"No driver name specified" writing pandas data frame into SQL Server table

Question

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; "

So there is no way of dumping dataframe into SQL Server's table? — user1700890
– user1700890, Commented Nov 3, 2016 at 16:17
Can you provide your versions: MS SQL Server version, Pandas version, SQLAlchemy version? — MaxU - stand with Ukraine
– MaxU - stand with Ukraine, Commented Feb 3, 2017 at 13:36
Try df.to_sql('Test', engine.connect(), if_exists='append', index=False) — Gord Thompson
– Gord Thompson, Commented Feb 6, 2017 at 18:29
@GordThompson since pandas 0.14 this is not correct thing to do: stackoverflow.com/a/26766205/2230844 — den.run.ai
– den.run.ai, Commented Feb 7, 2017 at 0:19
@user1700890, please see cco's answer - i think it answers your question completely — MaxU - stand with Ukraine
– MaxU - stand with Ukraine, Commented Feb 7, 2017 at 21:53

cco · Accepted Answer · 2022-02-19 00:22:35Z

35

+50

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.

Update:
2022-02-18: The latest ODBC driver for SQL Server seems to be "ODBC Driver 17 for SQL Server". The driver named "SQL Server" is old and should not be used.
@user1718097 gives the useful suggestion of using [x for x in pyodbc.drivers()] to list the installed drivers. You can also list the installed drivers with the Get-OdbcDriver cmdlet in powershell.

edited Feb 19, 2022 at 0:22

answered Feb 7, 2017 at 3:10

cco

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7 Comments

den.run.ai Over a year ago

According to this answer and sqlalchemy docs the driver is required ONLY when custom: stackoverflow.com/a/25662997/2230844

cco Over a year ago

Driver is required if you're not using a DSN - see the last error message in the question.

user1700890 Over a year ago

@cco Thank you very much for the answer! Is it possible to write it in dictinary format. Also in case I need to provide login and password, how can I do it?

cco Over a year ago

Changing localhost in the string to user:password@localhost should do the right thing. If that doesn't work, appending ;User Id=myUsername; Password=myPassword; should do the trick. I'm not sure what you mean by 'dictionary format'.

user1718097 Over a year ago

When I tried this, I wasn't sure which OBDC drivers I had installed on my computer. After importing pyodbc, I ran [x for x in pyodbc.drivers()] to get a list of installed drivers. In my case, only ['SQL Server'] so I was able to include driver=SQL+Server and everything worked.

|

den.run.ai · Accepted Answer · 2017-02-08 04:27:55Z

2

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

edited Feb 8, 2017 at 4:27

answered Feb 6, 2017 at 4:27

den.run.ai

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1 Comment

user1700890 Over a year ago

My enviroment slightly changed, but the original code and your suggestion, I am getting the same 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; "

hidebyte · Accepted Answer · 2020-09-04 07:52:37Z

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'

Deepti RamDas · Accepted Answer · 2021-02-02 15:27:09Z

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)

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