I'm doing some experiments to see what is the best approach to write a
lot of data on disk,
On file and running commit after every opoeration: Function in_file
took 64.531976 seconds to run
In memory and not dumping to file: Function in_memory took 0.242011
seconds to run
On file and
The question is probably very simple, but I can't find an answer anywhere...
Suppose I already have some tables declarad in a declarative way, as
below, how do I create the database schema from them?
I usually always did with the
meta.create_all() after defining the various Table('name', meta...)
2012/8/21 Simon King si...@simonking.org.uk:
The MetaData instance is available via the declarative base class, so
you should be able to do something like:
Base.metadata.create_all()
http://docs.sqlalchemy.org/en/rel_0_7/orm/extensions/declarative.html#accessing-the-metadata
Hope that
I am rewriting a big codebase that has to deal with an overly
complicated database. So one thing which I found very useful for
testing purposes is to replicate only the tables and columns that I
actually need and load them in a memory database to play around with
things.
So for example I have
Supposing for example that I want to do a simple select * from table it
becomes:
table.select().execute().fetchall()
which is a bit harder to understand, and things get more complicated (for
me at least) with joins co.
Is there a good explanation somewhere of the algorithm that actually
