![]() Support for Yandex Object Storage, part of Yandex.Cloud.Just right-click on the target server to open the context menu and type a name for the new bucket in the dialog window: The result in the Big Data Tools tool window looks like this: If you leave the field blank, all buckets will be listed.įor example, let’s find all the buckets whose names start with “big-data-”: Multiple filter types are available: Contains, Match, Starts with, and Regex. In the new Connection Settings tab, you can now specify a bucket filter instead of a single bucket name. In big production systems, you may have dozens of buckets, and now you can filter the list instead of creating different S3 connections to each one or scrolling through a long list. This feature allows you to limit your preview to only the buckets that you actually use. Multi-bucket support for S3-like connections (AWS S3, Linode, Digital Ocean Spaces, MinIO, and Yandex Object Storage).Automatic completion is also provided for types and documentation: When Editor is selected, the window will provide automatic completion for the properties as you type them. The new Properties from dropdown allows you to select whether to write all the properties right in the connection settings or load them from an existing file: Advanced Kafka properties configuration.The consumer will run until you click Stop Consuming. To collect the data, click the Add consumer button, pick your topic, format, and date range, and press Start Consuming. Simply fill in all the parameters (like the type of key and value) and click the Produce button. To produce test data, click the Add producer button, which opens a new editor tab. You’ll notice two additional buttons in the Kafka connection tool window: Add producer and Add consumer. This allows you to quickly test apps by providing test data or checking the contents of existing topics. ![]() Producer and consumer management in the Kafka connection tool window.In this release, we’ve introduced a number of changes to the user interface, added several features, and fixed a long list of bugs. The plugin also supports our new data science IDE, DataSpell. We’ve just released a new build of the Big Data Tools plugin that is compatible with the 2021.3 versions of IntelliJ IDEA Ultimate, P圜harm Professional Edition, and DataGrip.
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