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Performance Issues in Odoo ORM & Notification System – Suggestions for Improvement

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Achyut

Hello Odoo Community,

I have noticed some performance challenges in Odoo, particularly with the ORM and the notification system, which seem to be impacting scalability. I would appreciate insights or suggestions on how to handle these issues more efficiently. Here are the key concerns:

  • Scalability of Notification System:
    • The current notification system in Odoo processes data sequentially, one after another.
    • This design causes significant delays, especially when sending bulk notifications, such as emails.
    • Instead of processing each notification one by one, a more scalable approach would be to collect data and process and update in bulk, potentially reducing the time taken significantly.
  • ORM Performance in Bulk Operations:
    • The ORM in Odoo is not optimized for bulk operations.
    • Performing operations one record at a time (e.g., sending thousands of emails or inserting/updating data in the database) makes the system slow and inefficient.
    • In Python, it is easy to write efficient code that sends thousands of emails or saves data in bulk using batch operations, but Odoo seems to lack this efficiency out of the box.
  • Impact on Application Speed:
    • When using the ORM for bulk insertions or updates, the app becomes noticeably slow due to the use of single-query transactions.
    • This is especially problematic when handling large datasets or notifications (emails, messages) in bulk.

My Request:

  • If I'm mistaken in my understanding, could someone please clarify or offer solutions to overcome these challenges?
  • Are there recommended best practices to optimize the Odoo ORM for bulk operations?
  • What improvements can be made to the notification system for better performance and scalability?

Looking forward to your feedback and suggestions!

Thank you.

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