Earlier  
Posted Nick Remark
#openstack-nova - 2017-10-13
20:20:39 superdan yep, that's what we're saying
20:21:08 superdan I hate to have to add such a field to our object, knowing we don't want that stuff in a cycle or two when that scheduler is gone, but I don't think we have an option
20:21:38 superdan I'm quite sure jay knows about this stuff, so that's why I'm highly interested in his thinking on this,
20:21:41 figleaf We could tell the caching scheduler users to take a hike :)
20:21:47 superdan but I expect he's just missing the full picture
20:22:09 superdan figleaf: I think mriedem would get spanked :)
20:22:17 figleaf "You want limits? I got your limits right here!"
20:22:21 superdan also, the cachingscheduler users tell us "we'll drop it when you make the other stuff usable"
20:23:15 figleaf superdan: yeah, some comparisons would be good to have
20:23:43 superdan I think it's not as straightforward..
20:23:56 superdan with placement, total time and energy expended to boot should be faster,
20:24:10 superdan but caching scheduler means fewer db calls for each schedule operation,
20:24:12 mriedem yeah the huawei public cloud is using the caching scheduler for the same reason rax public cloud was, it outperforms the filter scheduler at scale b/c it's not hitting the database to pull 1000 compute node records on every select_destination request
20:24:19 superdan even though it's more likely to send you into a reschedule tailspin
20:24:52 mriedem huawei has set host_subset_size pretty high too so they are spreading the requests across computes, to avoid the reschedule collisions i think,
20:25:00 mriedem i still have to find out more about how much of a problem reschedules are for them
20:25:38 mriedem i noted that with placement, we're doing the ram/disk/cpu filtering in sql on the placement side, but they said that even with that it doesn't filter out enough nodes to make the db query to get compute nodes substantially smaller
20:25:42 figleaf mriedem: too bad scheduling queues never caught on. They would be perfect for that use case
20:25:50 mriedem so i suspect their limiting factor is not filtering on those resource classes, but other things like affinity
20:26:04 mriedem affinity, numa, etc
20:26:11 mriedem stuff we don't have working with placement yet
20:26:27 mriedem i'm still trying to figure out what their most expensive filters are too
20:26:56 superdan mriedem: ugh, that's disappointing
20:27:14 mriedem roughly speaking the scale they are trying to hit, from my limited knowledge so far, is 1024 computes per "cell", 30K nodes total
20:27:45 superdan well, it's probably worth noting that that's pretty high compared to what most people do in a "cell"
20:27:58 mriedem yeah, i just sent some lengthy emails about that last night,
20:28:07 mriedem suggesting they take a page from cern and shard their cells at 200 nodes each
20:28:11 superdan yeah
20:28:12 mriedem so 5 cells per "huawei cell"
20:28:22 mriedem huawei cell = cascaded openstack
20:28:29 superdan right
20:28:31 mriedem == cells v1
20:28:36 mriedem :)
20:28:39 superdan although it's worth noting that cellsv2 cells won't help them here
20:28:40 mriedem but not cells v1
20:28:49 superdan because global scheduler
20:28:52 mriedem yup
20:29:12 mriedem i have no idea yet about how their top-layer scheduler picks a cell to send requests to
20:29:43 mriedem nor do i know how large cells v1 deployments like cern are going to deal with moving to the global flat scheduler like in cells v2
20:29:53 mriedem hopefully we'll get some feedback there someday
20:29:55 superdan well, placement was supposed to be the answer
20:30:24 superdan are we limiting the result size we're getting back from placement yet or are we still trying to pull the whole thing?
20:30:40 mriedem cdent still has a spec up i believe
20:30:40 superdan because if we're returning everything, that means our query to list compute nodes is huge
20:30:44 superdan okay
20:31:06 mriedem https://review.openstack.org/#/c/504540/
20:35:22 fried_rice Quick, let's merge this pile^Wstack before the zuulv3 cutover https://review.openstack.org/#/c/509029/
20:42:26 tasker mriedem: sorry to bug you, but is there any movement on https://review.openstack.org/#/c/505771/ ?
20:43:03 mriedem tasker: sorry not yet, it's on my list, but trying to get some stuff done with specs before the 10/19 deadline
20:43:10 tasker roger
20:43:11 mriedem i hope to have that fix polished up next week
20:43:49 tasker thanks!
20:44:28 mriedem give me a kidney punch early next week if you don't see movement
20:49:27 openstackgerrit Eric Young proposed openstack/nova master: 1:Implement ScaleIO image backend https://review.openstack.org/407440
20:51:25 openstackgerrit Eric Young proposed openstack/nova master: Implement ScaleIO image backend https://review.openstack.org/407440
21:03:13 superdan fried_rice: one more comment on your patch in case you were respinning right there
21:03:47 superdan mriedem would have shamed me post +2 if I had missed that
21:10:09 mriedem what patch?
21:11:04 superdan his allocation to spawn one
21:11:16 superdan https://review.openstack.org/#/c/511879/
21:12:10 mriedem not on my radar
21:12:33 superdan it would be just as soon as I put a +2 on it with potential test nits to complain about
21:12:56 superdan I know you have the world's most sophisticated AI developers working on tuning your get-dan-a-disagreement goals
21:12:56 mriedem maybe, i do have that notification system setup
21:13:01 mriedem ha
21:25:07 fried_rice superdan Thanks, I was indeed respinning, though it's a longer road than I expected (gotta handle rebuild too).
21:25:19 superdan ah yeah
21:30:11 openstackgerrit Matt Riedemann proposed openstack/nova-specs master: Spec for volume-backed flavors https://review.openstack.org/511965
21:35:40 superdan fried_rice: I think the ones above are wrong, but you can usually win on consistency, so fine to leave it I think
21:36:18 fried_rice superdan Roger that. (By "wrong" you mean poor style, not actually programmatically incorrect?)
21:36:31 superdan wrong in the moral sense of the word
21:36:36 superdan as in, "going to hell"
21:36:37 fried_rice Heh, got it.
22:00:35 mriedem on https://review.openstack.org/#/c/504540/ i thought we were also going to limit RPs in SQL,
22:00:43 mriedem but i can understand that would get hairy quickly
22:01:06 mriedem for testing i saw something in devstack about creating a bunch of fake computes, but i doubt it still works
22:01:15 mriedem would be sweet if it did though
22:01:31 mriedem https://github.com/openstack-dev/devstack/blob/master/lib/nova#L868
22:01:52 mriedem fried_rice: ^ is something i bet you could get working in short order :)
22:03:11 fried_rice mriedem Okay, I'm looking at sh code. What's the context?
22:03:31 mriedem there is a flag in devstack to be able to say run like N number of fake driver nova compute services
22:03:37 mriedem which would give you N compute nodes
22:03:51 mriedem which would be cool for faking out a large deployment for scale testing the scheduler
22:04:01 mriedem i know the fake driver stuff in devstack works, but haven't tested NUMBER_FAKE_NOVA_COMPUTE
22:04:22 mriedem if that would be set to like 100 and actually work, it'd be sweet for testing scheduler performance changes, like cdents limit spec
22:05:19 fried_rice mriedem Gotcha. I'll see if I can try it real quick.
22:05:32 mriedem if not i'll fart around with it next week
22:05:44 mriedem i will do all the things i said i'd ever do, next week
22:05:45 fried_rice mriedem That said, I was thinking about that
22:06:05 fried_rice (getting a biggish test platform to look at performancey things e.g. limits)
22:06:23 fried_rice And really all a guy needs to do is have a placement service running and stuff it full of RPs.
22:06:23 mriedem fried_rice: http://forumtopics.openstack.org/cfp/details/21
22:06:28 mriedem if you're going to sydney
22:06:47 mriedem well, you also need compute nodes in the db
22:06:49 fried_rice mriedem I'm not.
22:06:52 mriedem doh
22:07:09 fried_rice Got two or three I'll be watching videos after.
22:07:44 fried_rice mriedem I don't think I need compute nodes to do what I'm considering.
22:07:58 fried_rice Cause we're talking about having the limiting done on the placement side
22:08:08 fried_rice initially in the py code, eventually in the sql

Earlier   Later