React Query Debounce

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January 26, 2024

Debouncing is a technique used to delay a network request until a certain amount of idle time has passed. This is particularly useful for reducing the number of requests sent to a server, often applied in scenarios like search input fields or auto-complete suggestions. This guide tells you everything you need to know about how it works in React Query.

What is debounce in React Query?

Debouncing in React Query involves delaying the execution of a query until a specified period of idle time has elapsed. This ensures that the application does not make excessive API calls, which is common in user input scenarios where each keystroke could potentially trigger a network request.

Implementing debounce with useQuery

To apply debouncing with React Query's useQuery, you need to integrate a debounce function. Here’s a basic example using lodash's debounce method:

import { useQuery } from 'react-query'; import _ from 'lodash'; const useDebouncedQuery = (queryKey, queryFn, delay) => { const debouncedQueryFn = _.debounce(queryFn, delay); return useQuery(queryKey, debouncedQueryFn); };

Example: Debouncing a search input

Consider a search input that fetches data based on user input. We can debounce this query to only trigger after the user has stopped typing for a specified duration.

const fetchSearchResults = async (searchTerm) => { const response = await fetch(`/api/search?query=${searchTerm}`); return response.json(); }; const SearchComponent = () => { const [searchTerm, setSearchTerm] = useState(''); const { data } = useDebouncedQuery(['search', searchTerm], () => fetchSearchResults(searchTerm), 500); return ( <input type="text" value={searchTerm} onChange={(e) => setSearchTerm(e.target.value)} /> ); };

You could ship faster.

Imagine the time you'd save if you never had to build another internal tool, write a SQL report, or manage another admin panel again. Basedash is built by internal tool builders, for internal tool builders. Our mission is to change the way developers work, so you can focus on building your product.

How to handle debounce edge cases in React Query

It's important to handle edge cases such as rapid user input changes or empty input values. You can add conditional logic within your query function or debounce function to handle these scenarios.

const fetchSearchResults = async (searchTerm) => { if (!searchTerm.trim()) return []; // Fetch logic };

Custom hooks for reusable debounce logic

For reusability, encapsulate the debounce logic in a custom hook. This allows you to apply debouncing to various parts of your application consistently and cleanly.

export const useDebouncedSearch = (searchTerm) => { return useDebouncedQuery(['search', searchTerm], () => fetchSearchResults(searchTerm), 500); };

Conclusion

By implementing debounce with React Query, you can significantly improve the performance of your application by reducing unnecessary network requests. This approach is particularly useful in scenarios with frequent user input, ensuring a smoother and more efficient user experience.

TOC

What is debounce in React Query?
Implementing debounce with useQuery
Example: Debouncing a search input
How to handle debounce edge cases in React Query
Custom hooks for reusable debounce logic
Conclusion

January 26, 2024

Debouncing is a technique used to delay a network request until a certain amount of idle time has passed. This is particularly useful for reducing the number of requests sent to a server, often applied in scenarios like search input fields or auto-complete suggestions. This guide tells you everything you need to know about how it works in React Query.

What is debounce in React Query?

Debouncing in React Query involves delaying the execution of a query until a specified period of idle time has elapsed. This ensures that the application does not make excessive API calls, which is common in user input scenarios where each keystroke could potentially trigger a network request.

Implementing debounce with useQuery

To apply debouncing with React Query's useQuery, you need to integrate a debounce function. Here’s a basic example using lodash's debounce method:

import { useQuery } from 'react-query'; import _ from 'lodash'; const useDebouncedQuery = (queryKey, queryFn, delay) => { const debouncedQueryFn = _.debounce(queryFn, delay); return useQuery(queryKey, debouncedQueryFn); };

Example: Debouncing a search input

Consider a search input that fetches data based on user input. We can debounce this query to only trigger after the user has stopped typing for a specified duration.

const fetchSearchResults = async (searchTerm) => { const response = await fetch(`/api/search?query=${searchTerm}`); return response.json(); }; const SearchComponent = () => { const [searchTerm, setSearchTerm] = useState(''); const { data } = useDebouncedQuery(['search', searchTerm], () => fetchSearchResults(searchTerm), 500); return ( <input type="text" value={searchTerm} onChange={(e) => setSearchTerm(e.target.value)} /> ); };

You could ship faster.

Imagine the time you'd save if you never had to build another internal tool, write a SQL report, or manage another admin panel again. Basedash is built by internal tool builders, for internal tool builders. Our mission is to change the way developers work, so you can focus on building your product.

How to handle debounce edge cases in React Query

It's important to handle edge cases such as rapid user input changes or empty input values. You can add conditional logic within your query function or debounce function to handle these scenarios.

const fetchSearchResults = async (searchTerm) => { if (!searchTerm.trim()) return []; // Fetch logic };

Custom hooks for reusable debounce logic

For reusability, encapsulate the debounce logic in a custom hook. This allows you to apply debouncing to various parts of your application consistently and cleanly.

export const useDebouncedSearch = (searchTerm) => { return useDebouncedQuery(['search', searchTerm], () => fetchSearchResults(searchTerm), 500); };

Conclusion

By implementing debounce with React Query, you can significantly improve the performance of your application by reducing unnecessary network requests. This approach is particularly useful in scenarios with frequent user input, ensuring a smoother and more efficient user experience.

January 26, 2024

Debouncing is a technique used to delay a network request until a certain amount of idle time has passed. This is particularly useful for reducing the number of requests sent to a server, often applied in scenarios like search input fields or auto-complete suggestions. This guide tells you everything you need to know about how it works in React Query.

What is debounce in React Query?

Debouncing in React Query involves delaying the execution of a query until a specified period of idle time has elapsed. This ensures that the application does not make excessive API calls, which is common in user input scenarios where each keystroke could potentially trigger a network request.

Implementing debounce with useQuery

To apply debouncing with React Query's useQuery, you need to integrate a debounce function. Here’s a basic example using lodash's debounce method:

import { useQuery } from 'react-query'; import _ from 'lodash'; const useDebouncedQuery = (queryKey, queryFn, delay) => { const debouncedQueryFn = _.debounce(queryFn, delay); return useQuery(queryKey, debouncedQueryFn); };

Example: Debouncing a search input

Consider a search input that fetches data based on user input. We can debounce this query to only trigger after the user has stopped typing for a specified duration.

const fetchSearchResults = async (searchTerm) => { const response = await fetch(`/api/search?query=${searchTerm}`); return response.json(); }; const SearchComponent = () => { const [searchTerm, setSearchTerm] = useState(''); const { data } = useDebouncedQuery(['search', searchTerm], () => fetchSearchResults(searchTerm), 500); return ( <input type="text" value={searchTerm} onChange={(e) => setSearchTerm(e.target.value)} /> ); };

You could ship faster.

Imagine the time you'd save if you never had to build another internal tool, write a SQL report, or manage another admin panel again. Basedash is built by internal tool builders, for internal tool builders. Our mission is to change the way developers work, so you can focus on building your product.

How to handle debounce edge cases in React Query

It's important to handle edge cases such as rapid user input changes or empty input values. You can add conditional logic within your query function or debounce function to handle these scenarios.

const fetchSearchResults = async (searchTerm) => { if (!searchTerm.trim()) return []; // Fetch logic };

Custom hooks for reusable debounce logic

For reusability, encapsulate the debounce logic in a custom hook. This allows you to apply debouncing to various parts of your application consistently and cleanly.

export const useDebouncedSearch = (searchTerm) => { return useDebouncedQuery(['search', searchTerm], () => fetchSearchResults(searchTerm), 500); };

Conclusion

By implementing debounce with React Query, you can significantly improve the performance of your application by reducing unnecessary network requests. This approach is particularly useful in scenarios with frequent user input, ensuring a smoother and more efficient user experience.

What is Basedash?

What is Basedash?

What is Basedash?

Ship faster, worry less with Basedash

Ship faster, worry less with Basedash

Ship faster, worry less with Basedash

You're busy enough with product work to be weighed down building, maintaining, scoping and developing internal apps and admin panels. Forget all of that, and give your team the admin panel that you don't have to build. Launch in less time than it takes to run a standup.

You're busy enough with product work to be weighed down building, maintaining, scoping and developing internal apps and admin panels. Forget all of that, and give your team the admin panel that you don't have to build. Launch in less time than it takes to run a standup.

You're busy enough with product work to be weighed down building, maintaining, scoping and developing internal apps and admin panels. Forget all of that, and give your team the admin panel that you don't have to build. Launch in less time than it takes to run a standup.

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