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https://issues.apache.org/jira/browse/SPARK-23273?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Henrique dos Santos Goulart closed SPARK-23273.
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> Spark Dataset withColumn - schema column order isn't the same as case class
> paramether order
> --------------------------------------------------------------------------------------------
>
> Key: SPARK-23273
> URL: https://issues.apache.org/jira/browse/SPARK-23273
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.2.1
> Reporter: Henrique dos Santos Goulart
> Priority: Major
>
> {code:java}
> case class OnlyAge(age: Int)
> case class NameAge(name: String, age: Int)
> val ds1 = spark.emptyDataset[NameAge]
> val ds2 = spark
> .createDataset(Seq(OnlyAge(1)))
> .withColumn("name", lit("henriquedsg89"))
> .as[NameAge]
> ds1.show()
> ds2.show()
> ds1.union(ds2)
> {code}
>
> It's going to raise this error:
> {noformat}
> Cannot up cast `age` from string to int as it may truncate
> The type path of the target object is:
> - field (class: "scala.Int", name: "age")
> - root class: "dw.NameAge"{noformat}
> It seems that .as[CaseClass] doesn't keep the order of paramethers that is
> typed on case class.
> If I change the case class paramether order, it's going to work... like:
> {code:java}
> case class NameAge(age: Int, name: String){code}
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