Master server state management with TanStack Query in Google Antigravity applications for caching, mutations, and optimistic updates.
# React Query Data Fetching Patterns
Build efficient data fetching layers with TanStack Query (React Query) in your Google Antigravity applications. This guide covers queries, mutations, caching strategies, and optimistic updates.
## Query Client Setup
Configure TanStack Query with sensible defaults:
```typescript
// lib/query-client.ts
import { QueryClient } from "@tanstack/react-query";
export function makeQueryClient() {
return new QueryClient({
defaultOptions: {
queries: {
staleTime: 60 * 1000, // 1 minute
gcTime: 10 * 60 * 1000, // 10 minutes
retry: (failureCount, error) => {
if (error instanceof Response && error.status === 404) {
return false;
}
return failureCount < 3;
},
refetchOnWindowFocus: false,
},
mutations: {
retry: 1,
},
},
});
}
// app/providers.tsx
"use client";
import { QueryClientProvider } from "@tanstack/react-query";
import { ReactQueryDevtools } from "@tanstack/react-query-devtools";
import { useState } from "react";
import { makeQueryClient } from "@/lib/query-client";
export function Providers({ children }: { children: React.ReactNode }) {
const [queryClient] = useState(() => makeQueryClient());
return (
<QueryClientProvider client={queryClient}>
{children}
<ReactQueryDevtools initialIsOpen={false} />
</QueryClientProvider>
);
}
```
## Query Hooks
Create reusable query hooks:
```typescript
// hooks/usePrompts.ts
import { useQuery, useMutation, useQueryClient } from "@tanstack/react-query";
import { createClient } from "@/lib/supabase/client";
export const promptKeys = {
all: ["prompts"] as const,
lists: () => [...promptKeys.all, "list"] as const,
list: (filters: PromptFilters) => [...promptKeys.lists(), filters] as const,
details: () => [...promptKeys.all, "detail"] as const,
detail: (id: string) => [...promptKeys.details(), id] as const,
};
export function usePrompts(filters: PromptFilters = {}) {
return useQuery({
queryKey: promptKeys.list(filters),
queryFn: async () => {
const supabase = createClient();
let query = supabase
.from("prompts")
.select("*")
.eq("is_approved", true)
.order("created_at", { ascending: false });
if (filters.category) {
query = query.contains("tags", [filters.category]);
}
const { data, error } = await query;
if (error) throw error;
return data;
},
});
}
export function usePrompt(id: string) {
return useQuery({
queryKey: promptKeys.detail(id),
queryFn: async () => {
const supabase = createClient();
const { data, error } = await supabase
.from("prompts")
.select("*")
.eq("id", id)
.single();
if (error) throw error;
return data;
},
enabled: !!id,
});
}
```
## Mutations with Optimistic Updates
Implement optimistic updates for instant feedback:
```typescript
// hooks/useStarPrompt.ts
import { useMutation, useQueryClient } from "@tanstack/react-query";
import { promptKeys } from "./usePrompts";
export function useStarPrompt() {
const queryClient = useQueryClient();
return useMutation({
mutationFn: async ({ promptId, userId }: { promptId: string; userId: string }) => {
const supabase = createClient();
const { error } = await supabase
.from("stars")
.insert({ prompt_id: promptId, user_id: userId });
if (error) throw error;
},
onMutate: async ({ promptId }) => {
await queryClient.cancelQueries({ queryKey: promptKeys.detail(promptId) });
const previousPrompt = queryClient.getQueryData<Prompt>(
promptKeys.detail(promptId)
);
if (previousPrompt) {
queryClient.setQueryData(promptKeys.detail(promptId), {
...previousPrompt,
star_count: previousPrompt.star_count + 1,
is_starred: true,
});
}
return { previousPrompt };
},
onError: (err, { promptId }, context) => {
if (context?.previousPrompt) {
queryClient.setQueryData(
promptKeys.detail(promptId),
context.previousPrompt
);
}
},
onSettled: (_, __, { promptId }) => {
queryClient.invalidateQueries({ queryKey: promptKeys.detail(promptId) });
},
});
}
```
## Infinite Queries
Implement infinite scrolling:
```typescript
// hooks/useInfinitePrompts.ts
import { useInfiniteQuery } from "@tanstack/react-query";
export function useInfinitePrompts() {
return useInfiniteQuery({
queryKey: ["prompts", "infinite"],
queryFn: async ({ pageParam = 0 }) => {
const supabase = createClient();
const limit = 20;
const from = pageParam * limit;
const to = from + limit - 1;
const { data, error, count } = await supabase
.from("prompts")
.select("*", { count: "exact" })
.eq("is_approved", true)
.order("created_at", { ascending: false })
.range(from, to);
if (error) throw error;
return { data, nextPage: to < (count || 0) - 1 ? pageParam + 1 : undefined };
},
getNextPageParam: (lastPage) => lastPage.nextPage,
initialPageParam: 0,
});
}
```
## Best Practices
1. **Query Keys**: Use structured query key factories for consistency
2. **Stale Time**: Set appropriate stale times based on data freshness needs
3. **Optimistic Updates**: Provide instant feedback for better UX
4. **Error Handling**: Implement proper error boundaries and retry logic
5. **Prefetching**: Prefetch data on hover for perceived performance
6. **Devtools**: Use React Query Devtools during developmentThis tanstack-query prompt is ideal for developers working on:
By using this prompt, you can save hours of manual coding and ensure best practices are followed from the start. It's particularly valuable for teams looking to maintain consistency across their tanstack-query implementations.
Yes! All prompts on Antigravity AI Directory are free to use for both personal and commercial projects. No attribution required, though it's always appreciated.
This prompt works excellently with Claude, ChatGPT, Cursor, GitHub Copilot, and other modern AI coding assistants. For best results, use models with large context windows.
You can modify the prompt by adding specific requirements, constraints, or preferences. For tanstack-query projects, consider mentioning your framework version, coding style, and any specific libraries you're using.