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