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Posted to issues@spark.apache.org by "Rajiv Chodisetti (JIRA)" <ji...@apache.org> on 2017/10/13 05:19:00 UTC
[jira] [Comment Edited] (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 edited comment on SPARK-16060 at 10/13/17 5:18 AM:
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Will this fix 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
was (Author: rajivchodisetti):
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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