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databricks Platform · Updated Aug 22, 2025

Enhanced autocomplete for complex data types in notebooks

Notebook autocomplete now supports enhanced suggestions for complex data types including structs, maps, and arrays in SQL cells.

Update Open docs ↗release note ↗
What it does

Notebook autocomplete now supports enhanced suggestions for complex data types including structs, maps, and arrays in SQL cells. Additionally, when referencing common table expressions (CTEs) that use SELECT , autocomplete provides column recommendations based on the underlying table structure. The Databricks notebook and file editor provides keyboard shortcuts, code suggestions and autocomplete, variable inspection, and code folding to help you write and navigate code.

Why it matters

Python type error highlighting: Type checking can improve code quality, readability, and maintainability in Python and PySpark projects.

Key capabilities
On macOS, hold down the
On macOS, hold down the Cmd key and click in each location to add a cursor.
On Windows, hold down the
On Windows, hold down the Ctrl key and click in each location to add a cursor.
On macOS, press Option and
On macOS, press Option and drag to the lower right to capture one or more columns.
On Windows, press Alt and
On Windows, press Alt and drag to the lower right to capture one or more columns.
Architecture
Databricks Platform → Platform
In short

Notebook autocomplete now supports enhanced suggestions for complex data types including structs, maps, and arrays in SQL cells. Additionally, when referencing common table expressions (CTEs) that use SELECT , autocomplete provides column recommendations…

Read the full documentation ↗
Key takeaway
Notebook autocomplete now supports enhanced suggestions for complex data types including structs, maps, and arrays in SQL cells.
2025-08-22-enhanced-autocomplete-for-complex-data-types-in-notebooks Generated by the Databricks Updates Agent · browse all updates