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The CData JDBC Driver for Slack enables you to access Slack 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 Slack data in IntelliJ.
Follow the steps below to add the driver JAR and define connection properties required to connect to Slack data.
In the Data Source Properties dialog that appears, the following properties are required:
Database URL: Enter the connection URL in the JDBC URL property. The URL must start with jdbc:slack: and includes connection properties separated with semicolons.
Slack uses the OAuth authentication standard. To authenticate using OAuth, create an app to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties. See the Getting Started section of the help documentation for an authentication guide.
For assistance in constructing the JDBC URL, use the connection string designer built into the Slack JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.slack.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:slack:OAuthClientId=MyOAuthClientId;OAuthClientSecret=MyOAuthClientSecret;CallbackURL=http://localhost:33333;InitiateOAuth=GETANDREFRESH;
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.)Download a free trial of the Slack Driver to get started:
Download NowLearn more:
👁 Slack IconRapidly create and deploy powerful Java applications that integrate with Slack.