Getting Started with Azure Data Lake Storage JDBC Driver

Working with the new Azure Data Lake Storage JDBC Driver is easy. As a 100% pure Java JDBC Driver, the Azure Data Lake Storage Driver integrates seamlessly with popular IDEs like Eclipse, IntelliJ and NetBeans, as well as any Java/J2EE application.

Eclipse Integration - Data Explorer

As a JDBC Driver, Azure Data Lake Storage JDBC Driver can be used to access and explore Azure Data Lake Storage data directly from the Data Source Explorers included in popular java IDEs.

Enterprise-Class Remoting

MySQL/SQL Database entry points for Azure Data Lake Storage Data

The CData JDBC drivers include powerful fully-integrated remoting capabilities that makes Azure Data Lake Storage accessible from virtually anywhere. The drivers include the optional ability to accept incoming SQL and MySQL client connections and service standard database requests.

With the CData JDBC drivers, users can interact with Azure Data Lake Storage data from any client that supports SQL Server or MySQL: from web & mobile applications, to CRM and CMS systems, BI tools like SQL Server Analysis Services, and even through popular management applications like MySQL Workbench.

• Access Azure Data Lake Storage from virtually any application that can access external data. Applications that can access SQL Server or MySQL data can now connect to Azure Data Lake Storage with this driver.
• Connect Azure Data Lake Storage with popular BI tools like SQL Server Analysis Services.
• Enable enterprise Azure Data Lake Storage integration through SQL Linked Server connectivity
• Includes support for the MySQL and SQL (TDS) remote access protocols - industry standards for remote database connectivity.
• Offers advanced wire-protocol SSL security for remote connectivity

Enterprise-class JDBC Connectivity

The Azure Data Lake Storage JDBC Driver offers the most natural way to access Azure Data Lake Storage data from any Java/J2EE application. Simply use the Azure Data Lake Storage Driver to connect and access data just as you would access any traditional database. The driver is completely self-contained - no additional software installation is required!

Azure Data Lake Storage Integration

The Azure Data Lake Storage Driver has the same JDBC architecture as the JDBC drivers for MySQL and OLEDB, including Connection, Statement and ResultSet objects. Because of this you can now access Azure Data Lake Storage data in an easy, familiar way. You can use the Azure Data Lake Storage Driver through popular IDEs (Eclipse, IntelliJ, NetBeans, etc.), in code through familiar classes, and in data controls available through Swing, Eclipse SWT Widgets, etc.

For example:

Connection conn =
	DriverManager.getConnection("jdbc:azuredatalakestorage:user=myuseraccount;password=mypassword;");

boolean ret = stat.execute("SELECT * FROM ADLSData");
ResultSet rs=stat.getResultSet();
while(rs.next()){
  for(int i=1;i<=rs.getMetaData().getColumnCount();i++)
  {
    System.out.println(rs.getMetaData().getColumnName(i) +"="+rs.getString(i));
  }
}