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Get the Report →Write a Simple Go Application to work with Salesforce Data Cloud Data on Linux
Use CData ODBC drivers and unixODBC to create a simple Go app with live connectivity to Salesforce Data Cloud data.
Go is an open source programming language that enables you to easily build software on Linux/UNIX machines. When Go is paired with the ODBC Driver for Salesforce Data Cloud and unixODBC you are able write applications with connectivity to live Salesforce Data Cloud data. This article will walk you through the process of installing the ODBC Driver for Salesforce Data Cloud, configuring a connection using the unixODBC Driver Manager, and creating a simple Go application to work with Salesforce Data Cloud data.
Using the CData ODBC Drivers on a Unix/Linux Machine
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 help documentation (installed and found online).
Installing the Driver Manager
Before installing the driver, you need to be sure 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:
apt-get install unixodbc unixodbc-dev
For systems based on Red Hat Linux, you can install unixODBC with yum or dnf:
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
NOTE: You may need to install odbcinst. Use the following command in a terminal:
apt install odbcinst
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
Installing the Driver
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 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:
List the Registered Driver(s)
odbcinst -q -d
CData ODBC Driver for Salesforce Data Cloud
...
List the Defined Data Source(s)
odbcinst -q -s
CData SalesforceDataCloud Source
...
To use the CData ODBC Driver for Salesforce Data Cloud with unixODBC, you need to ensure that the driver is configured to use UTF-16. To do so, edit the INI file for the driver (cdata.odbc.salesforcedatacloud.ini), which can be found in the lib folder in the installation location (typically /opt/cdata/cdata-odbc-driver-for-salesforcedatacloud), as follows:
cdata.odbc.salesforcedatacloud.ini
...
[Driver]
DriverManagerEncoding = UTF-16
Modifying the DSN
When the driver is installed, a system DSN should be predefined. 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.
Salesforce Data Cloud supports authentication via the OAuth standard.
OAuth
Set AuthScheme to OAuth.
Desktop Applications
CData provides an embedded OAuth application that simplifies authentication at the desktop.
You can also authenticate from the desktop via a custom OAuth application, which you configure and register at the Salesforce Data Cloud console. For further information, see Creating a Custom OAuth App in the Help documentation.
Before you connect, set these properties:
- InitiateOAuth: GETANDREFRESH. You can use InitiateOAuth to avoid repeating the OAuth exchange and manually setting the OAuthAccessToken.
- OAuthClientId (custom applications only): The Client ID assigned when you registered your custom OAuth application.
- OAuthClientSecret (custom applications only): The Client Secret assigned when you registered your custom OAuth application.
When you connect, the driver opens Salesforce Data Cloud's OAuth endpoint in your default browser. Log in and grant permissions to the application.
The driver then completes the OAuth process as follows:
- Extracts the access token from the callback URL.
- Obtains a new access token when the old one expires.
- Saves OAuth values in OAuthSettingsLocation so that they persist across connections.
- Create the $HOME/golang/go path (if it does not exist) by entering the following commands in a terminal:
mkdir /root/golang mkdir /root/golang/go
- Define the GOPATH environment variable:
export GOPATH=$HOME/golang/go
-
Create a module inside the new Go directory:
cd $GOPATH go mod init myproject
- Install the Go driver for ODBC databases:
go get http://github.com/alexbrainman/odbc
For other OAuth methods, including Web Applications and Headless Machines, refer to the Help documentation.
/etc/odbc.ini or $HOME/.odbc.ini
[CData SalesforceDataCloud Source]
Driver = /opt/cdata/cdata-odbc-driver-for-salesforcedatacloud/lib/libsalesforcedatacloudodbc.x64.so
Description = My Description
For specific information on using these configuration files, please refer to the help documentation (installed and found online).
Creating a Simple Go App for Salesforce Data Cloud Data
With the Driver Manager installed and the DSN configured, you are ready to create a simple Go application to work with your Salesforce Data Cloud data. To start, install a Go driver for ODBC databases. While there are several options available, this article will use the odbc driver found at https://github.com/alexbrainman/odbc.
Installing ODBC on Linux
There are a series of steps required to install the ODBC driver for Go.
Now you are ready to create and execute a simple Go application.
Sample Go Application
The sample application issues a simple SQL SELECT query for Salesforce Data Cloud data and displays the results. Create the directory $GOPATH/src/cdata-odbc-salesforcedc and create a new Go source file, copying the source code from below.
cdata-odbc-salesforcedc.go
package main
import (
_ "github.com/alexbrainman/odbc"
"database/sql"
"log"
"fmt"
)
func main() {
db, err := sql.Open("odbc",
"DSN=CData SalesforceDataCloud Source")
if err != nil {
log.Fatal(err)
}
var (
[account id] string
[account name] string
)
rows, err := db.Query("SELECT [Account ID], [Account Name] FROM Account WHERE EmployeeCount = ?", "250")
if err != nil {
log.Fatal(err)
}
defer rows.Close()
for rows.Next() {
err := rows.Scan(&[account id], &[account name])
if err != nil {
log.Fatal(err)
}
fmt.Println([account id], [account name])
}
err = rows.Err()
if err != nil {
log.Fatal(err)
}
defer db.Close()
}
In the terminal, navigate to the Go application directory and build the application:
go build
After the application builds, you will be able to execute the application, displaying your Salesforce Data Cloud data:
./cdata-odbc-salesforcedc
At this point, you have a simple Go application for working with Salesforce Data Cloud data. From here, you can easily expand the application, adding deeper read functionality through familiar SQL queries.