Reputation: 106
I need to run dags in parallel but do not need significant scaling, so LocalExecutor can do the job just fine. I looked through the Airflow docs and first created a MySQL database:
CREATE DATABASE airflow_db CHARACTER SET utf8;
CREATE USER <user> IDENTIFIED BY <pass>;
GRANT ALL PRIVILEGES ON airflow_db.* TO <user>;
I then modify the following parameters in the airflow.cfg file:
executor = LocalExecutor
sql_alchemy_conn = mysql+mysqlconnector://<user>:<pass>@localhost:3306/airflow_db
When I run airflow db init, I run into the following error message:
AttributeError: 'MySQLConverter' object has no attribute '_dagruntype_to_mysql'
During handling of the above exception, another exception occurred: TypeError: Python 'dagruntype' cannot be converted to a MySQL type
Please note that nothing else in the airflow.cfg file was altered and that using the default SequentialExecutor with sqlite lets everything run just fine. Also note that I am using Airflow version 2.2.0
Upvotes: 3
Views: 724
Reputation: 106
I found the solution to my own question. Instead of using the mysqlconnector, I used the pymysql driver:
pip install PyMySQL
The airflow.cfg parameters can then be adjusted as follows:
sql_alchemy_conn = mysql+pymysql://<user>:<pass>@localhost:3306/airflow_db
All else can stay the same.
Upvotes: 4