So i loaded and tested the mmsql dialect and it gave the same results. It
returns a list of pyodbc.Row
from sqlalchemy import Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import create_engine
from sqlalchemy import Table, Column, Integer, String, MetaData, ForeignKey
from sqlalchemy import inspect
from sqlalchemy.dialects import registry
engine =
create_engine("mssql+pyodbc://MYUSER:MYPASSWORD@IP:1433/corn?driver=FreeTDS")
connection = engine.raw_connection()
try:
cursor = connection.cursor()
cursor.execute("SELECT * FROM ADV.MYTABLE")
results_one = cursor.fetchmany(100)
for row in results_one:
print(type(row))
cursor.close()
finally:
connection.close()
On Tuesday, January 9, 2018 at 4:38:54 PM UTC-6, Mike Bayer wrote:
>
> There's the README at
> https://github.com/zzzeek/sqlalchemy/blob/master/README.dialects.rst
> which also includes some links to an example dialect.
>
> On Jan 9, 2018 12:35 PM, "Russ Wilson" <rpwi...@gmail.com <javascript:>>
> wrote:
>
> Is there a good doc that covered at at min needs to be extended to create
> a dialect?
>
> On Mon, Jan 8, 2018 at 3:15 PM Mike Bayer <mik...@zzzcomputing.com
> <javascript:>> wrote:
>
>> On Sun, Jan 7, 2018 at 9:07 PM, Russ Wilson <rpwi...@gmail.com
>> <javascript:>> wrote:
>> > I noticed if you use the cursor.fetchmany it returns the pyodbc types.
>> Is
>> > this an issue with the dialect? if you use the connection execute you
>> are
>> > correct it returns a resultrow. Thanks for the help.
>> >
>> > cursor = connection.cursor()
>> > cursor.execute("SELECT * FROM mytable")
>> > results_one = cursor.fetchmany(100)
>> > for row in results_one:
>> > print(type(row))
>>
>> It's not an issue, when you call SQLAlchemy's fetchmany(), it is
>> internally retrieving the pyobc row objects and converting them to
>> ResultRow objects.
>>
>> As I mentioned before, we have three dialects that use Pyodbc and two
>> are production quality, same API, same row objects, etc.
>>
>>
>>
>> >
>> >
>> > On Sunday, January 7, 2018 at 12:01:29 PM UTC-6, Mike Bayer wrote:
>> >>
>> >>
>> >>
>> >> On Jan 7, 2018 11:29 AM, "Russ Wilson" <rpwi...@gmail.com> wrote:
>> >>
>> >> When I attempt to create a panda dataframe from the results it throws
>> this
>> >> error "Shape of passed values is (1, 100), indices imply (9, 100)"
>> because
>> >> it is seeing the results as 1 column vs a list of columns. Ill take a
>> look
>> >> at the SQL Server one. Thanks
>> >>
>> >>
>> >> That has nothing to do with a SQLAlchemy dialect because all SQLAlchemy
>> >> result sets come back as a ResultSet object and every row is a
>> ResultRow.
>> >> The pyodbc internals are not exposed.
>> >>
>> >>
>> >>
>> >> pd.DataFrame(data=data, columns=column_names)
>> >>
>> >>
>> >>
>> >> On Saturday, January 6, 2018 at 11:57:57 PM UTC-6, Mike Bayer wrote:
>> >>>
>> >>> pyodbc.Row acts like a tuple so there is no special conversion needed.
>> >>>
>> >>> SQLAlchemy has three pyodbc dialects, for SQL Server (very stable),
>> >>> MySQL (sorta works), and Sybase (probably doesn't work), but you can
>> >>> use the first two as examples for the basics. They base off of the
>> >>> PyODBCConnector in connectors/pyodbc.py.
>> >>>
>> >>>
>> >>> On Sun, Jan 7, 2018 at 12:40 AM, Russ Wilson <rpwi...@gmail.com>
>> wrote:
>> >>> >
>> >>> > I was attempting to create a new dialect but hit and issue. pyodbc
>> is
>> >>> > returning a list of pyodbc.Row. Is there a method i should be
>> >>> > implementing
>> >>> > to convert the list to a list of tuples.
>> >>> >
>> >>> > Thanks
>> >>> >
>> >>> > --
>> >>> > SQLAlchemy -
>> >>> > The Python SQL Toolkit and Object Relational Mapper
>> >>> >
>> >>> > http://www.sqlalchemy.org/
>> >>> >
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>> >>
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>> > The Python SQL Toolkit and Object Relational Mapper
>> >
>> > http://www.sqlalchemy.org/
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>> The Python SQL Toolkit and Object Relational Mapper
>>
>> http://www.sqlalchemy.org/
>>
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> The Python SQL Toolkit and Object Relational Mapper
>
> http://www.sqlalchemy.org/
>
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The Python SQL Toolkit and Object Relational Mapper
http://www.sqlalchemy.org/
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