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Posted to issues@spark.apache.org by "Suresh Thalamati (JIRA)" <ji...@apache.org> on 2016/03/29 01:37:25 UTC

[jira] [Created] (SPARK-14218) dataset show() does not display column names in the correct order if underlying data frame schema order is different from the encoder schema order.

Suresh Thalamati created SPARK-14218:
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             Summary: 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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