Connect to CSV Data in NetBeans

The CData JDBC Driver for CSV integrates connectivity to live CSV 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 CSV data in NetBeans. You will create a connection and load CSV data in the Table Editor.

Create a JDBC Data Source for CSV 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.csv.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.csv.CSVDriver from the menu.
• Name: Enter the name for the driver.

Define Connection Parameters

Follow the steps below to define required connection properties:

1. In the Service window, right-click the Database node and click New Connection.

2. In the New Connection Wizard, enter the following connection properties:

   • Driver Name: In the menu, select the CData JDBC Driver for CSV.
   • 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.

     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.)
     

     A typical JDBC URL is the following:

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

Query CSV Data

To connect to CSV 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..