Query CSV Data in DataGrip

DataGrip is a database IDE that allows SQL developers to query, create, and manage databases. When paired with the CData JDBC Driver for CSV, DataGrip can work with live CSV data. This article shows how to establish a connection to CSV data in DataGrip.

Create a New Driver Definition for CSV

The steps below describe how to create a new Data Source in DataGrip for CSV.

1. In DataGrip, click File -> New > Project and name the project 👁 Creating a new DataGrip project.
   
2. In the Database Explorer, click the plus icon () and select Driver. 👁 Adding a new Driver.
   
3. In the Driver tab:
   • Set Name to a user-friendly name (e.g. "CData CSV Driver")
   • Set Driver Files to the appropriate JAR file. To add the file, click the plus (), select "Add Files," navigate to the "lib" folder in the driver's installation directory and select the JAR file (e.g. cdata.jdbc.csv.jar).
   • Set Class to cdata.jdbc.csv.CSV.jar
4. Click "Apply" then "OK" to save the Connection 👁 A configured Driver (Salesforce is shown).
   

Configure a Connection to CSV

1. Once the connection is saved, click the plus (), then "Data Source" then "CData CSV Driver" to create a new CSV Data Source.
2. In the new window, configure the connection to CSV with a JDBC URL.

   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.

   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.

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

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

4. Click "Apply" and "OK" to save the connection string 👁 A configured Data Source (Salesforce is shown).
   

At this point, you will see the data source in the Data Explorer.

Execute SQL Queries Against CSV

To browse through the CSV entities (available as tables) accessible through the JDBC Driver, expand the Data Source.

To execute queries, right click on any table and select "New" -> "Query Console."

In the Console, write the SQL query you wish to execute. For example:

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

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