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Tag Archives: Database Tools
As you know, IntelliJ IDEA provides built-in database tools with support for many SQL dialects, such as Oracle, PostgreSQL, MySQL, Microsoft SQL Server and others. A while ago we shared this video with a quick overview of how to set … Continue reading
There are many little things in database and SQL area that got attention in yesterday’s IntelliJ IDEA 11 release but now I just want to highlight the major ones. Data Sources view got a new look and now includes stored … Continue reading
We at JetBrains know how important it is to track what has been changed in your project from one version or revision to another. This is why IntelliJ IDEA 10.5 brings you new Diff Tools for comparing local directories, DB … Continue reading
IntelliJ IDEA X features a simple database table editor and viewer. You can add and remove rows, sort by specific column and choose columns to display just by pressing F4 on a table in the Data Sources view. If you … Continue reading
In IntelliJ IDEA 10 a new JPA Console is added to existing Hibernate and Database consoles. Now you can run and test your JPA queries in a target environment of your application. Both Hibernate and JPA consoles are available if … Continue reading
The latest IntelliJ IDEA 9.0.2 EAP contains a big number of Database-related functionality changes: Database Console now has its own toolwindow New console-like UI that keeps input and output in one place and retains the highlighting for execution history Keyboard … Continue reading
Since IntelliJ IDEA 9.0.2 Database Diagram supports drag-and-drop for adding more tables to the view. The screenshot below shows the way to access the diagram if you somehow missed the What’s New in 9.0 page. You can try this right … Continue reading
Maia release is closing in, and yet we have not run out of useful features to announce. Next EAP brings you a long-awaited support of PostgreSQL dialect. Just as with all others, you can set it at project, folder, or … Continue reading
In Maia the Show Parameter Info action (Ctrl+P) is available in SQL function calls and value expressions.