Github user kiszk commented on the issue:
https://github.com/apache/spark/pull/13704
@cloud-fan I think ```value#63``` is ```UnsafeArrayData```.
When I ran a DataFrame program, I got the following trees. Since operations
for DataFrame access data in UnsafeArrayData, I think that ```LocalRelation```
and ```LocalTableScan``` keep an array as ```UnsafeArrayData```.
```
val df = Seq(Array(1.0, 2.0, 3.0), Array(4.0, 5.0, 6.0)).toDF()
val df2 = df.selectExpr("value[0] + value[1] + value[2]")
df2.show
df2.explain(true)
== Analyzed Logical Plan ==
((value[0] + value[1]) + value[2]): double
Project [((value#63[0] + value#63[1]) + value#63[2]) AS ((value[0] +
value[1]) + value[2])#67]
+- LocalRelation [value#63]
== Optimized Logical Plan ==
LocalRelation [((value[0] + value[1]) + value[2])#67]
== Physical Plan ==
LocalTableScan [((value[0] + value[1]) + value[2])#67]
```
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