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https://issues.apache.org/jira/browse/HDFS-15987?focusedWorklogId=604943&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-604943
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ASF GitHub Bot logged work on HDFS-15987:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 02/Jun/21 04:37
            Start Date: 02/Jun/21 04:37
    Worklog Time Spent: 10m 
      Work Description: whbing commented on a change in pull request #2918:
URL: https://github.com/apache/hadoop/pull/2918#discussion_r643645858



##########
File path: 
hadoop-hdfs-project/hadoop-hdfs/src/main/java/org/apache/hadoop/hdfs/tools/offlineImageViewer/OfflineImageViewerPB.java
##########
@@ -132,6 +133,7 @@ private static Options buildOptions() {
     options.addOption("delimiter", true, "");
     options.addOption("sp", false, "");
     options.addOption("t", "temp", true, "");
+    options.addOption("threads", true, "");

Review comment:
       Yes, it should be renamed and will be fixed in next commit. By the way, 
is there a suitable parameter name recommendation ? 😊




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Issue Time Tracking
-------------------

    Worklog Id:     (was: 604943)
    Time Spent: 2h 20m  (was: 2h 10m)

> 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: 2h 20m
>  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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