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Posted to issues@spark.apache.org by "Rajiv Chodisetti (JIRA)" <ji...@apache.org> on 2017/10/13 05:18:03 UTC

[jira] [Commented] (SPARK-16060) Vectorized Orc reader

    [ https://issues.apache.org/jira/browse/SPARK-16060?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16203064#comment-16203064 ] 

Rajiv Chodisetti commented on SPARK-16060:
------------------------------------------

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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