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Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2018/01/31 07:43:00 UTC
[jira] [Updated] (SPARK-20682) Add new ORCFileFormat based on
Apache ORC
[ https://issues.apache.org/jira/browse/SPARK-20682?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiao Li updated SPARK-20682:
----------------------------
Labels: releasenotes (was: )
> Add new ORCFileFormat based on Apache ORC
> -----------------------------------------
>
> Key: SPARK-20682
> URL: https://issues.apache.org/jira/browse/SPARK-20682
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 1.4.1, 1.5.2, 1.6.3, 2.1.1, 2.2.0
> Reporter: Dongjoon Hyun
> Assignee: Dongjoon Hyun
> Priority: Major
> Labels: releasenotes
> Fix For: 2.3.0
>
>
> 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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