1.新建项目 
2.配置maven



3.下载scala插件

4.创建scala,设置为源代码根目录
5.文件-项目结构,添加scala支持



6.将pom.xml文件中内容替换为一下内容,添加为maven项目并下载依赖
<?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>org.example</groupId>
<artifactId>hadooptest</artifactId>
<version>1.0-SNAPSHOT</version>
<properties>
<maven.compiler.source>8</maven.compiler.source>
<maven.compiler.target>8</maven.compiler.target>
<flink.version>1.14.0</flink.version>
<scala.version>2.12.15</scala.version>
<hive.version>3.1.3</hive.version>
<mysqlconnect.version>5.1.37</mysqlconnect.version>
<hdfs.version>3.1.4</hdfs.version>
<spark.version>3.0.3</spark.version>
<hbase.version>2.2.3</hbase.version>
<kafka.version>2.4.1</kafka.version>
<lang3.version>3.9</lang3.version>
<flink-connector-redis.verion>1.1.5</flink-connector-redis.verion>
</properties>
<dependencies>
<dependency>
<groupId>org.apache.logging.log4j</groupId>
<artifactId>log4j-core</artifactId>
<version>2.14.1</version> <!-- 请使用最新版本 -->
</dependency>
<dependency>
<groupId>org.apache.logging.log4j</groupId>
<artifactId>log4j-api</artifactId>
<version>2.14.1</version> <!-- 请使用最新版本 -->
</dependency>
<dependency>
<groupId>org.scala-lang</groupId>
<artifactId>scala-reflect</artifactId>
<version>${scala.version}</version>
</dependency>
<dependency>
<groupId>org.scala-lang</groupId>
<artifactId>scala-compiler</artifactId>
<version>${scala.version}</version>
</dependency>
<dependency>
<groupId>org.scala-lang</groupId>
<artifactId>scala-library</artifactId>
<version>${scala.version}</version>
</dependency>
<!-- kafka -->
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka_2.12</artifactId>
<version>${kafka.version}</version>
</dependency>
<!-- flink 实时处理 -->
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-runtime-web_2.12</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-streaming-scala_2.12</artifactId>
<version>${flink.version}</version>
</dependency>
<!--flink连接kafka配置-->
<!--配置redis链接-->
<dependency>
<groupId>org.apache.bahir</groupId>
<artifactId>flink-connector-redis_2.12</artifactId>
<version>1.1.0</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-kafka_2.12</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-json</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-table-planner_2.12</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-table-api-scala-bridge_2.12</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-clients_2.12</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-redis_2.11</artifactId>
<exclusions>
<exclusion>
<groupId>org.apache.flink</groupId>
<artifactId>flink-shaded-hadoop2</artifactId>
</exclusion>
<exclusion>
<groupId>org.apache.commons</groupId>
<artifactId>commons-lang3</artifactId>
</exclusion>
</exclusions>
<version>${flink-connector-redis.verion}</version>
</dependency>
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-lang3</artifactId>
<version>${lang3.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-hive_2.12 </artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-hbase-2.2_2.12</artifactId>
<version>${flink.version}</version>
</dependency>
<!-- mysql连接器 -->
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>8.0.27</version>
</dependency>
<!-- spark处理离线 -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.12</artifactId>
<exclusions>
<exclusion>
<groupId>org.apache.hive</groupId>
<artifactId>hive-exec</artifactId>
</exclusion>
</exclusions>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.12</artifactId>
<exclusions>
<exclusion>
<groupId>org.apache.hive</groupId>
<artifactId>hive-exec</artifactId>
</exclusion>
</exclusions>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-hive_2.12</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-hive-thriftserver_2.12</artifactId>
<version>3.1.2</version>
<scope>provided</scope>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.hive/hive-jdbc -->
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-jdbc</artifactId>
<version>3.1.3</version>
</dependency>
<!-- hadoop相关 -->
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-auth</artifactId>
<version>${hdfs.version}</version>
</dependency>
<!-- hbase 相关 -->
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-client</artifactId>
<version>${hbase.version}</version>
</dependency>
</dependencies>
<build>
<resources>
<resource>
<directory>src/main/scala</directory>
</resource>
<resource>
<directory>src/main/java</directory>
</resource>
<resource>
<directory>src/main/resources</directory>
</resource>
</resources>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<version>3.1</version>
<configuration>
<source>8</source>
<target>8</target>
</configuration>
</plugin>
</plugins>
</build>
</project>


7.创建scala类


输入main后tab会补全主方法

