[
https://issues.apache.org/jira/browse/HDFS-15610?focusedWorklogId=496239&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-496239
]
ASF GitHub Bot logged work on HDFS-15610:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 06/Oct/20 23:57
Start Date: 06/Oct/20 23:57
Worklog Time Spent: 10m
Work Description: karthikhw opened a new pull request #2365:
URL: https://github.com/apache/hadoop/pull/2365
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Issue Time Tracking
-------------------
Worklog Id: (was: 496239)
Remaining Estimate: 0h
Time Spent: 10m
> Reduce datanode upgrade/hardlink thread
> ---------------------------------------
>
> Key: HDFS-15610
> URL: https://issues.apache.org/jira/browse/HDFS-15610
> Project: Hadoop HDFS
> Issue Type: Bug
> Components: datanode
> Affects Versions: 3.0.0, 3.1.4
> Reporter: Karthik Palanisamy
> Assignee: Karthik Palanisamy
> Priority: Major
> Time Spent: 10m
> Remaining Estimate: 0h
>
> There is a kernel overhead on datanode upgrade. If datanode with millions of
> blocks and 10+ disks then block-layout migration will be super expensive
> during its hardlink operation. Slowness is observed when running with large
> hardlink threads(dfs.datanode.block.id.layout.upgrade.threads, default is 12
> thread for each disk) and its runs for 2+ hours.
> I.e 10*12=120 threads (for 10 disks)
> Small test:
> RHEL7, 32 cores, 20 GB RAM, 8 GB DN heap
> ||dfs.datanode.block.id.layout.upgrade.threads||Blocks||Disks||Time taken||
> |12|3.3 Million|1|2 minutes and 59 seconds|
> |6|3.3 Million|1|2 minutes and 35 seconds|
> |3|3.3 Million|1|2 minutes and 51 seconds|
> Tried same test twice and 95% is accurate (only a few sec difference on each
> iteration). Using 6 thread is faster than 12 thread because of its overhead.
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