Mikel San Vicente created SPARK-31123:
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Summary: Drop does not work after join with aliases
Key: SPARK-31123
URL: https://issues.apache.org/jira/browse/SPARK-31123
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.4.2
Reporter: Mikel San Vicente
Hi,
I am seeing a really strange behaviour in drop method after a join with
aliases. It doesn't seem to find the column when I reference to it using
dataframe("columnName") syntax, but it does work with other combinators like
select
{code:java}
case class Record(a: String, dup: String)
case class Record2(b: String, dup: String)
val df = Seq(Record("a", "dup")).toDF
val joined = df.alias("a").join(df2.alias("b"), df("a") === df2("b"))
val dupCol = df("dup")
joined.drop(dupCol) // Does not drop anything
joined.drop(func.col("a.dup")) // It works!
joined.select(dupCol) // It works!
{code}
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