Drew Merrill created YARN-10427:
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             Summary: Duplicate Job IDs in SLS output
                 Key: YARN-10427
                 URL: https://issues.apache.org/jira/browse/YARN-10427
             Project: Hadoop YARN
          Issue Type: Bug
          Components: scheduler-load-simulator
    Affects Versions: 3.2.1, 3.0.0, 3.3.0, 3.4.0
         Environment: I ran the attached inputs on my MacBook Pro, using Hadoop 
compiled from the latest trunk (as of commit 139a43e98e). I also tested against 
3.2.1 and 3.3.0 release branches.

 
            Reporter: Drew Merrill
         Attachments: fair-scheduler.xml, inputsls.json, jobruntime.csv, 
mapred-site.xml, sls-runner.xml, yarn-site.xml

Hello, I'm hoping someone can help me resolve or understand some issues I've 
been having with the Schedule Load Simulator. I've been experimenting with SLS 
for several months now at work as we're trying to build a simulation model to 
characterize our enterprise Hadoop infrastructure for purposes of future 
capacity planning. In the process of attempting to verify and validate the SLS 
output, I've encountered a number of issues including runtime exceptions and 
bad output. The focus of this issue is the bad output. In all my simulation 
runs, the jobruntime.csv output seems to have one or more of the following 
problems: no output, duplicate job ids, and/or missing job ids.

 

Because of where I work, I'm unable to provide the exact inputs I typically 
use, but I'm able to reproduce the problem of the duplicate Job IDS using some 
simplified inputs and configuration files, which I've attached, along with the 
output I obtained.

 

The command I used to run the simulation:

{{./runsls.sh --tracetype=SLS --tracelocation=./inputsls.json 
--output-dir=sls-run-1 --print-simulation 
--track-jobs=job_1,job_2,job_3,job_4,job_5,job_6,job_7,job_8,job_9,job_10}}

 

Can anyone help me understand what would cause the duplicate Job IDs in the 
output? Is this a bug in Hadoop or a problem with my inputs? Thanks in advance.

 

PS: This is my first issue I've ever opened so please be kind if I've missed 
something or am not understanding something obvious about the way Hadoop works. 
I'll gladly follow-up with more info as requested.



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