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After landing https://review.openstack.org/#/c/503484/ we run the
puppet host configuration steps twice. This change removes the
deploy_steps_tasks.yaml playbook in order to run the puppet steps
only once.
Closes-bug: 1717244
Change-Id: I09461094618124915841c8390c8bce8daf64d029
(cherry picked from commit e471c67aab6a8f91011aa2330b3cf80f4427f443)
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Using the service_ prefix seems incoherent with its use in
service_config_settings (vs config_settings).
Change-Id: Ia39f181415bee0071409dabddfa0c5c312915e1f
(cherry picked from commit 09137304b98a02ed024c0288da907cfe35ca5fe1)
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I96ec09bc788836584c4b39dcce5bf9b80e914c71 added this output to the
deploy-steps.j2, but missed adding this to the major upgrade template
which means the overcloud RoleConfig output is broken after the upgrade
(until the converge update switches back to the deploy-steps.j2 derived
template)
Closes-Bug: #1716404
Change-Id: I331fa18b456ca2d6c124316d513374e3fe5a5007
(cherry picked from commit 27018b4182d77abf612697cfe54a4fc3ceeb6be5)
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Use a more restrictive mode for these files, as some may contain sensitive data
which shouldn't be world readable
Closes-Bug: #1714986
Change-Id: Ib1e79b1d4e25d6e329938402b1ca776bdab81bdd
(cherry picked from commit 94c7752cfae64d96124a32bc36ccd6ec7b4df4a7)
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Where applicable, use list_concat instead of yaql to build new lists: it
should be more resilient to errors, easier to debug, and less expensive.
Change-Id: I6d3dbc7ee8eac50f46023a35af4ec7f2d378fd87
Related-Bug: #1714005
(cherry picked from commit 8008089de24437757d3ba10299bb1041b4aa627a)
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docker-puppet.py is very aggressive about running concurrently.
It uses python multiprocessing to run multiple config generating
containers at once. This seems to work well in general, but
in some cases... perhaps when the registry is slow or under
heavy load can cause timeouts to occur. Lately I'm seeing
several 'container did not start before the specified timeout'
errors that always seem to occur when config files are generated
(docker-puppet.py is initially executed.
A couple of things:
-when config files are generated this is the first time
most of the containers are pulled to each host machine
during deployment
-docker-puppet.py runs many of these processes at once. Some
of them run faster, other not.
-docker daemon's pull limit defaults to 3. This would throttle
the above a bit perhaps contributing the the likelyhood of a timeout.
One solution that seems to work for me is to set the PROCESS_COUNT
in docker-puppet.py to 3. As this matches docker daemon's default
it is probably safer at the cost of being slightly slower in some
cases.
Change-Id: I17feb3abd9d36fe7c95865a064502ce9902a074e
Closes-bug: #1713188
(cherry picked from commit 949d367ddeb42eff913cdbed733ccf6239b4864b)
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Force the count start to 0 to ensure that the
update step loop will start to 0 and execute the
update step0
Closes-Bug: #1712498
Change-Id: I71be55c1f56e53e5c565bec281795d63e5845ff6
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To get this to work upgrade_tasks need to be rewritten with 'when'
statements like the update tasks (in parent review from shardy).
So that we don't break the existing upgrades workflow, we add these
as part of the config download see the depends on
Related-Bug: 1708115
Depends-On: Ief593dc758a2ffe33c1cbcbda9289393fcf023e4
Change-Id: Ib01b96a2c26721747d81d98e3d57c4c388663004
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This enables either deploying without configuring any services, or
temporarily disabling the deploy steps such as will be required
for minor updates where we want to re-run the rolling update outside
of heat.
To deploy directly via ansible-playbook you can do e.g:
openstack overcloud config download --config-dir tmpconfig
cd tmpconfig/tripleo-6b02U7-config
ansible-playbook -vvv -b -i /usr/bin/tripleo-ansible-inventory deploy_steps_playbook.yaml
Which will run the same ansible steps as we normally run via heat.
Change-Id: I59947b67523dfcc43d454d4ac7d82b06804cf71d
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These work the same way as upgrade_tasks *but* they use a step variable
instead of tags, so we can iterate over a count/sequence which isn't
possibly via a wrapper playbook with tags (we may want to align upgrade
tasks with the same approach if this works out well).
Note the tasks can be run via ansible-playbook on the undercloud, like:
openstack overcloud config download --config-dir tmpconfig
cd tmpconfig/tripleo-HCrDA6-config
ansible-playbook -b -i /usr/bin/tripleo-ansible-inventory update_steps_playbook.yaml --limit controller
The above will do a rolling update for the Controller role (note the inconsistent
capitalization, we probably need to fix the group naming in tripleo-ansible-inventory)
because we specify serial: 1 in the playbook.
You can also trigger an update explicitly on one node like this, which is useful for debugging:
ansible-playbook -vvv -b -i /usr/bin/tripleo-ansible-inventory update_steps_playbook.yaml --limit overcloud-controller-0
Change-Id: I20bb3e26ab9d9cadf1a31fd304de8a014a901aa9
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This exposes the deploy workflow for all roles from deploy-steps
via overcloud.j2.yaml - which means we can write it via the new
openstack overcloud config download command and/or run the workflow
outside of heat via mistral
With https://review.openstack.org/#/c/485732/ applied to
tripleoclient it becomes possible to do:
openstack overcloud config download --config-dir tmpconfig
cd tmpconfig/tripleo-EvEZk0-config
ansible-playbook -b -i /usr/bin/tripleo-ansible-inventory deploy_steps_playbook.yaml
This runs the deploy steps, exactly the same as normally run via heat
via ansible-playbook for all overcloud nodes (--limit can be used to restrict
to specific nodes/roles).
Change-Id: I96ec09bc788836584c4b39dcce5bf9b80e914c71
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So that we can more easily iterate over an include in an output
Change-Id: Idd5bb47589e5c37123caafcded1afbff8881aa33
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If we consolidate these we can focus on one implementation (the new ansible
based one used for docker-steps)
Change-Id: Iec0ad2278d62040bf03613fc9556b199c6a80546
Depends-On: Ifa2afa915e0fee368fb2506c02de75bf5efe82d5
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