Many thanks for your help. Your are right about database (I'm using SQLite). 
I've found a tutorial at GMOD (http://gmod.org/wiki/Galaxy_Tutorial_2012) on 
how to make galaxy work with PostgreSQL, but can I change the current database 
to PostgreSQL without missing my datasets? I am running a single-user galaxy 
instance.
Cheers, Milad

> Date: Wed, 12 Mar 2014 09:07:00 +0100
> From: h...@fmi.ch
> To: mi.bast...@live.com
> CC: galaxy-dev@lists.bx.psu.edu
> Subject: Re: [galaxy-dev] error in workflow
> 
> Hi Milad
> 
> The error message: "database is locked" might be a hint.
> 
> Are you using a PostgreSQL database or just SQLite ? If the latter, you 
> will often run in troubles when running more than one job at a time, due 
> to file locking.
> 
> Regards, Hans-Rudolf
> 
> 
> On 03/11/2014 07:41 PM, Milad Bastami wrote:
> > Dear Galaxy Developers,
> > I'm running galaxy local on ubuntu and trying to run a workflow on
> > multiple datasets (separately).  Occasionally when I try to run workflow
> > on input dataset I get "Unable to finish job" error in some steps, in
> > most time the problem will be solved when I run the workflow again, but
> > this going to happen more frequently. I attached the error message here.
> > I suspect it may be related to increase in number of datasets of the
> > current history (1757 datasets with ~350GB size).
> > I will appreciate your help
> >
> > Traceback (most recent call last):
> >    File 
> > "/media/milad/acfed08f-e8e7-43d5-b582-5b5acdba9072/galaxy-dist/lib/galaxy/jobs/runners/local.py",
> >  line 116, in queue_job
> >      job_wrapper.finish( stdout, stderr, exit_code )
> >    File 
> > "/media/milad/acfed08f-e8e7-43d5-b582-5b5acdba9072/galaxy-dist/lib/galaxy/jobs/__init__.py",
> >  line 1068, in finish
> >      self.sa_session.flush()
> >    File 
> > "/media/milad/acfed08f-e8e7-43d5-b582-5b5acdba9072/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs4.egg/sqlalchemy/orm/scoping.py",
> >  line 114, in do
> >      return getattr(self.registry(), name)(*args, **kwargs)
> >    File 
> > "/media/milad/acfed08f-e8e7-43d5-b582-5b5acdba9072/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs4.egg/sqlalchemy/orm/session.py",
> >  line 1718, in flush
> >      self._flush(objects)
> >    File 
> > "/media/milad/acfed08f-e8e7-43d5-b582-5b5acdba9072/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs4.egg/sqlalchemy/orm/session.py",
> >  line 1804, in _flush
> >      transaction.commit()
> >    File 
> > "/media/milad/acfed08f-e8e7-43d5-b582-5b5acdba9072/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs4.egg/sqlalchemy/orm/session.py",
> >  line 365, in commit
> >      t[1].commit()
> >    File 
> > "/media/milad/acfed08f-e8e7-43d5-b582-5b5acdba9072/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs4.egg/sqlalchemy/engine/base.py",
> >  line 2045, in commit
> >      self._do_commit()
> >    File 
> > "/media/milad/acfed08f-e8e7-43d5-b582-5b5acdba9072/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs4.egg/sqlalchemy/engine/base.py",
> >  line 2075, in _do_commit
> >      self.connection._commit_impl()
> >    File 
> > "/media/milad/acfed08f-e8e7-43d5-b582-5b5acdba9072/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs4.egg/sqlalchemy/engine/base.py",
> >  line 1280, in _commit_impl
> >      self._handle_dbapi_exception(e, None, None, None, None)
> >    File 
> > "/media/milad/acfed08f-e8e7-43d5-b582-5b5acdba9072/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs4.egg/sqlalchemy/engine/base.py",
> >  line 1277, in _commit_impl
> >      self.engine.dialect.do_commit(self.connection)
> >    File 
> > "/media/milad/acfed08f-e8e7-43d5-b582-5b5acdba9072/galaxy-dist/eggs/SQLAlchemy-0.7.9-py2.7-linux-x86_64-ucs4.egg/sqlalchemy/engine/default.py",
> >  line 307, in do_commit
> >      connection.commit()
> > OperationalError: (OperationalError) database is locked None None
> >
> >
> >
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