Connect to Live Yahoo! Ads Data in PostGresSQL Interface through CData Connect Cloud

There are a vast number of PostgreSQL clients available on the Internet. PostgreSQL is a popular interface for data access. When you pair PostgreSQL with CData Connect Cloud, you gain database-like access to live Yahoo! Ads data from PostgreSQL. In this article, we walk through the process of connecting to Yahoo! Ads data in Connect Cloud and establishing a connection between Connect Cloud and PostgreSQL using a TDS foreign data wrapper (FDW).

CData Connect Cloud provides a pure SQL Server interface for Yahoo! Ads, allowing you to query data from Yahoo! Ads 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 Yahoo! Ads, leveraging server-side processing to return the requested Yahoo! Ads data quickly.

Connect to Yahoo! Ads in Connect Cloud

CData Connect Cloud uses a straightforward, point-and-click interface to connect to data sources.

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

2. Select "Yahoo! Ads" from the Add Connection panel

3. Enter the necessary authentication properties to connect to Yahoo! Ads.

   Authenticating with Yahoo! Ads

   Yahoo! Ads supports OAuth authentication. To authenticate with Yahoo! Ads, set the following connection properties:

   • (Optional) Enter the Search Ads Account Id. If left blank, this defaults to the Authenticated user's primary account.
   • (Optional) Enter the Display Ads Account Id. If left blank, this defaults to the Authenticated user's primary account.

   Click Sign in to connect securely through OAuth. This action opens the Yahoo! Ads sign-in page in a new tab.

   Log in to your Yahoo! Ads account and provide the requested permissions (if applicable).

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

Add a Personal Access Token

When connecting to Connect Cloud 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 Cloud. 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 Cloud 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 Yahoo! Ads data from PostgreSQL.

Build the TDS Foreign Data Wrapper

The Foreign Data Wrapper can be installed as an extension to PostgreSQL, without recompiling PostgreSQL. The tds_fdw extension is used as an example (https://github.com/tds-fdw/tds_fdw).

1. You can clone and build the git repository via something like the following view source:

   sudo apt-get install git
   git clone https://github.com/tds-fdw/tds_fdw.git
   cd tds_fdw
   make USE_PGXS=1
   sudo make USE_PGXS=1 install
   

   Note: If you have several PostgreSQL versions and you do not want to build for the default one, first locate where the binary for pg_config is, take note of the full path, and then append PG_CONFIG= after USE_PGXS=1 at the make commands.
2. After you finish the installation, then start the server:

   sudo service postgresql start
   

3. Then go inside the Postgres database

   psql -h localhost -U postgres -d postgres
   

   Note: Instead of localhost you can put the IP where your PostgreSQL is hosted.

Connect to Yahoo! Ads data as a PostgreSQL Database and query the data!

After you have installed the extension, follow the steps below to start executing queries to Yahoo! Ads data:

1. Log into your database.
2. Load the extension for the database:

   CREATE EXTENSION tds_fdw;
   

3. Create a server object for Yahoo! Ads data:

   CREATE SERVER "YahooAds1" FOREIGN DATA WRAPPER tds_fdw OPTIONS (servername'tds.cdata.com', port '14333', database 'YahooAds1');
   

4. Configure user mapping with your email and Personal Access Token from your Connect Cloud account:

   CREATE USER MAPPING for postgres SERVER "YahooAds1" OPTIONS (username '[email protected]', password 'your_personal_access_token' );
   

5. Create the local schema:

   CREATE SCHEMA "YahooAds1";
   

6. Create a foreign table in your local database:

   #Using a table_name definition:
   
   CREATE FOREIGN TABLE "YahooAds1".CampaignPerformance  (      
   id varchar,      
   Clicks varchar)      
   SERVER "YahooAds1"
   OPTIONS(table_name 'YahooAds.CampaignPerformance', row_estimate_method 'showplan_all');
   
   #Or using a schema_name and table_name definition:
   
   CREATE FOREIGN TABLE "YahooAds1".CampaignPerformance (      
   id varchar,      
   Clicks varchar)      
   SERVER "YahooAds1"
   OPTIONS (schema_name 'YahooAds', table_name 'CampaignPerformance', row_estimate_method 'showplan_all');
   
   #Or using a query definition:
   
   CREATE FOREIGN TABLE  "YahooAds1".CampaignPerformance (
   id varchar,      
   Clicks varchar)      
   SERVER "YahooAds1"
   OPTIONS (query 'SELECT * FROM YahooAds.CampaignPerformance', row_estimate_method 'showplan_all');
   
   #Or setting a remote column name:
   
   CREATE FOREIGN TABLE "YahooAds1".CampaignPerformance (
   id varchar,
   col2 varchar OPTIONS (column_name 'Clicks'))
   SERVER "YahooAds1"
   OPTIONS (schema_name 'YahooAds', table_name 'CampaignPerformance', row_estimate_method 'showplan_all');
   

7. You can now execute read/write commands to Yahoo! Ads:

   SELECT id, Clicks
   FROM "YahooAds1".CampaignPerformance;
   

More Information & Free Trial

Now, you have created a simple query from live Yahoo! Ads data. For more information on connecting to Yahoo! Ads (and more than 200 other data sources), visit the Connect Cloud page. Sign up for a free trial and start working with live Yahoo! Ads data in PostgreSQL.