A Ruby gem that detects N+1 queries, unused eager loading, and missing counter caches to improve application performance.
Bullet is a Ruby gem that helps developers detect and fix database query performance issues in Rails and Mongoid applications. It identifies N+1 queries, unused eager loading, and missing counter caches during development, providing actionable notifications to optimize database access patterns before code reaches production.
Ruby on Rails and Mongoid developers who want to proactively identify and fix database query inefficiencies during development and testing phases.
Developers choose Bullet because it provides real-time, actionable feedback about query patterns directly in their development workflow, helping prevent performance issues from reaching production without requiring manual query analysis.
help to kill N+1 queries and unused eager loading
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Identifies N+1 queries, unused eager loading, and missing counter caches during development, preventing performance issues from reaching production, as highlighted in its philosophy.
Supports multiple alert methods including browser consoles, Rails logs, Slack, Sentry, and more, allowing integration into various development workflows via uniform_notifier.
Simple installation via gem and a generator command for initial configuration, with granular controls to enable or disable specific detectors like N+1 query checks.
Provides actionable feedback with stack traces in logs, helping developers learn about query optimization by showing exactly where to fix issues in their code.
Designed solely for development and test environments, not for production monitoring, which limits its utility in live performance tuning.
Requires setting up safe lists and tuning detectors for complex apps, which can be time-consuming and error-prone, as admitted in the safe listing section.
Only alerts developers to problems; implementing fixes like eager loading or counter caches must be done manually, adding overhead to the optimization process.