Wednesday, 2018-02-21

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mcdoker18hi folks. did you try to launch mistral with the pypy? mistral has a some of CPU-bound tasks, for example yaql and workflow parsing, sqlalchemy and etc. I think that it can improve performance.05:42
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mcdoker18rakhmerov: How do you improve a scheduler performance?Can you share ideas a more detail?05:58
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rakhmerovmcdoker18: hi, yes, we know about these CPU-intensive things08:28
rakhmerovand keep improving them08:28
rakhmerovas far as Scheduler, there's many things to improve actually. First of all, it polls DB too agressively08:29
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rakhmerovwe can do a smarter algorithm similar to what Quartz does, using thread-local info ti decrease a number of queries to DB08:29
rakhmerovmcdoker18: we're going to discuss it at the PTG and we'll have all the notes to share08:30
mcdoker18rakhmerov: Ok, thank you. I will try to switch the Mistral to the Pypy and share a result08:39
rakhmerovpypy? Maybe I'm not following08:40
rakhmerovwhat do you mean by "pypy"?08:40
mcdoker18https://pypy.org08:43
apetrichmcdoker18, pypy seems like a good idea to try. thanks!08:44
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rakhmerovhah.. I see08:55
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rakhmerovI've never tried it08:56
rakhmerovis it worth it really?08:56
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apetrichrakhmerov, aye. In an old job we used it a lot08:57
rakhmerovso the main feature is JIT?08:57
apetrichit used 30% of processing on a day to day basis08:57
rakhmerovthis is what I understand, yeah.. But why is it supposed to take less memory?08:58
apetrichbut we were doing a lot of processor bound stuff08:58
apetrichnot sure about that.08:58
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apetrichwe were not constrained by memory nearly as much as by processing so I never cared about that back then08:58
rakhmerovJIT is fine, yeah.. However I thought some of it is also built-in in other Python implementations08:59
rakhmerovok08:59
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rakhmerovneed to look at it anyway..08:59
rakhmerovmcdoker18: btw, can you please rebase/finish your patches please?09:00
rakhmerovI believe some of them can be backported to queens09:01
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apetrichrakhmerov, pypy just used to mess up if you had something that inherit by both new style class AND old style class09:05
apetrichthose were really slow09:05
rakhmerovok09:05
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openstackgerritRenat Akhmerov proposed openstack/mistral master: Fix decrepancy between action and workflow update  https://review.openstack.org/47651409:24
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openstackgerritMerged openstack/mistral master: Explain better combinations of task names and engine commands in docs  https://review.openstack.org/54569210:04
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rakhmerovd0ugal__: please approve https://review.openstack.org/#/c/546557/ if you are OK with this backport10:29
d0ugal__rakhmerov: I'll try and take a look - having big internet issues today10:30
d0ugal__cc apetrich ^10:30
rakhmerovok10:31
apetrichd0ugal__, rakhmerov I can't +2 or +W backports10:32
rakhmerovthis is my patch about docs10:32
rakhmerovapetrich: I know )10:32
d0ugal__apetrich: just so you know about my internet issues10:32
rakhmerovok10:32
apetrichd0ugal__, and d0ugal___ and or d0ugal____ I know10:32
d0ugal__lol10:33
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openstackgerritNguyen Hung Phuong proposed openstack/python-mistralclient master: Clean imports in code  https://review.openstack.org/54656310:48
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mcdoker181818PyPy vs CPython Performance on OpenStack Neutron https://pythonfiles.wordpress.com/2017/05/04/pypy-neutron-measurements/13:13
mcdoker181818rakhmerov: Yeah, I update my all of MR this weekend.13:14
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rakhmerovthanks13:14
mcdoker181818Optimizing OpenStack* Swift* Performance with PyPy*  https://software.intel.com/en-us/articles/optimizing-openstack-swift-performance-with-pypy13:15
rakhmerovquite impressive, yes13:17
rakhmerovmcdoker181818: did you try Mistral with PyPy? )13:17
rakhmerovif Rally has issues with accessing DB when using PyPy I believe Mistral will have too because there are very complicated data access patterns in Mistral13:18
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mcdoker181818rakhmerov: Not yet. But i plan it this weekend too. I want to create a Docker image as proof of concept.13:23
rakhmerovok13:23
rakhmerovlet us know the results )13:23
mcdoker181818Of course)13:24
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openstackgerritMerged openstack/python-mistralclient master: Clean imports in code  https://review.openstack.org/54656315:19
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