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

Access Google Cloud Storage data like you would a database.

Write a Simple Go Application to work with Google Cloud Storage Data on Linux



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

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 Cloud Storage ...

List the Defined Data Source(s)

$ odbcinst -q -s CData GoogleCloudStorage Source ...

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

cdata.odbc.googlecloudstorage.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.

Authenticate with a User Account

You can connect without setting any connection properties for your user credentials. After setting InitiateOAuth to GETANDREFRESH, you are ready to connect.

When you connect, the Google Cloud Storage OAuth endpoint opens in your default browser. Log in and grant permissions, then the OAuth process completes

Authenticate with a Service Account

Service accounts have silent authentication, without user authentication in the browser. You can also use a service account to delegate enterprise-wide access scopes.

You need to create an OAuth application in this flow. See the Help documentation for more information. After setting the following connection properties, you are ready to connect:

  • InitiateOAuth: Set this to GETANDREFRESH.
  • OAuthJWTCertType: Set this to "PFXFILE".
  • OAuthJWTCert: Set this to the path to the .p12 file you generated.
  • OAuthJWTCertPassword: Set this to the password of the .p12 file.
  • OAuthJWTCertSubject: Set this to "*" to pick the first certificate in the certificate store.
  • OAuthJWTIssuer: In the service accounts section, click Manage Service Accounts and set this field to the email address displayed in the service account Id field.
  • OAuthJWTSubject: Set this to your enterprise Id if your subject type is set to "enterprise" or your app user Id if your subject type is set to "user".
  • ProjectId: Set this to the Id of the project you want to connect to.

The OAuth flow for a service account then completes.

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

[CData GoogleCloudStorage Source] Driver = CData ODBC Driver for Google Cloud Storage Description = My Description ProjectId = 'project1'

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

Creating a Simple Go App for Google Cloud Storage Data

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

To install the odbc driver for Go, you will need to first ensure that you define the GOPATH environment variable:

export GOPATH=$HOME/golang/go

Once GOPATH is defined, you are ready to install the Go driver for ODBC databases:

$ go get 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 Google Cloud Storage data and displays the results. Create the directory $GOPATH/src/cdata-odbc-googlecloudstorage and create a new Go source file, copying the source code from below.

cdata-odbc-googlecloudstorage.go

package main import ( _ "github.com/alexbrainman/odbc" "database/sql" "log" "fmt" ) func main() { db, err := sql.Open("odbc", "DSN=CData GoogleCloudStorage Source") if err != nil { log.Fatal(err) } var ( name string ownerid string ) rows, err := db.Query("SELECT Name, OwnerId FROM Buckets WHERE Name = ?", "TestBucket") if err != nil { log.Fatal(err) } defer rows.Close() for rows.Next() { err := rows.Scan(&name, &ownerid) if err != nil { log.Fatal(err) } fmt.Println(name, ownerid) } 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 Google Cloud Storage data:

$ ./cdata-odbc-googlecloudstorage

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