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CData Connect Server

Query Twitter Data in MySQL Workbench

Create a virtual MySQL database for Twitter data in CData Connect (or Connect Server) and work with live Twitter data in MySQL Workbench.

MySQL Workbench allows users to administer MySQL environments and gain better visibility into databases. When paired with CData Connect (on-premise or Connect Server), you get live access to Twitter data as if it were a MySQL database. This article shows how to create a virtual database for Twitter in Connect and work with live Twitter data in MySQL Workbench.

Create a Virtual MySQL Database for Twitter Data

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

  1. Login to Connect and click Connections.
  2. Select "Twitter" from Available Data Sources.
  3. Twitter uses OAuth to authenticate. Click Connect to authenticate with Twitter.
  4. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to connect to Twitter from MySQL Workbench.

Query Twitter from MySQL Workbench

The steps below outline connecting to the virtual Twitter database in Connect from MySQL Workbench and issuing basic queries to work with live Twitter data.

Connect to Twitter through Connect

  1. In MySQL Workbench, click to add a new MySQL connection.
  2. Name the connection (CData Connect).
  3. Set the Hostname, Port, and Username parameters to connect to the SQL Gateway.
  4. Click Store in Vault to set and store the password.
  5. Click Test Connection to ensure the connection is configured properly and click OK.

Query Twitter Data

  1. Open the connection you just created (CData Connect).
  2. Click File -> New Query Tab.
  3. Write a SQL query to retrieve Twitter data, like SELECT * FROM twitterdb.Tweets;

With access to live Twitter data from MySQL Workbench, you can easily query and update Twitter, just like you would a MySQL database. Request a demo of the CData Connect and start working with Twitter just like a MySQL database today.