[
https://issues.apache.org/jira/browse/SPARK-35756?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17365579#comment-17365579
]
Wassim Almaaoui edited comment on SPARK-35756 at 6/18/21, 4:26 PM:
-------------------------------------------------------------------
I was not expecting this to work, we don't have any missing column in this
case, its only about positions and names. Shouldn't this be the default
behaviour of `unionByName`?
was (Author: walmaaoui):
I was not expecting this to work, we don't have any missing data in this case,
its only about positions and names. Shouldn't this be the default behaviour of
`unionByName`?
> unionByName should support nested struct also
> ---------------------------------------------
>
> Key: SPARK-35756
> URL: https://issues.apache.org/jira/browse/SPARK-35756
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.1.1
> Reporter: Wassim Almaaoui
> Priority: Major
>
> It would be cool if `unionByName` supports also nested struct. I don't kwon
> if it's the expected behaviour already or not so I am not sure if its a bug
> or an improvement proposal.
> {code:java}
> case class Struct1(c1: Int, c2: Int)
> case class Struct2(c2: Int, c1: Int)
> val ds1 = Seq((1, Struct1(1,2))).toDS
> val ds2 = Seq((1, Struct2(1,2))).toDS
> ds1.unionByName(ds2.as[(Int,Struct1)]) {code}
> gives
> {code:java}
> org.apache.spark.sql.AnalysisException: Union can only be performed on tables
> with the compatible column types. struct<c2:int,c1:int> <>
> struct<c1:int,c2:int> at the second column of the second table; 'Union false,
> false :- LocalRelation [_1#38, _2#39] +- LocalRelation _1#45, _2#46
> {code}
> The code documentation of the function `unionByName` says `Note that
> allowMissingColumns supports nested column in struct types` but doesn't say
> if the function itself supports the nested column ordering or not.
>
>
--
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
