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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 NetSuite and the pyodbc module, you can easily build NetSuite-connected Python applications. This article shows how to use the pyodbc built-in functions to connect to NetSuite 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).
CData provides the easiest way to access and integrate live data from Oracle NetSuite. Customers use CData connectivity to:
Customers use CData solutions to access live NetSuite data from their preferred analytics tools, Power BI and Excel. They also use CData's solutions to integrate their NetSuite data into comprehensive databases and data warehouse using CData Sync directly or leveraging CData's compatibility with other applications like Azure Data Factory. CData also helps Oracle NetSuite customers easily write apps that can pull data from and push data to NetSuite, allowing organizations to integrate data from other sources with NetSuite.
For more information about our Oracle NetSuite solutions, read our blog: Drivers in Focus Part 2: Replicating and Consolidating ... NetSuite Accounting Data.
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 NetSuite ...
$ odbcinst -q -s CData NetSuite Source ...
To use the CData ODBC Driver for NetSuite with unixODBC, ensure that the driver is configured to use UTF-16. To do so, edit the INI file for the driver (cdata.odbc.netsuite.ini), which can be found in the lib folder in the installation location (typically /opt/cdata/cdata-odbc-driver-for-netsuite), 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.
The User and Password properties, under the Authentication section, must be set to valid NetSuite user credentials. In addition, the AccountId must be set to the ID of a company account that can be used by the specified User. The RoleId can be optionally specified to log in the user with limited permissions.
See the "Getting Started" chapter of the help documentation for more information on connecting to NetSuite.
[CData NetSuite Source] Driver = CData ODBC Driver for NetSuite Description = My Description Account Id = XABC123456 Password = password User = user Role Id = 3 Version = 2013_1
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 NetSuite 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 NetSuite};Account Id=XABC123456;Password=password;User=user;Role Id=3;Version=2013_1;')
Below is the syntax for a DSN:
cnxn = pyodbc.connect('DSN=CData NetSuite 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 NetSuite Source;User=MyUser;Password=MyPassword')
cursor.execute("SELECT CustomerName, SalesOrderTotal FROM SalesOrder WHERE Class_Name = 'Furniture : Office'")
rows = cursor.fetchall()
for row in rows:
print(row.CustomerName, row.SalesOrderTotal)
You can provide parameterized queries in a sequence or in the argument list:
cursor.execute( "SELECT CustomerName, SalesOrderTotal FROM SalesOrder WHERE Class_Name = ?", 'Furniture : Office',1)
INSERT commands also use the execute method; however, you must subsequently call the commit method after an insert or you will lose your changes:
cursor.execute("INSERT INTO SalesOrder (Class_Name) VALUES ('Furniture : Office')")
cnxn.commit()
As with an insert, you must also call commit after calling execute for an update or delete:
cursor.execute("UPDATE SalesOrder SET Class_Name = 'Furniture : Office'")
cnxn.commit()
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 NetSuite data, using the CData ODBC Driver for NetSuite.
Download a free trial of the NetSuite ODBC Driver to get started:
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👁 NetSuite IconThe NetSuite ODBC Driver is a powerful tool that allows you to connect with live NetSuite data, directly from any applications that support ODBC connectivity.
Access NetSuite like you would a database - read, write, and update Leads, Contacts, Opportunities, Accounts, etc. through a standard ODBC Driver interface.