
Learn to execute SQL queries in Odoo for custom operations, batch updates, and optimized data handling using self.env.cr. Tips, examples, and best practices.
To execute direct SQL queries in Odoo is a robust method. It is an effective way to interact with database. This is most apparent with complex operations. Also with optimizations beyond standard ORM capabilities. However it is crucial to grasp how and when to employ SQL in Odoo. The goal is to guarantee system integrity and performance.
Odoo's ORM is proficient at handling database interactions. Even then there are scenarios where SQL queries offer more flexibility. More efficiency. More control. Instances of these include:
Odoo gives permission for the execution of SQL. It occurs with the self.env.cr cursor object. Cursor is integral to self.env context. This the PostgreSQL database has direct interaction.
This code example shows how to execute an SQL query in Odoo. This query we can use to retrieve. Update. Delete data.
from odoo import models, api
class CustomSQLExample(models.Model):
_name = 'custom.sql.example'
_description = 'Custom SQL Example Model'
@api.model
def execute_custom_query(self):
# Initialize the cursor
cr = self.env.cr
# Example: Select query
cr.execute("SELECT id, name FROM res_partner WHERE customer_rank > %s", (0,))
customers = cr.fetchall() # Fetch all results
for customer in customers:
_logger.info("Customer ID: %s, Name: %s", customer[0], customer[1])
# Example: Update query
cr.execute("UPDATE res_partner SET active = FALSE WHERE id = %s", (customer[0],))
self.env.cr.commit() # Commit to save changes
# Example: Delete query
cr.execute("DELETE FROM res_partner WHERE active = FALSE AND customer_rank = 0")
self.env.cr.commit() # Commit to save changes
return True
Consider SQL as extra tool. Don't see it primary solution. Avoid use of direct SQL for operations as ORM can efficiently handle them. It offers more maintainable, upgrade-friendly code.
Operating SQL queries in Odoo is a practical aptitude. It is for developers who want to orchestrate data effectively. With careful utilization of SQL for particular responsibilities and an understanding of when it's compulsory one can enhance the elasticity of Odoo. One can also promote top-notch performance and robustness. All without compromising any of these.
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