Thanks Mike. Just to clarify, so instead of caching a Query object, I
should cache all those queried instance in my `self.search_result_cache`,
is this the idea? Is there a way to just relay Query object from one method
to another? Which seems a little simpler to me.

On Thu, Jul 13, 2017 at 7:20 PM, Mike Bayer <mike...@zzzcomputing.com>
wrote:

> you need to use Session.merge and/or Query.merge_result so that a
> *copy* of the detached object is placed into the Session.    In
> particular, Query.merge_result was created for the use case of caching
> result sets.
>
> http://docs.sqlalchemy.org/en/latest/orm/query.html?
> highlight=merge_result#sqlalchemy.orm.query.Query.merge_result
>
>
> this links to the dogpile cache example at
> http://docs.sqlalchemy.org/en/latest/orm/examples.html#
> module-examples.dogpile_caching
> illustrates a method that I've used in production successfully.
>
>
>
>
>
> On Thu, Jul 13, 2017 at 7:38 PM, Jinghui Niu <niujing...@gmail.com> wrote:
> > I have a web application served by cherrypy (, which is multi-threaded. )
> >
> > I'm trying to cache a set of rows queried from database using
> > `self.search_result_cache` variable on the GUI_Server object. On my
> > front-end, the web first request `list_entries` to prepare the rows and
> > stores them on `self.search_result_cache`. After that, on user's mouse
> click
> > the front-end initiats another request calling `Record_entries_count`,
> which
> > is expected to revive the Query from `self.search_result_cache` and
> continue
> > on to do some data refining, e.g. summing up the count in this case.
> >
> > class GUI_Server:
> >
> >
> >     def __init__(self):
> >         self.search_result_cache = None
> >
> >
> >     @cherrypy.expose
> >     def list_entries(self, **criteriaDICT):
> >         # always store the result to self cache
> >
> >         ...
> >
> >
> >         db = cherrypy.request.db_session
> >
> >
> >         filter_func = getattr(self, 'filterCriteria_' +
> > classmodel_obj.__name__)
> >         queryOBJ = filter_func(criteriaDICT, queryOBJ)
> >         self.search_result_cache = queryOBJ
> >         db.expunge_all()
> >
> >     ....
> >
> >     def Record_entries_count(self):
> >         db = cherrypy.request.db_session
> >         query_subset = self.search_result_cache
> >         result = query_subset.count()
> >         return result
> >
> >
> > But this doesn't work. It always give me an error:
> >
> > sqlite3.ProgrammingError: SQLite objects created in a thread can only be
> > used in that same thread.The object was created in thread id
> 139937752020736
> > and this is thread id 139938238535424
> >
> >
> > I am already using `scoped_session` for each request session. I don't
> > understand why I got this error.
> >
> >
> > What is the best pratice to cache queried result across different request
> > sessions like this? Thanks a lot.
> >
> > --
> > SQLAlchemy -
> > The Python SQL Toolkit and Object Relational Mapper
> >
> > http://www.sqlalchemy.org/
> >
> > To post example code, please provide an MCVE: Minimal, Complete, and
> > Verifiable Example. See http://stackoverflow.com/help/mcve for a full
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>
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-- 
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http://www.sqlalchemy.org/

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