Alas, the production database is SQL Server (though from Linux). I use
SQLite for testing. One of the attractions of SQLAlchemy is to stop
worrying about database differences.

I'll get it all figured out eventually. Thanks for the help.

Skip

On Tue, Nov 21, 2017 at 7:16 AM, Simon King <si...@simonking.org.uk> wrote:
> I'm pretty sure that bulk_insert_mappings ends up just calling the
> same code that I suggested.
>
> What database are you using? If it's Postgres, you might be interested
> in 
> http://docs.sqlalchemy.org/en/latest/dialects/postgresql.html#psycopg2-batch-mode
> (linked from 
> http://docs.sqlalchemy.org/en/latest/faq/performance.html#i-m-inserting-400-000-rows-with-the-orm-and-it-s-really-slow)
>
> If that still isn't fast enough, I guess you'll need to prepare a data
> file and then use the appropriate DB-specific mechanism to load it. I
> don't think SQLAlchemy has any specific tools for that.
>
> Simon
>
> On Tue, Nov 21, 2017 at 12:15 PM, Skip Montanaro
> <skip.montan...@gmail.com> wrote:
>> Thanks. I guess I'm still a bit confused. The problem I've been trying
>> to solve happens to involve inserting records into a table. In my real
>> application, the list of records can contain millions of dicts. The
>> name, "bulk_insert_mappings" sort of sounds like it's going to use
>> BULK INSERT types of statements under the covers (though I realize
>> there's certainly no guarantee of that, and I may well be reading more
>> into the name than I should).
>>
>> Like most database applications, this is got some updating, but most
>> database operations involve working with data already in the database.
>> Is it reasonable to adopt an ORM stance w.r.t. most of the application
>> code, then throw it over for more straightforward Core constructs when
>> data needs to be (in this case, bulk) updated? Or is it expected that
>> any given application should live at one level or the other?
>>
>> Skip
>>
>> --
>> SQLAlchemy -
>> The Python SQL Toolkit and Object Relational Mapper
>>
>> http://www.sqlalchemy.org/
>>
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>
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SQLAlchemy - 
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http://www.sqlalchemy.org/

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