Manage CSV Data in DBArtisan as a JDBC Source
The CData JDBC Driver for CSV seamlessly integrates CSV data into database management tools like DBArtisan by enabling you to access CSV data as a database. This article shows how to create a JDBC source for CSV in DBArtisan. You can then edit data visually and execute standard SQL.
Integrate CSV Data into DBArtisan Projects
Follow the steps below to register CSV data as a database instance in your project:
- In DBArtisan, click Data Source -> Register Datasource.
- Select Generic JDBC.
- Click Manage.
- In the resulting dialog, click New. Enter a name for the driver and click Add. In the resulting dialog, navigate to the driver JAR. The driver JAR is located in the lib subfolder of the installation directory.
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In the Connection URL box, enter credentials and other required connection properties in 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.jarFill in the connection properties and copy the connection string to the clipboard.
Below is a typical connection string:
jdbc:csv:URI=/PATH/TO/MyCSVFilesFolder; - Finish the wizard to connect to CSV data. CSV entities are displayed in the Datasource Explorer.
You can now work with CSV data as you work with any other database. See the driver help documentation for more information on the queries supported by the CSV API.