Community Blog Deploy and Run Apache Airflow on Alibaba Cloud

Deploy and Run Apache Airflow on Alibaba Cloud

This article is a tutorial on how to run the open-source project Apache Airflow on Alibaba Cloud with ApsaraDB (Alibaba Cloud Database).

This is a tutorial on how to run the open-source project Apache Airflow on Alibaba Cloud with ApsaraDB (Alibaba Cloud Database). We also show a simple data migration task deployed and run in Airflow to migrate data between two databases.

You can access the tutorial artifact, including the deployment script (Terraform), related source code, sample data, and instruction guidance from the Github project.

Please refer to this link for more tutorials related to Alibaba Cloud Database.


Apache Airflow is a platform created by the community to author, schedule, and monitor workflows programmatically.

Airflow requires a database. If you are experimenting and learning Airflow, you can stick with the default SQLite option or single node PostgreSQL built-in Docker edition. We will show the steps of deployment working with Alibaba Cloud Database to enhance the database's high availability behind the Apache Airflow.

Airflow supports PostgreSQL and MySQL. You can use one of the following databases on Alibaba Cloud:

In this tutorial, we will show the case of using RDS PostgreSQL high availability edition to replace the single node PostgreSQL built-in Docker edition for more stable production purposes.

Deployment Architecture:



Step 1. Use Terraform to provision ECS and database on Alibaba Cloud

Run the terraform script to initialize the resources. (In this tutorial, we use RDS PostgreSQL as backend database of Airflow and another RDS PostgreSQL as the demo database showing the data migration via Airflow task, so ECS and 2 RDS PostgreSQL instances are included in the Terraform script.) Please specify the necessary information and region to deploy:


After the Terraform script execution is finished, the ECS and RDS PostgreSQL instances information are listed below:


  • rds_pg_url_airflow_database: The connection URL of the backend database for Airflow
  • rds_pg_url_airflow_demo_database: The connection URL of the demo database using Airflow

The database port for RDS PostgreSQL is 1921 by default.

Step 2. Deploy and setup Airflow on ECS with RDS PostgreSQL

Please log on to ECS with ECS EIP:

ssh root@<ECS_EIP>


Download and execute the script setup.sh via the following commands to setup Airflow on ECS:

cd ~
wget https://raw.githubusercontent.com/alibabacloud-howto/opensource_with_apsaradb/main/apache-airflow/setup.sh
sh setup.sh
cd ~/airflow
mkdir ./dags ./logs ./plugins
echo -e "AIRFLOW_UID=$(id -u)\nAIRFLOW_GID=0" > .env

Edit the downloaded docker-compose.yaml file to set the backend database as the RDS PostgreSQL:

cd ~/airflow
vim docker-compose.yaml

Use the connection string of rds_pg_url_airflow_database in Step 1. Comment on the part related to postgres:


Execute the following command to initialize Airflow docker:

docker-compose up airflow-init


Execute the following command to start Airflow:

docker-compose up


Now, Airflow has started successfully. Please visit the following URL (replace <ECS_EIP> with the EIP of the ECS) to access the Airflow web console:


The default account has the login airflow and the password airflow:


Next, let's move on to the first data migration task on Airflow.

Step 3. Prepare the source and target database for Airflow data migration task demo

Please log on to ECS with ECS EIP in another terminal window:

ssh root@<ECS_EIP>

Download and setup the PostgreSQL client to communicate with the demo database:

cd ~
wget http://mirror.centos.org/centos/8/AppStream/x86_64/os/Packages/compat-openssl10-1.0.2o-3.el8.x86_64.rpm
rpm -i compat-openssl10-1.0.2o-3.el8.x86_64.rpm
wget http://docs-aliyun.cn-hangzhou.oss.aliyun-inc.com/assets/attach/181125/cn_zh/1598426198114/adbpg_client_package.el7.x86_64.tar.gz
tar -xzvf adbpg_client_package.el7.x86_64.tar.gz

Fetch the database DDL and DML SQL files:

cd ~/airflow
wget https://raw.githubusercontent.com/alibabacloud-howto/opensource_with_apsaradb/main/apache-airflow/northwind_ddl.sql
wget https://raw.githubusercontent.com/alibabacloud-howto/opensource_with_apsaradb/main/apache-airflow/northwind_data_source.sql
wget https://raw.githubusercontent.com/alibabacloud-howto/opensource_with_apsaradb/main/apache-airflow/northwind_data_target.sql

There are two databases (source: northwind_source and target: northwind_target) working as the source and target in this data migration demo.

Connect to the demo source database northwind_source, create the tables (northwind_ddl.sql), and load the sample data (northwind_data_source.sql).

Replace <rds_pg_url_airflow_demo_database> with the demo RDS PostgreSQL connection string.

We've set up the demo database account as username demo and password N1cetest.

Execute the following commands for the source database:

cd ~/adbpg_client_package/bin
./psql -h<rds_pg_url_airflow_demo_database> -p1921 -Udemo northwind_source

\i ~/airflow/northwind_ddl.sql
\i ~/airflow/northwind_data_source.sql

select tablename from pg_tables where schemaname='public';
select count(*) from products;
select count(*) from orders;


Execute the following commands for the target database:

./psql -h<rds_pg_url_airflow_demo_database> -p1921 -Udemo northwind_target

\i ~/airflow/northwind_ddl.sql
\i ~/airflow/northwind_data_target.sql

select tablename from pg_tables where schemaname='public';
select count(*) from products;
select count(*) from orders;


We can see that the tables' products and orders in the target database are empty. Later we will use the migration task running in Airflow to migrate data from the source database to the target database.

Step 4. Deploy and run data migration task in Airflow

First, go to the Airflow web console (Admin :arrow_right: Connections) to add database connections to the source and target databases, respectively.


Download and deploy (put it into the dags directory) the migration task python script into Airflow:

cd ~/airflow/dags
wget https://raw.githubusercontent.com/alibabacloud-howto/opensource_with_apsaradb/main/apache-airflow/northwind_migration.py


The DAG task in this demo finds the new product_id and order_id's in database northwind_source and then updates the same product and order tables in database northwind_target with the rows greater than that maximum id. The job is scheduled to run every minute starting on today's date (when you run this demo, please update accordingly.)

The demo airflow DAG python script originated from here. We've done some modifications.

If the task loaded successfully, the DAG task will be shown on the web console.


Since the migration task is running continuously, we can go to the target database and check the migrated data.


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