[jira] [Assigned] (SPARK-12420) Have a built-in CSV data source implementation
[ https://issues.apache.org/jira/browse/SPARK-12420?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-12420: Assignee: Apache Spark > Have a built-in CSV data source implementation > -- > > Key: SPARK-12420 > URL: https://issues.apache.org/jira/browse/SPARK-12420 > Project: Spark > Issue Type: New Feature > Components: SQL >Reporter: Reynold Xin >Assignee: Apache Spark > Attachments: Built-in CSV datasource in Spark.pdf > > > CSV is the most common data format in the "small data" world. It is often the > first format people want to try when they see Spark on a single node. Having > to rely on a 3rd party component for this is a very bad user experience for > new users. > We should consider inlining https://github.com/databricks/spark-csv -- 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-12420) Have a built-in CSV data source implementation
[ https://issues.apache.org/jira/browse/SPARK-12420?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-12420: Assignee: (was: Apache Spark) > Have a built-in CSV data source implementation > -- > > Key: SPARK-12420 > URL: https://issues.apache.org/jira/browse/SPARK-12420 > Project: Spark > Issue Type: New Feature > Components: SQL >Reporter: Reynold Xin > Attachments: Built-in CSV datasource in Spark.pdf > > > CSV is the most common data format in the "small data" world. It is often the > first format people want to try when they see Spark on a single node. Having > to rely on a 3rd party component for this is a very bad user experience for > new users. > We should consider inlining https://github.com/databricks/spark-csv -- 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