Intentionally drop job event websocket messages in excess of 30 per second (configurable)
SUMMARY
The UI no longer follows the latest job events from websocket messages. Because of that, there's no reason to send messages for all events if the job event rate is high.
I used 30 because this is the number of events that I guesstimate will show in one page in the UI.
Needs the setting added in the UI.
This adds skip_websocket_message to event event_data. We could promote it to a top-level key for job events, if that is preferable aesthetically. Doing this allows us to test this feature without having to connect a websocket client. Ping @mabashian @chrismeyersfsu
ISSUE TYPE
Feature Pull Request
COMPONENT NAME
API
UI
ADDITIONAL INFORMATION
Scenario walkthrough:
a job is producing 1,000 events per second. User launches it, the screen fills up in, say 1/4 of a second. The scrollbar indicates content beyond the bottom of the screen. Now, for 3/4ths of a second, the scrollbar stays still. After that, it updates the scrollbar to the current line number that the job is on. The scrollbar continues to update the length of the output effectively once per second.
Reviewed-by: Alan Rominger <arominge@redhat.com>
Reviewed-by: Chris Meyers <None>
Reviewed-by: Jake McDermott <yo@jakemcdermott.me>
Always send websocket messages for
high priority events like playbook_on_stats
Never send websocket messages for
events with no output
unless they are a high priority event type
Add a field for hosts automated across to the subscription info
SUMMARY
This is populated by the new table we've added.
Update the subs check to check against this, not imported hosts.
ISSUE TYPE
Feature Pull Request
Bugfix Pull Request
COMPONENT NAME
API
UI
Reviewed-by: Bill Nottingham <None>
Reviewed-by: Amol Gautam <amol_gautam25@yahoo.co.in>
Reviewed-by: Alex Corey <Alex.swansboro@gmail.com>
Reviewed-by: Chris Meyers <None>
Reviewed-by: Tiago Góes <tiago.goes2009@gmail.com>
- Add a field for hosts automated across
This is populated by the new table we've added.
- Update the subs check to check against this, not imported hosts.
- Reword messages on inventory import
add a new awx-manage command `custom_venvs`
add an awx-manage command that gets pip freeze data from custom_venv and outputs to command line stdout
SUMMARY
part of #7062 - this command is a glorified pip freeze + some extra stuff, people could navigate to each of their custom virtual environments themselves and run a pip freeze, but this allows them to not, and everyone likes their life to be easier. The extra stuff allows users to see the connections that their existing virtual envs have in awx to things like organizations, jobs, inventory updates, and projects.
ISSUE TYPE
Feature Pull Request
COMPONENT NAME
API
AWX VERSION
awx: 19.1.0
ADDITIONAL INFORMATION
This is built off of existing code and there is a line that gets custom venv paths from the settings module, that line does not seem to be working. I have written around that but want to make a note of it.
Reviewed-by: Alan Rominger <arominge@redhat.com>
Reviewed-by: Rebeccah Hunter <rhunter@redhat.com>
Reviewed-by: Jeff Bradberry <None>
Reviewed-by: Shane McDonald <me@shanemcd.com>
Reviewed-by: Elijah DeLee <kdelee@redhat.com>
* job_created is a fake field as far as Django is concerned. Under the
hood, in postgres, this is the partition key so it is real. sqlite
doesn't support partitioning so we need to fake some things.
Specifically, we need to remove job_created from being auto-added to
get_event_queryset()
* Add pagination tests for <unified_job_name>/<id>/<job_events>?limit=x
endpoint to make sure the paginator is wired up.
* Before, we would get the min and max pk of the set we are to gather.
This changeset removes that.
* Before, we would, basically, know the size of the set we are to gather
and would query 100,000 of those job event records at a time. That logic
is now gone.
* Now, for unpartitioned job events we gather 4 hours at a time by
created time.
* Now, for partitioned job events we gather 4 hours at a time by
modified time.
* The order by results in an in-memory sort that COULD blow out the
worker mem buffer and result in sorting having to take place on disk.
* This WILL happen with a default postgres 4MB mem buffer. We saw as
much as 20MB used. Note that AWX defaults postgres mem worker buffer to
3% of the DB memory on external installs and 1% on same-node installs.
So for a 16GB remote DB this would not be a problem.
* We are going to avoid this problem all together by NOT doing a sort
when gathering. Instead, we will sort remotely, in analytics.
* Old, _unpartitioned_main_jobevent table does not have the job_created
column
* New, main_jobevent does.
* Always in clude the job_created column. NULL if old, job_created if
new
* Bump events_table schema version from 1.2 to 1.3 because of the
job_created field
* We found that having multiple `::json` casts in a query slows down
queries more and more by =~> 33%.
* This change coerces postgres into only casting once. Micro
benchmarking shows =~ 2-3x performance boost
* pre-migration jobevents live in unpartitioned table
where only created field has index
* post-migration jobevents live in partitions
where modified field has index
(and should be used to ensure no events are missing)
* when collecting job events by creation time
it is possible to miss events that were created
at one point, but actually committed to the db
much later.
* since events' modified time is set when they are
committed to the db, we shouldn't miss any job events
* selecting job events by modified time wasn't possible
beforehand because we didn't have an index for
jobevent's modified field
Changes in old unpartitioned cleanup logic:
* Manually cascade delete events related to job(s)
(new partitions cleanup logic) For each event type:
* Get the event partitions that are within the cleanup date range
* Get a list of jobs to delete that are in the cutoff range.
* Jobs that are running, pending, or waiting in the job list are special.
* Use the special list to further filter the partition drop list.
* Drop partitions
* delete jobs
