I am trying to write a Pandas' DataFrame into an SQL Server table. Here is my example:
import pyodbc
import pandas as pd
import sqlalchemy
df = pd.DataFrame({'MDN': [242342342] })
engine = sqlalchemy.create_engine('mssql://localhost/Sandbox?trusted_connection=yes')
df.to_sql('Test',engine, if_exists = 'append',index = False)
I am getting the following error message. Any thoughts on how to fix?
c:\python34\lib\site-packages\sqlalchemy\connectors\pyodbc.py:82: SAWarning: No driver name specified; this is expected by PyODBC when using DSN-less connections
"No driver name specified; "
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-25-78677a18ce2d> in <module>()
4 engine = sqlalchemy.create_engine('mssql://localhost/Sandbox?trusted_connection=yes')
5
----> 6 df.to_sql('Test',engine, if_exists = 'append',index = False)
7
8 #cnxn.close()
c:\python34\lib\site-packages\pandas\core\generic.py in to_sql(self, name, con, flavor, schema, if_exists, index, index_label, chunksize, dtype)
980 self, name, con, flavor=flavor, schema=schema, if_exists=if_exists,
981 index=index, index_label=index_label, chunksize=chunksize,
--> 982 dtype=dtype)
983
984 def to_pickle(self, path):
c:\python34\lib\site-packages\pandas\io\sql.py in to_sql(frame, name, con, flavor, schema, if_exists, index, index_label, chunksize, dtype)
547 pandas_sql.to_sql(frame, name, if_exists=if_exists, index=index,
548 index_label=index_label, schema=schema,
--> 549 chunksize=chunksize, dtype=dtype)
550
551
c:\python34\lib\site-packages\pandas\io\sql.py in to_sql(self, frame, name, if_exists, index, index_label, schema, chunksize, dtype)
1564 if_exists=if_exists, index_label=index_label,
1565 dtype=dtype)
-> 1566 table.create()
1567 table.insert(chunksize)
1568
c:\python34\lib\site-packages\pandas\io\sql.py in create(self)
646
647 def create(self):
--> 648 if self.exists():
649 if self.if_exists == 'fail':
650 raise ValueError("Table '%s' already exists." % self.name)
c:\python34\lib\site-packages\pandas\io\sql.py in exists(self)
634
635 def exists(self):
--> 636 return self.pd_sql.has_table(self.name, self.schema)
637
638 def sql_schema(self):
c:\python34\lib\site-packages\pandas\io\sql.py in has_table(self, name, schema)
1577 query = flavor_map.get(self.flavor)
1578
-> 1579 return len(self.execute(query, [name,]).fetchall()) > 0
1580
1581 def get_table(self, table_name, schema=None):
c:\python34\lib\site-packages\pandas\io\sql.py in execute(self, *args, **kwargs)
1465 cur = self.con
1466 else:
-> 1467 cur = self.con.cursor()
1468 try:
1469 if kwargs:
AttributeError: 'Engine' object has no attribute 'cursor'
Also, is there ways to write connection string for create_engine
differently? I would love to write it in form of a dictionary rather than a string.
Update : Here is my new environment:
MS SQL Server: Microsoft SQL Server 2012 - 11.0.2100.60 (X64) Feb 10 2012 19:39:15 Copyright (c) Microsoft Corporation Standard Edition (64-bit) on Windows NT 6.2 (Build 9200: )
Python: 3.4.3 (v3.4.3:9b73f1c3e601, Feb 24 2015, 22:43:06) [MSC v.1600 32 bit (Intel)]
Pandas version: '0.16.2'
sqlalchemy version: 1.1.3
Jupyter server version: 4.2.3
Now the line
engine = sqlalchemy.create_engine('mssql+pyodbc://localhost/Sandbox?trusted_connection=yes')
generates the following error:
c:\python34\lib\site-packages\sqlalchemy\connectors\pyodbc.py:82: SAWarning: No driver name specified; this is expected by PyODBC when using DSN-less connections
"No driver name specified; "
You need to specify both that you want to use ODBC and what ODBC driver to use.
engine = sqlalchemy.create_engine('mssql+pyodbc://localhost/Sandbox?driver=SQL+Server+Native+Client+11.0')
Trusted connections are the default, so you don't need to specify that, although it shouldn't hurt to do so.
The likely problem is that you have not specified the driver, so try:
engine = sqlalchemy.create_engine('mssql+pyodbc://localhost/Sandbox?trusted_connection=yes')
This is based on the warning message that you got on the top:
c:\python34\lib\site-packages\sqlalchemy\connectors\pyodbc.py:82: SAWarning: No driver name specified; this is expected by PyODBC when using DSN-less connections
"No driver name specified; "
Note that you can also use pymssql instead of pyodbc, but MS recommends the latter.
EDIT
Here is official documentation on how to connect with/without DSN (data source name):
https://github.com/mkleehammer/pyodbc/blob/master/docs/index.md#connect-to-a-database
I know the question has been answered for some time now and it's just a warning, but if you have transferred everything correctly and this error still occurs it's annoying.
For all those who had to struggle with it like I did, you can also enter the driver directly in the script, Pyodbc.py offers the possibility for this (row 26 - 28):
# for non-DSN connections, this *may* be used to
# hold the desired driver name
pyodbc_driver_name = 'ODBC Driver 17 for SQL Server'
Above information was much useful. Commenting below version of mine as consolidated which can help freshers during search.
#using library pandas and pyodbc - if not available please use pip install commands to install library based on version. Python version used here is 3.7.8
import pandas as pd
from sqlalchemy import create_engine
import pyodbc
#This query will work for sql authentication
def mssql_engine():
engine = create_engine('mssql+pyodbc://type_username:type_password@type_servername_or_localhostname/type_database_name?driver=SQL+Server+Native+Client+11.0')
return engine
#This query will for windows authentication
#Note: Uncomment below code for windows authentication
#def mssql_engine():
#engine = create_engine('mssql+pyodbc://localhostname/db_name?driver=SQL+Server+Native+Client+11.0')
#return engine
query = 'select * from table_name'
#using pandas to read from sql and passing connection string as function
df = pd.read_sql(query, mssql_engine() )
#printing result
print(df)
I ran into a similar problem with SQLModel with an error message like:
SAWarning: No driver name specified; this is expected by PyODBC when using DSN-less connections return _create_engine(url, **current_kwargs) # type: ignore
Using @cco 's response solved the issue:
CONNECTION_URL = f"mssql+pyodbc://{SQL_SERVER_USERNAME}:{SQL_SERVER_PASSWORD}" \
f"@{SQL_SERVER_NAME}/{SQL_SERVER_DATABASE}?driver=SQL%20Server"
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