SQL Validation

SQL Validation helps you analyze SQL statements before they are executed.

Instead of manually checking every query, Qubase AI validates SQL syntax, identifies potential issues, and provides recommendations to improve correctness and compatibility.

This feature helps reduce common SQL mistakes and improves database reliability.

Before you begin

Before validating SQL, ensure that you have:

Created a Workspace
Created a Project
Selected a target DBMS (if required)

[!NOTE] SQL Validation analyzes SQL statements only. It does not execute SQL against your database.

What can AI validate?

Qubase AI can analyze various aspects of SQL, including:

SQL syntax
Table references
Column references
Primary Keys
Foreign Keys
Constraints
Data types
Statement structure

The available validation checks depend on the selected database system.

Example SQL


CREATE TABLE orders (
    id UUID PRIMARY KEY,
    customer_id UUID,
    total DECIMAL,
    FOREIGN KEY (customer_id)
        REFERENCES customers(id)
);

AI workflow


Paste SQL
      │
      ▼
AI Parses SQL
      │
      ▼
Validate Structure
      │
      ▼
Detect Issues
      │
      ▼
Show Suggestions

Validate SQL

To validate SQL:

Open AI Engineering.
Select SQL Validation.
Paste or write your SQL statement.
Start validation.
Review detected issues.
Apply recommended changes if needed.

Validation results

Qubase categorizes validation results into different levels.

Status	Meaning
Success	No issues detected
Warning	SQL is valid but may require review
Error	SQL contains problems that should be fixed

Common validation checks

Qubase AI may detect:

Missing Primary Keys
Missing Foreign Keys
Duplicate column names
Invalid data types
Incorrect SQL syntax
Undefined tables
Undefined columns
Invalid constraints

AI recommendations

When issues are detected, Qubase AI provides recommendations that may include:

Correct SQL syntax
Suggested data types
Constraint improvements
Relationship corrections
Naming improvements

Recommendations are intended to assist your review and should be verified before deployment.

Benefits

SQL Validation helps you:

Detect SQL mistakes early
Improve database quality
Reduce debugging time
Learn SQL best practices
Increase confidence before deployment

Best practices

Validate SQL before executing it.
Review AI recommendations carefully.
Confirm generated SQL matches your requirements.
Test important SQL scripts in a development environment.

[!TIP] Running SQL Validation before deployment helps identify problems early and reduces the risk of database errors.