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https://issues.apache.org/jira/browse/HADOOP-17195?focusedWorklogId=555843&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-555843
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ASF GitHub Bot logged work on HADOOP-17195:
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Author: ASF GitHub Bot
Created on: 22/Feb/21 14:47
Start Date: 22/Feb/21 14:47
Worklog Time Spent: 10m
Work Description: steveloughran commented on pull request #2294:
URL: https://github.com/apache/hadoop/pull/2294#issuecomment-783426138
Maybe I was being pessimistic there. If the #of active writes a single
stream can have active is throttled, the #of open blocks a single stream can
have allocated is also blocked. But: ability to buffer on disk is the way to
robustly avoid scale issues with many active threads.
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Issue Time Tracking
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Worklog Id: (was: 555843)
Time Spent: 1h (was: 50m)
> Intermittent OutOfMemory error while performing hdfs CopyFromLocal to abfs
> ---------------------------------------------------------------------------
>
> Key: HADOOP-17195
> URL: https://issues.apache.org/jira/browse/HADOOP-17195
> Project: Hadoop Common
> Issue Type: Bug
> Components: fs/azure
> Affects Versions: 3.3.0
> Reporter: Mehakmeet Singh
> Assignee: Bilahari T H
> Priority: Major
> Labels: abfsactive, pull-request-available
> Time Spent: 1h
> Remaining Estimate: 0h
>
> OutOfMemory error due to new ThreadPools being made each time
> AbfsOutputStream is created. Since threadPool aren't limited a lot of data is
> loaded in buffer and thus it causes OutOfMemory error.
> Possible fixes:
> - Limit the number of ThreadCounts while performing hdfs copyFromLocal (Using
> -t property).
> - Reducing OUTPUT_BUFFER_SIZE significantly which would limit the amount of
> buffer to be loaded in threads.
> - Don't create new ThreadPools each time AbfsOutputStream is created and
> limit the number of ThreadPools each AbfsOutputStream could create.
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