Your Odoo Is Slow — and This One Pattern Is Probably Why

“Which ORM method is the fastest?”

search() or search_read()?

browse() or read()?

Maybe sudo() makes it faster?

👉 The truth:

​There is no “fast ORM method.”

​There are only fast patterns and dangerous ones.

And one bad pattern can silently destroy your project’s performance.


❌ The Mistake: Repeating ORM Calls in Loops


This is a very common anti-pattern:

for partner in partners: self.env['sale.order'].search([ ('partner_id', '=', partner.id) ])

What’s wrong here?

  • One database query per partner
  • 100 partners = 100 SQL queries
  • 1,000 partners =  performance nightmare

This is how small customizations turn into slow systems, angry users, and “Odoo is slow” complaints.

✅ The Fix: Think in Sets, Not Rows

The correct pattern:

self.env['sale.order'].search([ ('partner_id', 'in', partners.ids) ])

Why this is fast:

  • Single SQL query
  • ✅ PostgreSQL does the heavy lifting
  • ✅ Minimal ORM overhead
  • ✅ Scales cleanly as data grows

Same result.

Massive performance difference.

ORM Performance Rules Every Odoo Developer Must Follow


✔ Use browse() When You Already Have IDs

If you already know the record IDs, don’t search again.

records = self.env['model'].browse(ids)

Searching again wastes time and database resources.

✔ Let PostgreSQL Filter Data, Not Python

Bad idea:

records = self.env['sale.order'].search([]) records = records.filtered(lambda r: r.state == 'sale')

Better:

records = self.env['sale.order'].search([ ('state', '=', 'sale') ])

👉 Databases are built to filter data.

👉 Python loops are not.

✔ Avoid Unnecessary sudo()

Using sudo() everywhere:

  • Bypasses record rules
  • Increases risk
  • Can load more data than needed

Use it only when required, not as a habit.

Odoo performance problems are rarely about:

  • ORM being slow
  • PostgreSQL being weak
  • Server configuration (at first)

They are usually about Wrong ORM patterns

Think in:

  • Batches, not loops
  • Sets, not single records
  • Queries, not Python filtering

Good Odoo code doesn’t just work — it scales.

If your code works only with 100 records but breaks at 100,000,

it’s not production-ready.

Write once.

Write smart.

Let Odoo and PostgreSQL do what they’re good at. 💪

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