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Embulk is an open source bulk data loader. When paired with the CData JDBC Driver for Facebook, Embulk easily loads data from Facebook to any supported destination. In this article, we explain how to use the CData JDBC Driver for Facebook in Embulk to load Facebook data to a MySQL dtabase.
With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Facebook data. When you issue complex SQL queries to Facebook, the driver pushes supported SQL operations, like filters and aggregations, directly to Facebook and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).
Before creating a bulk load job in Embulk, note the installation location for the JAR file for the JDBC Driver (typically C:\Program Files\CData\CData JDBC Driver for Facebook\lib).
Embulk supports JDBC connectivity, so you can easily connect to Facebook and execute SQL queries. Before creating a bulk load job, create a JDBC URL for authenticating with Facebook.
Most tables require user authentication as well as application authentication. Facebook uses the OAuth authentication standard. To authenticate to Facebook, you can use the embedded OAuthClientId, OAuthClientSecret, and CallbackURL or you can obtain your own by registering an app with Facebook.
See the Getting Started chapter of the help documentation for a guide to using OAuth.
For assistance in constructing the JDBC URL, use the connection string designer built into the Facebook JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.facebook.jar
Fill in the connection properties and copy the connection string to the clipboard.
👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)Below is a typical JDBC connection string for Facebook:
jdbc:facebook:InitiateOAuth=GETANDREFRESH;
After installing the CData JDBC Driver and creating a JDBC connection string, install the required Embulk plugins.
embulk gem install embulk-input-jdbc
embulk gem install embulk-output-mysql
With the input and output plugins installed, we are ready to load Facebook data into MySQL using Embulk.
Start by creating a config file in Embulk, using a name like facebook-mysql.yml.
in: type: jdbc driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.facebook.jar driver_class: cdata.jdbc.facebook.FacebookDriver url: jdbc:facebook:InitiateOAuth=GETANDREFRESH; table: "Posts" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "Posts" mode: insert
After creating the file, run the Embulk job.
embulk run facebook-mysql.yml
After running the the Embulk job, find the Salesforce data in the MySQL table.
In addition to loading data directly from a table, you can use a custom SQL query to have more granular control of the data loaded. You can also perform increment loads by setting a last updated column in a SQL WHERE clause in the query field.
in: type: jdbc driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.facebook.jar driver_class: cdata.jdbc.facebook.FacebookDriver url: jdbc:facebook:InitiateOAuth=GETANDREFRESH; query: "SELECT FromName, LikesCount FROM Posts WHERE [RecordId] = 1" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "Posts" mode: insert
By using CData JDBC Driver for Facebook as a connector, Embulk can integrate Facebook data into your data load jobs. And with drivers for more than 200+ other enterprise sources, you can integrate any enterprise SaaS, big data, or NoSQL source as well. Download a 30-day free trial and get started today.
Download a free trial of the Facebook Driver to get started:
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