When creating unified job, stash the list of pk values from the
instance groups returned from preferred_instance_groups so that the
task management system does not need to call out to this method
repeatedly.
.preferred_instance_groups_cache is the new field
Instead of loading all pending Workflow Approvals in the task manager,
run a query that will only return the expired apporovals
directly expire all which are returned by that query
Cache expires time as a new field in order to simplify WorkflowApproval filter
- DependencyManager spawns dependencies if necessary
- WorkflowManager processes running workflows to see if a new job is
ready to spawn
- TaskManager starts tasks if unblocked and has execution capacity
* Modifying SAML adapter to not auto-add default galaxy creds to orgs on login
* Adding test, fixing old tests and moving add_default_galaxy_credential to pipeline
* Track combined artifacts on workflow jobs
* Avoid schema change for passing nested workflow artifacts
* Basic support for nested workflow artifacts, add test
* Forgot that only does not work with polymorphic
* Remove incorrect field
* Consolidate logic and prevent recursion with UJ artifacts method
* Stop trying to do precedence by status, filter for obvious ones
* Review comments about sets
* Fix up bug with convergence node paths and artifacts
- scm based inventory sources should launch project updates prior to
running inventory updates for that source.
- fixes scenario where a job is based on projectA, but the inventory
source is based on projectB. Running the job will likely trigger a
sync for projectA, but not projectB.
comments
* Track host_status_counts and use that to process notifications
* Remove now unused setting
* Back out changes to callback class not needed after all
* Skirt the need for duck typing by leaning on the cached field
* Delete tests for deleted task
* Revert "Back out changes to callback class not needed after all"
This reverts commit 3b8ae350d218991d42bffd65ce4baac6f41926b2.
* Directly hardcode stats_event_type for callback class
* Fire notifications if stats event was never sent
* Remove test content for deleted methods
* Add placeholder for when no hosts matched
* Make field default be None, denote events processed with empty dict
* Make UI process null value for host_status_counts
* Fix tracking of EOF dispatch for system jobs
* Reorganize EVENT_MAP into class properties
* Consolidate conditional I missed from EVENT_MAP refactor
* Give up on the null condition, also applies for empty hosts
* Remove cls position argument not being used
* Move wrapup method out of class, add tests
* Added schedule_rruleset lookup plugin for awx.awx
* Added DB migration for rrule size
* Updated schedule docs
* The schedule API endpoint will now return an array of errors on rule validation to try and inform the user of all errors instead of just the first
* Remove committed_capacity field, delete supporting code
* Track consumed capacity to solve the negatives problem
* Use more verbose name for IG queryset
* move static methods used by task manager
These static methods were being used to act on Instance-like objects
that were SimpleNamespace objects with the necessary attributes.
This change introduces dedicated classes to replace the SimpleNamespace
objects and moves the formerlly staticmethods to a place where they are
more relevant instead of tacked onto models to which they were only
loosly related.
Accept in-memory data structure in init methods for tests
* initialize remaining capacity AFTER we built map of instances
This JSONBlob field type is a wrapper around Django's new generic
JSONField, but with the database column type forced to be text. This
should behave close enough to our old wrapper around
django-jsonfield's JSONField and will avoid needing to do the
out-of-band database migration.
* Process unresponsive and newly responsive hop nodes
* Use more natural way to zero hop node capacity, add test
* Use warning as opposed to warn for log messages
The event_data field on event models, however, is getting an
overridden version that retains the underlying text data type for the
column, to avoid a heavy data migration on those tables.
Also, certain of the larger tables are getting these fields with the
NOT NULL constraint turned off, to avoid a long migration.
Remove the django.utils.six monkey patch we did at the beginning of
the upgrade.
fix memory and cpu settings to suport k8s resource request format
* fix conversion of memory setting to bytes
This setting has not been getting set by default, and needed some fixing
up to be compatible with setting the memory in the same way as we set it
in the operator, as well as with other changes from last year which
assume that ansible runner is returning memory in bytes.
This way we can start setting this setting in the operator, and get a
more accurate reflection of how much memory is available to the control
pod in k8s.
On platforms where services are all sharing memory, we deduct a
penalty from the memory available. On k8s we don't need to do this
because the web, redis, and task containers each have memory
allocated to them.
* Support CPU setting expressed in units used by k8s
This setting has not been getting set by default, and needed some fixing
up to be compatible with setting the CPU resource request/limits in the
same way as we set it in the resource requests/limits.
This way we can start setting this setting in the
operator, and get a more accurate reflection of how much cpu is
available to the control pod in k8s.
Because cpu on k8s can be partial cores, migrate cpu field to decimal.
k8s does not allow granularity of less than 100m (equivalent to 0.1 cores), so only
store up to 1 decimal place.
fix analytics to deal with decimal cpu
need to use DjangoJSONEncoder when Decimal fields in data passed to
json.dumps
* Select control node before start task
Consume capacity on control nodes for controlling tasks and consider
remainging capacity on control nodes before selecting them.
This depends on the requirement that control and hybrid nodes should all
be in the instance group named 'controlplane'. Many tests do not satisfy that
requirement. I'll update the tests in another commit.
* update tests to use controlplane
We don't start any tasks if we don't have a controlplane instance group
Due to updates to fixtures, update tests to set node type and capacity
explicitly so they get expected result.
* Fixes for accounting of control capacity consumed
Update method is used to account for currently consumed capacity for
instance groups in the in-memory capacity tracking data structure we initialize in
after_lock_init and then update via calculate_capacity_consumed (both in
task_manager.py)
Also update fit_task_to_instance to consider control impact on instances
Trust that these functions do the right thing looking for a
node with capacity, and cut out redundant check for the whole group's
capacity per Alan's reccomendation.
* Refactor now redundant code
Deal with control type tasks before we loop over the preferred instance
groups, which cuts out the need for some redundant logic.
Also, fix a bug where I was missing assigning the execution node in one case!
* set job explanation on tasks that need capacity
move the job explanation for jobs that need capacity to a function
so we can re-use it in the three places we need it.
* project updates always run on the controlplane
Instance group ordering makes no sense on project updates because they
always need to run on the control plane.
Also, since hybrid nodes should always run the control processes for the
jobs running on them as execution nodes, account for this when looking for a
execution node.
* fix misleading message
the variables and wording were both misleading, fix to be more accurate
description in the two different cases where this log may be emitted.
* use settings correctly
use settings.DEFAULT_CONTROL_PLANE_QUEUE_NAME instead of a hardcoded
name
cache the controlplane_ig object during the after lock init to avoid
an uneccesary query
eliminate mistakenly duplicated AWX_CONTROL_PLANE_TASK_IMPACT and use
only AWX_CONTROL_NODE_TASK_IMPACT
* add test for control capacity consumption
add test to verify that when there are 2 jobs and only capacity for one
that one will move into waiting and the other stays in pending
* add test for hybrid node capacity consumption
assert that the hybrid node is used for both control and execution and
capacity is deducted correctly
* add test for task.capacity_type = control
Test that control type tasks have the right capacity consumed and
get assigned to the right instance group
Also fix lint in the tests
* jobs_running not accurate for control nodes
We can either NOT use "idle instances" for control nodes, or we need
to update the jobs_running property on the Instance model to count
jobs where the node is the controller_node.
I didn't do that because it may be an expensive query, and it would be
hard to make it match with jobs_running on the InstanceGroup which
filters on tasks assigned to the instance group.
This change chooses to stop considering "idle" control nodes an option,
since we can't acurrately identify them.
The way things are without any change, is we are continuing to over consume capacity on control nodes
because this method sees all control nodes as "idle" at the beginning
of the task manager run, and then only counts jobs started in that run
in the in-memory tracking. So jobs which last over a number of task
manager runs build up consuming capacity, which is accurately reported
via Instance.consumed_capacity
* Reduce default task impact for control nodes
This is something we can experiment with as far as what users
want at install time, but start with just 1 for now.
* update capacity docs
Describe usage of the new setting and the concept of control impact.
Co-authored-by: Alan Rominger <arominge@redhat.com>
Co-authored-by: Rebeccah <rhunter@redhat.com>
