Releases

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, PyCharm Professional Edition, and DataGrip. The plugin also supports our new data science IDE, DataSpell. In this release, we’ve introduced a number of changes to the user interface, added several features, and fixed a long list of bugs. Let’s take a closer look. Kafka support Producer and consumer management in the Kafka connection tool windowThis allows you to quickly test apps by providing test data or checking the contents of existing topics.You’ll no

We’ve just released a new build of the Big Data Tools plugin that is compatible with the 2021.3 version of IntelliJ IDEA Ultimate, PyCharm Professional, and DataGrip. The plugin also supports our new data science IDE, DataSpell. In this release, we’ve introduced a number of changes to the user interface, added a bunch of features, and fixed a long list of bugs. Let’s take a closer look. (more…)

Recently we released a new build of the Big Data Tools plugin that is compatible with the 2021.3 EAP versions of IntelliJ IDEA Ultimate and PyCharm Professional. DataGrip 2021.3 EAP support will be available immediately after the release in October. The plugin also supports our new data science IDE – JetBrains DataSpell. If you still use previous versions, now is the perfect time to upgrade both your IDE and the plugin.  This year, we introduced a number of new features as well as some features that have been there for a while, for example, running Spark Submit with a run configuration

In recent Big Data Tools releases, we've added a lot of new features, like Kafka support, a New Project wizard, additional Zeppelin settings, improved Python support, and more. We’ve received a lot of requests for us to polish these new additions, and we’ve taken this feedback to heart. This Version is a massive bug-fix release that greatly improves a wide array of features, both new and old. Here’s the full list of all the bugs we’ve fixed and improvements we’ve made: Improved support for symlinked files and folders (BDIDE-1879, BDIDE-1923)Fixed the problem causing strings in Scala code

We released another update of the Big Data Tools plugin recently, and this article is an overview of its new features. The previous release was a momentous event for us as the plugin left the Early Access preview stage and became generally available. Since then, we've received a lot of feedback from you and have started developing features that the community wants. For example, Big Data Tools now has support for Kafka, which can be easily connected in just a few clicks. Let's take a closer look at what has changed in the new release. Kafka monitoring Throughout the year, we conduct

A new update of the Big Data Tools plugin has been released. This is our first version for general use, after a year and a half of the Early Access Preview program. Install the plugin from the JetBrains Plugin Repository or from inside your IDE to edit Zeppelin notebooks, upload files to cloud filesystems, and monitor Hadoop and Spark clusters. The following JetBrains IDEs support the plugin: IntelliJ IDEA Ultimate, PyCharm Professional Edition, and DataGrip. In this release, we’ve added many useful features and addressed a variety of bugs. Let's dive into the details. Zeppelin 0.9 Support

Big Data Tools plugin for version 2021.1 of IntelliJ IDEA Ultimate, PyCharm Professional, and DataGrip has been released. You can install it from the JetBrains Marketplace or from inside your IDE. The plugin allows you to edit Zeppelin notebooks, upload files to cloud filesystems, and monitor Hadoop and Spark clusters. In this release, we've added experimental Python support and global search inside Zeppelin notebooks. We’ve also addressed a variety of bugs. Let's talk about the details.   Experimental and preliminary Python support Although PySpark in Zeppelin is getting a lot of

I am pleased to announce that the EAP of Big Data Tools plugin compatible with IntelliJ IDEA Ultimate 2020.2 is available from today. Our goal was to fix as many problems as possible and improve the plugin from the inside out. In addition to some under-the-hood changes, two visible improvements have been made: With just a couple of mouse clicks, you can enable SSH tunnels to forward ports for Hadoop and Spark connections. Filters and limits in the Applications tab of the Spark Monitoring tool window give you control over how much data is loaded from servers. SSH tunneling The servers we