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https://issues.apache.org/jira/browse/SPARK-15577?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15563910#comment-15563910
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Jakob Odersky edited comment on SPARK-15577 at 10/10/16 11:41 PM:
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This was considered and trade-offs were actively discussed, but ultimately the
type alias was chosen over sub classing.
I think a principal argument in favor of aliasing was to avoid
incompatibilities in future libraries, i.e. there is utility function was
written to accept a {{DataFrame}}, however I want to pass in a
{{Dataset\[Row\]}}.
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was (Author: jodersky):
This was considered and trade-offs were actively discussed, but ultimately the
type alias was chosen over sub classing.
I think the main argument in favor of aliasing was to avoid incompatibilities
in future libraries, i.e. there is utility function was written to accept a
{{DataFrame}}, however I want to pass in a {{Dataset\[Row\]}}.
[This email thread|
http://apache-spark-developers-list.1001551.n3.nabble.com/discuss-DataFrame-vs-Dataset-in-Spark-2-0-td16445.html]
contains the whole discussion
> Java can't import DataFrame type alias
> --------------------------------------
>
> Key: SPARK-15577
> URL: https://issues.apache.org/jira/browse/SPARK-15577
> Project: Spark
> Issue Type: Improvement
> Components: Java API, SQL
> Affects Versions: 2.0.0
> Reporter: holdenk
>
> After SPARK-13244, all Java code needs to be updated to use Dataset<Row>
> instead of DataFrame as we used a type alias. Should we consider adding a
> DataFrame to the Java API which just extends Dataset<Row> for compatibility?
> cc [~liancheng] ?
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