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Connect to Databricks data in NetBeans with the data source configuration wizard.
The CData JDBC Driver for Databricks integrates connectivity to live Databricks data in IDEs that support JDBC. The JDBC standard enables you to use built-in data access wizards and other tools supporting rapid development. This article shows how to connect to Databricks data in NetBeans. You will create a connection and edit and save Databricks data in the Table Editor.
About Databricks Data Integration
Accessing and integrating live data from Databricks has never been easier with CData. Customers rely on CData connectivity to:
- Access all versions of Databricks from Runtime Versions 9.1 - 13.X to both the Pro and Classic Databricks SQL versions.
- Leave Databricks in their preferred environment thanks to compatibility with any hosting solution.
- Secure authenticate in a variety of ways, including personal access token, Azure Service Principal, and Azure AD.
- Upload data to Databricks using Databricks File System, Azure Blog Storage, and AWS S3 Storage.
While many customers are using CData's solutions to migrate data from different systems into their Databricks data lakehouse, several customers use our live connectivity solutions to federate connectivity between their databases and Databricks. These customers are using SQL Server Linked Servers or Polybase to get live access to Databricks from within their existing RDBMs.
Read more about common Databricks use-cases and how CData's solutions help solve data problems in our blog: What is Databricks Used For? 6 Use Cases.
Getting Started
Create a JDBC Data Source for Databricks in NetBeans
To create the JDBC data source, expand the Database node in the Service window, right-click the Drivers node, and select New Driver. In the New Driver wizard that results, enter the following information:
- Driver File(s): Click Add and, in the file explorer dialog that appears, select the cdata.jdbc.databricks.jar file. The driver JAR is located in the lib subfolder of the installation directory.
- Driver Class: Click Find to search for the driver class inside the JAR. Then select cdata.jdbc.databricks.DatabricksDriver from the menu.
- Name: Enter the name for the driver.
Define Connection Parameters
Follow the steps below to define required connection properties:
In the Service window, right-click the Database node and click New Connection.
In the New Connection Wizard, enter the following connection properties:
- Driver Name: In the menu, select the CData JDBC Driver for Databricks.
- User Name: Enter the username. This can also be defined in the JDBC URL.
- Password: Enter the password. This can also be defined in the JDBC URL.
JDBC URL: Specify the JDBC URL.
To connect to a Databricks cluster, set the properties as described below.
Note: The needed values can be found in your Databricks instance by navigating to Clusters, and selecting the desired cluster, and selecting the JDBC/ODBC tab under Advanced Options.
- Server: Set to the Server Hostname of your Databricks cluster.
- HTTPPath: Set to the HTTP Path of your Databricks cluster.
- Token: Set to your personal access token (this value can be obtained by navigating to the User Settings page of your Databricks instance and selecting the Access Tokens tab).
Built-in Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the Databricks JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.databricks.jar
Fill in the connection properties and copy the connection string to the clipboard.
A typical JDBC URL is the following:
jdbc:databricks:Server=127.0.0.1;Port=443;TransportMode=HTTP;HTTPPath=MyHTTPPath;UseSSL=True;User=MyUser;Password=MyPassword;
Query Databricks Data
To connect to Databricks data, right-click the connection in the Database node and click Connect. After the connection is established, you can expand it to discover schema information.
To load a table in the Data Views window, right-click the table and then click View Data. You can also insert, update, or delete records in the Data Views window.