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https://issues.apache.org/jira/browse/HIVE-25772?focusedWorklogId=719098&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-719098
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ASF GitHub Bot logged work on HIVE-25772:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 02/Feb/22 00:13
Start Date: 02/Feb/22 00:13
Worklog Time Spent: 10m
Work Description: github-actions[bot] commented on pull request #2842:
URL: https://github.com/apache/hive/pull/2842#issuecomment-1027414666
This pull request has been automatically marked as stale because it has not
had recent activity. It will be closed if no further activity occurs.
Feel free to reach out on the d...@hive.apache.org list if the patch is in
need of reviews.
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Issue Time Tracking
-------------------
Worklog Id: (was: 719098)
Time Spent: 0.5h (was: 20m)
> 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: 0.5h
> 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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