[Starlingx-discuss] Train upgrade for openstack clients

Chen, Yan yan.chen at intel.com
Wed Oct 16 05:42:47 UTC 2019


Hi,

I'm now trying to upgrade the openstack clients installed on StarlingX to Train version.
Currently I see the clients are Stein version, but the puppet packages (for those modules that we need to config on StarlingX host) are still old versions. [See the list below.]
But for Train, I met a problem when I wanted to upgrade python-openstackclient/keystone to Train (4.0.0), the old puppet packages cannot work with Train clients and failed when running puppet-manifest-apply.sh.
See from Stein keystone log, some of the deprecated cmds and options are planned to be removed in Train.

If we want to make Train clients work, we may need to do the following steps:

  1.  Upgrade puppet itself (required 5.x by Train)
  2.  Upgrade all the OpenStack related puppet packages accordingly, and update StarlingX patches.
  3.  If flock puppet pkgs are based on puppet 4.8.2, we also need to upgrade our code.
  4.  If other puppet pkgs are based on puppet 4.8.2, we also need to upgrade those pkgs.

So is it possible that we keep on using Stein clients with limited test now (need test with Train images, but suppose old functions should still work)?

Here's the list of the puppet packages and StarlingX patches (for Stein it should be 14.1.0 - 14.4.0, and for Train 15.0.0 - 15.4.0):
Pkg

Current Version

Train
Upgrade to

Meta Patch

Patch

puppet

4.8.2

5.x

2

5

puppet-keystone

11.3.0

15.x

6

5

puppet-oslo

11.3.0

15.x

3

2

puppet-openstacklib

11.5.0

15.x

2

1

puppet-horizon

11.5.0

15.x

2

1

puppet-barbican

11.3.0

15.x

0

0


Stein Keystone client logs:
keystone:log 2019-10-10 10:04:44.050 111346 WARNING keystone.server.flask.request_processing.middleware.auth_context [-] The use of the '[DEFAULT] admin_token' configurationoption presents a significant security risk and should not be set. This option is deprecated in favor of using 'keystone-manage bootstrap' and will be removed in a future release.

Yan

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