spark mac intellij idea开发环境

1.先安装好java sdk，配置好java环境变量

2.安装spark scala

可以直接brew安装，也可下载安装

$ brew update$ brew info apache-spark$ brew install apache-spark

$ brew install scala$ brew install sbt

scala下载地址http://www.scala-lang.org/download/

3.安装intellij idea

下载地址http://www.jetbrains.com/idea/download;社区版community免费，个人的话就下载这个

安装好之后打开idea，安装scala插件和sbt插件；preferences--》plugins--》browse repositories

搜索scala后点击install安装

4.建立工程

（1）file-->new project 选择scala sbt

点击File-Project Structure-Libraries，点击+号-scala SDK，添加scala sdk

编辑build.sbt文件，添加Spark依赖，编译的时候缺少的库可以在这里添加

libraryDependencies += "org.apache.spark" % "spark-core_2.11" % "2.0.0"

Scala版本对应的可在Spark官网查询；下载较慢，最好有翻墙。有时下载中断再触发，需要使用sbt命令package

（2）使用maven创建工程

默认创建的是java工程，那么要将src下的java目录改为scala目录名，并且在工程setting里面将scala目录改为src目录。

然后就是修改pom xml文件了，

<?xml version="1.0" encoding="UTF-8"?><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.wl</groupId>    <artifactId>sparktest</artifactId>    <version>1.0-SNAPSHOT</version>    <properties>        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>        <spark.version>2.2.0</spark.version>        <scala.version>2.11</scala.version>        <hadoop.version>2.7.3</hadoop.version>    </properties>    <dependencies>        <!-- https://mvnrepository.com/artifact/org.apache.spark/spark-core_2.11 -->        <dependency>            <groupId>org.apache.spark</groupId>            <artifactId>spark-core_${scala.version}</artifactId>            <version>${spark.version}</version>            <scope>provided</scope>        </dependency>        <dependency>            <groupId>org.apache.spark</groupId>            <artifactId>spark-sql_${scala.version}</artifactId>            <version>${spark.version}</version>        </dependency>        <dependency>            <groupId>org.apache.spark</groupId>            <artifactId>spark-hive_${scala.version}</artifactId>            <version>${spark.version}</version>        </dependency>        <dependency>            <groupId>org.apache.spark</groupId>            <artifactId>spark-streaming_${scala.version}</artifactId>            <version>${spark.version}</version>        </dependency>        <dependency>            <groupId>org.apache.hadoop</groupId>            <artifactId>hadoop-client</artifactId>            <version>2.7.3</version>        </dependency>        <dependency>            <groupId>org.apache.spark</groupId>            <artifactId>spark-mllib_${scala.version}</artifactId>            <version>${spark.version}</version>        </dependency>        <dependency>            <groupId>mysql</groupId>            <artifactId>mysql-connector-java</artifactId>            <version>5.1.39</version>        </dependency>        <dependency>            <groupId>junit</groupId>            <artifactId>junit</artifactId>            <version>4.12</version>        </dependency>    </dependencies>    <repositories>        <repository>            <id>central</id>            <name>Maven Repository Switchboard</name>            <layout>default</layout>            <url>http://repo2.maven.org/maven2</url>            <snapshots>                <enabled>false</enabled>            </snapshots>        </repository>    </repositories>    <build>        <sourceDirectory>src/main/scala</sourceDirectory>        <testSourceDirectory>src/test/scala</testSourceDirectory>        <plugins>            <plugin>                <!-- MAVEN 编译使用的JDK版本 -->                <groupId>org.apache.maven.plugins</groupId>                <artifactId>maven-compiler-plugin</artifactId>                <version>3.5</version>                <configuration>                    <source>1.8</source>                    <target>1.8</target>                    <encoding>UTF-8</encoding>                </configuration>            </plugin>        </plugins>    </build></project>