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" <rpwil...@gmail.com> 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 <mike...@zzzcomputing.com> wrote: > On Sun, Jan 7, 2018 at 9:07 PM, Russ Wilson <rpwil...@gmail.com> 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/ > >>> > > >>> > To post example code, please provide an MCVE: Minimal, Complete, and > >>> > Verifiable Example. 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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+...@googlegroups.com. > >> To post to this group, send email to sqlal...@googlegroups.com. > >> Visit this group at https://groups.google.com/group/sqlalchemy. > >> For more options, visit https://groups.google.com/d/optout. > >> > >> > > -- > > 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. 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