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Bug 2224552 - Virt-template-validator pods are getting scheduled on same node on Upgraded cluster
Summary: Virt-template-validator pods are getting scheduled on same node on Upgraded ...
Keywords:
Status: CLOSED MIGRATED
Alias: None
Product: Container Native Virtualization (CNV)
Classification: Red Hat
Component: SSP
Version: 4.11.5
Hardware: Unspecified
OS: Unspecified
medium
medium
Target Milestone: ---
: future
Assignee: Dominik Holler
QA Contact: Geetika Kapoor
URL:
Whiteboard:
Depends On:
Blocks:
TreeView+ depends on / blocked
 
Reported: 2023-07-21 12:35 UTC by Akriti Gupta
Modified: 2023-12-14 16:05 UTC (History)
1 user (show)

Fixed In Version:
Doc Type: If docs needed, set a value
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Clone Of:
Environment:
Last Closed: 2023-12-14 16:05:25 UTC
Target Upstream Version:
Embargoed:


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System ID Private Priority Status Summary Last Updated
Red Hat Issue Tracker   CNV-31225 0 None None None 2023-12-14 16:05:25 UTC

Internal Links: 2232320

Description Akriti Gupta 2023-07-21 12:35:43 UTC
Description of problem: 
virt-template-validator pods are getting scheduled on same nodes on a upgraded cluster 
On Fresh install pods are on different nodes
probably because of node drain during CNV upgrade pods are scheduling on same nodes

[akriti@fedora ~]$ oc describe pod virt-template-validator-6d8c4bbf5b-t27pw -n openshift-cnv | grep Node:
Node:                 cnv-qe-infra-07.cnvqe2.lab.eng.rdu2.redhat.com/10.1.156.7
[akriti@fedora ~]$ oc describe pod virt-template-validator-6d8c4bbf5b-w829z -n openshift-cnv | grep Node:
Node:                 cnv-qe-infra-07.cnvqe2.lab.eng.rdu2.redhat.com/10.1.156.7

Version-Release number of selected component (if applicable):


How reproducible:


Steps to Reproduce:
1. oc describe pod <virt-template-validator pod1>
2. oc describe pod <virt-template-validator pod2>
3.

Actual results:
both scheduled on same node

Expected results:
both scheduled on different nodes

Additional info:
Earlier we had a sililar bug fixed for fressh install
https://bugzilla.redhat.com/show_bug.cgi?id=2056467

Comment 3 Dominik Holler 2023-08-30 14:36:06 UTC
targeting to future for now, let's see if the behavior is reproducible if the scheduler has a chance to avoid it.

Comment 4 Akriti Gupta 2023-09-01 08:17:30 UTC
currently this issue is more visible on a compact cluster


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