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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 PostgreSQL, you get access to your PostgreSQL data directly alongside your SQL Server data. This article describes creating an external data source and external tables to grant access to live PostgreSQL data using T-SQL queries.
NOTE: PolyBase is only available on SQL Server 19 and above.
CData Connect AI provides a pure SQL Server interface for PostgreSQL, allowing you to query data from PostgreSQL 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 PostgreSQL, leveraging server-side processing to return the requested PostgreSQL data quickly.
Connectivity to PostgreSQL from PolyBase is made possible through CData Connect AI. To work with PostgreSQL data from PolyBase, we start by creating and configuring a PostgreSQL connection.
To connect to PostgreSQL, set the Server, Port (the default port is 5432), and Database connection properties and set the User and Password you wish to use to authenticate to the server. If the Database property is not specified, the data provider connects to the user's default database.
You can use SSH (Secure Shell) to authenticate with PostgreSQL, whether the instance is hosted on-premises or in supported cloud environments. SSH authentication ensures that access is encrypted (as compared to direct network connections).
To connect to PostgreSQL via SSH in Password Auth mode, set the following connection properties:
To connect to PostgreSQL via SSH in Password Auth mode, set the following connection properties:
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.
With the connection configured and a PAT generated, you are ready to connect to PostgreSQL data from Polybase.
After configuring the connection, you need to create a credential database for the external data source.
Execute the following SQL command to create credentials for the external data source connected to PostgreSQL data.
NOTE: Set IDENTITY to your Connect AI username and set SECRET to your Personal Access Token.
CREATE DATABASE SCOPED CREDENTIAL ConnectCloudCredentials WITH IDENTITY = 'yourusername', SECRET = 'yourPAT';
Execute a CREATE EXTERNAL DATA SOURCE SQL command to create an external data source for PostgreSQL with PolyBase:
CREATE EXTERNAL DATA SOURCE ConnectCloudInstance WITH ( LOCATION = 'sqlserver://tds.cdata.com:14333', PUSHDOWN = ON, CREDENTIAL = ConnectCloudCredentials );
After creating the external data source, use CREATE EXTERNAL TABLE statements to link to PostgreSQL data from your SQL Server instance. The table column definitions must match those exposed by CData Connect AI. You can use the Data Explorer in Connect AI to see the table definition.
๐ Table definition in the Data Explorer (Salesforce is shown)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 PostgreSQL Orders would look similar to the following.
CREATE EXTERNAL TABLE Orders( ShipName COLLATE [nvarchar](255) NULL, ShipCity COLLATE [nvarchar](255) NULL, ... ) WITH ( LOCATION='PostgreSQL1.PostgreSQL.Orders', DATA_SOURCE=ConnectCloudInstance );
Having created external tables for PostgreSQL in your SQL Server instance, you are now able to query local and remote data simultaneously. To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your SQL Server database, try CData Connect AI today!
Learn more about CData Connect AI or sign up for free trial access:
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