spark streaming消费kafka的数据 并写入HDFS和直接写hive表 （scala版本）

1. 首先我消费的kafka的数据的类型为json类型数据 
2. 话不多说直接上代码
3. 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/maven-v4_0_0.xsd">
     <modelVersion>4.0.0</modelVersion>
     <groupId>hive_sql</groupId>
     <artifactId>hive_sql</artifactId>
     <version>1.0-SNAPSHOT</version>
     <inceptionYear>2008</inceptionYear>
     <properties>
       <scala.version>2.7.0</scala.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>2.12.12</version>
       </dependency>
   
       <dependency>
         <groupId>com.alibaba</groupId>
         <artifactId>fastjson</artifactId>
         <version>1.2.47</version>
       </dependency>
   
       <dependency>
         <groupId>org.apache.spark</groupId>
         <artifactId>spark-sql_2.12</artifactId>
         <version>2.4.3</version>
       </dependency>
   
       <dependency>
         <groupId>or