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URL: https://www.cdata.com/kb/tech/mysql-cloud-filemaker-pro.rst

⇱ Connect to MySQL Data from Filemaker Pro (Mac)


Connect to MySQL Data from Filemaker Pro (Mac)

πŸ‘ Mohsin Turki
Mohsin Turki
Technical Marketing Engineer
Use CData Connect AI to connect to and query live MySQL data from Filemaker Pro on Mac.

FileMaker Pro is a cross-platform relational database application that allows users to visually modify a database. When paired with CData Connect AI, FileMaker Pro gets access to live MySQL data. This article demonstrates how to connect to MySQL using Connect AI and query MySQL data in FileMaker Pro.

CData Connect AI provides a pure SQL Server interface for MySQL, allowing you to query data from MySQL without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to MySQL, leveraging server-side processing to return the requested MySQL data quickly.

Configure MySQL Connectivity for FileMaker Pro

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

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. πŸ‘ Adding a Connection
  3. Select "MySQL" from the Add Connection panel
  4. πŸ‘ Selecting a data source
  5. 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
    πŸ‘ Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add MySQL Connection page and update the User-based permissions. πŸ‘ 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. πŸ‘ 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 Filemaker Pro.

Connect to MySQL from FileMaker Pro using Connect AI

To establish a connection from FileMaker Pro to the CData Connect AI Virtual SQL Server API, follow these steps.

Configure the ODBC Connection to CData Connect AI

  1. Download and install the Actual ODBC Driver for SQL Server (actualtech.com)
  2. Configure a DSN for the Actual ODBC driver by setting the following properties:
    • URL: tds.cdata.com
    • Port: Change the port from 1433 to 14333
    • Username: Your Connect AI email address
    • Password: the PAT you created earlier

Query MySQL from FileMaker Pro

  1. In the SQL Query Builder "SELECT" tab, select the columns to include as part of the query. πŸ‘ Configuring the query by selecting columns.
  2. Open the "WHERE" tab of the SQL Query Builder and select "Show only selected columns."
  3. In "Table.Column,"" select a table and a column name.
  4. Set the "Operator" to =.
  5. Select "Column," and then select the same table and column name as "Table.Column."
  6. Click "Insert into SQL Query." πŸ‘ Configuring the query by setting the WHERE clause.
  7. If no other modifications to the SQL query are required, click "Execute."

Get CData Connect AI

To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your SQL Server database, try CData Connect AI today!

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