如何使用spark-shell导入自己的scala包？

Question

我已经写了spark-ml库的一个类，它使用了另一个类。 如果要清楚，我的类是RandomForestClassifier的包装。 现在我想有机会从spark-shell导入这个类。

所以问题是：如何制作包含我自己的类的包，它将能够从spark-shell导入？非常感谢！

Answer 1

阅读文档：

In the Spark shell, a special interpreter-aware SparkContext is already created for you, in the variable called sc. Making your own SparkContext will not work. You can set which master the context connects to using the --master argument, and you can add JARs to the classpath by passing a comma-separated list to the --jars argument. You can also add dependencies (e.g. Spark Packages) to your shell session by supplying a comma-separated list of maven coordinates to the --packages argument. Any additional repositories where dependencies might exist (e.g. SonaType) can be passed to the --repositories argument.

Answer 2

如果要导入未编译的文件，如Hello.scala，火花壳做如下：

scala> :load ./src/main/scala/Hello.scala