Convert Spark Dataframe to Dataset with MapStruct

When using Apache Spark with Java there is a pretty common use case of converting Spark's Dataframes to POJO-based Datasets. The thing is that many times your Dataframe is imported from a database in which the column namings and types are different from your POJO.

Example for this can be found on the following Stackoverflow question (which has been solved programmatically with a map and rename functions). I was wondering if that example could be solved with MapStruct (and maybe would be added to this examples repo).

首先查看 mapstruct-examples 仓库和链接的 Stack Overflow 问题，以了解所请求的 Spark DataFrame 到 Dataset 的转换。确定适合放置 Spark 和 Java 示例的位置，然后确定 MapStruct 是否能够处理不同的数据库列名和 POJO 字段类型。当有一个涵盖该转换的、文档齐全且可运行的示例时，即视为完成。