[jira] [Resolved] (SPARK-25333) Ability to add new columns in Dataset in a user-defined position

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-25333?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-25333.
----------------------------------
    Resolution: Won't Fix

> Ability to add new columns in Dataset in a user-defined position
> ----------------------------------------------------------------
>
>                 Key: SPARK-25333
>                 URL: https://issues.apache.org/jira/browse/SPARK-25333
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.4.0
>            Reporter: Walid Mellouli
>            Priority: Minor
>              Labels: pull-request-available
>   Original Estimate: 2h
>  Remaining Estimate: 2h
>
> When we add new columns in a Dataset, they are added automatically at the end of the Dataset.
> Consider this data frame:
> {code:java}
> val df = sc.parallelize(Seq(1, 2, 3)).toDF
> df.printSchema
> root
>  |-- value: integer (nullable = true)
> {code}
> When we add a new column:
> {code:java}
> val newDf = df.withColumn("newColumn", col("value") + 1)
> newDf.printSchema
> root
>  |-- value: integer (nullable = true)
>  |-- newColumn: integer (nullable = true)
> {code}
> Generally users want to add new columns either at the end, in the beginning or in a defined position, depends on use cases.
>  In my case for example, we add technical columns in the beginning of a Dataset and we add business columns at the end.



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