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    Data Management:DMS Airflow

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    Data Management:DMS Airflow

    Last Updated:Jun 02, 2026

    Airflow is an open-source workflow orchestration tool for big data scenarios. It supports DAG-based scheduling, job development, and batch processing monitoring. You define workflows in Python and integrate with external systems through plugins.

    Use cases

    • Orchestrate data development tasks in DMS, such as SQL scripts and data cleansing.

    • Schedule Spark batch processing in AnalyticDB for MySQL.

    • Schedule data integration tasks in DTS.

    Supported regions and zones

    Region

    Zone

    Name

    ID

    Name

    ID

    China (Hangzhou)

    cn-hangzhou

    Zone B

    cn-hangzhou-b

    Zone E

    cn-hangzhou-e

    Zone F

    cn-hangzhou-f

    Zone G

    cn-hangzhou-g

    Zone H (Recommended)

    cn-hangzhou-h

    Zone I (Recommended)

    cn-hangzhou-i

    Zone J (Recommended)

    cn-hangzhou-j

    Zone K

    cn-hangzhou-k

    China (Shanghai)

    cn-shanghai

    Zone A

    cn-shanghai-a

    Zone B

    cn-shanghai-b

    Zone C

    cn-shanghai-c

    Zone D

    cn-shanghai-d

    Zone E

    cn-shanghai-e

    Zone F

    cn-shanghai-f

    Zone G

    cn-shanghai-g

    Zone K

    cn-shanghai-k

    Zone L (Recommended)

    cn-shanghai-l

    Zone M (Recommended)

    cn-shanghai-m

    Zone N (Recommended)

    cn-shanghai-n

    China (Beijing)

    cn-beijing

    Zone C

    cn-beijing-c

    Zone D

    cn-beijing-d

    Zone E

    cn-beijing-e

    Zone F

    cn-beijing-f

    Zone G

    cn-beijing-g

    Zone H (Recommended)

    cn-beijing-h

    Zone I (Recommended)

    cn-beijing-i

    Zone J (Recommended)

    cn-beijing-j

    Zone K

    cn-beijing-k

    Zone L

    cn-beijing-l

    China (Shenzhen)

    cn-shenzhen

    Zone A

    cn-shenzhen-a

    Zone B

    cn-shenzhen-b

    Zone C

    cn-shenzhen-c

    Zone D (Recommended)

    cn-shenzhen-d

    Zone E (Recommended)

    cn-shenzhen-e

    Zone F (Recommended)

    cn-shenzhen-f

    Singapore

    ap-southeast-1

    Zone A

    ap-southeast-1a

    Zone B

    ap-southeast-1b

    Zone C

    ap-southeast-1c

    Indonesia (Jakarta)

    ap-southeast-5

    Zone A

    ap-southeast-5a

    Zone B

    ap-southeast-5b

    Zone C

    ap-southeast-5c

    Billing

    Airflow instance fees are based on the Workflow Specifications (number of CUs). Unit prices are shown on the Configure Resources page.

    Get started

    1. Prepare resources for Airflow.

      Prepare OSS resources and enable internet access for Airflow.

    2. Create an Airflow instance.

    3. Create a linked Git account.

      A linked Git account isolates your code repository operations from other users in the same workspace, including Alibaba Cloud accounts and RAM users.

    4. Create a code repository.

      Store and manage DAG files in a Git or other version control repository.

    5. Develop code.

      Edit and publish code in the repository.

    6. View Airflow execution status.

      Monitor DAG scheduling and batch processing in the Airflow workspace.