[
https://issues.apache.org/jira/browse/SPARK-31123?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Mikel San Vicente updated SPARK-31123:
--------------------------------------
Description:
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 drops the column
joined.select(dupCol) // It selects the column
{code}
was:
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}
> 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
> Priority: Minor
>
>
> 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 drops the column
> joined.select(dupCol) // It selects the column
> {code}
>
>
>
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
