[jira] [Assigned] (SPARK-20682) Support a new faster ORC data source based on Apache ORC

2017-05-09 Thread Apache Spark (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-20682?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-20682:


Assignee: Apache Spark

> Support a new faster ORC data source based on Apache ORC
> 
>
> Key: SPARK-20682
> URL: https://issues.apache.org/jira/browse/SPARK-20682
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 1.4.1, 1.5.2, 1.6.3, 2.1.1
>Reporter: Dongjoon Hyun
>Assignee: Apache Spark
>
> Since SPARK-2883, Apache Spark supports Apache ORC inside `sql/hive` module 
> with Hive dependency. This issue aims to add a new and faster ORC data source 
> inside `sql/core` and to replace the old ORC data source eventually. In this 
> issue, the latest Apache ORC 1.4.0 (released yesterday) is used.
> There are four key benefits.
> - Speed: Use both Spark `ColumnarBatch` and ORC `RowBatch` together. This is 
> faster than the current implementation in Spark.
> - Stability: Apache ORC 1.4.0 has many fixes and we can depend on ORC 
> community more.
> - Usability: User can use `ORC` data sources without hive module, i.e, 
> `-Phive`.
> - Maintainability: Reduce the Hive dependency and can remove old legacy code 
> later.



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[jira] [Assigned] (SPARK-20682) Support a new faster ORC data source based on Apache ORC

2017-05-09 Thread Apache Spark (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-20682?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-20682:


Assignee: (was: Apache Spark)

> Support a new faster ORC data source based on Apache ORC
> 
>
> Key: SPARK-20682
> URL: https://issues.apache.org/jira/browse/SPARK-20682
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 1.4.1, 1.5.2, 1.6.3, 2.1.1
>Reporter: Dongjoon Hyun
>
> Since SPARK-2883, Apache Spark supports Apache ORC inside `sql/hive` module 
> with Hive dependency. This issue aims to add a new and faster ORC data source 
> inside `sql/core` and to replace the old ORC data source eventually. In this 
> issue, the latest Apache ORC 1.4.0 (released yesterday) is used.
> There are four key benefits.
> - Speed: Use both Spark `ColumnarBatch` and ORC `RowBatch` together. This is 
> faster than the current implementation in Spark.
> - Stability: Apache ORC 1.4.0 has many fixes and we can depend on ORC 
> community more.
> - Usability: User can use `ORC` data sources without hive module, i.e, 
> `-Phive`.
> - Maintainability: Reduce the Hive dependency and can remove old legacy code 
> later.



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