Tested and verified for MS Windows, Linux and Mac OS X. Install: Windows installer – run installer executable. It will automatically upgrade version (if needed). MacOS DMG – just run it and drag-n-drop DBeaver into Applications. Debian package – run sudo dpkg -i dbeaver.deb.Then execute “dbeaver. Creating and Managing Database Connections with DBeaver. This topic explains how to work with the DBeaver plugin to create and manage databases in Zend Studio. DBeaver supports any database which has JDBC driver, and may handle any external data source which may or may not have a JDBC driver.
The CData JDBC Driver for Spark implements JDBC standards that enable third-party tools to interoperate, from wizards in IDEs to business intelligence tools. This article shows how to connect to Spark data with wizards in DBeaver and browse data in the DBeaver GUI.
Create a JDBC Data Source for Spark Data
Dbeaver Spark Jdbc
Follow the steps below to load the driver JAR in DBeaver.
- Open the DBeaver application and, in the Databases menu, select the Driver Manager option. Click New to open the Create New Driver form.
- In the Driver Name box, enter a user-friendly name for the driver.
- To add the .jar, click Add File.
- In the create new driver dialog that appears, select the cdata.jdbc.sparksql.jar file, located in the lib subfolder of the installation directory.
- Click the Find Class button and select the SparkSQLDriver class from the results. This will automatically fill the Class Name field at the top of the form. The class name for the driver is cdata.jdbc.sparksql.SparkSQLDriver.
- Add jdbc:sparksql: in the URL Template field.
Create a Connection to Spark Data
Follow the steps below to add credentials and other required connection properties.
Dbeaver Spark Thrift Server
- In the Databases menu, click New Connection.
- In the Create new connection wizard that results, select the driver.
- On the next page of the wizard, click the driver properties tab.
Enter values for authentication credentials and other properties required to connect to Spark.
Set the Server, Database, User, and Password connection properties to connect to SparkSQL.
Built-in Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the Spark JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.sparksql.jar
Fill in the connection properties and copy the connection string to the clipboard.
Below is a typical connection string:
jdbc:sparksql:Server=127.0.0.1;
Dbeaver Spark Driver
Query Spark Data
Dbeaver Spark Plug
You can now query information from the tables exposed by the connection: Right-click a Table and then click Edit Table. The data is available on the Data tab.