[jira] [Work logged] (HIVE-26699) Iceberg: S3 fadvise can hurt JSON parsing significantly in DWX

Wed, 14 Dec 2022 19:09:05 -0800 


     [ 
https://issues.apache.org/jira/browse/HIVE-26699?focusedWorklogId=833655&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-833655
 ]

ASF GitHub Bot logged work on HIVE-26699:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 15/Dec/22 03:08
            Start Date: 15/Dec/22 03:08
    Worklog Time Spent: 10m 
      Work Description: sonarcloud[bot] commented on PR #3862:
URL: https://github.com/apache/hive/pull/3862#issuecomment-1352500086

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Issue Time Tracking
-------------------

    Worklog Id:     (was: 833655)
    Time Spent: 20m  (was: 10m)

> Iceberg: S3 fadvise can hurt JSON parsing significantly in DWX
> --------------------------------------------------------------
>
>                 Key: HIVE-26699
>                 URL: https://issues.apache.org/jira/browse/HIVE-26699
>             Project: Hive
>          Issue Type: Improvement
>            Reporter: Rajesh Balamohan
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 20m
>  Remaining Estimate: 0h
>
> Hive reads JSON metadata information (TableMetadataParser::read()) multiple 
> times; E.g during query compilation, AM split computation, stats computation, 
> during commits  etc.
>  
> With large JSON files (due to multiple inserts), it takes a lot longer time 
> with S3 FS with "fs.s3a.experimental.input.fadvise" set to "random". (e.g in 
> the order of 10x).To be on safer side, it will be good to set this to 
> "normal" mode in configs, when reading iceberg tables.



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