How to connect to CSV Data with Squirrel SQL client

The CData JDBC Driver for CSV enables you to execute queries to CSV data in tools like Squirrel SQL Client. In this article, you will create a JDBC data source for CSV data and execute queries.

Add the JDBC Driver for CSV

Follow the steps below to add the driver JAR.

1. In Squirrel SQL, click Windows -> View Drivers.
2. Click the plus icon to open the Add Driver wizard.
3. In the Name box, enter a user-friendly name for the driver; for example, CData JDBC Driver for CSV.
4. In the Example URL box, enter jdbc:csv:
5. In the Extra Class Path tab, click Add.
6. In the file explorer dialog that opens, select the JAR file for the driver, located in the lib subfolder of the installation directory.
7. Click List Drivers to populate the Class Name menu with the class name for the driver, cdata.jdbc.csv.CSVDriver.

Define Connection Properties

Follow the steps below to save connection properties in the driver alias.

1. Click Windows -> View Aliases.
2. In the pane that lists the aliases, click the plus icon.

3. In the Add Alias wizard that opens, the following fields are required for the JDBC driver:

   • Name: Enter a name for the alias; for example, CData CSV Source.
   • Driver: Select the CData JDBC Driver for CSV.
   • URL: Enter jdbc:csv:
   
4. If you want to define any additional properties, click Properties.
5. In the Driver properties tab of the dialog that appears, select the Use driver properties checkbox.
6. In the Specify column, select the checkboxes for 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.

   Below is a typical connection string:

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

   
7. In the dialog that appears after you click OK, click connect to test the connection.

Discover Schemas and Query CSV Data

After the metadata has loaded, a new tab for the CSV data source is displayed. On the Objects subtab, you can discover schema information, such as the available tables and views.

To view table data, select the table on the Objects tab. The table data is then loaded in a grid on the Content tab.

To execute an SQL query, enter the query on the SQL tab and then click Run SQL (the runner icon). For example:

SELECT City, SUM(TotalDue) FROM Customer GROUP BY City