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You can use the SQL Gateway to configure a MySQL remoting service and set up federated tables for Azure Data Lake Storage data. The service is a daemon process that provides a MySQL interface to the CData ODBC Driver for Azure Data Lake Storage: After you have started the service, you can create a server and tables using the FEDERATED Storage Engine in MySQL. You can then work with Azure Data Lake Storage data just as you would local MySQL tables.
If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can use the built-in Microsoft ODBC Data Source Administrator to configure the DSN. This is also the last step of the driver installation. 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.
Gen 1 uses OAuth 2.0 in Entra ID (formerly Azure AD) for authentication.
For this, an Active Directory web application is required. You can create one as follows:
To authenticate against a Gen 1 DataLakeStore account, the following properties are required:
To authenticate against a Gen 2 DataLakeStore account, the following properties are required:
See the SQL Gateway Overview to set up connectivity to Azure Data Lake Storage data as a virtual MySQL database. You will configure a MySQL remoting service that listens for MySQL requests from clients. The service can be configured in the SQL Gateway UI.
👁 Creating a MySQL Remoting Service in SQL Gateway (Salesforce is shown)
After you have configured and started the service, create a FEDERATED server to simplify the process of creating FEDERATED tables:
The following statement will create a FEDERATED server based on the ODBC Driver for Azure Data Lake Storage. Note that the username and password of the FEDERATED server must match a user account you defined on the Users tab of the SQL Gateway.
CREATE SERVER fedADLS FOREIGN DATA WRAPPER mysql OPTIONS (USER 'sql_gateway_user', PASSWORD 'sql_gateway_passwd', HOST 'sql_gateway_host', PORT ####, DATABASE 'CData ADLS Sys');
To create a FEDERATED table using our newly created server, use the CONNECTION keyword and pass the name of the FEDERATED server and the remote table (Resources). Refer to the following template for the statement to create a FEDERATED table:
CREATE TABLE fed_resources ( ..., fullpath TYPE(LEN), permission TYPE(LEN), ..., ) ENGINE=FEDERATED DEFAULT CHARSET=latin1 CONNECTION='fedADLS/resources';
NOTE: The table schema for the FEDERATED table must match the remote table schema exactly. You can always connect directly to the MySQL remoting service using any MySQL client and run a SHOW CREATE TABLE query to get the table schema.
You can now execute queries to the Azure Data Lake Storage FEDERATED tables from any tool that can connect to MySQL, which is particularly useful if you need to JOIN data from a local table with data from Azure Data Lake Storage. Refer to the following example:
SELECT fed_resources.fullpath, local_table.custom_field FROM local_table JOIN fed_resources ON local_table.foreign_fullpath = fed_resources.fullpath;
Download a free trial of the Azure Data Lake Storage ODBC Driver to get started:
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👁 Azure Data Lake Storage IconThe Azure Data Lake Storage ODBC Driver is a powerful tool that allows you to connect with live data from Azure Data Lake Storage, directly from any applications that support ODBC connectivity.
Access Azure Data Lake Storage data like you would a database - read, write, and update Azure Data Lake Storage ADLSData, etc. through a standard ODBC Driver interface.