Reputation: 755
I'm trying to export a python dataframe to a SQL Server table. Is there a better way to do this? I'm getting errors. Dataframe - results_out Output SQL table - FraudCheckOutput
cnn_out = pyodbc.connect('driver={SQL Server};server=XYZ;database=BulkLog;uid=sa;pwd=test')
results_out.to_sql(con=cnn_out, name='FraudCheckOutput', if_exists='replace', flavor='sqlite_master')
Thanks.
Upvotes: 0
Views: 4963
Reputation: 635
Ok, this supposed to make the work done:
import pypyodbc
def database_insert(query, params=())
conn_params = 'driver={SQL Server};server=XYZ;database=BulkLog;uid=sa;pwd=test'
try:
conn = pypyodbc.connect(conn_params)
except pypyodbc.Error, e:
print str(e)
else:
if conn.connected:
db = conn.cursor()
db.execute(query, params).commit()
finally:
if conn:
conn.close()
SQL_INSERT_QUERY = """
INSERT INTO table_name (
[field_name1],
[field_name2]
)
VALUES (
1,
'vale string'
)
WHERE
field_name3 = ?
"""
database_insert(SQL_INSERT_QUERY, ('field_name3_value',))
in pyodbc usage is very similar
cnxn = pyodbc.connect('DRIVER={SQL Server};SERVER=localhost;DATABASE=testdb;UID=me;PWD=pass')
cursor = cnxn.cursor()
cursor.execute("insert into products(id, name) values ('pyodbc', 'awesome library')")
cnxn.commit()
more on http://code.google.com/p/pyodbc/wiki/GettingStarted
Upvotes: 1