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databricks Platform · Updated Jun 11, 2025

AUTO CDC APIs replace APPLY CHANGES

The new AUTO CDC APIs create flows that support change data feeds (CDF) in Lakeflow Spark Declarative Pipelines.

What it does

The new AUTO CDC APIs create flows that support change data feeds (CDF) in Lakeflow Spark Declarative Pipelines. Databricks recommends replacing usage of APPLY CHANGES APIs with AUTO CDC. For information about the SQL AUTO CDC API, see: AUTO CDC INTO (pipelines) For information about the Python create auto cdc flow APIs, see create\ auto\ cdc\ flow create\ auto\ cdc\ from\ snapshot\ flow The create auto cdc from snapshot flow function creates a flow that uses Lakeflow Spark Declarative Pipelines change data capture (CDC) functionality to process source data from database snapshots.

Why it matters

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

Architecture
Databricks Platform → Platform
In short

The new AUTO CDC APIs create flows that support change data feeds (CDF) in Lakeflow Spark Declarative Pipelines. Databricks recommends replacing usage of APPLY CHANGES APIs with AUTO CDC.

Read the full documentation ↗
Key takeaway
The new AUTO CDC APIs create flows that support change data feeds (CDF) in Lakeflow Spark Declarative Pipelines.
2025-06-11-auto-cdc-apis-replace-apply-changes Generated by the Databricks Updates Agent · browse all updates