How to Connect DBeaver to CSV via a JDBC Driver

The CData JDBC Driver for CSV 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 CSV data with wizards in DBeaver and browse data in the DBeaver GUI.

Create a JDBC Data Source for CSV Data

Follow the steps below to load the driver JAR in DBeaver.

1. Open the DBeaver application and, in the "Database" menu, select the "Driver Manager" option. Click "New" to open the "Create new driver" form.
2. In the Settings tab:
   • Set Driver Name to a user-friendly name for the driver (e.g. CData JDBC Driver for CSV).
   • Set Class Name to the class name for the JDBC driver: cdata.jdbc.csv.CSVDriver.
   • Set URL Template to jdbc:csv:.
   👁 Configure the new driver settings (Salesforce is shown).
   
3. In the Libraries tab, click "Add File," navigate to the "lib" folder in the installation directory (C:\Program Files\CData[product_name] XXXX\) and select the JAR file (cdata.jdbc.CSV.jar). 👁 Loading the JDBC JAR file (Salesforce is shown).
   

Create a Connection to CSV Data

Follow the steps below to add credentials and other required connection properties.

1. In the "Database" menu, click "New Database Connection."
2. In the "Connect to a database" wizard that results, select the driver you just created (e.g. CData JDBC Driver for CSV) and click "Next >." 👁 Selecting the driver (Salesforce is shown).
   
3. On the Main tab of the configuration wizard, set the JDBC URL, using the required connection properties:

   Connecting to Local or Cloud-Stored (Box, Google Drive, Amazon S3, SharePoint) CSV Files

   CData Drivers let you work with CSV files stored locally and stored in cloud storage services like Box, Amazon S3, Google Drive, or SharePoint, right where they are.

   Setting connection properties for local files

   Set the URI property to local folder path.

   Setting connection properties for files stored in Amazon S3

   To connect to CSV file(s) within Amazon S3, set the URI property to the URI of the Bucket and Folder where the intended CSV files exist. In addition, at least set these properties:

   • AWSAccessKey: AWS Access Key (username)
   • AWSSecretKey: AWS Secret Key

   Setting connection properties for files stored in Box

   To connect to CSV file(s) within Box, set the URI property to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect to Box.

   Dropbox

   To connect to CSV file(s) within Dropbox, set the URI proprerty to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect to Dropbox. Either User Account or Service Account can be used to authenticate.

   SharePoint Online (SOAP)

   To connect to CSV file(s) within SharePoint with SOAP Schema, set the URI proprerty to the URI of the document library that includes the intended CSV file. Set User, Password, and StorageBaseURL.

   SharePoint Online REST

   To connect to CSV file(s) within SharePoint with REST Schema, set the URI proprerty to the URI of the document library that includes the intended CSV file. StorageBaseURL is optional. If not set, the driver will use the root drive. OAuth is used to authenticate.

   Google Drive

   To connect to CSV file(s) within Google Drive, set the URI property to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect and set InitiateOAuth to GETANDREFRESH.

   Built-in Connection String Designer

   For assistance in constructing the JDBC URL, use the connection string designer built into the CSV JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

   java -jar cdata.jdbc.csv.jar
   

   Fill in the connection properties and copy the connection string to the clipboard.

   👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
   

   Below is a typical connection string:

   jdbc:csv:URI=/PATH/TO/MyCSVFilesFolder;
   

   👁 Configuring the JDBC URL (Salesforce is shown).
   
4. Click "Test Connection ..." to ensure you have configured the connection properly. 👁 A successfully configured connection (Salesforce is shown).
   
5. Click "Finish."

Query CSV Data

You can now query information from the tables exposed by the connection: Right-click a Table and then click View Table. The data is available on the Data tab.

👁 The results of a query in DBeaver. (Salesforce is shown.)

More Information & Free Trial

Download a free, 30-day trial of the CData JDBC Driver for CSV and start working with your live CSV data in DBeaver. Join the CData Community or reach out to our Support Team if you have any questions.