Just throwing this out there:
May be the sessions are open o_O? If you're using sqlalchemy to talk to
the DB then may be open and close the sessions per transaction than keep
them open for all threads?
On 3/23/16 3:49 PM, pnkk wrote:
> Joshua,
>
> We are performing few scaling tests for our solution and see that
> there are errors as below:
>
> Failed saving logbook 'cc6f5cbd-c2f7-4432-9ca6-fff185cf853b'\n
> InternalError: (pymysql.err.InternalError) (1205, u'Lock wait timeout
> exceeded; try restarting transaction') [SQL: u'UPDATE logbooks SET
> created_at=%s, updated_at=%s, meta=%s, name=%s, uuid=%s WHERE logbooks.uuid =
> %s'] [parameters: (datetime.datetime(2016, 3, 18, 18, 16, 40),
> datetime.datetime(2016, 3, 23, 3, 3, 44, 95395), u'{}', u'test',
> u'cc6f5cbd-c2f7-4432-9ca6-fff185cf853b',
> u'cc6f5cbd-c2f7-4432-9ca6-fff185cf853b')]"
> We have about 800 flows as of now and each flow is updated in the same
> logbook in a separate eventlet thread.
> Every thread calls save_logbook() on the same logbook record. I think this
> function is trying to update logbook record even though my usecase needs only
> flow details to be inserted and it doesn't update any information related to
> logbook.
> Probably one of the threads was holding the lock while updating, and others
> tried for lock and failed after the default interval has elapsed.
> I can think of few alternatives at the moment:
> 1. Increase the number of logbooks
> 2. Increase the innodb_lock_wait_timeout
> 3. There are some suggestions to make the innodb transaction isolation level
> to "READ COMMITTED" instead of "REPEATABLE READ", but I am not very familiar
> of the side effects they can cause
> Appreciate your thoughts on given alternatives or probably even better
> alternative
> Thanks,
> Kanthi
>
> On Sun, Mar 20, 2016 at 10:00 PM, Joshua Harlow <[email protected]
> <mailto:[email protected]>> wrote:
>
> Lingxian Kong wrote:
>
> Kanthi, sorry for chiming in, I suggest you may have a chance
> to take
> a look at Mistral[1], which is the workflow as a service in
> OpenStack(or without OpenStack).
>
>
> Out of curiosity, why? Seems the ML post was about 'TaskFlow
> persistence' not mistral, just saying (unsure how it is relevant
> to mention mistral in this)...
>
> Back to getting more coffee...
>
> -Josh
>
>
>
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Thanks,
Nikhil
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