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DataGrip 2024.2: Text-to-SQL, Scripted Loaders, Improved Search Everywhere, and More!

DataGrip 2024.2 is out!

Here’s a glimpse of what awaits you in the latest version. For a full overview of this update, please visit our What’s New page.

AI Assistant

  • AI Assistant can now generate SQL code right in the editor.
  • AI Assistant can also help you with modifying your database tables in the Modify dialog.
  • You can also use the AI Assistant intention actions to better understand and fix SQL problems.
  • You can now add database schemas to the AI chat simply by mentioning them in your prompt.
  • You can now add files from an attached folder to provide scripts to AI Assistant as context for AI chat.

Working with data

  • You can now import data from your tabular data files. We’ve implemented scripted loaders to enable importing for the following file formats:
    • Excel 
    • JSON 
    • Parquet 
    • Shapefile
  • The Geo Viewer now supports CSV and XLSX files.
  • Navigation to Related Rows and opening web links is now possible via a floating toolbar.
  • Value completion is now automatic.
  • You can now select all values in a column by clicking on the column’s header.

Search Everywhere popup

  • There are now two ways to filter search results by database object type: either by using the filter icon or by using commands.
  • The popup now also includes an option to preview the codebase elements you’re searching for.
  • Working with scopes is now more efficient thanks to the additional data source scope and the improved location of data source scopes at the top of the list.

Connectivity

  • The performance of the Auto sync feature has been improved for SQL Server and Oracle.
  • The built-in IDE macros are now available to use in your connection startup scripts.
  • Non-RSA certificates are now supported for SSL connections.
  • Snowflake Iceberg, dynamic, and hybrid tables are supported.

If you’re interested in upgrading to DataGrip 2024.2, or if you have any questions or suggestions, here are a few links you might find useful:

The DataGrip team

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