I wrote a full post regarding this topic on stackoverflow at  
http://stackoverflow.com/questions/11769366/why-is-sqlalchemy-insert-with-sqlite-25-times-slower-than-using-sqlite3-directly/11769768#11769768
 .  If you start with this, I can answer more specific questions.


On Nov 6, 2013, at 10:28 AM, Achim Domma <do...@procoders.net> wrote:

> Hi,
> 
> I want to speed up my SqlAlchemy bulk inserting code and yes, I'm aware that 
> this is not the main purpose of SqlAlchemy and all databases have faster low 
> level import tools.
> 
> The background is the following: We import data from various sources and 
> apply various mappings. Currently I'm willing to trade raw runtime for much 
> simpler code, which is much easier to maintain. But I still want my code to 
> run as fast as it's possible with those assumptions.
> 
> There are two scenarios which I want to optimize:
> 
> 1. Flat inserts without relations, but with unique ids generated inside the 
> database: In that case, SqlAlchemy retrieves the unique ids from the 
> database, but those ids are never used in my import process. I thought about 
> generating an insert statement out of an object. Obviously SqlAlchemy has to 
> do that too, so there might be some existing tool for that? The other option 
> would be, to tell SqlAlchemy to ignore the generated id an to not retrieve it 
> from the database. Is that possible?
> 
> 2. Inserts using relations and unique ids generated in the database: I think 
> SqlAlchemy is already quite good at optimizing this and sending objects as 
> batches. If there are any tweeks and tricks to speed up inserts having 
> relations, I would be happy to hear them.
> 
> cheers,
> Achim
> 
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