Hello John,

Awesome, thanks so much for looking into this and all the other work you've been doing on dataset collections.  Yes, this is the January stable release, exact commit is https://bitbucket.org/galaxy/galaxy-dist/commits/097bbb3b7d3246faaa5188a1fc2a79b01630025c.  I currently have one web worker and one background job handler so it would have been scheduled in the job handler.  It is configured like:

[server:handler0]
use = egg:Paste#http
port = 8079
host = 127.0.0.1
use_threadpool = true
threadpool_workers = 5


I can paste the relevant section from the handler log, but I didn't see anything there other then the same exception and stack trace.

Our job handler is submitting to our cluster using DRMAA, from job_conf.xml:

<plugin id="drmaa" type="runner" load="galaxy.jobs.runners.drmaa:DRMAAJobRunner" workers="8"/>

The submission did take forever, over an hour.  It was being submitted through the API so I didn't check the web response time but from my experience before I imagine it would be very slow.  I've noticed this slowdown before when I get into the 150-200 paired-end samples range.

I'll look forward to the next release though.  It would be awesome to have the workflow submission sped up.

Let me know if there's any other info I can provide to help debug,

Aaron

On Fri, Feb 27, 2015 at 9:38 AM, John Chilton <jmchilton@gmail.com> wrote:
Hey Aaron,

Thanks for the bug report - I have added it to Trello here
(https://trello.com/c/I0n23JEP). I assume this is the January stable
release (15.01)? Any clue if this workflow was being scheduled in a
web thread or a background job handler thread? (Did the submission
take forever - or was the web page responsive and the server bogged
down).

So there is a race condition here it would seem - and I don't have a
fix right away - but I do think (hope) the next release due out in a
couple of weeks will result in a massive speed up in workflow
scheduling - so hopefully we will be less likely to hit these
conditions.

-John

On Fri, Feb 27, 2015 at 10:11 AM, Aaron Petkau <aaron.petkau@gmail.com> wrote:
> Hey,
>
> I wanted to know if anyone else has had experience with database deadlock
> when using dataset collections and running a large number of samples through
> a workflow.
>
> Traceback (most recent call last):
>   File
> "/Warehouse/Applications/irida/galaxy/galaxy-dist/lib/galaxy/jobs/runners/__init__.py",
> line 565, in finish_job
>     job_state.job_wrapper.finish( stdout, stderr, exit_code )
>   File
> "/Warehouse/Applications/irida/galaxy/galaxy-dist/lib/galaxy/jobs/__init__.py",
> line 1250, in finish
>     self.sa_session.flush()
>   File
> "/Warehouse/Applications/irida/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.6-linux-x86_64-ucs4.egg/sqlalchemy/orm/scoping.py",
> line 114, in do
>     return getattr(self.registry(), name)(*args, **kwargs)
>   File
> "/Warehouse/Applications/irida/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.6-linux-x86_64-ucs4.egg/sqlalchemy/orm/session.py",
> line 1718, in flush
>     self._flush(objects)
>   File
> "/Warehouse/Applications/irida/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.6-linux-x86_64-ucs4.egg/sqlalchemy/orm/session.py",
> line 1789, in _flush
>     flush_context.execute()
>   File
> "/Warehouse/Applications/irida/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.6-linux-x86_64-ucs4.egg/sqlalchemy/orm/unitofwork.py",
> line 331, in execute
>     rec.execute(self)
>   File
> "/Warehouse/Applications/irida/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.6-linux-x86_64-ucs4.egg/sqlalchemy/orm/unitofwork.py",
> line 475, in execute
>     uow
>   File
> "/Warehouse/Applications/irida/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.6-linux-x86_64-ucs4.egg/sqlalchemy/orm/persistence.py",
> line 59, in save_obj
>     mapper, table, update)
>   File
> "/Warehouse/Applications/irida/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.6-linux-x86_64-ucs4.egg/sqlalchemy/orm/persistence.py",
> line 485, in _emit_update_statements
>     execute(statement, params)
>   File
> "/Warehouse/Applications/irida/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.6-linux-x86_64-ucs4.egg/sqlalchemy/engine/base.py",
> line 1449, in execute
>     params)
>   File
> "/Warehouse/Applications/irida/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.6-linux-x86_64-ucs4.egg/sqlalchemy/engine/base.py",
> line 1584, in _execute_clauseelement
>     compiled_sql, distilled_params
>   File
> "/Warehouse/Applications/irida/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.6-linux-x86_64-ucs4.egg/sqlalchemy/engine/base.py",
> line 1698, in _execute_context
>     context)
>   File
> "/Warehouse/Applications/irida/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.6-linux-x86_64-ucs4.egg/sqlalchemy/engine/base.py",
> line 1691, in _execute_context
>     context)
>   File
> "/Warehouse/Applications/irida/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.6-linux-x86_64-ucs4.egg/sqlalchemy/engine/default.py",
> line 331, in do_execute
>     cursor.execute(statement, parameters)
> DBAPIError: (TransactionRollbackError) deadlock detected
> DETAIL:  Process 25859 waits for ShareLock on transaction 144373; blocked by
> process 25858.
> Process 25858 waits for ShareLock on transaction 144372; blocked by process
> 25859.
> HINT:  See server log for query details.
>  'UPDATE workflow_invocation SET update_time=%(update_time)s WHERE
> workflow_invocation.id = %(workflow_invocation_id)s' {'update_time':
> datetime.datetime(2015, 2, 27, 3, 51, 57, 81403), 'workflow_invocation_id':
> 48}
>
> I saw this post
> http://dev.list.galaxyproject.org/data-collections-workflow-bug-td4666496.html
> with a similar issue and the solution was to make sure not to use a sqlite
> database, but I'm using a postgres database and still encountered this
> issue.  This was after running a very large number of samples (~200) using
> dataset collections.  Just wondering if anyone else was running into this
> issue?
>
> Thanks,
>
> Aaron
>
>
>
>
>
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