Only recently started using python, and I like it! However, I am stuck with SqlAlchemy.
I am trying to write a script that reads an MS SQL database, query a table (all fields, only a filter on some fields), and write the results to a local SQLite database.
(The object is to write a data adapter: perform some queries on the SQLite database before exporting the results to another database. Writing to temporary table in the target database is also possible.)
I can make a connection and get query results - I can print them so I know that part works. But how can I create a new table based on the structure of the query results from the source SQL Server?
This works:
import sqlalchemy
esd = sqlalchemy.create_engine( 'mssql+pyodbc://username:passwordSservername/dbname' )
for row in esd.execute( 'select * from ticket_actions where log_dt > \'2012-09-01\''):
print( row.eFolderID )
This also works:
import pyodbc
cnxn = pyodbc.connect('DRIVER={SQL Server};SERVER=servername;DATABASE=dbname;UID=username;PWD=password')
cursor = cnxn.cursor()
for row in cursor.execute( 'select * from ticket_actions where log_dt > \'2012-09-01\''):
print( row.eFolderID )
Any ideas on how to create a new table with the same structure as the query has?
Thanks!