Re: [galaxy-dev] data collections - workflow - bug?
Torsten - thanks for reporting this. This bug was reported a few more times - and after several false starts I think we have finally found a fix (with a lot of help from Marius van den Beek, Philip Mabon, Aaron Petkau, and Franklin Bristow - big thanks to each of them). Pull Request with Fix: https://github.com/galaxyproject/galaxy/pull/52 Trello Card Tracking Progress: https://trello.com/c/I0n23JEP Thanks for the patience all, -John On Tue, Jan 27, 2015 at 12:35 PM, Torsten Houwaart wrote: > I will try to build a smaller testcase that fails and talk about the job > handlers with Björn tomorrow. I tried this with quite a big workflow which I > built from scratch (in the editor). I'll get back to you. > > Best, > Torsten > > > > On 27.01.2015 18:25, John Chilton wrote: >> >> Sorry again about this mixup (bringing conversation back on channel). >> Does this happen everytime you run a workflow with collections? Do you >> know how many job handlers Galaxy is configured with? >> >> -John >> >> On Mon, Jan 26, 2015 at 11:24 AM, John Chilton >> wrote: >>> >>> Ugh misread sqlalchemy as sqlite. I will work on this. >>> >>> -John >>> >>> On Mon, Jan 26, 2015 at 11:16 AM, Torsten Houwaart >>> wrote: Hi John, i ran this on the Galaxy server in Freiburg: galaxy.uni-freiburg.de Björn (who sits immediately opposite of my desk :) ) told me it's a Postres database and that shouldn't be the problem. Best, Torsten On 26.01.2015 16:48, John Chilton wrote: > > Hey, > > Really intensive database operations including datasest collections > but other things too like multi-running tools or workflows over many > individual datasets for instance - can very easily overwhelm the > default sqlite database. This is frustrating and shouldn't happen - > but it does unfortunately. I would recommend using a postgres database > when testing out dataset collections. The good news is that it is > easier than ever to get a fully fledged production-quality server > thanks to Bjoern's docker server > (https://github.com/bgruening/docker-galaxy-stable) - it comes bundled > with Postgres and Slurm so it should be able to handle the collection > operations. If you need to run Galaxy on a non-containerized server > (for instance because that is where the software is) more information > on setting up Galaxy can be found here > > https://wiki.galaxyproject.org/Admin/Config/Performance/ProductionServer. > > Here is a Trello card to track progress on the database optimization > efforts if you are interested https://trello.com/c/UPLsMKQI. > > Very sorry. > > -John > > > > -John > > On Mon, Jan 26, 2015 at 9:35 AM, Torsten Houwaart > wrote: >> >> Hello Galaxy Devs, >> >> I was using data collections (for the first time) for a new workflow >> of >> ours >> and I ran into this problem. There was no complaint by the >> workflow-editor >> and I could start the workflow but then happened. >> If you need more information about the workflow or otherwise let me >> know. >> >> Best, >> Torsten H. >> >> >> job traceback: >> Traceback (most recent call last): >> File >> "/usr/local/galaxy/galaxy-dist/lib/galaxy/jobs/runners/__init__.py", >> line 565, in finish_job >> job_state.job_wrapper.finish( stdout, stderr, exit_code ) >> File "/usr/local/galaxy/galaxy-dist/lib/galaxy/jobs/__init__.py", >> line >> 1250, in finish >> self.sa_session.flush() >> File >> >> >> "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/scoping.py", >> line 114, in do >> return getattr(self.registry(), name)(*args, **kwargs) >> File >> >> >> "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/session.py", >> line 1718, in flush >> self._flush(objects) >> File >> >> >> "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/session.py", >> line 1789, in _flush >> flush_context.execute() >> File >> >> >> "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/unitofwork.py", >> line 331, in execute >> rec.execute(self) >> File >> >> >> "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/unitofwork.py", >> line 475, in execute >> uow >> File >> >> >> "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/persistence.py", >> line 59, in save_obj >> mapper, table, update) >> File >> >> >> "/usr/local/
Re: [galaxy-dev] data collections - workflow - bug?
I will try to build a smaller testcase that fails and talk about the job handlers with Björn tomorrow. I tried this with quite a big workflow which I built from scratch (in the editor). I'll get back to you. Best, Torsten On 27.01.2015 18:25, John Chilton wrote: Sorry again about this mixup (bringing conversation back on channel). Does this happen everytime you run a workflow with collections? Do you know how many job handlers Galaxy is configured with? -John On Mon, Jan 26, 2015 at 11:24 AM, John Chilton wrote: Ugh misread sqlalchemy as sqlite. I will work on this. -John On Mon, Jan 26, 2015 at 11:16 AM, Torsten Houwaart wrote: Hi John, i ran this on the Galaxy server in Freiburg: galaxy.uni-freiburg.de Björn (who sits immediately opposite of my desk :) ) told me it's a Postres database and that shouldn't be the problem. Best, Torsten On 26.01.2015 16:48, John Chilton wrote: Hey, Really intensive database operations including datasest collections but other things too like multi-running tools or workflows over many individual datasets for instance - can very easily overwhelm the default sqlite database. This is frustrating and shouldn't happen - but it does unfortunately. I would recommend using a postgres database when testing out dataset collections. The good news is that it is easier than ever to get a fully fledged production-quality server thanks to Bjoern's docker server (https://github.com/bgruening/docker-galaxy-stable) - it comes bundled with Postgres and Slurm so it should be able to handle the collection operations. If you need to run Galaxy on a non-containerized server (for instance because that is where the software is) more information on setting up Galaxy can be found here https://wiki.galaxyproject.org/Admin/Config/Performance/ProductionServer. Here is a Trello card to track progress on the database optimization efforts if you are interested https://trello.com/c/UPLsMKQI. Very sorry. -John -John On Mon, Jan 26, 2015 at 9:35 AM, Torsten Houwaart wrote: Hello Galaxy Devs, I was using data collections (for the first time) for a new workflow of ours and I ran into this problem. There was no complaint by the workflow-editor and I could start the workflow but then happened. If you need more information about the workflow or otherwise let me know. Best, Torsten H. job traceback: Traceback (most recent call last): File "/usr/local/galaxy/galaxy-dist/lib/galaxy/jobs/runners/__init__.py", line 565, in finish_job job_state.job_wrapper.finish( stdout, stderr, exit_code ) File "/usr/local/galaxy/galaxy-dist/lib/galaxy/jobs/__init__.py", line 1250, in finish self.sa_session.flush() File "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/scoping.py", line 114, in do return getattr(self.registry(), name)(*args, **kwargs) File "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/session.py", line 1718, in flush self._flush(objects) File "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/session.py", line 1789, in _flush flush_context.execute() File "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/unitofwork.py", line 331, in execute rec.execute(self) File "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/unitofwork.py", line 475, in execute uow File "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/persistence.py", line 59, in save_obj mapper, table, update) File "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/persistence.py", line 485, in _emit_update_statements execute(statement, params) File "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/engine/base.py", line 1449, in execute params) File "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/engine/base.py", line 1584, in _execute_clauseelement compiled_sql, distilled_params File "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/engine/base.py", line 1698, in _execute_context context) File "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/engine/base.py", line 1691, in _execute_context context) File "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/engine/default.py", line 331, in do_execute cursor.execute(statement, parameters) DBAPIError: (TransactionRollbackError) deadlock detected DETAIL: Process 3144 waits for ShareLock on transaction 2517124; blocked by process 3143. Process 3143 waits for ShareLock on transaction 2517123; blocked by pr
Re: [galaxy-dev] data collections - workflow - bug?
Sorry again about this mixup (bringing conversation back on channel). Does this happen everytime you run a workflow with collections? Do you know how many job handlers Galaxy is configured with? -John On Mon, Jan 26, 2015 at 11:24 AM, John Chilton wrote: > Ugh misread sqlalchemy as sqlite. I will work on this. > > -John > > On Mon, Jan 26, 2015 at 11:16 AM, Torsten Houwaart > wrote: >> Hi John, >> >> i ran this on the Galaxy server in Freiburg: galaxy.uni-freiburg.de >> Björn (who sits immediately opposite of my desk :) ) told me it's a Postres >> database and that shouldn't be the problem. >> >> Best, >> Torsten >> >> >> On 26.01.2015 16:48, John Chilton wrote: >>> >>> Hey, >>> >>>Really intensive database operations including datasest collections >>> but other things too like multi-running tools or workflows over many >>> individual datasets for instance - can very easily overwhelm the >>> default sqlite database. This is frustrating and shouldn't happen - >>> but it does unfortunately. I would recommend using a postgres database >>> when testing out dataset collections. The good news is that it is >>> easier than ever to get a fully fledged production-quality server >>> thanks to Bjoern's docker server >>> (https://github.com/bgruening/docker-galaxy-stable) - it comes bundled >>> with Postgres and Slurm so it should be able to handle the collection >>> operations. If you need to run Galaxy on a non-containerized server >>> (for instance because that is where the software is) more information >>> on setting up Galaxy can be found here >>> https://wiki.galaxyproject.org/Admin/Config/Performance/ProductionServer. >>> >>> Here is a Trello card to track progress on the database optimization >>> efforts if you are interested https://trello.com/c/UPLsMKQI. >>> >>> Very sorry. >>> >>> -John >>> >>> >>> >>> -John >>> >>> On Mon, Jan 26, 2015 at 9:35 AM, Torsten Houwaart >>> wrote: Hello Galaxy Devs, I was using data collections (for the first time) for a new workflow of ours and I ran into this problem. There was no complaint by the workflow-editor and I could start the workflow but then happened. If you need more information about the workflow or otherwise let me know. Best, Torsten H. job traceback: Traceback (most recent call last): File "/usr/local/galaxy/galaxy-dist/lib/galaxy/jobs/runners/__init__.py", line 565, in finish_job job_state.job_wrapper.finish( stdout, stderr, exit_code ) File "/usr/local/galaxy/galaxy-dist/lib/galaxy/jobs/__init__.py", line 1250, in finish self.sa_session.flush() File "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/scoping.py", line 114, in do return getattr(self.registry(), name)(*args, **kwargs) File "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/session.py", line 1718, in flush self._flush(objects) File "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/session.py", line 1789, in _flush flush_context.execute() File "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/unitofwork.py", line 331, in execute rec.execute(self) File "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/unitofwork.py", line 475, in execute uow File "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/persistence.py", line 59, in save_obj mapper, table, update) File "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/persistence.py", line 485, in _emit_update_statements execute(statement, params) File "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/engine/base.py", line 1449, in execute params) File "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/engine/base.py", line 1584, in _execute_clauseelement compiled_sql, distilled_params File "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/engine/base.py", line 1698, in _execute_context context) File "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/engine/base.py", line 1691, in _execute_context context) File "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/engine/default.py", line 331, in do_execute curso
Re: [galaxy-dev] data collections - workflow - bug?
Hey,
Really intensive database operations including datasest collections
but other things too like multi-running tools or workflows over many
individual datasets for instance - can very easily overwhelm the
default sqlite database. This is frustrating and shouldn't happen -
but it does unfortunately. I would recommend using a postgres database
when testing out dataset collections. The good news is that it is
easier than ever to get a fully fledged production-quality server
thanks to Bjoern's docker server
(https://github.com/bgruening/docker-galaxy-stable) - it comes bundled
with Postgres and Slurm so it should be able to handle the collection
operations. If you need to run Galaxy on a non-containerized server
(for instance because that is where the software is) more information
on setting up Galaxy can be found here
https://wiki.galaxyproject.org/Admin/Config/Performance/ProductionServer.
Here is a Trello card to track progress on the database optimization
efforts if you are interested https://trello.com/c/UPLsMKQI.
Very sorry.
-John
-John
On Mon, Jan 26, 2015 at 9:35 AM, Torsten Houwaart
wrote:
> Hello Galaxy Devs,
>
> I was using data collections (for the first time) for a new workflow of ours
> and I ran into this problem. There was no complaint by the workflow-editor
> and I could start the workflow but then happened.
> If you need more information about the workflow or otherwise let me know.
>
> Best,
> Torsten H.
>
>
> job traceback:
> Traceback (most recent call last):
> File "/usr/local/galaxy/galaxy-dist/lib/galaxy/jobs/runners/__init__.py",
> line 565, in finish_job
> job_state.job_wrapper.finish( stdout, stderr, exit_code )
> File "/usr/local/galaxy/galaxy-dist/lib/galaxy/jobs/__init__.py", line
> 1250, in finish
> self.sa_session.flush()
> File
> "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/scoping.py",
> line 114, in do
> return getattr(self.registry(), name)(*args, **kwargs)
> File
> "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/session.py",
> line 1718, in flush
> self._flush(objects)
> File
> "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/session.py",
> line 1789, in _flush
> flush_context.execute()
> File
> "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/unitofwork.py",
> line 331, in execute
> rec.execute(self)
> File
> "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/unitofwork.py",
> line 475, in execute
> uow
> File
> "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/persistence.py",
> line 59, in save_obj
> mapper, table, update)
> File
> "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/persistence.py",
> line 485, in _emit_update_statements
> execute(statement, params)
> File
> "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/engine/base.py",
> line 1449, in execute
> params)
> File
> "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/engine/base.py",
> line 1584, in _execute_clauseelement
> compiled_sql, distilled_params
> File
> "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/engine/base.py",
> line 1698, in _execute_context
> context)
> File
> "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/engine/base.py",
> line 1691, in _execute_context
> context)
> File
> "/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/engine/default.py",
> line 331, in do_execute
> cursor.execute(statement, parameters)
> DBAPIError: (TransactionRollbackError) deadlock detected
> DETAIL: Process 3144 waits for ShareLock on transaction 2517124; blocked by
> process 3143.
> Process 3143 waits for ShareLock on transaction 2517123; blocked by process
> 3144.
> 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, 1, 26, 14, 20, 4, 155440), 'workflow_invocation_id':
> 5454}
>
>
> ___
> Please keep all replies on the list by using "reply all"
> in your mail client. To manage your subscriptions to this
> and other Galaxy lists, please use the interface at:
> https://lists.galaxyproject.org/
>
> To search Galaxy mailing lists use the unified search at:
> http://galaxyproject.org/search/mailinglists/
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[galaxy-dev] data collections - workflow - bug?
Hello Galaxy Devs,
I was using data collections (for the first time) for a new workflow of ours and I
ran into this problem. There was no complaint by the workflow-editor and I could
start the workflow but then happened.
If you need more information about the workflow or otherwise let me know.
Best,
Torsten H.
job traceback:
Traceback (most recent call last):
File "/usr/local/galaxy/galaxy-dist/lib/galaxy/jobs/runners/__init__.py",
line 565, in finish_job
job_state.job_wrapper.finish( stdout, stderr, exit_code )
File "/usr/local/galaxy/galaxy-dist/lib/galaxy/jobs/__init__.py", line 1250,
in finish
self.sa_session.flush()
File
"/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/scoping.py",
line 114, in do
return getattr(self.registry(), name)(*args, **kwargs)
File
"/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/session.py",
line 1718, in flush
self._flush(objects)
File
"/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/session.py",
line 1789, in _flush
flush_context.execute()
File
"/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/unitofwork.py",
line 331, in execute
rec.execute(self)
File
"/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/unitofwork.py",
line 475, in execute
uow
File
"/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/persistence.py",
line 59, in save_obj
mapper, table, update)
File
"/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/orm/persistence.py",
line 485, in _emit_update_statements
execute(statement, params)
File
"/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/engine/base.py",
line 1449, in execute
params)
File
"/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/engine/base.py",
line 1584, in _execute_clauseelement
compiled_sql, distilled_params
File
"/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/engine/base.py",
line 1698, in _execute_context
context)
File
"/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/engine/base.py",
line 1691, in _execute_context
context)
File
"/usr/local/galaxy/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs2.egg/sqlalchemy/engine/default.py",
line 331, in do_execute
cursor.execute(statement, parameters)
DBAPIError: (TransactionRollbackError) deadlock detected
DETAIL: Process 3144 waits for ShareLock on transaction 2517124; blocked by
process 3143.
Process 3143 waits for ShareLock on transaction 2517123; blocked by process
3144.
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, 1, 26, 14, 20, 4, 155440), 'workflow_invocation_id':
5454}
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Please keep all replies on the list by using "reply all"
in your mail client. To manage your subscriptions to this
and other Galaxy lists, please use the interface at:
https://lists.galaxyproject.org/
To search Galaxy mailing lists use the unified search at:
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