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https://issues.apache.org/jira/browse/HDFS-16266?focusedWorklogId=669400&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-669400
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ASF GitHub Bot logged work on HDFS-16266:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 25/Oct/21 08:11
            Start Date: 25/Oct/21 08:11
    Worklog Time Spent: 10m 
      Work Description: jojochuang commented on pull request #3538:
URL: https://github.com/apache/hadoop/pull/3538#issuecomment-950643667


   The API is declared Public, Evolving. If it stays in Hadoop 3.4.0 I am fine 
with it.
   
   We used to have an audit logger (Cloudera Navigator) that extends the 
AuditLogger interface. But we've moved away from that.
   
   Performance:
   It would have a slight performance penalty because every audit log op will 
always convert InetAddress to a string, regardless if audit logger is off 
(audit log level = debug or dfs.namenode.audit.log.debug.cmdlist has the 
excluded op)). It's probably acceptable since audit is logged outside of 
namenode lock.
   
   CallerContext:
    the caller context is probably a better option when you want to do 
fine-grained post-mortem anyway. Maybe we can modify the caller context to 
attach remote port so that it doesn't break api compatibility. Just a thought.


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

    Worklog Id:     (was: 669400)
    Time Spent: 3h 50m  (was: 3h 40m)

> Add remote port information to HDFS audit log
> ---------------------------------------------
>
>                 Key: HDFS-16266
>                 URL: https://issues.apache.org/jira/browse/HDFS-16266
>             Project: Hadoop HDFS
>          Issue Type: Improvement
>            Reporter: tomscut
>            Assignee: tomscut
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 3h 50m
>  Remaining Estimate: 0h
>
> In our production environment, we occasionally encounter a problem where a 
> user submits an abnormal computation task, causing a sudden flood of 
> requests, which causes the queueTime and processingTime of the Namenode to 
> rise very high, causing a large backlog of tasks.
> We usually locate and kill specific Spark, Flink, or MapReduce tasks based on 
> metrics and audit logs. Currently, IP and UGI are recorded in audit logs, but 
> there is no port information, so it is difficult to locate specific processes 
> sometimes. Therefore, I propose that we add the port information to the audit 
> log, so that we can easily track the upstream process.
> Currently, some projects contain port information in audit logs, such as 
> Hbase and Alluxio. I think it is also necessary to add port information for 
> HDFS audit logs.



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