Any solution for this? On Monday, September 11, 2017 at 6:34:47 PM UTC-4, dirk.biesinger wrote: > > I am encountering errors when trying to use the pd.to_sql function to > write a dataframe to MS SQL Data Warehouse. > The connection works when NOT using sqlalchemy engines. > I can read dataframes as well as row-by-row via select statements when I > use pyodbc connections > I can write data via insert statements (as well as delete data) when using > pyodbc. > However, when I try to connect using a sqlalchemy engine I run into a > string of error messages starting with: > > ProgrammingError: (pyodbc.ProgrammingError) ('42000', "[42000] > [Microsoft][ODBC Driver 13 for SQL Server][SQL Server]Catalog view > 'dm_exec_sessions' is not supported in this version. (104385) > (SQLExecDirectW)") > > > I have searched online, and this exact error seems to have been reported / > evaluated in May of this year as issue #3994: > > > https://bitbucket.org/zzzeek/sqlalchemy/issues/3994/azure-sql-datawarehouse-basic > > > I could not find a solution to this, and I'd really dislike to do a line-wise > or blob insert statement (I'm working with multiple datasets that each has a > few million rows, so execution time is a consideration, although the result > sets I'm getting are more like in the 100k lines area each.) > > > I get the same error messages even when I replace the pd.to_sql command with > a simple engine.connect() > > > Enclosed my installed packages (packages.list) > > Enclosed the full traceback (traceback.txt) > > > This is the code I'm using: > > connection_string = > "mssql+pyodbc://<username>:<password>@<sqlhost>.database.windows.net:<port>/<database>?driver=ODBC+Driver+13+for+SQL+Server" > engn = sqlalchemy.engine.create_engine(connection_string, echo=True) > engn.connect() > > > I'm very well aware that MS SQL DataWarehouse behaves a bit different, so > I'm open for some experimenting to get this issue narrowed down. > > In case it matters: I'm running an ubuntu 16.04 VM on azure with jupyter > notebook server and python 3.6.1. > > Best, > > DB >
-- *Confidentiality Note:* This email may contain confidential and/or private information. If you received this email in error please delete and notify sender. -- 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.