action #168178
opencoordination #110833: [saga][epic] Scale up: openQA can handle a schedule of 100k jobs with 1k worker instances
coordination #157669: websockets+scheduler improvements to support more online worker instances
Limit connected online workers based on websocket+scheduler load size:M
Description
Motivation¶
With #157690 the amount of connected online workers is already limited based on a configuration variable. We can extend that to limit based on the actual websocket+scheduler load meaning to keep the number low enough to ensure proper operation of websocket+scheduler to prevent problems like #157666.
Acceptance criteria¶
- AC1: A clear definition of "websocket+scheduler load" exists
- AC2: The number of online workers is limited to
min(configured_number,configured_load_limit) - AC3: Rejected openQA workers exceeding the mentioned limit(s) explicitly log or fail that situation
Suggestions¶
- Look into the implemention of #157690 to see how the simple limit was implemented so far
- Come up with a definition of the critical websocket+scheduler load based on "overload experiments" which can be used as a metric for the problem seen in #157666
- Extend the simple limit with a lookup of the said metric and also prevent additional worker connections based on the metric
- Also consider disconnecting already connected workers if the metric exceeds the configured threshold
Rollback steps¶
- Ensure
sapworker2.qe.nue2.suse.orgis powered down as is/was used when working on this ticket to create many workers.
Updated by okurz 6 months ago
- Copied from action #157690: Simple global limit of registered/online workers size:M added
Updated by okurz 6 months ago
- Related to action #166802: Recover worker37, worker38, worker39 size:S added
Updated by mkittler 2 months ago
I don't remember exactly how we envisioned this to work.
Did we have figures supporting the fact that the load of the websocket server and scheduler are actually high in the problematic situation? I'm asking that because I highly doubt that this is the case. We have already established that at least the websocket server does not cause much CPU load. The same is probably true for the scheduler. I also doubt that both cause a considerable amount of I/O load. Maybe the worker processes of PostgreSQL cause a high I/O load (or even CPU load) instead (which would make it hard to pin-down this load to the scheduling problem). Maybe none of the processes cause a high load because locks held by some txn are the bottleneck.
I would probably approach this by trying to solve the actual problem first - which means provoking it in some way locally with the help of some servers with enough RAM¹. Then I'd closely observe the resource usage locally and what causes this exactly. Depending on the findings fix the problem itself might be simpler than adding a dynamic limit in case the problem occurs². So adding a dynamic limit might not make sense and adding it blindly without knowing what to look for even less.
So I guess by trying to fight the symptoms first we're approaching the problem from the wrong angle.
¹ When working on this before I noticed that with "only" 32 GiB RAM the number of worker slots I could start on my laptop was quite limited.
² Adding a dynamic limit isn't that trivial.
Updated by okurz 2 months ago
mkittler wrote in #note-8:
I would probably approach this by trying to solve the actual problem first - which means provoking it in some way locally with the help of some servers with enough RAM¹. Then I'd closely observe the resource usage locally and what causes this exactly.
I agree. That is how I interpret the suggestion "Come up with a definition of the critical websocket+scheduler load based on 'overload experiments'"
Updated by okurz about 1 month ago
- Target version changed from Tools - Next to Ready
Updated by mkittler 26 days ago · Edited
- Assignee set to mkittler
Solving the problem by removing a bottle neck or problematic behavior in general is not going to bring us to any kind of definition of load. If it is possible to solve this without adding a limit I would also avoid adding a limit (because additional monitoring in order to enforce a limit would add complexity).
I can still move this ticket forward to some extend even though the ACs might not be useful in the end.
EDIT: I will use sapworker2-sp.qe.nue2.suse.org which is powered off anyway to create many worker instances.
Updated by mkittler 6 days ago
- Status changed from Workable to Feedback
My change https://github.com/os-autoinst/openQA/pull/6358 hasn't received much reviews yet. I think we can merge it even though it might not be all that's needed. It is definitely a step in the right direction. It would allow us to increase the online worker limit in production to e.g. 1500 and see whether it now scales better. If not we can still go back to 900 and see what else can be improved. When testing it locally (with 1500 workers from sapworker2-sp.qe.nue2.suse.org) this PR was definitely an improvement.
Updated by mkittler about 16 hours ago
The PR was merged 4 days ago and hasn't caused any problems on o3 so far.
When OSD is recovered and the situation has settled down we could try raising the worker limit there. Maybe my changes so far are already enough.
If I have ideas for other improvements I can come up with another PR but so far I don't have a clear idea.