I can use pymssql to connect to SQLServer using Windows Authentication:
conn = pymssql.connect(host='..', database='..', trusted=True)
But how could I use SQLAlchemy to connect to SQLServer using Windows Authenticaton with pymssql driver?
The example given by SQLAlchemy is:
mssql+pymssql://<username>:<password>#<freetds_name>
Since I use Windows Authentication, I cannot manually set the username and password.
I do not have pymssql to check, but try the version below:
mssql+pymssql://<freetds_name>?trusted=True
Related
Is there a way to use the oracle python driver package cx_Oracle and specify Kerberos authentication?
I've seen this done using oracle jdbc drivers, but not with cx_Oracle specifically. Below is my current connection code:
dsn = cx_Oracle.makedsn(host="some host", port="some port", service_name="some service")
con = cx_Oracle.connect("user", "password", dsn, threaded=True)
Maybe these will help:
Similar setup?
Connect to Database using oracle client and kerberos with Python
CX-Oracle or Python OracleDB with External Auth:
https://github.com/oracle/python-cx_Oracle/issues/61#issuecomment-320121457
Can you please let me know how to connect to DB2 on IBM Cloud using python?
I have tried the below steps.
installed ibm_db using pip install ibm_db
Created a free tier Db2 service on IBM cloud
Generated Service credentials key
Trying to establish a connection with the database with the credential details (Database, host, port, user id, and password) extracted from the Service credentials key
import ibm_db
print("Creating connection.......")
conn_string = "DATABASE=bludb;HOSTNAME=54a2f15b-5c0f-46df-8954-7e38e612c2bd.c1ogj3sd0tgtu0lqde00.databases.appdomain.cloud;PORT=32733;PROTOCOL=TCPIP;UID=<userId>;PWD=<password>;"
conn = ibm_db.connect(conn_string,"","")
if conn:
print("Connection ...... [SUCCESS]")
else:
print("Connection ...... [FAILURE]")
I am getting below error message:
SQLCODE=-30082n: [IBM][CLI Driver] SQL30082N Security processing failed with reason "17" ("UNSUPPORTED FUNCTION"). SQLSTATE=08001
It seems like you are on the new Db2 on Cloud lite plan with non-standard ports and SSL enforced. When you connect to Db2 using the Python driver and use SSL, you have to add the SECURITY=SSL property, e.g.:
conn_string = "DATABASE=bludb;HOSTNAME=yourhostname;PORT=<port>;PROTOCOL=TCPIP;UID=<userId>;PWD=<password>;SECURITY=SSL"
I think the easy way to do this is with SQL Magic. This way, you can just type a SQL statement just by adding %sql before your query
First install the packages
!pip install sqlalchemy==1.3.9
!pip install ibm_db_sa
Then,
%load_ext sql
Finally, run the following code by replacing your username, password, hostname and SSL. You can find these in your IBM DB2 under credentials.
%sql ibm_db_sa://my-username:my-password#hostname:port/BLUDB?security=SSL
Now you can run any SQL by using %sql before or %%sql if the whole cell is going to be SQL. Example:
%sql SELECT * FROM TABLENAME;
or
%%sql
SELECT *
FROM TABLENAME;
There's a python package called ibm_db, does this link or (cited in the first one) this one help?
I'm trying to connect to a MS access database using the following code:
from PyQt5.QtSql import QSqlDatabase
db = QSqlDatabase.addDatabase("QODBC")
db.setDatabaseName(
"DRIVER={Microsoft Access Driver (*.mdb, *.accdb)};DBQ=D:\\database.accdb")
if db.open(): print("opened")
I have office 2019 installed.
I cannot figure out what is wrong in the connection string or the driver.
I figured out that this problem happened because I have a 64-bit of python and a 32-bit of access database engine driver.
After installing the 64-bit access database engine driver, I managed to get it work.
How can I connect to my db2 database with sqlalchemy when the authentication is using kerberos?
When using pyodbc the connection string contains AuthenticationMethod=4, which lets kerberos handle the authentication and I don't need to provide username and password.
Is there a way to either pass a pyodbc.connect object directly into sqlalchemy or can I alternatively tell sqlalchemy to use kerberos?
My odbc connection string looks like this:
connstr = 'ApplicationUsingThreads=0;' \
...: 'FloatingPointParameters=0;' \
...: 'DoubleToStringPrecision=16;DB=NYRMPDI1;' \
...: 'AuthenticationMethod=4;' \
...: f'IpAddress={ip_address};' \
...: f'TcpPort={port};' \
...: f'DRIVER={driver_location}'
I can't find any way to pass this into sqlalchemy create_engine.
ibm_db_sa with an IBM Db2 driver supports kerberos connections with pyodbc, both DSN-LESS and DSN connection-strings, and it works with all three types of IBM Db2-driver (fat client, run-time-client, and ODBC and CLI driver). Different configurations are necessary for the fat-client+runtime-client, versus the ODBC and CLI client.
By default, unless you tell it otherwise, the installation of ibm_db_sa or ibm_db modules will install the IBM 'ODBC and CLI client'.
Your odbcinst.ini needs to define a driver-name (in my example I call it DB2CLI but you give it any name you prefer), and specify the library to load (example libdb2.so) from the correct path.
Here is an example of a DSN-LESS connection string, which you must urlencode before passing to create_engine():
CONNECTION_STRING=("DRIVER={DB2CLI};HOSTNAME=192.168.1.178;PORT=60000;KRBPLUGIN=IBMkrb5;AUTHENTICATION=KERBEROS;DATABASE=SAMPLE;")
quoted_connection_string=urllib.parse.quote_plus(CONNECTION_STRING)
engine = create_engine('ibm_db_sa+pyodbc:///?odbc_connect={}'.format(quoted_connection_string))
If you prefer a DSN connection, you must define all the details in the db2dsdriver.cfg and have a stanza for the dsn in the active odbc.ini that references the driver you configured in your odbcinst.ini, and you must specify only the DSN in the connection-string like this:
CONNECTION_STRING=("DSN=SAMPLE;")
engine = create_engine('ibm_db_sa+pyodbc:///?odbc_connect={}'.format(CONNECTION_STRING))
For DSN connections, it helps if you first get the kerberos connection working with isql defore you get it working with sqlalchemy because the troubleshooting seems easier.
I tested with these component versions:
ubuntu 16.04 LTS x64
python 3.6.8 in a virtualenv
ibm_db 3.0.1
ibm_db_sa 0.3.5
unixODBC 2.3.4
pyodbc 4.0.30
IBM Db2 data server driver 11.1.4.4a (optional)
IBM Db2 ODBC and CLI driver (default)
local and remote Db2-LUW servers whose Db2-instances are kerberized already.
Steps to try:
For DSN connections, configure your active db2dsdriver.cfg with dsn and database with parameter Authentication, parameter value Kerberos.
For the fat-client and runtime-client, configure your IBM Data Server Client CLNT_KRB_PLUGIN parameter to IBMkrb5 via db2 update dbm cfg using CLNT_KRB_PLUGIN IBMkrb5. (You don't need this step when using the ODBC and CLI driver).
Configure your active odbcinst.ini for Db2 to use the correct libdb2.so library as supplied by your Db2 client, and reference this driver-name either in your DSN-LESS python code, or in your odbc.ini for DSN-connections.
For DSN connections only, configure your active odbc.ini to use the Db2 driver specified in odbcinst.ini and mention Authentication = kerberos in your DSN stanza in odbc.ini.
For DSN connections, Omit any userid/password from the active odbc.ini file. For DSN-LESS connectiond you don't need any reference to the database in the odbc.ini or db2dsdriver.cfg.
For DSN connections only, Verify db2cli validate -dsn $YOURDSN -connect for a remote database completes successfully without a userid or password. This proves that the CLI layer is using kerberos.
(Optional) For Db2 fat client, or runtime client, verify you can connect to a catalogued remote database at the shell command line db2 connect to $YOUR_REMOTE_DATABASE (without needing to enter a userid/password). This proves that regular shell scripts can connect to the database with kerberos authentication.
If you are using either the Db2 fat client, or the Db2 runtime client then you need to dot in / source the correct db2profile before running either isql or your python script.
I am trying to build an application in python which will use Oracle Database installed in corporate server and the application which I am developing can be used in any local machine.
Is it possible to connect to oracle DB in Python without installing the oracle client in the local machine where the python application will be stored and executed?
Like in Java, we can use the jdbc thin driver to acheive the same, how it can be achieved in Python.
Any help is appreciated
Installing oracle client, connect is possible through cx_Oracle module.
But in systems where the client is not installed, how can we connect to the DB.
You can use JDBC
"""
Connect from Python to Oracle via JDBC
Get JDBC-driver here: https://download.oracle.com/otn/utilities_drivers/jdbc/193/ojdbc8-full.tar.gz
Python 3.7.4
conda install -c conda-forge jaydebeapi==1.1.1 --force-reinstall -y
conda install -c conda-forge JPype1==0.6.3 --force-reinstall -y
"""
import jpype
import jaydebeapi
JHOME = jpype.getDefaultJVMPath()
jpype.startJVM(JHOME, '-Djava.class.path=/ojdbc8-full/ojdbc8.jar')
con = jaydebeapi.connect('oracle.jdbc.driver.OracleDriver',
'jdbc:oracle:thin:user/pass#host_ip:1521:SID')
cur = con.cursor()
cur.execute('select dummy from dual')
r = cur.fetchall()
print(r[0][0])
cur.close()
con.close()
It is not correct that java can connect to oracle without any oracle provided software.
It needs a compatible version of ojdbc*.jar to connect. Similarly python's cx_oracle library needs oracle instant-client software from oracle to be installed.
Instant client is free software and has a small footprint.
Installing Oracle client is a huge pain. Could you instead create a Webservice to a system that does have OCI and then connect to it that way? This might end being a better solution rather than direct access.