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    Realtime Compute for Apache Flink:April 22, 2025 Release

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    Realtime Compute for Apache Flink:April 22, 2025 Release

    Last Updated:Mar 25, 2026

    This topic describes the major feature changes and bug fixes in Realtime Compute for Apache Flink released on April 22, 2025.

    Important

    This version is being rolled out gradually. Check the Realtime Compute for Apache Flink console for upgrade announcements. New features are available only after the upgrade is complete for your account. To request an expedited upgrade, submit a ticket.

    Overview

    This release includes five platform updates:

    • Namespace cloning: Copy drafts, catalogs, and other configurations from one namespace to another in the same region — useful for improving resource reusability, reducing development costs, and creating backups to ensure data security and recoverability.

    • Materialized table query modification: Update the query of an existing materialized table to reflect changes in business logic. Manually refresh historical partitions and configure cascading updates to backfill data.

    • CTAS/CDAS SQL draft to YAML draft conversion: When creating a new YAML draft, select an existing SQL draft that uses a CREATE TABLE AS (CTAS) or CREATE DATABASE AS (CDAS) statement. The draft is automatically converted to YAML format. Available as public preview.

    • Scenario-based rule settings for automatic tuning: When using Autopilot's adaptive strategy, set scaling conditions based on your business requirements. Enable or disable specific conditions individually — scaling triggers when any active condition is met.

    • Kerberized Hive cluster access for Flink SQL jobs: Flink SQL jobs can now read from and write to a Kerberized Hive cluster for enhanced security.

    Features

    Feature

    Description

    References

    Namespace cloning

    Copy drafts, catalogs, and other configurations from a source namespace to a target namespace in the same region. Use this feature to reuse assets across environments and create namespace-level backups.

    Clone a namespace

    Converting a CTAS or CDAS SQL draft to a YAML draft

    When creating a new YAML draft, select an SQL draft that contains a CTAS or CDAS statement. The SQL draft is automatically converted to a YAML draft.

    Develop a YAML draft for data ingestion (public preview)

    Scenario-based rule settings for automatic tuning

    When using Autopilot's adaptive strategy, set scaling conditions based on your business requirements. Enable or disable specific conditions individually — scaling triggers when any active condition is met.

    Configure automatic tuning

    Materialized table query modification

    • Modify the query of an existing materialized table to retrieve the latest data based on updated business logic.

    • Manually refresh historical partitions and configure cascading updates to backfill historical data.

    Create and use materialized tables

    Kerberized Hive cluster access

    Flink SQL jobs can now read from and write to a Kerberized Hive cluster for enhanced security.