I am trying to use Python to connect to a SQL database by using Window authentication. I looked at some of the posts here (e.g., here), but the suggested methods didn't seem to work.
For example, I used the following code:
cnxn = pyodbc.connect(driver='{SQL Server Native Client 11.0}',
server='SERVERNAME',
database='DATABASENAME',
trusted_connection='yes')
But I got the following error:
Error: ('28000', "[28000] [Microsoft][SQL Server Native Client 11.0][SQL Server]
Login failed for user 'DOMAIN\\username'. (18456) (SQLDriverConnect); [28000] [Microsoft]
[SQL Server Native Client 11.0][SQL Server]Login failed for user 'DOMAIN\\username'.
(18456)")
(Note that I replaced the actual domain name and user name with DOMAIN and username respectively, in the error message above.)
I also tried using my UID and PWD, which led to the same error.
Lastly, I tried to change the service account by following the suggestion from the link above, but on my computer, there was no Log On tab when I went to the Properties of services.msc.
I wonder what I did wrong and how I can fix the problem.
Connecting from a Windows machine:
With Microsoft's ODBC drivers for SQL Server, Trusted_connection=yes tells the driver to use "Windows Authentication" and your script will attempt to log in to the SQL Server using the Windows credentials of the user running the script. UID and PWD cannot be used to supply alternative Windows credentials in the connection string, so if you need to connect as some other Windows user you will need to use Windows' RUNAS command to run the Python script as that other user..
If you want to use "SQL Server Authentication" with a specific SQL Server login specified by UID and PWD then use Trusted_connection=no.
Connecting from a non-Windows machine:
If you need to connect from a non-Windows machine and the SQL Server is configured to only use "Windows authentication" then Microsoft's ODBC drivers for SQL Server will require you to use Kerberos. Alternatively, you can use FreeTDS ODBC, specifying UID, PWD, and DOMAIN in the connection string, provided that the SQL Server instance is configured to support the older NTLM authentication protocol.
I tried everything and this is what eventually worked for me:
import pyodbc
driver= '{SQL Server Native Client 11.0}'
cnxn = pyodbc.connect(
Trusted_Connection='Yes',
Driver='{ODBC Driver 11 for SQL Server}',
Server='MyServer,1433',
Database='MyDB'
)
Try this cxn string:
cnxn = pyodbc.connect('DRIVER={SQL Server};SERVER=localhost;PORT=1433;DATABASE=testdb;UID=me;PWD=pass')
http://mkleehammer.github.io/pyodbc/
I had similar issue while connecting to the default database (MSSQLSERVER). If you are connecting to the default database, please remove the
database='DATABASENAME',
line from the connection parameters section and retry.
Cheers,
Deepak
The first option works if your credentials have been stored using the command prompt. The other option is giving the credentials (UId, Psw) in the connection.
The following worked for me:
conn = pyodbc.connect('DRIVER={SQL Server};SERVER=yourServer;DATABASE=yourDatabase;UID=yourUsername;PWD=yourPassword')
import pyodbc #For python3 MSSQL
cnxn = pyodbc.connect("Driver={SQL Server};" #For Connection
"Server=192.168.0.***;"
"PORT=1433;"
"Database=***********;"
"UID=****;"
"PWD=********;")
cursor = cnxn.cursor() #Cursor Establishment
cursor.execute('select site_id from tableName') #Execute Query
rs = cursor.fetchall()
print(rs)
A slightly different use case than the OP, but for those interested it is possible to connect to a MS SQL Server database using Windows Authentication for a different user account than the one logged in.
This can be achieved using the python jaydebeapi module with the JDBC JTDS driver. See my answer here for details.
Note that you may need to change the authentication mechanism. For example, my database is using ADP. So my connection looks like this
pyodbc.connect(
Trusted_Connection='No',
Authentication='ActiveDirectoryPassword',
UID=username,
PWD=password,
Driver=driver,
Server=server,
Database=database)
Read more here
Trusted_connection=no did not helped me. When i removed entire line and added UID, PWD parameter it worked. My takeaway from this is remove
I'm having a problem establishing a connection to the MySQL database No matter what I try or change I seem to be getting the same error. I want to be able to use python to modify MySQL database using ODBC but being new to this I'm not sure how to go about it. This is the error message:
Traceback (most recent call last):
File "C:\Users\Lutho\PycharmProjects\pyODBC\main.py", line 17, in
conx = pyodbc.connect(f'''DRIVER={driver};
pyodbc.OperationalError: ('08001', '[08001] [Microsoft][ODBC Driver 17 for SQL Server]Named Pipes Provider: Could not open a connection to SQL Server [53]. (53) (SQLDriverConnect); [08001] [Microsoft][ODBC Driver 17 for SQL Server]Login timeout expired (0); [08001] [Microsoft][ODBC Driver 17 for SQL Server]A network-related or instance-specific error has occurred while establishing a connection to SQL Server. Server is not found or not accessible. Check if instance name is correct and if SQL Server is configured to allow remote connections. For more information see SQL Server Books Online. (53)')
Code I used:
import pyodbc
# define the server and database name
driver = '{ODBC Driver 17 for SQL Server}'
server = 'Local instance MySQL80'
database = 'tarsdb'
username = 'root'
password = '1234'
# define connection string
conx = pyodbc.connect(f'''DRIVER={driver};
SERVER={server};
DATABASE={database};
Uid={username};
Pwd={password};''')
# create connection cursor
cursor = conx.cursor()
I also tried using Trusted_Connection=yes and moved my MySQL file into the same folder as my python file but nothing has worked. Is there something I'm missing that I don't know about? If you can solve my problem that would be much appreciated. (If the question looks messy, just know I had a problem formating it.)
The issue was trying to use the ODBC driver for Microsoft SQL Server when the target database was MySQL. ODBC drivers are not interchangeable between different database products.
Connecting to MySQL from Python is possible using pyodbc and "MySQL Connector/ODBC" but there are better alternatives, specifically mysqlclient or pymysql. Both are solid choices, although in many circumstances mysqlclient is significantly faster than pymysql.
I have an ongoing issue that I just can't solve. It concerns a Python script that loads data into a SQL server database.
import pyodbc
conn = pyodbc.connect(r'Driver={SQL Server};'
r'Server=tcp:MY-SRV-NAME\ABC,49133;'
r'Database=MyDatabase;'
r'Trusted_Connection=yes;')
cursor = conn.cursor()
cursor.execute('SELECT coalesce(max(NextDate),?) FROM [dbo].[TableName]',b)
When I run it from my local machine it works fine, however when I run the same script from a server I get the following error:
conn = pyodbc.connect(r'Driver={SQL Server};'
pyodbc.OperationalError: ('08001', '[08001] [Microsoft][ODBC SQL Server Driver][DBNETLIB]SSL Security error (18) (SQLDriverConnect); [08001] [Microsoft][ODBC SQL Server Driver][DBNETLIB]ConnectionOpen (SECCreateCredentials()). (1)')
This is using the same user account both locally & on the server.
Can anyone help out?
Apologies if this appears like a duplicated issue, I've read through many similar sounding issues on StackOverFlow, but none of the solutions help. I know the code is fine as it runs ok locally, but I just can't get it running from the server.
Any advice would be very much appreciated.
Thanks
I too faced it some time back and did the following , please try and let me know:
Edit /etc/ssl/openssl.cnf
add or make the following change and let me know.
MinProtocol = TLSv1.0
CipherString = DEFAULT#SECLEVEL=1
or if its a window machine it could be a driver issue kindly change the driver to any one of the following and check
driver='{SQL Server Native Client 11.0}',
or driver={ODBC Driver 17 for SQL Server};
Also note you might need to download & install the windows odbc driver as given in the below link
https://learn.microsoft.com/en-us/sql/connect/odbc/windows/system-requirements-installation-and-driver-files?view=sql-server-ver15#installing-microsoft-odbc-driver-for-sql-server
thanks!
I'm trying to set up SQL Server backend for airflow. But getting this timeout error, when I do airflow initdb:
sqlalchemy.exc.OperationalError: (pyodbc.OperationalError) ('HYT00', '[HYT00] [Microsoft][ODBC Driver 17 for SQL Server]Login timeout expired (0) (SQLDriverConnect)')
My connection string in airflow.cfg looks like:
sql_alchemy_conn = mssql+pyodbc://user:password#xx.xx.xx.xx,1433/test_db?driver=ODBC+Driver+17+for+SQL+Server
I installed odbc drivers using:
https://learn.microsoft.com/en-us/sql/connect/odbc/linux-mac/installing-the-microsoft-odbc-driver-for-sql-server?view=sql-server-ver15#microsoft-odbc-driver-13-for-sql-server
My odbcinst.ini file looks like:
[ODBC Driver 17 for SQL Server]
Description=Microsoft ODBC Driver 17 for SQL Server
Driver=/opt/microsoft/msodbcsql17/lib64/libmsodbcsql-17.5.so.2.1
UsageCount=1
I went through these posts:
Pyodbc: Login Timeout Error
pyodbc.OperationalError: ('HYT00', u'[HYT00] [unixODBC][Microsoft][ODBC Driver 13 for SQL Server]Login timeout expired (0) (SQLDriverConnect)')
"Login timeout expired" error when accessing MS SQL db via sqlalchemy and pyodbc
Remote connection to MS SQL - Error using pyodbc vs success using SQL Server Management Studio
Most of these solutions are about: using SQL Server IP instead of instance name and appending port with IP. But, I'm trying to connect that way already.
When I'm trying to connect to sql server through python venv using:
import pyodbc
server = 'xx.xx.xx.xx'
database = 'test_db'
username = 'user'
password = 'password'
port = '1433'
cnxn = pyodbc.connect('DRIVER={ODBC Driver 17 for SQL Server};SERVER='+server+';PORT='+port+';DATABASE='+database+';UID='+username+';PWD='+ password)
cursor = cnxn.cursor()
Tried above connection string without port as well. Still getting the same time out error.
Any help regarding this would be appreciated. Thanks..
I'd look to your connection string.
For a start there's a typo in the example you've given a comma before defining your PORT variable.... but it looks like there's a different shape to connection strings based on your chosen SQL Server driver. And you look like you are using pymssql format rather than pyodbc despite using the ODBC driver.
From SQLALchemy docs https://docs.sqlalchemy.org/en/13/core/engines.html#microsoft-sql-server
# pyodbc
engine = create_engine('mssql+pyodbc://scott:tiger#mydsn')
# pymssql
engine = create_engine('mssql+pymssql://scott:tiger#hostname:port/dbname')
This problem got fixed by internal request, it was a firewall issue.
I have a Windows application that utilizes pyodbc to connect to Teradata. Currently, the clients have either the 14.10 or 15.00 drivers installed to perform this connection. The connection is made using this (simplified) code:
import pyodbc
constr = 'DRIVER={Teradata};DBCNAME='+dbname+';UID='+uid+';PWD='+pwd+';QUIETMODE=YES;'
pyodbc.pooling = False
pyodbc.connect(constr, ANSI=True, autocommit=True)
After upgrading to the 16.00 driver, this no longer works. Instead it throws the following error on the same code:
pyodbc.Error: ('IM002', '[IM002] [Microsoft][ODBC Driver Manager] Data source name not found and no default driver specified (0) (SQLDriverConnect)')
I've tried a few variations of the connection string but all return the same error:
constr = """DRIVER={Teradata};DSN='+dbname+';UID='+uid+';PWD='+pwd+';QUIETMODE=YES;"""
constr = """DRIVER={Teradata};DSN='+dbname+';DATABASE='+dbname+';UID='+uid+';'+pwd+';QUIETMODE=YES;"""
constr = """Provider=Teradata;DBCNAME='+dbname+';DATABASE='+dbname+';UID='+uid+';PWD='+pwd+';QUIETMODE=YES;"""
What do I need to do to utilize 16.00 teradata drivers and pyodbc?
I had the exact same issue. This recommendation may sound silly, but my server admins changed the name of the connection string and Windows SQLDriverConnect was bombing.
On my workstation, in the DSN connection list, the DSN name is "TDPROD" and the string description is "Teradata". However, on the server, the DSN name is "TDPROD" and the string description is "Teradata Database ODBC Driver 16.10". So, I had to update my python function from this (Please note that I'm using Python 3.6 so I can use "f" strings; if you're using an earlier version of Python make sure you perform string interpolation by using supported methodologies):
pyodbc.connect(f"""DRIVER=Teradata;
DBCNAME=TDPROD;
UID={user};
PWD={password};
QUIETMODE=YES""",
autocommit=True,
unicode_results=True)
to this:
pyodbc.connect(f"""DRIVER=Teradata Database ODBC Driver 16.10;
DBCNAME=TDPROD;
UID={user};
PWD={password};
QUIETMODE=YES""",
autocommit=True,
unicode_results=True)
Hope this helps to at least give you something else to check that wasn't immediately obvious to me.