React Query Database Plugin: Best Practices for Data Pagination

React Query Database Plugin: Best Practices for Implementing Data Pagination

Introduction

React Query is a powerful state management library for Implement data management in React applications. It provides a simple and intuitive way to handle data acquisition, caching, updating and synchronization, and is very suitable for handling data paging scenarios. In this article, we’ll explore best practices for paginating data with React Query, while providing some concrete code examples.

Introduction to React Query

React Query provides a data acquisition and management solution based on React Hooks. It can easily handle the retrieval, caching and updating of data, and supports querying and filtering of data, as well as handling functions such as data synchronization and error handling. React Query also uses a cache-based mechanism that maximizes the use of cache to improve performance and reduce network requests while maintaining data consistency.

Requirements for data paging

In most applications, data usually needs to be loaded by page. When the amount of data is large, loading all data at once can cause performance issues and increase network transmission costs. Therefore, loading data in pages is a common practice that can improve the user experience and overall performance of your application.

Best practices for implementing data paging with React Query

The following are some best practices for using React Query to implement data paging:

1. Set the query function of React Query

First, we need to set up the query function of React Query to obtain data. The query function should include a parameter to specify the current page number (page) and obtain the corresponding data based on the page number. At the same time, we can use QueryKeys to define a unique key for each request to facilitate data caching and querying.

const fetchUsers = async (page) => {
  const response = await fetch(`/api/users?page=${page}`);
  const data = await response.json();
  return data;
};

const queryKeys = (page) => ['users', { page }];

2. Use useQuery to obtain data

Using the useQuery hook function can easily obtain data, and use the caching mechanism of React Query to optimize performance. Just pass in the query function and query key.

const UsersList = () => {
  const { isLoading, isError, data } = useQuery(queryKeys(page), fetchUsers);
  
  if (isLoading) {
    return <div>Loading...</div>;
  }
  
  if (isError) {
    return <div>Error loading data</div>;
  }
  
  return (
    <ul>
      {data.map((user) => (
        <li key={user.id}>{user.name}</li>
      ))}
    </ul>
  );
};

3. Processing paging logic

In order to implement paging, we need to track the current page number and provide some user interaction to switch page numbers. You can use the useState hook to define the currentPage state and update it based on user interaction. Then, we can use currentPage as a parameter of the query function to obtain the data of the corresponding page number.

const UsersList = () => {
  const [currentPage, setCurrentPage] = useState(1);
  const { isLoading, isError, data } = useQuery(queryKeys(currentPage), fetchUsers);
  
  const handlePreviousPage = () => {
    setCurrentPage((prevPage) => prevPage - 1);
  };
  
  const handleNextPage = () => {
    setCurrentPage((prevPage) => prevPage + 1);
  };
  
  if (isLoading) {
    return <div>Loading...</div>;
  }
  
  if (isError) {
    return <div>Error loading data</div>;
  }
  
  return (
    <div>
      <button onClick={handlePreviousPage} disabled={currentPage === 1}>
        Previous Page
      </button>
      <button onClick={handleNextPage}>
        Next Page
      </button>
      
      <ul>
        {data.map((user) => (
          <li key={user.id}>{user.name}</li>
        ))}
      </ul>
    </div>
  );
};

4. Add caching and data prefetching

React Query uses a cache-based mechanism to maximize the use of cache to improve performance. Therefore, when a page is loaded, the data is automatically cached and fetched from the cache on the next request. In addition, we can use the useQueryPrefetch hook to pre-prepare the data for the next page in advance so that the data can be loaded faster when the user switches page numbers.

const UsersList = () => {
  // ...

  const nextPageQuery = queryKeys(currentPage + 1);
  const prefetchNextPage = useQueryPrefetch(nextPageQuery, fetchUsers);

  const handleNextPage = () => {
    setCurrentPage((prevPage) => prevPage + 1);
    prefetchNextPage();
  };

  // ...
};

Through the above steps, we can use React Query to easily implement data paging and optimize performance.

Summary

This article introduces the best practices for using React Query to implement data paging, and also provides some specific code examples. React Query provides convenient hook functions and caching mechanisms, making the implementation of data paging simple and efficient. By using React Query, we can better handle the retrieval, caching and updating of data, while providing a good user experience and application performance.

I hope this article has provided valuable guidance and help for you to understand and use React Query to handle data paging.

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