When working with Odoo, performance is something you can’t afford to ignore. As your database grows and more custom features are added, even a small mistake in code or views can slow down the entire system. Slow forms, delayed reports, and unresponsive buttons are usually signs that performance needs attention.
Odoo 19 comes with many improvements, but real performance still depends on how we build our modules. In this article, we’ll look at practical and easy performance optimization tips that actually make a difference in day-to-day Odoo development.
1. Optimize ORM Usage
Odoo’s ORM is powerful, but misuse can easily slow down your system.
• Avoid looping over records and performing search() inside loops.
• Use batch operations (write() on recordsets instead of individual records).
• Prefer search_read() when you only need field values instead of full recordsets.
❌ Bad practice (search inside loop):
✅ Good practice (batch operation):
✅ Use seach_read() when you only need data:
A little care here can drastically reduce unnecessary database calls.
2. Reduce Database Queries
One of the most common performance issues in Odoo is excessive SQL queries.
• Use read_group() for aggregated data instead of manual loops.
• Access related fields directly instead of repeated searches.
• Be careful with relational fields (Many2one,One2many) to avoid N+1 query issues.
❌ Bad approach (manual aggregation):
✅ Use read_group()
Fewer queries mean faster screens and smoother reports.
3. Use Proper Database Indexes
Indexes significantly speed up search operations.
Use index for:
• Fields frequently used in domains or filters
• Foreign keys and reference fields
• Status and date fields used in reporting
If a field is used often in search or filters, add an index.
Use _sql_constraints or _auto=False models carefully when adding indexes.
Proper indexing can drastically reduce load time for large datasets.
4. Efficient Computed Fields
Computed fields can hurt performance if not designed correctly.
• Use store=True when values don’t change frequently.
• Define accurate dependencies using @api.depends
• Avoid complex loops and searches inside compute methods.
Onchange and constraint methods run frequently and can block user actions.
• Keep onchange logic lightweight.
• Avoid database searches inside onchanges.
• Use constraints only for critical validations.
❌ Heavy
✅ Lightweight
Faster form loading and smoother user interaction.
6. Optimize Views and UI
Heavy views directly impact frontend performance.
• Reduce the number of fields in list and kanban views.
• Avoid complex domains in XML views.
• Use pagination instead of loading all records at once.
❌ Heavy list view (too many fields):
✅ Optimized list view:
Clean views improve both speed and usability.
7. Use Caching and Context Wisely
Odoo provides caching mechanisms to avoid repeated computations.
• Use @tools.ormcache for frequently accessed static data.
• Avoid passing large objects in context.
• Clear cache only when necessary
❌ Avoid passing heavy data in context:
✅ Using ORM cache for static data:
Smart caching improves performance without adding complexity.
8. Move Heavy Logic to Background Jobs
Long-running operations should never block user actions.
• Use cron jobs or scheduled actions for heavy processing.
• Avoid complex logic in button click methods.
• Use background processing for imports, reports, and calculations.
❌ Heavy logic in button click:
✅ Move heavy work to cron or background job:
Background processing keeps the system smooth and reliable.
Conclusion
Performance optimization in Odoo 19 is not about one single fix—it’s about following consistent best practices across ORM usage, database design, UI optimization, and background processing. Small improvements in each area can collectively make a huge difference in system speed and stability.
By applying these tips, you can ensure your Odoo 19 applications remain fast, scalable, and pleasant to use as your business grows.
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