MeiK created AIRFLOW-5096:
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Summary: reduce the number of times the pickle is inserted into
the database by modifying the hash field of Dag
Key: AIRFLOW-5096
URL: https://issues.apache.org/jira/browse/AIRFLOW-5096
Project: Apache Airflow
Issue Type: Improvement
Components: DAG
Affects Versions: 1.10.3
Reporter: MeiK
Assignee: MeiK
After the scheduler has the --do_pickle option turned on, the scheduler will
insert all the file pickles into the database each time it scans the file,
which will cause the database to swell rapidly.
In my opinion, the main reason is because the hash function that determines
whether the dag is the same as the pickle version uses the last_loaded field,
which changes every time it is read instead of modified. Therefore, airflow
inserts a large amount of unchanging data into the database.
I created a commit in which the last modified time of the file was used instead
of last_loaded as the hash field, which works fine on my computer. Please let
me know if you have a better way.
English is not my native language; please excuse typing errors.
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