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databricks Platform · Updated Jul 6, 2026

Standard performance mode is now supported for materialized view or streaming…

Materialized view and streaming table refreshes that are orchestrated through a SQL task in a Lakeflow job now respect the job's Performance optimized setting.

What it does

Materialized view and streaming table refreshes that are orchestrated through a SQL task in a Lakeflow job now respect the job's Performance optimized setting. When the setting is turned off, the refresh uses standard performance mode, which consumes fewer DBUs. You can manually refresh a standalone materialized view or streaming table when you know that the source tables have been updated.

Why it matters

Materialized view and streaming table refreshes that are orchestrated through a SQL task in a Lakeflow job now respect the job's Performance optimized setting.

Recommended use cases
or through the workspace UI.
Architecture
Databricks Platform → Platform
In short

Materialized view and streaming table refreshes that are orchestrated through a SQL task in a Lakeflow job now respect the job's Performance optimized setting. When the setting is turned off, the refresh uses standard performance mode, which consumes fewer…

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Key takeaway
Materialized view and streaming table refreshes that are orchestrated through a SQL task in a Lakeflow job now respect the job's Performance optimized setting.
2026-07-06-6efc9c0b Generated by the Databricks Updates Agent · browse all updates