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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