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databricks Platform · Updated Aug 5, 2026

Window measures on a numeric index column in metric views

Window measures in metric views support a unitless numeric offset and numeric trailing and leading ranges on a consecutive integer order column.

Update Open docs ↗release note ↗
What it does

Window measures in metric views support a unitless numeric offset and numeric trailing and leading ranges on a consecutive integer order column. Use a numeric index to compare along a business period that is not a calendar date, such as a fiscal week or a 4 4 5 accounting period. Advanced techniques for metric views let you express complex business logic and reuse definitions across your semantic layer.

Why it matters

Reduces operational overhead and unlocks new capabilities for data teams on Databricks.

Key capabilities
name: date expr: oorderdate
name: date expr: oorderdate
name: t7dcustomers expr: COUNT(DISTINCT ocustkey)
name: t7dcustomers expr: COUNT(DISTINCT ocustkey)
order: date range: trailing 7
order: date range: trailing 7 day semiadditive: last
name: date expr: oorderdate
name: date expr: oorderdate
Architecture
Databricks Platform → Platform
In short

Window measures in metric views support a unitless numeric offset and numeric trailing and leading ranges on a consecutive integer order column. Use a numeric index to compare along a business period that is not a calendar date, such as a fiscal week or a 4…

Read the full documentation ↗
Key takeaway
Window measures in metric views support a unitless numeric offset and numeric trailing and leading ranges on a consecutive integer order column.
2026-08-05-window-measures-on-a-numeric-index-column-in-metric-views Generated by the Databricks Updates Agent · browse all updates