Connect to Google Cloud Storage Data as a SQL Server Linked Server

SQL Server Linked Servers enable the SQL Server Database Engine to read data from remote data sources and execute commands against the remote database servers outside of the instance of SQL Server. Typically, linked servers are configured to enable the execution of a T-SQL statement that includes tables in another instance of SQL Server, or another database product such as Oracle. When paired with CData Connect AI, linked servers provides instant access to Google Cloud Storage data from your SQL Server database. This article demonstrates how to connect to Google Cloud Storage using Connect AI and query Google Cloud Storage data in SQL Server Management Studio (SSMS).

CData Connect AI provides a pure SQL Server interface for Google Cloud Storage, allowing you to query data from Google Cloud Storage without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to Google Cloud Storage, leveraging server-side processing to return the requested Google Cloud Storage data quickly.

Configure Google Cloud Storage Connectivity for SQL Server

Connectivity to Google Cloud Storage from SQL Linked Servers is made possible through CData Connect AI. To work with Google Cloud Storage data from SQL Linked Servers, we start by creating and configuring a Google Cloud Storage connection.

1. Log into Connect AI, click Sources, and then click Add Connection

2. Select "Google Cloud Storage" from the Add Connection panel

3. Enter the necessary authentication properties to connect to Google Cloud Storage.

   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.

   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Google Cloud Storage Connection page and update the User-based permissions.

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create.
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to Google Cloud Storage data from .

Connect to Google Cloud Storage from SQL Server using Connect AI

To establish a connection from SQL Server Linked Server to the CData Connect AI Virtual SQL Server API, follow these steps.

1. Open Microsoft SQL Server Management Studio.
2. In the Object Explorer pane, open Server Objects, right-click Linked Servers, and select New Linked Server.

3. The New Linked Server dialogue opens. On the General page, enter the following information:
   • Enter a name for the server in the Linked server field.
   • Select the radio button Other data source and select SQL Server Native Client 11.0 as the provider.
   • In the Data source field, enter tds.cdata.com,14333
   • In the Catalog field, enter enter the Connection Name of the CData Connect AI data source you want to connect to (for example, GoogleCloudStorage1).
   
4. Select the Security page. At the bottom, select the radio button labeled Be made using this security context and enter the following information:
   • Remote login - enter your CData Connect AI username. This is displayed in the top-right corner of the CData Connect AI interface. For example, [email protected].
   • With password - enter the PAT you generated on the Settings page.
   
5. Click OK to create the server.
Your linked server can now be used to access the data in the data source you specified. If you need to access data from more sources, create another linked server for each one.

Execute Queries

You can now execute queries to the Google Cloud Storage linked server from any tool that can connect to SQL Server. An example SQL query would be:

		SELECT * FROM [CDATA CONNECT CLOUD].[GoogleCloudStorage1].[GoogleCloudStorage].[Buckets]
	

We have successfully created a linked server that allows us to query Google Cloud Storage data.

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