[
https://issues.apache.org/jira/browse/SPARK-20267?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Marcelo Vanzin resolved SPARK-20267.
------------------------------------
Resolution: Won't Fix
Regardless of the merits, it's a public API and now it's too late to even have
the conversation.
> Dataset should be camel-cased to match DatFrame
> -----------------------------------------------
>
> Key: SPARK-20267
> URL: https://issues.apache.org/jira/browse/SPARK-20267
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.0.0, 2.0.1, 2.1.0
> Reporter: Kevin Mc Inerney
> Priority: Minor
> Original Estimate: 48h
> Remaining Estimate: 48h
>
> SInce a Dataset is a typed DataFrame it doesn't maker sense that DataFrame is
> camel-cased and Dataset is not. I think they should both be camel-cased to
> avoid confusion.
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
