![]() ![]() Click Store in Vault to set and store the password.Set the Hostname, Port, and Username parameters to connect to the SQL Gateway.Name the connection (CData SQL Gateway for Redshift).In MySQL Workbench, click to add a new MySQL connection.The steps below outline connecting to the virtual Redshift database created in the SQL Gateway from MySQL Workbench and issuing basic queries to work with live Redshift data.Ĭonnect to Redshift through the SQL Gateway The service can be configured in the SQL Gateway UI. You will configure a MySQL remoting service that listens for MySQL requests from clients. See the SQL Gateway Overview to set up connectivity to Redshift data as a virtual MySQL database. On the Configuration tab for the cluster, copy the cluster URL from the connection strings displayed. ![]() On the Clusters page, click the name of the cluster.You can obtain the Server and Port values in the AWS Management Console: Password: Set this to the password you want to use to authenticate to the Server.User: Set this to the username you want to use to authenticate to the Server.Or, leave this blank to use the default database of the authenticated user. Database: Set this to the name of the database.Port: Set this to the port of the cluster.Server: Set this to the host name or IP address of the cluster hosting the Database you want to connect to.To connect to Redshift, set the following: See the "Getting Started" chapter in the help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN. This is also the last step of the driver installation. You can use the built-in Microsoft ODBC Data Source Administrator to configure the DSN. If you have not already done so, provide values for the required connection properties in the data source name (DSN). Follow the procedure below to start the MySQL remoting service of the SQL Gateway and work with live Redshift data in MySQL Workbench. You can use the SQL Gateway from the ODBC Driver for Redshift to query Redshift data through a MySQL interface. ![]()
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