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https://issues.apache.org/jira/browse/HDDS-1785?focusedWorklogId=275989&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-275989
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ASF GitHub Bot logged work on HDDS-1785:
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Author: ASF GitHub Bot
Created on: 12/Jul/19 14:52
Start Date: 12/Jul/19 14:52
Worklog Time Spent: 10m
Work Description: adoroszlai commented on issue #1085: HDDS-1785. OOM
error in Freon due to the concurrency handling
URL: https://github.com/apache/hadoop/pull/1085#issuecomment-510916323
@elek @iamcaoxudong please review
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Issue Time Tracking
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Worklog Id: (was: 275989)
Time Spent: 0.5h (was: 20m)
> OOM error in Freon due to the concurrency handling
> --------------------------------------------------
>
> Key: HDDS-1785
> URL: https://issues.apache.org/jira/browse/HDDS-1785
> Project: Hadoop Distributed Data Store
> Issue Type: Bug
> Reporter: Elek, Marton
> Assignee: Doroszlai, Attila
> Priority: Blocker
> Labels: pull-request-available
> Time Spent: 0.5h
> Remaining Estimate: 0h
>
> HDDS-1532 modified the concurrent framework usage of Freon
> (RandomKeyGenerator).
> The new approach uses separated tasks (Runnable) to create the
> volumes/buckets/keys.
> Unfortunately it doesn't work very well in some cases.
> # When Freon starts it creates an executor with fixed number of threads (10)
> # The first loop submits numOfVolumes (10) VolumeProcessor tasks to the
> executor
> # The 10 threads starts to execute the 10 VolumeProcessor tasks
> # Each VolumeProcessor tasks creates numOfBuckets (1000) BucketProcessor
> tasks. All together 10000 tasks are submitted to the executor.
> # The 10 threads starts to execute the first 10 BucketProcessor tasks, they
> starts to create the KeyProcessor tasks: 500 000 * 10 tasks are submitted.
> # At this point of the time no keys are generated, but the next 10
> BucketProcessor tasks are started to execute..
> # To execute the first key creation we should process all the
> BucketProcessor tasks which means that all the Key creation tasks (10 * 1000
> * 500 000) are created and added to the executor
> # Which requires a huge amount of time and memory
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