Use React Query and database for data monitoring and statistics

Using React Query and database for data monitoring and statistics

With the rapid development of the Internet, data monitoring and statistics have become an indispensable part of many applications . In order to better understand user behavior, optimize user experience and make data-driven decisions, we often need to collect, store and analyze data accordingly. In this article, I will introduce how to use React Query and database for data monitoring and statistics.

React Query is a powerful data management library that helps us better manage data state and requests in React applications. Different from traditional Redux or Mobx, the design concept of React Query is to hand over data manipulation and state management to the library, allowing us to better focus on writing business logic.

Before we begin, let’s first understand this scenario: Suppose we are developing an e-commerce website, and we hope to be able to count the sales of each item and store the data in the database for subsequent analysis. We will use React Query to manage the acquisition and update operations of product data.

First, we need to install React Query:

npm install react-query

Next, we create a component named Product and import the React Query related hooks:

import React from "react";
import { useQuery, useMutation } from "react-query";

We use useQuery hook to obtain product list data, and use useMutation hook to update product sales data.

The following is a sample code to obtain product list data:

const fetchProducts = async () => {
  const response = await fetch("/api/products");
  const data = await response.json();
  return data;
};

const Product = () => {
  const { data, isLoading, isError } = useQuery("products", fetchProducts);

  if (isLoading) {
    return <div>Loading...</div>;
  }

  if (isError) {
    return <div>Error...</div>;
  }

  return (
    <div>
      {data.map((product) => (
        <div key={product.id}>
          <span>{product.name}</span>
          <span>{product.price}</span>
        </div>
      ))}
    </div>
  );
};

In the above code, we define an asynchronous function named fetchProducts to obtain products from the server List data. Then, we use useQuery hook to get the data and render accordingly based on the request status.

Next, we need to define a method for updating product sales data. For example, when a user purchases an item, we will call this method to update the sales quantity in the database. The following is a sample code for updating product sales data:

const updateProductSales = async (productId) => {
  const response = await fetch(`/api/products/${productId}/sales`, {
    method: "POST",
  });
  const data = await response.json();
  return data;
};

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

  const mutation = useMutation(updateProductSales);

  const handlePurchase = (productId) => {
    mutation.mutate(productId);
  };

  return (
    <div>
      {data.map((product) => (
        <div key={product.id}>
          <span>{product.name}</span>
          <span>{product.price}</span>
          <button onClick={() => handlePurchase(product.id)}>Purchase</button>
        </div>
      ))}
    </div>
  );
};

In the above code, we define an asynchronous function named updateProductSales to update product sales data. Then, we use the useMutation hook to create a mutation and trigger the update operation through the mutation.mutate method.

Finally, we trigger the handlePurchase method through a button to update the product sales data.

Through the above code examples, we can see the entire process of using React Query and database for data monitoring and statistics. We obtain data through useQuery hook and update data through useMutation hook to achieve data monitoring and statistical functions.

Of course, the above is just a simple example, and actual application scenarios may be more complex. However, using React Query helps us better manage data state and requests, making the application easier to maintain and scale.

I hope this article will help you understand how to use React Query and database for data monitoring and statistics!

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