Dongjoon Hyun created SPARK-20682: ------------------------------------- Summary: 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: 2.1.1, 1.6.3, 1.5.2, 1.4.1 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