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https://issues.apache.org/jira/browse/SPARK-12988?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15118319#comment-15118319
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Dilip Biswal commented on SPARK-12988:
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[~marmbrus] Hi Michael, need your input on the semantics.
Say we have a dataframe defined like following :
val df = Seq((1, 1,1,1,1,1)).toDF("a_b", "a.c", "`a.c`")
df.drop("a.c") => Should we remove the 2nd column here ?
df.drop("`a.c`") => Should we remove the 3rd column here ?
Regards,
-- Dilip
> Can't drop columns that contain dots
> ------------------------------------
>
> Key: SPARK-12988
> URL: https://issues.apache.org/jira/browse/SPARK-12988
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.0
> Reporter: Michael Armbrust
>
> Neither of theses works:
> {code}
> val df = Seq((1, 1)).toDF("a_b", "a.c")
> df.drop("a.c").collect()
> df: org.apache.spark.sql.DataFrame = [a_b: int, a.c: int]
> {code}
> {code}
> val df = Seq((1, 1)).toDF("a_b", "a.c")
> df.drop("`a.c`").collect()
> df: org.apache.spark.sql.DataFrame = [a_b: int, a.c: int]
> {code}
> Given that you can't use drop to drop subfields, it seems to me that we
> should treat the column name literally (i.e. as though it is wrapped in back
> ticks).
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