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The CData JDBC Driver for MySQL integrates MySQL data with wizards and analytics in IDEs like Aqua Data Studio. This article shows how to connect to MySQL data through the connection manager and execute queries.
You can use the connection manager to define connection properties and save them in a new JDBC data source. The MySQL data source can then be accessed from Aqua Data Studio tools.
URL: Enter the JDBC URL, which starts with jdbc:mysql: and is followed by a semicolon-separated list of connection properties.
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.
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).
To connect to MySQL via SSH in Password Auth mode, set the following connection properties:
To connect to MySQL via SSH in Password Auth mode, set the following connection properties:
For assistance in constructing the JDBC URL, use the connection string designer built into the MySQL JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.mysql.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.)jdbc:mysql:User=myUser;Password=myPassword;Database=NorthWind;Server=myServer;Port=3306;
You can now query the tables exposed.
👁 A query executed in the Table Data Editor. (QuickBooks is shown.)Download a free trial of the MySQL Driver to get started:
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