Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/14719#discussion_r78271331
--- Diff: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
---
@@ -1580,6 +1583,28 @@ class DataFrameSuite extends QueryTest with
SharedSQLContext {
assert(df.persist.take(1).apply(0).toSeq(100).asInstanceOf[Long] ==
100)
}
+ test("""SPARK-17154: df("column_name") should return correct result when
we do self-join""") {
--- End diff --
Although I can't immediately think out the actual use case the self-join of
two same Datasets, I am still wondering do we want to disallow it?
Conceptually, it should work, even you can't select columns from it due to
ambiguousness. But I think you can still save it or do other operators on it.
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