log.debug(" SparkContext initialized") } val linesRDD= sc.textFile("E:\\wordcount.txt") linesRDD.flatMap(line => line.split(" ") ).map( word => (word,1) ).reduceByKey(_+_). collect.foreach(println) sc.stop() } }
总结
耐心很重要,因为网速很可能很慢别在idea加载依赖包的时候手动干掉正在加载的进程,这样很可能导致各种找不到包的情况.
在maven的安装目录: ~\apache-maven-3.3.9\conf\settings.xml的标签里自定义repository路径
本文指定repository的路径为:E:\apache-maven-3.3.9\repository
<settings xmlns="http://maven.apache.org/SETTINGS/1.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/SETTINGS/1.0.0 http://maven.apache.org/xsd/settings-1.0.0.xsd"> <localRepository>E:\apache-maven-3.3.9\repository</localRepository>
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