[jira] [Commented] (SPARK-7231) Make SparkR DataFrame API more dplyr friendly
[ https://issues.apache.org/jira/browse/SPARK-7231?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14705165#comment-14705165 ] Apache Spark commented on SPARK-7231: - User 'liancheng' has created a pull request for this issue: https://github.com/apache/spark/pull/8341 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 Fix For: 1.4.0 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] [Commented] (SPARK-7231) Make SparkR DataFrame API more dplyr friendly
[ https://issues.apache.org/jira/browse/SPARK-7231?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14534034#comment-14534034 ] Apache Spark commented on SPARK-7231: - User 'shivaram' has created a pull request for this issue: https://github.com/apache/spark/pull/6005 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
[jira] [Commented] (SPARK-7231) Make SparkR DataFrame API more dplyr friendly
[ https://issues.apache.org/jira/browse/SPARK-7231?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14536091#comment-14536091 ] Shivaram Venkataraman commented on SPARK-7231: -- Fixed by https://github.com/apache/spark/pull/6005 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
