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SparkRunnable

Description

This is the minimal definition of the Spark application, which only needs a Spark context or session and some application configuration.

/**
 * Trivial trait for creating basic runnable Spark applications.
 * These runnable still needs a runner or an app to run.
 *
 * @tparam Context the type of the application context class.
 * @tparam Result The output type of the run function.
 *
 */
trait SparkRunnable[Context, Result] {

  /**
   * This function needs to be implemented and should contain the entire runnable logic.
   *
   * @param context context instance that should contain all the application specific configuration
   * @param spark active spark session
   * @return
   */
  def run(implicit spark: SparkSession, context: Context): Try[Result]

}

Using this API is fairly easy, and it comes down mainly to defining the run() function.

One should always think about the return type of the SparkRunnable is about to create, though SparkRunnable[Config, Unit] is also possible.

The Context can be seen as the application configuration and in most of the cases the most basic case class will suffice.

The main use of the SparkRunnable is through the implementation of the SparkApp trait.