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databricks Platform · Updated Mar 17, 2026

Search in metric views fix

Searching for measures and dimensions in the metric view overview page now returns correct results across paginated results and supports filtering by display name.

What it does

Searching for measures and dimensions in the metric view overview page now returns correct results across paginated results and supports filtering by display name. Metric views are the core implementation of Unity Catalog business semantics in Unity Catalog. They provide a centralized way to define and manage business metrics by separating measure definitions from the fields (also called dimensions) used to group, filter, and aggregate them, so you can define metrics once and query them at runtime.

Why it matters

+ Agent metadata in metric views + Add synonyms, display names, and formatting rules to improve AI agent accuracy and display consistent formats across tools.

Key capabilities
Create a metric view
Create a metric view
Define metric views using SQL
Define metric views using SQL DDL or the Catalog Explorer UI, with built-in YAML validation.
Query metric views
Query metric views
Query metric views from SQL
Query metric views from SQL editors, notebooks, dashboards, Genie Agents, and alerts.
Architecture
Databricks Platform → Platform
In short

Searching for measures and dimensions in the metric view overview page now returns correct results across paginated results and supports filtering by display name. Metric views are the core implementation of Unity Catalog business semantics in Unity Catalog.

Read the full documentation ↗
Key takeaway
Searching for measures and dimensions in the metric view overview page now returns correct results across paginated results and supports filtering by display name.
2026-03-17-search-in-metric-views-fix Generated by the Databricks Updates Agent · browse all updates