Once you fill in the settings, click Test connection to ensure that all configuration parameters are correct. Go back to your IDE and paste the copied properties into the Configuration field. In the Copy the configuration snippet for your clients block, provide Kafka API keys and click Copy. On the right side of the page, click the settings menu, select Environments, and select your cluster, and then select Clients | Java. In the Configuration source list, select Cloud, and then, in the Provider list, select Confluent. In the Name field, enter the name of the connection to distinguish it between other connections. ![]() Open the Kafka tool window: View | Tool Windows | Kafka. Connect to Kafka Connect to Kafka using cloud providers Alternatively, if the Remote File Systems or Zeppelin plugin is installed and enabled, you can also access Kafka connections using the Big Data Tools tool window ( View | Tool Windows | Big Data Tools). If the Kafka plugin is installed and enabled, you can use the Kafka tool window ( View | Tool Windows | Kafka) to connect to Kafka and work with it. Kafka cluster using configuration properties It facilitates integration with big data tools - for example, it lets you share MFA and OAuth 2.0 data between AWS Glue authentication in Kafka schema registry and other AWS connections (such as AWS S3, AWS EMR, or AWS Glue monitoring). If you install the Kafka plugin, the Big Data Tools Core auxiliary plugin is also installed automatically. Open the Marketplace tab, find the Kafka plugin, and click Install (restart the IDE if prompted). Press Control+Alt+S to open the IDE settings and then select Plugins. This functionality relies on the Kafka plugin, which you need to install and enable. If you used Big Data Tools in 2023.1 or before, then after updating DataGrip to 2023.3, you will have all these new plugins automatically installed, including Kafka. In DataGrip 2023.3, the plugin was divided into six plugins. ![]() Prior to DataGrip 2023.3, Kafka was a part of the Big Data Tools plugin. It also lets you connect to Schema Registry, create and update schemas. The Kafka plugin lets you monitor your Kafka event streaming processes, create consumers, producers, and topics.
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