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Integrate Databricks data with visual data analysis tools and data connection wizards in DBVisualizer
The CData JDBC Driver for Databricks implements JDBC standards to provide connectivity to Databricks data in applications ranging from business intelligence tools to IDEs. This article shows how to establish a connection to Databricks data in DBVisualizer and use the table editor to edit and save Databricks data.
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 New Driver Definition for Databricks Data
Follow the steps below to use the Driver Manager to provide connectivity to Databricks data from DBVisualizer tools.
- In DBVisualizer, click Tools -> Driver Manager.
- Click the plus sign "" to create a new driver.
- Select "Custom" as the template.
- On the Driver Settings tab:
- Set Name to a user-friendly name (e.g. "CData Databricks Driver")
- Set URL Format to jdbc:databricks:
- In Driver artifacts and jar files (jars are loaded in order from top):
- Click the plus sign "" -> "Add Files"
- Navigate to the "lib" folder in the installation directory (C:\Program Files\CData[product_name] XXXX\)
- Select the JAR file (cdata.jdbc.Databricks.jar) and click "Open"
- The Driver Class should populate automatically. If not, select class (cdata.jdbc.databricks.DatabricksDriver).
Define the Connection to the JDBC Data Source
Close the "Driver Manager" and follow the steps below to save connection properties in the JDBC URL.
- In the "Databases" tab, click the plus sign "" and select the driver you just created.
In the "Connection" section, set the following options:
- Database Type: If you selected the wizard option, the database type is automatically detected. If you selected the "No Wizard" option, select the Generic or Auto Detect option in the Database Type menu.
- Driver Type: Select the driver you just created.
Database URL: Enter the full JDBC URL. The syntax of the JDBC URL is jdbc:databricks: followed by the connection properties in a semicolon-separated list of name-value pairs.
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.
When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.
A typical connection string is below:
jdbc:databricks:Server=127.0.0.1;Port=443;TransportMode=HTTP;HTTPPath=MyHTTPPath;UseSSL=True;User=MyUser;Password=MyPassword;
- NOTE: Database Userid and Database Password correspond with the User and Password properties for Databricks.
- On the Connection tab, click Connect.
To browse through tables exposed by the Databricks JDBC Driver, right-click a table and click "Open in New Tab."
To execute SQL queries, use the SQL Commander tool: Click SQL Commander -> New SQL Commander. Select the Database Connection, Database, and Schema from the available menus.
See the "Supported SQL" chapter in the help documentation for more information on the supported SQL. See the "Data Model" chapter for table-specific information.