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:

    [('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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