Skip to content

Conversation

@ankit-kothari
Copy link
Owner

Adding sql for H1B analysis.

@ankit-kothari
Copy link
Owner Author

🤖 AI Code Review

⚠️ Status: Needs Changes
📊 Score: 5/10

📝 Summary

The SQL query attempts to aggregate H1B approval and denial data for Amazon, but there are several issues with optimization and formatting. The subquery is unnecessary as it duplicates the main query logic, and there are inconsistencies in GROUP BY usage. Formatting can be improved for readability.

⚠️ Concerns

  • Unnecessary LEFT JOIN with a subquery that duplicates the main query logic.
  • GROUP BY clause only includes h1b.Fiscal_Year, but SELECT includes h1b.Employer, which may cause errors or unexpected results depending on SQL dialect.
  • WHERE clause uses LIKE 'AMAZON', which is equivalent to = 'AMAZON' and may be misleading.
  • Formatting is inconsistent (e.g., indentation, spacing around operators, and SQL keywords).
  • Ambiguous use of table aliases and column references.
  • No clear use of the joined subquery's results in the main SELECT.

💡 Recommendations

  • Remove the unnecessary LEFT JOIN and subquery; aggregate directly from the h1b table.
  • Update the GROUP BY clause to include both h1b.Employer and h1b.Fiscal_Year if both are selected.
  • Use '=' instead of 'LIKE' for exact string matching.
  • Improve formatting: align SQL keywords, use consistent indentation, and add spaces around operators.
  • Remove unused subquery columns from the SELECT statement.
  • Add comments to clarify the purpose of the query if needed.

🛑 Merge Decision

Should merge: No
Safe to auto-merge: No
Reasoning: Score: 5/10, Approval: needs_changes


This review was generated by AI. Please use your judgment for final decisions.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

2 participants