[ https://issues.apache.org/jira/browse/SPARK-20682?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16003326#comment-16003326 ]
Dongjoon Hyun commented on SPARK-20682: --------------------------------------- Yep. That was a old huddle before 1.4.0. 1.4.0 provides `nohive` artifacts, too. https://repo.maven.apache.org/maven2/org/apache/orc/orc-core/1.4.0/ I'll make a PR soon as a POC. > 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 with hive module, i.e, `-Phive`. > - Maintainability: Reduce the Hive dependency and can remove old legacy code > later. -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org