On 2019-10-07 5:30 PM, Albert-Jan Roskam wrote:
Hi,
I am using sqlalchemy (SA) to access a MS SQL Server database (python 3.5, Win
10). I would like to use a temporary table (preferably #local, but ##global
would also be an option) to store results of a time-consuming query. In other
queries I'd like to access the temporary table again in various places in my
Flask app. How do I do that, given that SA closes the connection after each
request?
I can do:
with engine.connect() as con:
con.execute('select * into #tmp from tbl')
con.execute('select * from #tmp')
... but that's limited to the scope of the context manager.
Oh, I don't have rights to create a 'real' table. :-(
Thanks!
Albert-Jan
This does not answer your question directly, but FWIW this is what I do.
I do not use SA, but I have written my app to support Sql Server,
PostgreSQL and sqlite3 as backend databases. However, no matter which
one is in use, I also use sqlite3 as an in-memory database to store
temporary information. It took me a little while to get it all working
smoothly, but now it works well.
Of course this may not work for you if you have a large volume of temp
data, but it may be worth trying.
Frank Millman
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