Connect to Google Directory Data as an External Data Source using PolyBase



Use CData Connect Cloud and PolyBase to create an external data source in SQL Swerver with access to live Google Directory data.

PolyBase for SQL Server allows you to query external data by using the same Transact-SQL syntax used to query a database table. When paired with the CData ODBC Driver for Google Directory, you get access to your Google Directory data directly alongside your SQL Server data. This article describes creating an external data source and external tables to grant access to live Google Directory data using T-SQL queries.

NOTE: PolyBase is only available on SQL Server 19 and above, and only for Standard SQL Server.

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

Configure Google Directory Connectivity for PolyBase

Connectivity to Google Directory from PolyBase is made possible through CData Connect Cloud. To work with Google Directory data from PolyBase, we start by creating and configuring a Google Directory connection.

  1. Log into Connect Cloud, click Connections and click Add Connection
  2. Select "Google Directory" from the Add Connection panel
  3. Enter the necessary authentication properties to connect to Google Directory.

    Google uses the OAuth authentication standard. You can authorize the data provider to access Google Spreadsheets as an individual user or with a Google Apps Domain service account. See the Getting Started section of the data provider help documentation for an authentication guide.

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

Add a Personal Access Token

If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.

  1. Click on your username at the top right of the Connect Cloud app and click User Profile.
  2. On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
  3. Give your 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.

Create an External Data Source for Google Directory Data

After configuring the connection, you need to create a credential database for the external data source.

Creating a Credential Database

Execute the following SQL command to create credentials for the external data source connected to Google Directory data.

NOTE: Set IDENTITY to your Connect Cloud username and set SECRET to your Personal Access Token.


CREATE DATABASE SCOPED CREDENTIAL ConnectCloudCredentials
WITH IDENTITY = 'yourusername', SECRET = 'yourPAT';

Create an External Data Source for Google Directory

Execute a CREATE EXTERNAL DATA SOURCE SQL command to create an external data source for Google Directory with PolyBase:


CREATE EXTERNAL DATA SOURCE ConnectCloudInstance
WITH ( 
  LOCATION = 'sqlserver://tds.cdata.com:14333',
  PUSHDOWN = ON,
  CREDENTIAL = ConnectCloudCredentials
);

Create External Tables for Google Directory

After creating the external data source, use CREATE EXTERNAL TABLE statements to link to Google Directory data from your SQL Server instance. The table column definitions must match those exposed by CData Connect Cloud. You can use the Data Explorer in Connect Cloud to see the table definition.

Sample CREATE TABLE Statement

Execute a CREATE EXTERNAL TABLE SQL command to create the external table(s), using the collation and setting the LOCATION to three-part notation for the connection, catalog, and table. The statement to create an external table based on a Google Directory MyTable would look similar to the following.

CREATE EXTERNAL TABLE MyTable(
  Id COLLATE [nvarchar](255) NULL,
  Description COLLATE [nvarchar](255) NULL,
  ...
) WITH ( 
  LOCATION='GoogleDirectory1.GoogleDirectory.MyTable',
  DATA_SOURCE=ConnectCloudInstance
);

Having created external tables for Google Directory in your SQL Server instance, you are now able to query local and remote data simultaneously. To get live data access to 100+ SaaS, Big Data, and NoSQL sources directly from your SQL Server database, try CData Connect Cloud today!

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