[ https://issues.apache.org/jira/browse/SPARK-20267?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Kevin Mc Inerney updated SPARK-20267: ------------------------------------- Shepherd: Reynold Xin > 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