didn't look close yet but you wouldn't want to have foreign() on a
column that is a primary key column. should be on the opposite side
of whatever refers to a primary key.
On Wed, Jan 3, 2018 at 6:28 PM, Jonathan Vanasco wrote:
> i've got a handful of bad data from some
i've got a handful of bad data from some edge cases and have been having
trouble querying the data with sqlalchemy. i attached a SSCCE below.
my cleanup script imports the model, extends `Main_Foo` with a new
relationship, and creates 2 aliases.
this selects the right rows (2 and 4) but the
Hello,
I came across this while I was building an experimental project to get to grips
with sqlalchemy. I wanted to only set some fields when inserting rows, but
wanted to decouple the code that actually built the SQL from the decision
logic, which led me to pass column references, which led
Thanks so much! Really appreciate the example.
On Wednesday, January 3, 2018 at 3:46:47 PM UTC-5, Mike Bayer wrote:
>
> On Wed, Jan 3, 2018 at 1:18 PM, Tim Chen
> wrote:
> > Let's say I'm using a uuid PK for my models with a ` server_default` set
> to
> >
It is a list of dictionaries indeed.
I will investigate this issue tomorrow. If something useful comes out or if
I have any more questions, I will write back here.
--
SQLAlchemy -
The Python SQL Toolkit and Object Relational Mapper
http://www.sqlalchemy.org/
To post example code, please
On Wed, Jan 3, 2018 at 1:18 PM, Tim Chen wrote:
> Let's say I'm using a uuid PK for my models with a ` server_default` set to
> `gen_random_uuid()` (in PostgreSQL). Is there a way to ensure the
> server_default value? I would like to catch any INSERT or UPDATE statements
>
On Wed, Jan 3, 2018 at 12:30 PM, Jevgenij Kusakovskij wrote:
> Thank you for such a quick response!
>
> Tried your suggestions, but still getting the same error.
>
> And could it be caused by some data in the DataFrame being 'odd'? E.g.
> Timestamp('2012-05-22 00:00:00')
On Wed, Jan 3, 2018 at 12:18 PM, Seth P wrote:
> Perhaps this isn't the right place to ask, but do you know when
> https://anaconda.org/conda-forge/sqlalchemy will be updated to 1.2.0?
hm, I actually know nothing about where that comes from! sorry
>
> --
> SQLAlchemy -
>
I have a few of these and generally use a variant of Simon's method where I
wrap everything in a custom class. I stash all the requirements/options in
the custom class instance, then invoke a `count()` or `paginated()` method
that builds/stashes the core query and runs `count()` or `all()` on
Let's say I'm using a uuid PK for my models with a ` server_default` set to
`gen_random_uuid()` (in PostgreSQL). Is there a way to ensure the
server_default value? I would like to catch any INSERT or UPDATE
statements that set the PK value and raise an error if possible.
--
SQLAlchemy -
Thank you for such a quick response!
Tried your suggestions, but still getting the same error.
And could it be caused by some data in the DataFrame being 'odd'? E.g.
Timestamp('2012-05-22 00:00:00') assigned to col2.
--
SQLAlchemy -
The Python SQL Toolkit and Object Relational Mapper
Perhaps this isn't the right place to ask, but do you know when
https://anaconda.org/conda-forge/sqlalchemy will be updated to 1.2.0?
--
SQLAlchemy -
The Python SQL Toolkit and Object Relational Mapper
http://www.sqlalchemy.org/
To post example code, please provide an MCVE: Minimal,
On Wed, Jan 3, 2018 at 11:21 AM, Jevgenij Kusakovskij wrote:
> I feel bad bugging you with questions everyday, but it seems that I get them
> answered here... Hope I am not abusing your hospitality.
>
> I would like to delete multiple rows from a table on a MS SQL Server. The
>
I feel bad bugging you with questions everyday, but it seems that I get
them answered here... Hope I am not abusing your hospitality.
I would like to delete multiple rows from a table on a MS SQL Server. The
rows to be deleted are given in a `pandas.DataFrame` object and there can
be thousands
On Tue, Jan 2, 2018 at 11:59 PM, Nikola Jankovic wrote:
> I have an API endpoint that handles searches from the frontend. A search can
> have a dynamic amount of filters applied to it, including (1) sizes, (2)
> colors, (3) price, and (4) category that are passed through query
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