How to setup rback (role base access control ) over columns and table in sql rag .

[lalitbyteiq]

How to setup rback (role base access control ) over columns and table in sql rag .

i want to build an production sql rag where all the user cant access all data they heve access to selected data how to control the sql query generation and how to check access is there or not

[dosubot[bot]]

🤖

Hey @lalitbyteiq, nice to see you around here again! Hope you're doing well.

Based on the information available in the LlamaIndex repository, it does not currently support role-based access control (RBAC) for SQL databases. However, you can implement RBAC at the database level, which is a common practice.

For SQL databases, you can create roles and grant them specific permissions on tables and columns. Here is a basic example:

CREATE ROLE read_only;
GRANT SELECT ON table_name TO read_only;

In this example, a role named read_only is created and granted SELECT permissions on table_name. You can then assign this role to any user, and they will only be able to perform SELECT operations on table_name.

As for controlling SQL query generation, you can use prepared statements or parameterized queries to prevent SQL injection attacks. Here is an example using Python's sqlite3 module:

import sqlite3

# Connect to the database
conn = sqlite3.connect('my_database.db')

# Create a cursor
c = conn.cursor()

# Use a parameterized query to prevent SQL injection
c.execute("SELECT * FROM table_name WHERE column_name=?", (value,))

# Fetch the results
results = c.fetchall()

In this example, value is the value you want to use in the WHERE clause. The ? is a placeholder that sqlite3 replaces with value, after properly escaping it.

To check if a user has access to a specific table or column, you can use the HAS_PRIVILEGES function in SQL. Here is an example:

SELECT HAS_PRIVILEGES('user_name', 'SELECT', 'table_name', 'column_name');

In this example, HAS_PRIVILEGES returns 1 if user_name has SELECT permissions on column_name in table_name, and 0 otherwise.

Please note that the exact SQL syntax and functions may vary depending on the SQL database you are using. You should refer to your database's documentation for the correct syntax and functions.

As for integrating this with LlamaIndex, you would need to handle the user authentication and role assignment outside of LlamaIndex, and then pass the authenticated user's connection to LlamaIndex's SQLStructStoreIndex.

I hope this helps! If you have any other questions, feel free to ask.

Sources

• llama-index-legacy/llama_index/legacy/indices/struct_store/sql.py

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