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The rich ecosystem of Python modules lets you get to work quicker and integrate your systems more effectively. With the CData Linux/UNIX ODBC Driver for PingOne and the pyodbc module, you can easily build PingOne-connected Python applications. This article shows how to use the pyodbc built-in functions to connect to PingOne data, execute queries, and output the results.
The CData ODBC Drivers are supported in various Red Hat-based and Debian-based systems, including Ubuntu, Debian, RHEL, CentOS, and Fedora. There are also several libraries and packages that are required, many of which may be installed by default, depending on your system. For more information on the supported versions of Linux operating systems and the required libraries, please refer to the "Getting Started" section in the help documentation (installed and found online).
Before installing the driver, check that your system has a driver manager. For this article, you will use unixODBC, a free and open source ODBC driver manager that is widely supported.
For Debian-based systems like Ubuntu, you can install unixODBC with the APT package manager:
$ sudo apt-get install unixodbc unixodbc-dev
For systems based on Red Hat Linux, you can install unixODBC with yum or dnf:
$ sudo yum install unixODBC unixODBC-devel
The unixODBC driver manager reads information about drivers from an odbcinst.ini file and about data sources from an odbc.ini file. You can determine the location of the configuration files on your system by entering the following command into a terminal:
$ odbcinst -j
The output of the command will display the locations of the configuration files for ODBC data sources and registered ODBC drivers. User data sources can only be accessed by the user account whose home folder the odbc.ini is located in. System data sources can be accessed by all users. Below is an example of the output of this command:
DRIVERS............: /etc/odbcinst.ini SYSTEM DATA SOURCES: /etc/odbc.ini FILE DATA SOURCES..: /etc/ODBCDataSources USER DATA SOURCES..: /home/myuser/.odbc.ini SQLULEN Size.......: 8 SQLLEN Size........: 8 SQLSETPOSIROW Size.: 8
You can download the driver in standard package formats: the Debian .deb package format or the .rpm file format. Once you have downloaded the file, you can install the driver from the terminal.
The driver installer registers the driver with unixODBC and creates a system DSN, which can be used later in any tools or applications that support ODBC connectivity.
For Debian-based systems like Ubuntu, run the following command with sudo or as root:
$ dpkg -i /path/to/package.deb
For Red Hat systems and other systems that support .rpms, run the following command with sudo or as root:
$ rpm -i /path/to/package.rpm
Once the driver is installed, you can list the registered drivers and defined data sources using the unixODBC driver manager:
$ odbcinst -q -d CData ODBC Driver for PingOne ...
$ odbcinst -q -s CData PingOne Source ...
To use the CData ODBC Driver for PingOne with unixODBC, ensure that the driver is configured to use UTF-16. To do so, edit the INI file for the driver (cdata.odbc.pingone.ini), which can be found in the lib folder in the installation location (typically /opt/cdata/cdata-odbc-driver-for-pingone), as follows:
... [Driver] DriverManagerEncoding = UTF-16
The driver installation predefines a system DSN. You can modify the DSN by editing the system data sources file (/etc/odbc.ini) and defining the required connection properties. Additionally, you can create user-specific DSNs that will not require root access to modify in $HOME/.odbc.ini.
To connect to PingOne, configure these properties:
is the ID of the PingOne environment in which your Worker application resides. This parameter is used only when the environment is using the default PingOne domain (auth.pingone). It is configured after you have created the custom OAuth application you will use to authenticate to PingOne, as described in Creating a Custom OAuth Application in the Help documentation.
First, find the value for this property:
WorkerAppEnvironmentId='11e96fc7-aa4d-4a60-8196-9acf91424eca'
Now set to the value of the Environment ID field.
is the base URL of the PingOne authorization server for the environment where your application is located. This property is only used when you have set up a custom domain for the environment, as described in the PingOne platform API documentation. See Custom Domains.
PingOne supports both OAuth and OAuthClient authentication. In addition to performing the configuration steps described above, there are two more steps to complete to support OAuth or OAuthCliet authentication:
Set to OAuth.
Get and Refresh the OAuth Access Token
After setting the following, you are ready to connect:
When you connect, the driver opens PingOne's OAuth endpoint in your default browser. Log in and grant permissions to the application. The driver then completes the OAuth process:
The driver refreshes the access token automatically when it expires.
For other OAuth methods, including Web Applications, Headless Machines, or Client Credentials Grant, refer to the Help documentation.
[CData PingOne Source] Driver = CData ODBC Driver for PingOne Description = My Description AuthScheme = OAuth WorkerAppEnvironmentId = eebc33a8-xxxx-4f3a-yyyy-d3e5262fd49e Region = NA OAuthClientId = client_id OAuthClientSecret = client_secret InitiateOAuth = GETANDREFRESH
For specific information on using these configuration files, please refer to the help documentation (installed and found online).
You can follow the procedure below to install pyodbc and start accessing PingOne through Python objects.
You can use the pip utility to install the module:
pip install pyodbc
Be sure to import with the module with the following:
import pyodbc
You can now connect with an ODBC connection string or a DSN. Below is the syntax for a connection string:
cnxn = pyodbc.connect('DRIVER={CData ODBC Driver for PingOne};AuthScheme=OAuth;WorkerAppEnvironmentId=eebc33a8-xxxx-4f3a-yyyy-d3e5262fd49e;Region=NA;OAuthClientId=client_id;OAuthClientSecret=client_secret;InitiateOAuth=GETANDREFRESH;')
Below is the syntax for a DSN:
cnxn = pyodbc.connect('DSN=CData PingOne Sys;')
Instantiate a Cursor and use the execute method of the Cursor class to execute any SQL statement.
cursor = cnxn.cursor()
You can use fetchall, fetchone, and fetchmany to retrieve Rows returned from SELECT statements:
import pyodbc
cursor = cnxn.cursor()
cnxn = pyodbc.connect('DSN=CData PingOne Source;User=MyUser;Password=MyPassword')
cursor.execute("SELECT Id, Username FROM [CData].[Administrators].Users WHERE EmployeeType = 'Contractor'")
rows = cursor.fetchall()
for row in rows:
print(row.Id, row.Username)
You can provide parameterized queries in a sequence or in the argument list:
cursor.execute( "SELECT Id, Username FROM [CData].[Administrators].Users WHERE EmployeeType = ?", 'Contractor',1)
You can use the getinfo method to retrieve data such as information about the data source and the capabilities of the driver. The getinfo method passes through input to the ODBC SQLGetInfo method.
cnxn.getinfo(pyodbc.SQL_DATA_SOURCE_NAME)
You are now ready to build Python apps in Linux/UNIX environments with connectivity to PingOne data, using the CData ODBC Driver for PingOne.
Download a free trial of the PingOne ODBC Driver to get started:
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👁 PingOne IconThe PingOne ODBC Driver is a powerful tool that allows you to connect with live data from PingOne, directly from any applications that support ODBC connectivity.
Access PingOne data like you would a database - read, write, and update PingOne 0, etc. through a standard ODBC Driver interface.