详情参考：
https://cwiki.apache.org/confluence/display/Hive/Hive+on+Spark%3A+Getting+Started
https://blog.csdn.net/gulugulu_gulu/article/details/105706090
https://blog.csdn.net/yoshubom/article/details/113845190
https://blog.csdn.net/weixin_52918377/article/details/117123969?spm=1001.2101.3001.6650.8&utm_medium=distribute.pc_relevant.none-task-blog-2%7Edefault%7EBlogCommendFromBaidu%7ERate-8-117123969-blog-119000138.pc_relevant_antiscanv3&depth_1-utm_source=distribute.pc_relevant.none-task-blog-2%7Edefault%7EBlogCommendFromBaidu%7ERate-8-117123969-blog-119000138.pc_relevant_antiscanv3&utm_relevant_index=12

Hive的版本和Spark的版本要匹配；

具体来说，你使用的Hive版本编译时候用的哪个版本的Spark，那么就需要使用相同版本的Spark，可以在Hive的pom.xml中查看spark.version来确定；

Hive root pom.xml’s defines what version of Spark it was built/tested with.

Spark使用的jar包，必须是没有集成Hive的；

也就是说，编译时候没有指定-Phive.

一般官方提供的编译好的Spark下载，都是集成了Hive的，因此这个需要另外编译。

Note that you must have a version of Spark which does not include the Hive jars. Meaning one which was not built with the Hive profile.

如果不注意版本问题，则会遇到各种错误，比如：

Caused by: java.lang.NoClassDefFoundError: org/apache/hive/spark/client/Job
Caused by: java.lang.ClassNotFoundException: org.apache.hive.spark.client.Job

编译很简单，下载spark-1.5.0的源码，使用命令：

mvn -Pyarn -Phadoop-2.3 -Dhadoop.version=2.3.0-cdh5.0.0 -DskipTests -Dscala-2.10 clean package

Hive3.1.2和Spark3.0.x版本冲突
https://blog.csdn.net/rfdjds/article/details/125389450