Work with Live MySQL Data in Power Query

Power Query is a data transformation and data preparation engine. When paired with CData Connect AI, you get instant, cloud-to-cloud access to MySQL data from Power Query. This article shows how to connect to Connect AI from Power Query through Microsoft Excel and get live access to MySQL data for transformation and preparation.

CData Connect AI provides a pure SQL, cloud-to-cloud interface for MySQL, allowing you to easily integrate with live MySQL data in Power Query — without replicating the data. CData Connect AI looks exactly like a SQL Server database to Power Query and uses optimized data processing out of the box to push all supported SQL operations (filters, JOINs, etc) directly to MySQL, leveraging server-side processing to quickly return MySQL data.

Configure MySQL Connectivity for Power Query

Connectivity to MySQL from Power Query is made possible through CData Connect AI. To work with MySQL data from Power Query, we start by creating and configuring a MySQL connection.

1. Log into Connect AI, click Sources, and then click Add Connection
👁 Adding a Connection

2. Select "MySQL" from the Add Connection panel
👁 Selecting a data source

3. Enter the necessary authentication properties to connect to MySQL.

   The CData Provider supports connecting to on-premises and cloud-hosted versions of MySQL such as Amazon RDS for MySQL, Google Cloud SQL for MySQL, Azure Database for MySQL, or Oracle MySQL HeatWave. The Server and Port properties must be set to a MySQL server. If IntegratedSecurity is set to false, then User and Password must be set to valid user credentials. Optionally, Database can be set to connect to a specific database. If not set, tables from all databases will be returned.

   SSH Connectivity for MySQL

   You can use SSH (Secure Shell) to authenticate with MySQL, 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).

   SSH Connections to MySQL in Password Auth Mode

   To connect to MySQL via SSH in Password Auth mode, set the following connection properties:

   • User: MySQL User name
   • Password: MySQL Password
   • Database: MySQL database name
   • Server: MySQL Server name
   • Port: MySQL port number like 3306
   • UserSSH: "true"
   • SSHAuthMode: "Password"
   • SSHPort: SSH Port number
   • SSHServer: SSH Server name
   • SSHUser: SSH User name
   • SSHPassword: SSH Password

   SSH Connections to MySQL in Public Key Auth Mode

   To connect to MySQL via SSH in Password Auth mode, set the following connection properties:

   • User: MySQL User name
   • Password: MySQL Password
   • Database: MySQL database name
   • Server: MySQL Server name
   • Port: MySQL port number like 3306
   • UserSSH: "true"
   • SSHAuthMode: "Public_Key"
   • SSHPort: SSH Port number
   • SSHServer: SSH Server name
   • SSHUser: SSH User name
   • SSHClientCret: the path for the public key certificate file
   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add MySQL Connection page and update the User-based permissions. 👁 Updating permissions
   

Add a Personal Access Token

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.

1. Click on the Gear icon () at the top right of the Connect AI 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. 👁 Creating a new PAT
   
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 MySQL data from Power Query.

Working with Live MySQL Data in Power Query

With the connection to Connect AI configured, you are ready to work with live MySQL data in Power Query.

1. In Microsoft Excel, open the Power Query Editor (from the Data ribbon, click Get Data -> Launch Power Query Editor) 👁 Opening the Power Query Editor
   
2. Click New Source -> SQL Server 👁 Creating a new SQL Server Source
   
3. In the SQL Server database modal:
   • Set Server to tds.cdata.com,14333
   • (Optional) Set Database to the name of the MySQL connection (e.g. MySQL1 )
   👁 Configuring the Server
   
4. In the SQL Server credentials modal, select "Database" and
   • Set User to your Connect AI username (e.g. [email protected] )
   • Set Password to the PAT for the above user
   👁 Configuring the credentials
   
5. Click Connect
6. Select the table(s) you wish to work with in the Navigator and click "OK" 👁 Selecting the table(s) (Salesforce is shown)
   

At this point, you have live access to MySQL data from Power Query for transformation and preparation.

SQL Access to MySQL Data

Now you have a direct connection to live MySQL data from Microsoft Power Query. You can create more connections and transform and preparte your data to better drive business — all without replicating MySQL data.

To get real-time data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, sign up for a free trial of CData Connect AI.