I noticed that {'polymorphic_load': 'selectin'} on single table inheritance 
can make several SQL queries unnecessarily.

Le mercredi 12 juillet 2017 22:02:04 UTC+3, yoch....@gmail.com a écrit :
>
> Very awaited version for me (because the selectin) !
>
> I tested in my code both the eagerload and the polymorphic usages, and 
> everything works perfectly.
>
> Thank you Mike
>
> Le lundi 10 juillet 2017 16:44:03 UTC+3, Mike Bayer a écrit :
>>
>> SQLAlchemy release 1.2.0b1 is now available. 
>>
>> This is the first beta for the 1.2 series of SQLAlchemy. As is always 
>> the case for beta releases, the release is available on Pypi, but only 
>> installable when specifying the --pre flag with pip. 
>>
>> Key highlights of version 1.2 include: 
>>
>> * Connection pool pre-ping - The connection pool now includes an 
>> optional "pre ping" feature that will test the "liveness" of a pooled 
>> connection for every connection checkout, transparently recycling the 
>> DBAPI connection if the database is disconnected. This feature 
>> eliminates the need for the "pool recycle" flag as well as the issue 
>> of errors raised when a pooled connection is used after a database 
>> restart. 
>>
>> * New eagerloading features - an all-new eager loader called 
>> "selectin" is added. This loader is similar to "subquery" eager 
>> loading, but foregoes embedding a complex subquery in favor of using a 
>> simple IN expression which uses the primary key values of the 
>> just-loaded objects to locate related rows. This style of loading will 
>> perform dramatically better than "subquery" eager loading in many 
>> cases. 
>>
>> * New polymorphic loading options - A new "selectin" loader is also 
>> implemented for polymorphic inheritance hierarchies, which will load 
>> the extra table rows for subclasses in a result set all at once, 
>> without the need to use JOIN or "with_polymorphic". New declarative 
>> options are added to allow per-subclass polymorphic loading 
>> configuration as well. 
>>
>> * The IN operator now emits a simple expression for empty IN - The 
>> long standing behavior of "empty in" resolving to a non-performant 
>> expression with a warning has been removed as default behavior; for an 
>> IN with no elements, a simple 1 != 1 expression is now used to 
>> evaluate to "false". 
>>
>> * INSERT..ON DUPLICATE KEY UPDATE support in MySQL - complementing the 
>> support for PostgreSQL "INSERT..ON CONFLICT" in 1.1, the MySQL dialect 
>> now supports the ON DUPLICATE KEY phrase. Simple database-agnostic 
>> "merge" routines can now be composed against these two backends. 
>>
>> * COMMENT Support - thanks to a generous contribution, version 1.2 can 
>> emit all necessary DDL as well as fully reflect SQL comments for 
>> tables and columns against the MySQL, PostgreSQL, and Oracle backends. 
>>
>> * SQL expression caching within ORM loaders - the "lazyload" feature 
>> as well as the new "selectin" loading now use SQL expression caching 
>> using the "baked query" extension when emitting queries, removing a 
>> significant bulk of Python overhead from these very common operations. 
>>
>> Users should carefully review the "What's New in SQLAlchemy 1.2? 
>> document" [1] as well as the Changelog [2] to note which behaviors and 
>> issues are affected. We'd like to thank the many contributors who 
>> helped with this release. 
>>
>> SQLAlchemy 1.2.0b1 is available on the Download Page [3]. 
>>
>> [1] http://docs.sqlalchemy.org/en/latest/changelog/migration_12.html 
>> [2] http://www.sqlalchemy.org/changelog/CHANGES_1_2_0b1 
>> [3] http://www.sqlalchemy.org/download.html 
>>
>

-- 
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 description.
--- 
You received this message because you are subscribed to the Google Groups 
"sqlalchemy" group.
To unsubscribe from this group and stop receiving emails from it, send an email 
to sqlalchemy+unsubscr...@googlegroups.com.
To post to this group, send email to sqlalchemy@googlegroups.com.
Visit this group at https://groups.google.com/group/sqlalchemy.
For more options, visit https://groups.google.com/d/optout.

Reply via email to