How to Speed up Odoo

How to Speed Up Odoo

Odoo is the most popular ERP (Enterprise Resource Planning) software, written in Python and uses PostgreSQL as database back-end. The Odoo community edition is a free and open source software which includes project management, manufacturing, accounting, billing and sales management, warehouse management, human resources and more. There are about 30 core modules and more than 3000 community modules. Odoo is a complex software, and deploying a number of modules, having huge data inside the database etc. could induce a slowdown. The two major Odoo bottlenecks are disk access and database query time. In this tutorial we will show you how how to speed up Odoo.

In order to increase the performance of an Odoo instance, make sure to use:

  • a fast disk drive for storage (preferably SSD)
  • Linux VPS with lots of RAM.
  • activate multiprocessing mode in Odoo.
  • configure and optimize the PostgreSQL service properly.

1. Get an SSD VPS with more RAM

Like we mentioned previously, the random disk access speed is one of the major Odoo bottlenecks, so make sure to host Odoo on an SSD based VPS. Always install Odoo on a VPS with more RAM because Odoo is known as resource intensive application, and load the entire Odoo instance and its database into RAM if possible. Solid state disk drives excel especially in random access and they can achieve random access IOPS hundreds of times higher than conventional mechanical har disk drives because SSDs do not have any moving parts. No matter how much optimizations and configurations you do on your Odoo, if the server is not fast or powered by SSD, your Odoo will be slow. Getting the right hosting for your Odoo is the most important factor of your Odoo’s performance.

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Other Odoo optimizations include:

2. Enable the Multiprocessing option in your Odoo configuration

To do so, locate the openerp-server binary file:

#locate openerp-server


Run the following command:

#/usr/bin/openerp-server --help

The output of this command should be like this:

Usage: openerp-server [options]

  --version             show program's version number and exit


  Multiprocessing options:
    --workers=WORKERS   Specify the number of workers, 0 disable prefork mode.
                        Maximum allowed virtual memory per worker, when
                        reached the worker be reset after the current request
                        (default 671088640 aka 640MB).
                        Maximum allowed virtual memory per worker, when
                        reached, any memory allocation will fail (default
                        805306368 aka 768MB).
                        Maximum allowed CPU time per request (default 60).
                        Maximum allowed Real time per request (default 120).
                        Maximum number of request to be processed per worker
                        (default 8192).

The number of workers should be equal to a number of CPU cores allocated to the VPS, or if you want to leave some CPU cores exclusively for the PostgreSQL database, cron jobs or other applications installed on the same VPS where the Odoo instance is installed and running, set the number of workers to a lower value than CPU cores available on the VPS to avoid resources exhaustion.
The limit-memory-soft and limit-memory-hard are self-explanatory, and you should leave them to the default value or modify them depending on the RAM available on the actual VPS.
For example, if you have a VPS with 8 CPU cores and 16 GB of RAM, the number of workers should be 17 (CPU cores * 2 + 1), total limit-memory-soft value will be 640 x 17 = 10880 MB , and total limit-memory-hard 768MB x 17 = 13056 MB, so Odoo will use maximum 12.75 GB of RAM.

For example, on a VPS with 16 GB of RAM and 8 CPU cores, edit the Odoo configuration file (e.g. /etc/odoo-server.conf), and add the following lines to it:

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vi /etc/odoo-server.conf
workers = 17

limit_memory_hard = 13690208256

limit_memory_soft = 11408506880

limit_request = 8192

limit_time_cpu = 60

limit_time_real = 120

max_cron_threads = 2

Do not forget to restart Odoo for the changes to take effect.

3. Properly configure and optimize PostgreSQL

As for the PostgreSQL optimization, it is a good idea to update to the latest PostgreSQL version whenever a new version comes out. There are two settings in PostgreSQL configuration file (pg_hba.conf) which should be modified: shared_buffers and effective_cache_size. Set shared_buffers to 20% of the available memory, and effective_cache_size to 50% of the available memory.

For example, if Odoo is installed on an SSD VPS with 16 GB of RAM, use the following settings in the postgresql.conf file:

vi /var/lib/postgresql/data/postgresql.conf
shared_buffers = 3072MB
effective_cache_size = 8192MB

4. Restart PostgreSQL

Restart the PostgreSQL service for the changes to take effect.

5. Periodically clean up temporary data

Also, do not forget to run ‘VACUUM‘ manually periodically. ‘Vacuuming’ cleans up stale or temporary data, but please keep in mind that it is heavy on both CPU and disk usage.

Of course, you don’t have to speed up Odoo, if you use one of our Odoo VPS Hosting services, in which case you can simply ask our expert Linux admins to speed up Odoo for you. They are available 24×7 and will take care of your request immediately.

PS. If you liked this post, on how to speed up Odoo, please share it with your friends on the social networks using the sharing buttons or simply leave a reply below. Thanks.

15 thoughts on “How to Speed up Odoo”

  1. Hi,

    Thank You for this very helpful article. One question: Why we calculate number of workers by multiplying CPU core by 2, and then adding 1?


  2. Aren’t the ‘limit_memory_soft’ and the ‘limit_memory_hard’ options set as virtual memory requirements PER worker and not the total memory requirement for ALL workers? Having read the ‘–help’ ouput the above is a bit confusing, just need some clarification.
    Otherwise, some great tips, thank you!

  3. Hi foks
    This article is wrong . In the above you have set the soft limit per worker to 10.8 GB . With 17 workers thats alot more than the 16 GB on your box . Hard limit is also wrong .
    You should review these figures .



  4. Hi admin
    I am afraid they are not .
    Maximum allowed virtual memory per worker. If the limit is exceeded, the worker is killed and recycled at the end of the current request.
    Defaults to 640MB.

    You have a soft liit of 10.8 GB with 17 workers on a 16 GB server . You are out by a factor of ten .

  5. Hi admin,

    Can you clarify about the limit-memory, are they applied PER worker or PER instance? According to help page, they are applied per worker.


  6. Ways to speed up your Odoo site is really amazing blog as when one creates the site he has no idea of getting speed to its best so It really proves helpful and amazing for all of them.

  7. It does indeed seem the limits proposed are actually not correct. The parameters for memory limits are per worker. Yet the proposed setting gives the total for all the workers. If you multiply this by the number of workers you exceed the actual RAM available. Otherwise helpful article. Thanks!

  8. Thanks a ton for very helpful blog with details will be good to know that when I’m running odoo server with workers error of ” bus.bus unavailable ” coming continuously.any idea of that ?

  9. Hi Dipak,

    If you had a face about bus.bus unavailable is because the system has activated worker > 0, or you open the longpolling port but there is no services to handle that. By activating worker, the system let longpolling port is also active, so you need to third party services to handle that, for example is like nginx, In nginx you can configured to handle port of longpolling, (openerp-gevent), This is to handle IM Bus for Odoo Chat


  10. Hi Admin, the rule of thumbs to calculate the worker just for processor multi thread or we could use it for processor not multi thread ?

    • The multiprocessing mode is enabled whenever the worker count is not 0. If you want to run Odoo in multithreaded mode, you will need to leave the worker count to 0, and if you want to enable multiprocessing mode, you will need to set the number of workers higher than 0.

      You can still enable multiprocessing mode even with 1 CPU core. The calculation rule (CPU cores * 2 + 1) still applies.


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