Connect to MongoDB 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 MongoDB 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 MongoDB, you get access to your MongoDB data directly alongside your SQL Server data. This article describes creating an external data source and external tables to grant access to live MongoDB 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 MongoDB, allowing you to query data from MongoDB 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 MongoDB, leveraging server-side processing to return the requested MongoDB data quickly.

About MongoDB Data Integration

Accessing and integrating live data from MongoDB has never been easier with CData. Customers rely on CData connectivity to:

MongoDB's flexibility means that it can be used as a transactional, operational, or analytical database. That means CData customers use our solutions to integrate their business data with MongoDB or integrate their MongoDB data with their data warehouse (or both). Customers also leverage our live connectivity options to analyze and report on MongoDB directly from their preferred tools, like Power BI and Tableau.

For more details on MongoDB use case and how CData enhances your MongoDB experience, check out our blog post: The Top 10 Real-World MongoDB Use Cases You Should Know in 2024.


Getting Started


Configure MongoDB Connectivity for PolyBase

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

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

    Set the Server, Database, User, and Password connection properties to connect to MongoDB. To access MongoDB collections as tables you can use automatic schema discovery or write your own schema definitions. Schemas are defined in .rsd files, which have a simple format. You can also execute free-form queries that are not tied to the schema.

  4. Click Create & Test
  5. Navigate to the Permissions tab in the Add MongoDB 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 MongoDB 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 MongoDB 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 MongoDB

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


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

Create External Tables for MongoDB

After creating the external data source, use CREATE EXTERNAL TABLE statements to link to MongoDB 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 MongoDB restaurants would look similar to the following.

CREATE EXTERNAL TABLE restaurants(
  borough COLLATE [nvarchar](255) NULL,
  cuisine COLLATE [nvarchar](255) NULL,
  ...
) WITH ( 
  LOCATION='MongoDB1.MongoDB.restaurants',
  DATA_SOURCE=ConnectCloudInstance
);

Having created external tables for MongoDB 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!

Ready to get started?

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