Using read_group() to Improve Data Analysis in Odoo

Hello odooers  & developers, 

Its odoo tips and tricks article, where I would like to share more knowledge about the  read_group in odoo

as an odoo developer, knowing the fundamentals of  read_group in odoo behaviour, its Syntax, and how we can use the read_group in odoo is essential.  

Explore read_group in odoo :-

.read_group is a powerful tool in Odoo that empowers you to efficiently retrieve and summarize data, making it a go-to method for generating reports and conducting data analysis.


Imagine you have an Order model with a status field (e.g., 'pending', 'shipped', 'cancelled'). You want to generate a report showcasing the number of orders in each status category.


Use of read_group in odoo :-

By filtering, grouping, and aggregating data on the database server, it reduces the amount of information transferred, significantly improving performance compared to reading all records and performing calculations in Python.


Read_group in odoo usage and Syntax:

.py

result = self.env['my.model'].read_group(

    [('field_name', '!=', False)],  # Domain (optional)
    ['field_name:Aggregation'],             # Fields and Aggregation
    ['field_name']                    # Group By
)

result = self.env['product'].read_group(
    [],  # No domain (retrieve all products)
    ['category_id:avg(price)'],  # Average price by category
    ['category_id']  # Group by category
)

'''
EXPECTED OUTPUT

[
    {'category_id': [category_id1], 'category_id:avg(price)': 25.5},
    {'category_id': [category_id2], 'category_id:avg(price)': 32.8},
]

'''

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Odoo DEV November 11, 2024
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