Write a Simple Go Application to work with BigQuery Data on Linux

Use CData ODBC drivers and unixODBC to create a simple Go app with live connectivity to BigQuery 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 BigQuery and unixODBC you are able write applications with connectivity to live BigQuery data. This article will walk you through the process of installing the ODBC Driver for BigQuery, configuring a connection using the unixODBC Driver Manager, and creating a simple Go application to work with BigQuery 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).

About BigQuery Data Integration

CData simplifies access and integration of live Google BigQuery data. Our customers leverage CData connectivity to:

Simplify access to BigQuery with broad out-of-the-box support for authentication schemes, including OAuth, OAuth JWT, and GCP Instance.
Enhance data workflows with Bi-directional data access between BigQuery and other applications.
Perform key BigQuery actions like starting, retrieving, and canceling jobs; deleting tables; or insert job loads through SQL stored procedures.

Most CData customers are using Google BigQuery as their data warehouse and so use CData solutions to migrate business data from separate sources into BigQuery for comprehensive analytics. Other customers use our connectivity to analyze and report on their Google BigQuery data, with many customers using both solutions.

For more details on how CData enhances your Google BigQuery experience, check out our blog post: https://www.cdata.com/blog/what-is-bigquery

Getting Started

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 Google BigQuery
...

List the Defined Data Source(s)


odbcinst -q -s
CData GoogleBigQuery Source
...

To use the CData ODBC Driver for Google BigQuery 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.googlebigquery.ini), which can be found in the lib folder in the installation location (typically /opt/cdata/cdata-odbc-driver-for-googlebigquery), as follows:

cdata.odbc.googlebigquery.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.

Google uses the OAuth authentication standard. To access Google APIs on behalf of individual users, you can use the embedded credentials or you can register your own OAuth app.

OAuth also enables you to use a service account to connect on behalf of users in a Google Apps domain. To authenticate with a service account, you will need to register an application to obtain the OAuth JWT values.

In addition to the OAuth values, you will need to specify the DatasetId and ProjectId. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.

/etc/odbc.ini or $HOME/.odbc.ini


[CData GoogleBigQuery Source]
Driver = /opt/cdata/cdata-odbc-driver-for-googlebigquery/lib/libgooglebigqueryodbc.x64.so
Description = My Description
DataSetId = MyDataSetId
ProjectId = MyProjectId

For specific information on using these configuration files, please refer to the help documentation (installed and found online).

Creating a Simple Go App for BigQuery Data

With the Driver Manager installed and the DSN configured, you are ready to create a simple Go application to work with your BigQuery 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.

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

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 BigQuery data and displays the results. Create the directory $GOPATH/src/cdata-odbc-bigquery and create a new Go source file, copying the source code from below.

cdata-odbc-bigquery.go


package main

import (
  _ "github.com/alexbrainman/odbc"
  "database/sql"
  "log"
  "fmt"
)

func main() {
  db, err := sql.Open("odbc",
    "DSN=CData GoogleBigQuery Source")
  if err != nil {
    log.Fatal(err)
  }

  var (
    ordername string
    freight string
  )

  rows, err := db.Query("SELECT OrderName, Freight FROM Orders WHERE ShipCity = ?", "New York")
  if err != nil {
    log.Fatal(err)
  }
  defer rows.Close()
  for rows.Next() {
    err := rows.Scan(&ordername, &freight)
    if err != nil {
      log.Fatal(err)
    }
    fmt.Println(ordername, freight)
  }
  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 BigQuery data:


./cdata-odbc-bigquery

At this point, you have a simple Go application for working with BigQuery data. From here, you can easily expand the application, adding deeper read/write functionality through familiar SQL queries.

Ready to get started?

Download a free trial of the Google BigQuery ODBC Driver to get started:

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Learn more:

Google BigQuery ODBC Driver

The Google BigQuery ODBC Driver is a powerful tool that allows you to connect with live Google BigQuery data, directly from any applications that support ODBC connectivity.

Access Google BigQuery like you would a database - read, write, and update Datasets, Tables, etc. through a standard ODBC Driver interface.

CData Software is a leading provider of data access and connectivity solutions. Our standards-based connectors streamline data access and insulate customers from the complexities of integrating with on-premise or cloud databases, SaaS, APIs, NoSQL, and Big Data.

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