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https://issues.apache.org/jira/browse/SPARK-16060?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16203064#comment-16203064
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Rajiv Chodisetti commented on SPARK-16060:
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Will this fix, this issue the below issue as well , where reading ORC metadata
reading is very slow when input data storage is S3 ?
https://forums.databricks.com/questions/12499/parquet-vs-orc-s3-metadata-read-performance.html
> Vectorized Orc reader
> ---------------------
>
> Key: SPARK-16060
> URL: https://issues.apache.org/jira/browse/SPARK-16060
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Reporter: Liang-Chi Hsieh
>
> Currently Orc reader in Spark SQL doesn't support vectorized reading. As Hive
> Orc already support vectorization, we should add this support to improve Orc
> reading performance.
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