Github user gatorsmile commented on the pull request: https://github.com/apache/spark/pull/12599#issuecomment-213265063 ``` == Optimized Logical Plan == Project [user#7,recommendations#48 AS prediction#77,actual#65 AS label#78] +- Join Inner, Some((user#7 = id#64)) :- Project [user#7,recommendations#48] : +- Join Inner, Some((user#7 = id#47)) : :- Aggregate [user#7], [user#7] : : +- LocalRelation [user#7], [[0],[0],[0],[1],[1],[1],[2],[2],[2]] : +- Project [_1#44 AS id#47,_2#45 AS recommendations#48] : +- LogicalRDD [_1#44,_2#45], MapPartitionsRDD[19] at rddToDatasetHolder at ALS.scala:335 +- Project [_1#61 AS id#64,_2#62 AS actual#65] +- Filter isnotnull(_1#61) +- SerializeFromObject [input[0, scala.Tuple2]._1 AS _1#61,newInstance(class org.apache.spark.sql.catalyst.util.GenericArrayData) AS _2#62] +- MapGroups <function2>, value#55: int, newInstance(class scala.Tuple2), [value#55], [user#7,item#8], obj#60: scala.Tuple2 +- AppendColumns <function1>, newInstance(class scala.Tuple2), [input[0, int] AS value#55] +- LocalRelation [user#7,item#8], [[0,3],[0,4],[0,5],[1,3],[1,5],[1,4],[2,3],[2,5],[2,4]] ``` How about this plan? I am still unable to catch your main points.
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