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Posted to issues@hive.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2021/12/03 14:20:00 UTC

[jira] [Work logged] (HIVE-25772) Use ClusteredWriter when writing to Iceberg tables

     [ https://issues.apache.org/jira/browse/HIVE-25772?focusedWorklogId=690037&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-690037 ]

ASF GitHub Bot logged work on HIVE-25772:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 03/Dec/21 14:19
            Start Date: 03/Dec/21 14:19
    Worklog Time Spent: 10m 
      Work Description: szlta opened a new pull request #2842:
URL: https://github.com/apache/hive/pull/2842


   Currently Hive relies on PartitionedFanoutWriter to write records to Iceberg tables. This has a big disadvantage when it comes to writing many-many partitions, as it keeps a file handle open to each of the partitions.
   
   For some file systems like S3, there can be a big resource waste due to keeping bytebuffers for each of the handles, that may result in OOM scenarios.
   
   ClusteredWriter will only write one file at a time, and will not keep other file handles open, but it will expect that the input data is sorted by partition keys.


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

            Worklog Id:     (was: 690037)
    Remaining Estimate: 0h
            Time Spent: 10m

> Use ClusteredWriter when writing to Iceberg tables
> --------------------------------------------------
>
>                 Key: HIVE-25772
>                 URL: https://issues.apache.org/jira/browse/HIVE-25772
>             Project: Hive
>          Issue Type: Improvement
>            Reporter: Ádám Szita
>            Assignee: Ádám Szita
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> Currently Hive relies on PartitionedFanoutWriter to write records to Iceberg tables. This has a big disadvantage when it comes to writing many-many partitions, as it keeps a file handle open to each of the partitions.
> For some file systems like S3, there can be a big resource waste due to keeping bytebuffers for each of the handles, that may result in OOM scenarios.
> ClusteredWriter will only write one file at a time, and will not keep other file handles open, but it will expect that the input data is sorted by partition keys.



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