VOOZH about

URL: https://www.cdata.com/kb/tech/snowflake-jdbc-intellij.rst

⇱ How to connect to Snowflake Data from IntelliJ

How to connect to Snowflake Data from IntelliJ

👁 Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Integrate connectivity to Snowflake data with wizards in IntelliJ.

The CData JDBC Driver for Snowflake enables you to access Snowflake as a JDBC data source, providing integration with rapid development tools in IDEs. This article shows how to use the data source configuration wizard to connect to Snowflake data in IntelliJ.

About Snowflake Data Integration

CData simplifies access and integration of live Snowflake data. Our customers leverage CData connectivity to:

  • Reads and write Snowflake data quickly and efficiently.
  • Dynamically obtain metadata for the specified Warehouse, Database, and Schema.
  • Authenticate in a variety of ways, including OAuth, OKTA, Azure AD, Azure Managed Service Identity, PingFederate, private key, and more.

Many CData users use CData solutions to access Snowflake from their preferred tools and applications, and replicate data from their disparate systems into Snowflake for comprehensive warehousing and analytics.

For more information on integrating Snowflake with CData solutions, refer to our blog: https://www.cdata.com/blog/snowflake-integrations.


Getting Started


Create a JBDC Data Source for Snowflake

Follow the steps below to add the driver JAR and define connection properties required to connect to Snowflake data.

  1. In the Data Sources window, right-click and then click Add Data Source -> DB Data Source.

  2. In the Data Source Properties dialog that appears, the following properties are required:

    • JDBC Driver Files: Click the button next to this menu to add the JDBC Driver file cdata.jdbc.snowflake.jar, located in the installation directory.
    • JDBC Driver Class: In this menu, select cdata.jdbc.snowflake.SnowflakeDriver from the list.

    • Database URL: Enter the connection URL in the JDBC URL property. The URL must start with jdbc:snowflake: and includes connection properties separated with semicolons.

      To connect to Snowflake:

      1. Set User and Password to your Snowflake credentials and set the AuthScheme property to PASSWORD or OKTA.
      2. Set URL to the URL of the Snowflake instance (i.e.: https://myaccount.snowflakecomputing.com).
      3. Set Warehouse to the Snowflake warehouse.
      4. (Optional) Set Account to your Snowflake account if your URL does not conform to the format above.
      5. (Optional) Set Database and Schema to restrict the tables and views exposed.
      6. (Optional) If MFA is enabled on your Snowflake account (via Duo Security), set MFACode to the passcode generated by your Duo authenticator app.

      See the Getting Started guide in the CData driver documentation for more information.

      Built-in Connection String Designer

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

      java -jar cdata.jdbc.snowflake.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:snowflake:Authscheme=Password;URL=https://myaccount.snowflakecomputing.com;User=Admin;Password=test123;Server=localhost;Database=Northwind;Warehouse=TestWarehouse;Account=Tester1;MFACode=YourMFACode
👁 The JDBC data source. (Salesforce is shown.)

Edit and Save Snowflake Data

To discover schema information, right-click the data source you just created and click Refresh Tables. To query a table, right-click it and then click Open Tables Editor. You can also modify records in the Table Editor.

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