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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 Amazon Redshift, DataGrip can work with live Redshift data. This article shows how to establish a connection to Redshift data in DataGrip and use the table editor to load Redshift data.
The steps below describe how to create a new Data Source in DataGrip for Redshift.
For assistance in constructing the JDBC URL, use the connection string designer built into the Redshift JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.redshift.jar
Fill in the connection properties and copy the connection string to the clipboard.
To connect to Redshift, set the following:
You can obtain the and values in the AWS Management Console:
jdbc:redshift:User=admin;Password=admin;Database=dev;Server=examplecluster.my.us-west-2.redshift.amazonaws.com;Port=5439;
At this point, you will see the data source in the Data Explorer.
To browse through the Redshift 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 ShipName, ShipCity FROM Ordersπ Querying with SQL (Salesforce is shown.)
Download a free, 30-day trial of the CData JDBC Driver for Amazon Redshift and start working with your live Redshift data in DataGrip. Reach out to our Support Team if you have any questions.
Download a free trial of the Amazon Redshift Driver to get started:
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π Amazon Redshift IconRapidly create and deploy powerful Java applications that integrate with Amazon Redshift data.