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'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 am trying to connect to SQL Server 2008 R2 using pyodbc.
This is my code snippet:
conn_strng = ['Driver={SQL Server Native Client
11},'Database=db_name','uid=user','pwd=password','trusted_source=yes']
cnxn = pyodbc.connect(';'.join(conn_strng))
I get the following error:
('IM002', '[IM002] [Microsoft] [ODBC Driver Manager] Data Source name not found or no default driver specified (0) (SQLDriverConnect)')
I have installed the SQL Server ODBC Driver 11. I am using Windows Sever 2012. I have searched in Stackoverflow and tried by changing the Driver string and other string formatting (i.e. no space etc.) but no luck.
Do I need to specify port as well?
Please help.
Ok. So I have found out a solution. Below is the correct connection string
Driver={SQL Server} #<--Note that it is different than earlier
Database=db_name
uid=user
pwd=password
trusted_source=no #<--if we set this 'yes' then it will try to connect the DB with windows login. This was causing error
I think it is better to use Driver={SQL Server} for a safer side.
I'm new to Python + Flask + Flask Appbuilder but I am a professional Java developer. I've been working on a small app that I initially used SqlLite and now I want to move into SQL Server, which will be the production database.
I can't seem to get the connection right.
I have tried using a DSN but I get an error message indicating there is a mismatch between the driver and something else (Python?). The searches on this error seem to indicate the driver is 32 bit and Python is 64. Still I can't get that working so I thought I'd try to connect directly. I'd prefer not using a DSN anyway. I've searched the web and can't find an example that works for me.
I have imported pyodbc. This is the current way I'm trying to connect:
params = urllib.quote_plus("DRIVER={SQL Server};SERVER=devsql07:1433;DATABASE=DevOpsSnippets;UID=<user>;PWD=<password>")
SQLALCHEMY_DATABASE_URI = "mssql+pyodbc:///?odbc_connect=%s" % params
This produces the following error message:
2016-02-17 07:11:38,115:ERROR:flask_appbuilder.security.sqla.manager:DB Creation and initialization failed: (pyodbc.Error) ('08001', '[08001] [Microsoft][ODBC SQL Server Driver][DBNETLIB]Invalid connection. (14) (SQLDriverConnect); [01000] [Microsoft][ODBC SQL Server Driver][DBNETLIB]ConnectionOpen (ParseConnectParams()). (14)')
Can anyone help me get this connection correct?
I really appreciate any help.
if you are using pyodbc you should be able to connect this way
import pyodbc
cnxn = pyodbc.connect('DRIVER={SQL Server};SERVER=yourServer;DATABASE=yourDatabase;UID=;PWD=')
#putting to use
SQL = "select Field1, Field2 from someTable"
cursor = cnxn.cursor()
cursor.execute(SQL)
row = cursor.fetchall()
for r in row:
print r[0] #field1
print r[1] #field2
The port should be specified through a comma. Specify the connection string as
DRIVER={SQL Server};SERVER=devsql07,1433;DATABASE.....