"No driver name specified" writing pandas data frame into SQL Server table
Solution 1
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.
Solution 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
Solution 3
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'
Solution 4
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)
Comments
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user1700890 almost 2 years
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; "
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user1700890 over 7 yearsSo there is no way of dumping dataframe into SQL Server's table?
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MaxU - stop genocide of UA over 7 yearsCan you provide your versions: MS SQL Server version, Pandas version, SQLAlchemy version?
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denfromufa over 7 years@user1700890 see my suggestion in answer below, let me know if it works
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Gord Thompson over 7 yearsTry
df.to_sql('Test', engine.connect(), if_exists='append', index=False)
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denfromufa over 7 years@GordThompson since pandas 0.14 this is not correct thing to do: stackoverflow.com/a/26766205/2230844
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user1700890 over 7 years@MaxU Sorry for delay. I posted some details
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MaxU - stop genocide of UA over 7 years@user1700890, please see cco's answer - i think it answers your question completely
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user1700890 over 7 yearsMy 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; "
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denfromufa over 7 yearsAccording to this answer and sqlalchemy docs the driver is required ONLY when custom: stackoverflow.com/a/25662997/2230844
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cco over 7 yearsDriver is required if you're not using a DSN - see the last error message in the question.
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user1700890 over 7 years@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?
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cco over 7 yearsChanging
localhost
in the string touser: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'. -
user1700890 over 7 years@cco, thank you again! By dictionary I mean something like this:
cnxn = connect(driver='{SQL Server}', server='localhost', database='test', uid='me', pwd='me2')
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user1718097 about 4 yearsWhen 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 includedriver=SQL+Server
and everything worked.