LFS264: lab1, step 5, APEX setup command fails

Hi,
the prerequisite to execute the labs for this course fails: I can login to my google-VM, but when I executeopnfv-deploy -v --debug -n network_settings.yaml -d os-nosdn-nofeature-noha.yaml
it fails with the following stack-trace:
Traceback (most recent call last):
File "/bin/opnfv-deploy", line 10, in
sys.exit(main())
File "/usr/lib/python3.4/site-packages/apex/deploy.py", line 266, in main
vcpus=args.virt_cpus
File "/usr/lib/python3.4/site-packages/apex/virtual/utils.py", line 68, in generate_inventory
'ipmi_ip': get_virt_ip(),
File "/usr/lib/python3.4/site-packages/apex/virtual/utils.py", line 40, in get_virt_ip
tree = ET.fromstring(virsh_net_xml)
File "/usr/lib64/python3.4/xml/etree/ElementTree.py", line 1335, in XML
parser.feed(text)
xml.etree.ElementTree.ParseError: syntax error: line 1, column 0
It seems there is a parsing error for some file.
Any hints ?
I have attached the apex_deploy.log as well as ther terminal output of my session.
Thanks
Gereon
Answers
-
Taking a look
0 -
- # This issue is related to openstack controller and compute node memory allocation
- # The default ones are not enough, here is the error logs from attached files
- #
- # 2018-12-10 18:10:31,496 WARNING: RAM per controller is too low. nosdn requires at least 10GB per controller.
- # 2018-12-10 18:10:31,496 INFO: Increasing RAM per controller to 10GB
- #
- # Clean OPNFV
- opnfv-clean
- # Make sure to increase your GCP instance CPU and memory
- # Here is the command to increase CPU = 8 (vCPU) & memory = 16 GB
- nohup opnfv-deploy -v --debug -n network_settings.yaml -d os-nosdn-nofeature-noha.yaml --virtual-default-ram 16 --virtual-cpus 8 &
- # Kindly note, before starting the above deployment command one need to update the under cloud YUM repository
- # It is a know issue in OPNFV Euphrates release (https://jira.opnfv.org/browse/APEX-565)
- # Execute the below script, otherwise follow the JIRA ticket workaround to update under cloud YUM repository
- sudo -i
- cd /opnfv
- nohup ./update_undercloud_yumrepo.sh &
- # Wait for the above script to get completed and then start OPNFV deployment using the above command
Let us know, if you face any further issues.
0 -
Hi,
thanks for looking into this, but it is still happening.
Find the terminal log attached.
regards
Gereon0 -
Hello,
I have the same issue with error:
2019-01-11 10:34:03,103 ERROR: Ansible playbook failed. See Ansible logs for details.
Traceback (most recent call last):
File "/bin/opnfv-deploy", line 10, in
sys.exit(main())
File "/usr/lib/python3.4/site-packages/apex/deploy.py", line 339, in main
APEX_TEMP_DIR)
File "/usr/lib/python3.4/site-packages/apex/undercloud/undercloud.py", line 126, in configure
user='stack')
File "/usr/lib/python3.4/site-packages/apex/common/utils.py", line 131, in run_ansible
raise Exception(e)
Exception: Ansible playbook failed. See Ansible logs for details.I try using the suggested workaround from vmuthukrishnan, but I got the same error.
Attached:
- konsole-output-2019.01.11 => console commands I executed
- nohup-2019.01.11 => printouts from opnfv-deploy -v --debug -n network_settings.yaml -d os-nosdn-nofeature-noha.yaml --virtual-default-ram 16 --virtual-cpus 8
- apex_deploy-2019.01.11
Please help us to fix this issue and be able to proceed with the Labs.
Best regards,
Todor0 -
Hi,
It appears that you do not have enough vCPUs on the GCP instance to start OPNFV deployment.
gereon@LF-base-machine:~$ gcloud compute instances create opnfv-instance-00 --zone=us-central1-f \
--custom-cpu=8 --custom-memory=52GB --min-cpu-platform="Intel Haswell" \
--image=aarna-opnfv-euphrates-51-pub-05012018-00 --image-project=onap-177920 \
--boot-disk-type "pd-standard" --boot-disk-size=300GBopnfv-deploy -v --debug -n network_settings.yaml -d os-nosdn-nofeature-noha.yaml --virtual-default-ram 16 --virtual-cpus 8
Your GCP instance has 8 vCPU's, and the OPNFV deployment also uses 8 vCPUs, which will not be sufficient.
Please create GCP instance with 32 vCPUs (this is what we recommend).
Hope that helps.
0 -
Hello,
Thanks a lot for your replay! I have tried to create a GCP instance with 32 vCPUs, but I got the following error:
gcloud compute instances create opnfv-instance-00 --zone=us-central1-f --custom-cpu=32 --custom-memory=52GB --min-cpu-platform="Intel Haswell" --image=aarna-opnfv-euphrates-51-pub-05012018-00 --image-project=onap-177920 --boot-disk-type "pd-standard" --boot-disk-size=300GB
ERROR: (gcloud.compute.instances.create) Could not fetch resource:
- Quota 'CPUS' exceeded. Limit: 8.0 in region us-central1.The problem is that as a free GCP user I have limit of 8 vCPUs for all available zones - see attached screen-shoot.
Any suggestions how we can execute the Labs using the free GCP Quotas?
Best regards,
Todor0 -
Unfortunately, the labs cannot be done on a free GCP tier. We actually advise in the course thst some costs are associated with them, due to the complexity of the labs and the environment needed.
0
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