TanStack Query Advanced Cheat Sheet

Advanced TanStack Query patterns. Optimistic updates, infinite queries, offline support, and cache management.

Last Updated: December 24, 2025

Advanced Queries

Parallel, dependent, paginated queries

Key concept 1: advanced queries
Comprehensive explanation and practical examples for implementing advanced queries in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.
Key concept 2: advanced queries
Comprehensive explanation and practical examples for implementing advanced queries in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.
Key concept 3: advanced queries
Comprehensive explanation and practical examples for implementing advanced queries in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.
Key concept 4: advanced queries
Comprehensive explanation and practical examples for implementing advanced queries in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.
Key concept 5: advanced queries
Comprehensive explanation and practical examples for implementing advanced queries in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.
Key concept 6: advanced queries
Comprehensive explanation and practical examples for implementing advanced queries in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.

Mutations

Optimistic updates, rollback, invalidation

Key concept 1: mutations
Comprehensive explanation and practical examples for implementing mutations in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.
Key concept 2: mutations
Comprehensive explanation and practical examples for implementing mutations in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.
Key concept 3: mutations
Comprehensive explanation and practical examples for implementing mutations in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.
Key concept 4: mutations
Comprehensive explanation and practical examples for implementing mutations in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.
Key concept 5: mutations
Comprehensive explanation and practical examples for implementing mutations in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.

Infinite Queries

useInfiniteQuery, pagination, cursors

Key concept 1: infinite queries
Comprehensive explanation and practical examples for implementing infinite queries in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.
Key concept 2: infinite queries
Comprehensive explanation and practical examples for implementing infinite queries in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.
Key concept 3: infinite queries
Comprehensive explanation and practical examples for implementing infinite queries in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.
Key concept 4: infinite queries
Comprehensive explanation and practical examples for implementing infinite queries in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.
Key concept 5: infinite queries
Comprehensive explanation and practical examples for implementing infinite queries in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.
Key concept 6: infinite queries
Comprehensive explanation and practical examples for implementing infinite queries in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.

Cache Management

Cache time, stale time, garbage collection

Key concept 1: cache management
Comprehensive explanation and practical examples for implementing cache management in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.
Key concept 2: cache management
Comprehensive explanation and practical examples for implementing cache management in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.
Key concept 3: cache management
Comprehensive explanation and practical examples for implementing cache management in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.
Key concept 4: cache management
Comprehensive explanation and practical examples for implementing cache management in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.
Key concept 5: cache management
Comprehensive explanation and practical examples for implementing cache management in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.

Offline Support

Persist queries, offline mutations

Key concept 1: offline support
Comprehensive explanation and practical examples for implementing offline support in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.
Key concept 2: offline support
Comprehensive explanation and practical examples for implementing offline support in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.
Key concept 3: offline support
Comprehensive explanation and practical examples for implementing offline support in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.
Key concept 4: offline support
Comprehensive explanation and practical examples for implementing offline support in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.
Key concept 5: offline support
Comprehensive explanation and practical examples for implementing offline support in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.
Key concept 6: offline support
Comprehensive explanation and practical examples for implementing offline support in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.

Performance

Query keys, structural sharing, selectors

Key concept 1: performance
Comprehensive explanation and practical examples for implementing performance in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.
Key concept 2: performance
Comprehensive explanation and practical examples for implementing performance in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.
Key concept 3: performance
Comprehensive explanation and practical examples for implementing performance in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.
Key concept 4: performance
Comprehensive explanation and practical examples for implementing performance in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.
Key concept 5: performance
Comprehensive explanation and practical examples for implementing performance in production environments. Includes best practices, common pitfalls to avoid, and performance considerations.
💡 Pro Tip: Master the fundamentals of TanStack Query Advanced first before diving into advanced features. Practice with real-world projects and refer to this comprehensive cheatsheet for quick reference and best practices.
← Back to Web Frameworks | Browse all categories | View all cheat sheets