This release introduces queue management, Workflows (public preview), and scripts. Using the Apache Paimon connector, you can build a complete streaming lakehouse for both batch and streaming storage and computing.
Important
This release is being rolled out as a canary release. If the new features are not available in your account, the upgrade has not reached you yet. To check the rollout schedule, view the announcement on the right side of the Realtime Compute for Apache Flink console homepage. To request an early upgrade, submit a ticket.
New features
| Feature | Description | References |
|---|---|---|
| Queue management | Assign tasks with different workloads to separate queues to isolate resources, improve resource utilization, and make sure high-priority deployments have enough resources. | Manage queues |
| Workflows (public preview) | Schedule batch deployments through a graphical user interface (GUI) to build a data warehouse and unify development, scheduling, deployment, and O&M in the Realtime Compute for Apache Flink console. | Workflows (public preview) |
| Scripts | Write DDL, DQL, and DML statements in a single script to create and manage catalogs and tables, query data, manage data, and manage Apache Paimon tables. | None |