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https://issues.apache.org/jira/browse/HDFS-15987?focusedWorklogId=587817&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-587817
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ASF GitHub Bot logged work on HDFS-15987:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 23/Apr/21 12:38
Start Date: 23/Apr/21 12:38
Worklog Time Spent: 10m
Work Description: whbing commented on pull request #2918:
URL: https://github.com/apache/hadoop/pull/2918#issuecomment-825629370
> Failed junit tests
| hadoop.hdfs.server.namenode.TestDecommissioningStatus
| hadoop.hdfs.TestDFSShell
| hadoop.hdfs.TestDFSInotifyEventInputStreamKerberized
| hadoop.hdfs.server.datanode.fsdataset.impl.TestFsVolumeList
| hadoop.hdfs.server.namenode.ha.TestPipelinesFailover
| hadoop.hdfs.server.namenode.ha.TestBootstrapStandby
| hadoop.hdfs.server.datanode.TestDirectoryScanner
| hadoop.hdfs.server.namenode.ha.TestEditLogTailer
| hadoop.hdfs.qjournal.server.TestJournalNodeRespectsBindHostKeys
| hadoop.hdfs.TestPersistBlocks
| hadoop.hdfs.server.namenode.snapshot.TestNestedSnapshots
All failed tests are passed in local. It seems unrelated to this PR.
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Issue Time Tracking
-------------------
Worklog Id: (was: 587817)
Time Spent: 1.5h (was: 1h 20m)
> Improve oiv tool to parse fsimage file in parallel with delimited format
> ------------------------------------------------------------------------
>
> Key: HDFS-15987
> URL: https://issues.apache.org/jira/browse/HDFS-15987
> Project: Hadoop HDFS
> Issue Type: Sub-task
> Reporter: Hongbing Wang
> Assignee: Hongbing Wang
> Priority: Major
> Labels: pull-request-available
> Time Spent: 1.5h
> Remaining Estimate: 0h
>
> The purpose of this Jira is to improve oiv tool to parse fsimage file with
> sub-sections (see -HDFS-14617-) in parallel with delmited format.
> 1.Serial parsing is time-consuming
> The time to serially parse a large fsimage with delimited format (e.g. `hdfs
> oiv -p Delimited -t <tmp> ...`) is as follows:
> {code:java}
> 1) Loading string table: -> Not time consuming.
> 2) Loading inode references: -> Not time consuming
> 3) Loading directories in INode section: -> Slightly time consuming (3%)
> 4) Loading INode directory section: -> A bit time consuming (11%)
> 5) Output: -> Very time consuming (86%){code}
> Therefore, output is the most parallelized stage.
> 2.How to output in parallel
> The sub-sections are grouped in order, and each thread processes a group and
> outputs it to the file corresponding to each thread, and finally merges the
> output files.
> 3. The result of a test
> {code:java}
> input fsimage file info:
> 3.4G, 12 sub-sections, 55976500 INodes
> -----------------------------------------
> Threads TotalTime OutputTime MergeTime
> 1 18m37s 16m18s –
> 4 8m7s 4m49s 41s{code}
>
>
>
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