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DataGrip is a database IDE that allows SQL developers to query, create, and manage databases. When paired with the CData JDBC Driver for Slack, DataGrip can work with live Slack data. This article shows how to establish a connection to Slack data in DataGrip and use the table editor to load Slack data.
The steps below describe how to create a new Data Source in DataGrip for Slack.
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.
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. π Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)jdbc:slack:OAuthClientId=MyOAuthClientId;OAuthClientSecret=MyOAuthClientSecret;CallbackURL=http://localhost:33333;InitiateOAuth=GETANDREFRESH;
At this point, you will see the data source in the Data Explorer.
To browse through the Slack entities (available as tables) accessible through the JDBC Driver, expand the Data Source.
π Exploring the data (Salesforce is shown.)To execute queries, right click on any table and select "New" -> "Query Console."
π Opening a new Query Console.In the Console, write the SQL query you wish to execute. For example:
SELECT Id, Name FROM Channelsπ Querying with SQL (Salesforce is shown.)
Download a free, 30-day trial of the CData JDBC Driver for Slack and start working with your live Slack data in DataGrip. Reach out to our Support Team if you have any questions.
Download a free trial of the Slack Driver to get started:
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