[jira] [Assigned] (SPARK-7231) Make SparkR DataFrame API more dplyr friendly
[ https://issues.apache.org/jira/browse/SPARK-7231?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-7231: --- Assignee: Apache Spark (was: Shivaram Venkataraman) Make SparkR DataFrame API more dplyr friendly - Key: SPARK-7231 URL: https://issues.apache.org/jira/browse/SPARK-7231 Project: Spark Issue Type: Sub-task Components: SparkR Affects Versions: 1.4.0 Reporter: Shivaram Venkataraman Assignee: Apache Spark Priority: Critical This ticket tracks auditing the SparkR dataframe API and ensuring that the API is friendly to existing R users. Mainly we wish to make sure the DataFrame API we expose has functions similar to those which exist on native R data frames and in popular packages like `dplyr`. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-7231) Make SparkR DataFrame API more dplyr friendly
[ https://issues.apache.org/jira/browse/SPARK-7231?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Shivaram Venkataraman reassigned SPARK-7231: Assignee: Shivaram Venkataraman Make SparkR DataFrame API more dplyr friendly - Key: SPARK-7231 URL: https://issues.apache.org/jira/browse/SPARK-7231 Project: Spark Issue Type: Sub-task Components: SparkR Affects Versions: 1.4.0 Reporter: Shivaram Venkataraman Assignee: Shivaram Venkataraman Priority: Critical This ticket tracks auditing the SparkR dataframe API and ensuring that the API is friendly to existing R users. Mainly we wish to make sure the DataFrame API we expose has functions similar to those which exist on native R data frames and in popular packages like `dplyr`. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
