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Posted to issues@spark.apache.org by "Sagara Paranagama (JIRA)" <ji...@apache.org> on 2017/06/30 09:01:00 UTC

[jira] [Commented] (SPARK-15533) Deprecate Dataset.explode

    [ https://issues.apache.org/jira/browse/SPARK-15533?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16069741#comment-16069741 ] 

Sagara Paranagama commented on SPARK-15533:
-------------------------------------------

Let's say I have a Dataframe with the following schema 

[id: String,  arr: Array[String]],  with example values like 
"myID", ["value1", "value2"] 

and I want to explode it to obtain the following schema 
[id: String, val: String] with the following values
"myID", "value1"
"myID", "value2"

Is this possible when Dataset.explode is deprecated? When using function.explode with select, I lose the rest of my Dataframe columns.


> Deprecate Dataset.explode
> -------------------------
>
>                 Key: SPARK-15533
>                 URL: https://issues.apache.org/jira/browse/SPARK-15533
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>            Reporter: Reynold Xin
>            Assignee: Sameer Agarwal
>             Fix For: 2.0.0
>
>
> See discussion on the mailing list: http://mail-archives.apache.org/mod_mbox/spark-user/201605.mbox/browser
> We should deprecate Dataset.explode, and point users to Dataset.flatMap and functions.explode with select.



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