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https://issues.apache.org/jira/browse/HIVE-25975?focusedWorklogId=736593&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-736593
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ASF GitHub Bot logged work on HIVE-25975:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 04/Mar/22 11:27
Start Date: 04/Mar/22 11:27
Worklog Time Spent: 10m
Work Description: szlta merged pull request #3060:
URL: https://github.com/apache/hive/pull/3060
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Issue Time Tracking
-------------------
Worklog Id: (was: 736593)
Time Spent: 6.5h (was: 6h 20m)
> Optimize ClusteredWriter for bucketed Iceberg tables
> ----------------------------------------------------
>
> Key: HIVE-25975
> URL: https://issues.apache.org/jira/browse/HIVE-25975
> Project: Hive
> Issue Type: Improvement
> Reporter: Ádám Szita
> Assignee: Ádám Szita
> Priority: Major
> Labels: pull-request-available
> Time Spent: 6.5h
> Remaining Estimate: 0h
>
> The first version of the ClusteredWriter in Hive-Iceberg will be lenient for
> bucketed tables: i.e. the records do not need to be ordered by the bucket
> values, the writer will just close its current file and open a new one for
> out-of-order records.
> This is suboptimal for the long-term due to creating many small files. Spark
> uses a UDF to compute the bucket value for each record and therefore it is
> able to order the records by bucket values, achieving optimal clustering.
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