sanha opened a new pull request #28: [NEMO-12] Frontend support for Scala Spark URL: https://github.com/apache/incubator-nemo/pull/28 JIRA: [NEMO-12: Frontend support for Scala Spark](https://issues.apache.org/jira/projects/NEMO/issues/NEMO-12) **Major changes:** - Implement Scala side Spark frontend - Implement our `RDD` and `PairRDDFunctions` in Scala (due to the "implicit conversion" of Scala) - Move major IR DAG structuring implementation from `JavaRDD` / `JavaPairRDD` to `RDD` / `PairRDDFunctions` - Because Spark's `JavaRDD` takes `RDD` and we must follow this to extends `JavaRDD` and `JavaPairRDD` - Just convey function calls for `JavaRDD` and `JavaPairRDD` to `RDD` - Make the main implementation of transformations and actions in `RDD` take Java functions and regard the overridden methods which take Scala functions as wrappers - Convert Scala functions to Java functions in here through `SparkFrontendUtils` **Minor changes to note:** - Merge `java` and `scala` pacakage under `compiler.frontend.spark.core` - Support collection (not only for Object elements but) for primitive elements in `CollectTransform` - Add `SparkWordCount` programmed with Scala RDD **Tests for the changes:** - New integration tests in `SparkScalaITCase` that tests `SparkPi` and `SparkWordCount` programmed with Scala RDD cover these new features **Other comments:** - Pair function calls for our Scala RDD (such as groupByKey) will be automatically conveyed to our Scala PairRDDFunctions through implicit conversion just like Spark, so any extra code modification is not needed for Spark Scala program (except to change Spark’s SparkSession to our’s) resolves [NEMO-12: Frontend support for Scala Spark](https://issues.apache.org/jira/projects/NEMO/issues/NEMO-12)
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