How to connect PolyBase to Pinterest



Use CData drivers and PolyBase to create an external data source in SQL Server 2019 with access to live Pinterest 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 Pinterest, you get access to your Pinterest data directly alongside your SQL Server data. This article describes creating an external data source and external tables to grant access to live Pinterest data using T-SQL queries.

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

The CData ODBC drivers offer unmatched performance for interacting with live Pinterest data using PolyBase due to optimized data processing built into the driver. When you issue complex SQL queries from SQL Server to Pinterest, the driver pushes down supported SQL operations, like filters and aggregations, directly to Pinterest and utilizes the embedded SQL engine to process unsupported operations (often SQL functions and JOIN operations) client-side. And with PolyBase, you can also join SQL Server data with Pinterest data, using a single query to pull data from distributed sources.

Connect to Pinterest

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs. To create an external data source in SQL Server using PolyBase, configure a System DSN (CData Pinterest Sys is created automatically).

Pinterest authentication is based on the standard OAuth flow. To authenticate, you must initially create an app via the Pinterest developer platform where you can obtain an OAuthClientId, OAuthClientSecret, and CallbackURL.

Set InitiateOAuth to GETANDREFRESH and set OAuthClientId, OAuthClientSecret, and CallbackURL based on the property values for the app you created.

See the Help documentation for other OAuth authentication flows.

Click "Test Connection" to ensure that the DSN is connected to Pinterest properly. Navigate to the Tables tab to review the table definitions for Pinterest.

Create an External Data Source for Pinterest Data

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

Creating a Master Encryption Key

Execute the following SQL command to create a new master key, 'ENCRYPTION,' to encrypt the credentials for the external data source.

CREATE MASTER KEY ENCRYPTION BY PASSWORD = 'password';

Creating a Credential Database

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

NOTE: Since Pinterest does not require a User or Password to authenticate, you may use whatever values you wish for IDENTITY and SECRET.


CREATE DATABASE SCOPED CREDENTIAL pinterest_creds
WITH IDENTITY = 'username', SECRET = 'password';

Create an External Data Source for Pinterest

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

  • Set the LOCATION parameter , using the DSN and credentials configured earlier.

For Pinterest, set SERVERNAME to the URL or address for your server (e.g. 'localhost' or '127.0.0.1' for local servers; the remote URL for remote servers). Leave PORT empty. PUSHDOWN is set to ON by default, meaning the ODBC Driver can leverage server-side processing for complex queries.


CREATE EXTERNAL DATA SOURCE cdata_pinterest_source
WITH ( 
  LOCATION = 'odbc://SERVER_URL',
  CONNECTION_OPTIONS = 'DSN=CData Pinterest Sys',
  -- PUSHDOWN = ON | OFF,
  CREDENTIAL = pinterest_creds
);

Create External Tables for Pinterest

After creating the external data source, use CREATE EXTERNAL TABLE statements to link to Pinterest data from your SQL Server instance. The table column definitions must match those exposed by the CData ODBC Driver for Pinterest. You can refer to the Tables tab of the DSN Configuration Wizard to see the table definition.

Sample CREATE TABLE Statement

The statement to create an external table based on a Pinterest Users would look similar to the following:

CREATE EXTERNAL TABLE Users(
  Id [nvarchar](255) NULL,
  Username [nvarchar](255) NULL,
  ...
) WITH ( 
  LOCATION='Users',
  DATA_SOURCE=cdata_pinterest_source
);

Having created external tables for Pinterest in your SQL Server instance, you are now able to query local and remote data simultaneously. Thanks to built-in query processing in the CData ODBC Driver, you know that as much query processing as possible is being pushed to Pinterest, freeing up local resources and computing power. Download a free, 30-day trial of the ODBC Driver for Pinterest and start working with live Pinterest data alongside your SQL Server data today.

Ready to get started?

Download a free trial of the Pinterest ODBC Driver to get started:

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Learn more:

Pinterest Icon Pinterest ODBC Driver

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

Access Pinterest data like you would a database - read, write, and update Pinterest Boards, Followers, Pins, etc. through a standard ODBC Driver interface.