Develop Reference

Pyodbc - Login Failed for user - Confirmed user information is correct and working

I am connecting to an SQL server. This application was working last week. The server lost power over the weekend and shutdown. I came in this morning and turned everything on, and now I cannot connect to the SQL server.
When I open SQL Server management configuration and use the username and login specified in my connection string it allows me to connect and access the database without issue. But doing it through python/pyodbc (again, without changing any code that was working last week) I get the following error.
pyodbc.InterfaceError: ('28000', "[28000] [Microsoft][ODBC Driver 17 for SQL Server][SQL Server]Login failed for user 'Warehouse'. (18456) (SQLDriverConnect); [28000] [Microsoft][ODBC Driver 17 for SQL Server]Invalid connection string attribute (0); [28000] [Microsoft][ODBC Driver 17 for SQL Server][SQL Server]Login failed for user 'Warehouse'. (18456); [28000] [Microsoft][ODBC Driver 17 for SQL Server]Invalid connection string attribute (0)")
The connection string I am using is:
conn = pyodbc.connect(f'Driver={driver_name}; '
'Server=192.168.1.x\SERVER-NAME\SQLEXPRESS,1433;'
'Database=Warehouse;'
'Integrated Security=False;'
'Trusted_Connection=no;'
'UID=Warehouse;'
'PWD=passwordhere;'
'pool_pre_ping=True;'
'pool_recycle=3600;',
timeout=1
)
I have restarted the VM the SQL server is hosted on and it did not resolve it. Any help is appreciated.
edit:
I have my python application set to re-attempt to connect to the SQL server every ~5 minutes, so that if the connection ever times out (which is does after a while) it will re-initiate the connection. Could the warehouse user be blocked somehow over the network after too many failed login attempts to the server while it was offline?

Looking through the SQL Server Configuration Manager, the TCP Port was reset to something in the 4x,xxx range. I set it to 1433 like it was before and everything works now.

pyodbc.drivers() returns the list of drivers but my python script isn't running with any ODBC driver listed

Ran print(pyodbc.drivers()) and it printed the list of available drivers... running a SQL container in docker I'm trying to manipulate the database from a python script
connector = pyodbc.connect('Driver={ODBC Driver 18 for SQL Server};' 'Server=cbbcb967dacb;' 'Database=testdb;' 'UID=sa;' 'PWD=Working#2022' 'Trusted_Connection=yes;')
connector.execute()
cursor = connector.cursor()
cursor.execute('SELECT * FROM inventory')
for i in cursor:
print(i)
The error I get is:
pyodbc.OperationalError: ('08001', '[08001] [Microsoft][ODBC Driver 18 for SQL Server]Named Pipes Provider: Could not open a connection to SQL Server [53]. (53) (SQLDriverConnect); [08001] [Microsoft][ODBC Driver 18 for SQL Server]Login timeout expired (0); [08001] [Microsoft][ODBC Driver 18 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)')
But the ODBC Driver is installed

The exception suggests a network error, cbbcb967dacb looks like the hostname of the container, you might want to try its IP address directly or localhost if you ran SQL Server in docker as per the documentation.
Are you able to telnet cbbcb967dacb 1433 ?
Based on the discussion in the comments, if your docker container is running and was started as per the MSSQL tutorial, the following connection string should work:
"DRIVER={ODBC Driver 18 for SQL Server};SERVER=localhost;UID=SA;PWD={Working#2022};DATABASE=testdb;"

pyodbc connection failing in sqlalchemy but working through direct pyodbc connection

Why does this workc(I get a result set back):
sql_server = 'myserver.database.windows.net'
sql_database = 'pv'
sql_username = 'sqladmin'
sql_password = 'password1'
sql_driver= '{ODBC Driver 17 for SQL Server}'
with pyodbc.connect('DRIVER='+sql_driver+';SERVER=tcp:'+sql_server+';DATABASE='+sql_database+';UID='+sql_username+';PWD='+ sql_password) as conn:
with conn.cursor() as cursor:
cursor.execute("SELECT TOP 3 SAPPHIRE_CASE_ID FROM PV_ALL_SUBMISSIONS_SL")
row = cursor.fetchone()
while row:
print (str(row[0]))
row = cursor.fetchone()
But this fails:
import pyodbc
sql_engine = sqlalchemy.create_engine(f'mssql+pyodbc://{sql_username}:{sql_password}#{sql_server}/{sql_database}?driver=ODBC+Driver+17+for+SQL+Server')
df.to_sql('PV_ALL_CLOSED_CASES_SL', con=sql_engine, if_exists='append')
Error is:
OperationalError: (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)') (Background on this error at:
https://sqlalche.me/e/14/e3q8)
While I know one is doing a read and the other a write, my issue seems to be just establishing a connection one way vs another, when using the same connection details. It isn't an Azure firewall issue as I am able to connect and run a select statment via the first method, but when using create_engine() of sqlalchemy, it fails to make the connection - but I am pretty sure the connection string is correct.
It is the same variables for server, user name and password being used in both connections.
I think the issue is that the real password as an "#" symbol in it, and so this interferes with the latter connection string.

Thanks to #Larnu, this worked:
from sqlalchemy.engine import URL
connection_string = f"DRIVER={sql_driver};SERVER={sql_server};DATABASE={sql_database};UID={sql_username};PWD={sql_password}"
connection_url = URL.create("mssql+pyodbc", query={"odbc_connect": connection_string})
sql_engine = sqlalchemy.create_engine(connection_url)
I dont have to url encode when I use a cx_Oracle connection, but hey it works now.

Unable to set up SQL Server backend using pyodbc for airflow on a Centos 7 server

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.

pyodbc- connection failure to SQL Server

I have been trying to connect to Microsoft SQL Server. I have an ODBC connection set up and the test is successful. I am not using Windows Authentication to connect to SQL Server but it keep getting this error:
Cannot be used with Windows authentication
InterfaceError: ('28000', '[28000] [Microsoft][ODBC SQL Server Driver][SQL Server]Login failed. The login is from an untrusted domain and cannot be used with Windows authentication. (18452) (SQLDriverConnect); [28000] [Microsoft][ODBC SQL Server Driver]Invalid connection string attribute (0); [28000] [Microsoft][ODBC SQL Server Driver][SQL Server]Login failed. The login is from an untrusted domain and cannot be used with Windows authentication. (18452); [28000] [Microsoft][ODBC SQL Server Driver]Invalid connection string attribute (0)')
Here is my code:
import pyodbc
cnxn = pyodbc.connect(Driver='{SQL Server}',
Server='servername.abc.xyz.co.com',
username = 'user_xyz',
password = 'abcdfgh')
I am using Windows 7. Please help me debug this problem
Thanks

I was able to solve this by defining the dsn connection as below:
dsn="DRIVER={SQL
SERVER};server=ip_address_here;database=db_name_here;uid=user;pwd=password"
This worked and I was able to connect and query the sql server.

This is how I do it and it works:
import pyodbc
server_name = "server_name"
db_name = "db_name"
server = "Server="+str(server_name)
db = "Database="+str(db_name)
key = "Driver={SQL Server Native Client 11.0};"+server+";"+db+";"+"Trusted_Connection=yes;"
cnxn = pyodbc.connect(key)