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https://issues.apache.org/jira/browse/SPARK-14218?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15215098#comment-15215098
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Suresh Thalamati commented on SPARK-14218:
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I am giving a shot at submitting PR for this issue.
> dataset show() does not display column names in the correct order if
> underlying data frame schema order is different from the encoder schema
> order.
> ----------------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-14218
> URL: https://issues.apache.org/jira/browse/SPARK-14218
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.0
> Reporter: Suresh Thalamati
>
> dataset show does not output column names correctly if the encoder schema
> order is different from the the underlying data frame schema order.
> Repro :
> {code}
> case class emp(id: Int, name:String)
> val df = sqlContext.sql("select 'Mike', 2").toDF("name", "id")
val ds =
> df.as[emp]
> +----+----+
> |name| id|
>
+----+----+
> | 2|Mike|
> +----+----+{code}
> Output Column names should be “id , name” to match with data correctly.
> This works correctly in spark 1.6 . Output in spark 1.6:
> {code}
> scala> ds.show
> +---+----+
> | id|name|
> +---+----+
> | 2|Mike|
> +---+----+
> {code}
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