Efficiently utilize Vue and Axios to implement batch processing of front-end data

In front-end development, data processing is a common task. When we need to process a large amount of data, processing the data will become very cumbersome and inefficient if there is no effective method. Vue is an excellent front-end framework, and Axios is a popular network request library. They can work together to implement batch processing of front-end data. This article will introduce in detail how to efficiently use Vue and Axios for batch processing of data, and provide relevant code examples.

First, we need to introduce Vue and Axios into the project. It can be introduced through CDN or installed using npm. Once introduced successfully, we can start using them.

Suppose we have a user management system that needs to process a large amount of user data. User data is stored in the backend database in JSON format. Now we need to get the user data from the backend and display it on the frontend page.

First of all, in the Vue component, we can obtain user data through the created life cycle hook function. In the hook function, we use Axios to send a GET request to get the data from the backend and then save it in Vue's data property. The following is a simple code example:

<template>
  <div>
    <h1>用戶(hù)管理系統(tǒng)</h1>
    <ul>
      <li v-for="user in users" :key="user.id">{{ user.name }}</li>
    </ul>
  </div>
</template>

<script>
import axios from 'axios';

export default {
  data() {
    return {
      users: [],
    };
  },
  created() {
    axios.get('/api/users')
      .then((response) => {
        this.users = response.data;
      })
      .catch((error) => {
        console.log(error);
      });
  },
};
</script>

In the above code, we send a GET request through Axios to obtain user data, and save the obtained data in the users attribute of the Vue instance. We then use the v-for directive to iterate through this user data in the page and display the usernames in a list.

Next, we can add a batch processing function, such as deleting selected users. In order to implement this function, we need to add a checkbox to the user list and listen to the change event of the checkbox. When the checkbox is checked, the selected users are added to an array, and when the checkbox is unchecked, the selected users are removed from the array. At the same time, we can add a delete button, and when the delete button is clicked, use Axios to send a POST request to delete the selected user. Here is the modified code example:

<template>
  <div>
    <h1>用戶(hù)管理系統(tǒng)</h1>
    <button @click="deleteSelectedUsers">刪除選中用戶(hù)</button>
    <ul>
      <li v-for="user in users" :key="user.id">
        <input type="checkbox" v-model="selectedUsers" :value="user.id">
        {{ user.name }}
      </li>
    </ul>
  </div>
</template>

<script>
import axios from 'axios';

export default {
  data() {
    return {
      users: [],
      selectedUsers: [],
    };
  },
  created() {
    axios.get('/api/users')
      .then((response) => {
        this.users = response.data;
      })
      .catch((error) => {
        console.log(error);
      });
  },
  methods: {
    deleteSelectedUsers() {
      axios.post('/api/deleteUsers', { ids: this.selectedUsers })
        .then((response) => {
          this.selectedUsers = [];
          console.log('批量刪除用戶(hù)成功');
        })
        .catch((error) => {
          console.log(error);
        });
    },
  },
};
</script>

In the above code, we use the v-model directive to bind the checkbox with the selectedUsers array. When the check box is selected, its corresponding user ID will be added to the selectedUsers array; when the check box is unchecked, its corresponding user ID will be removed from the selectedUsers array. When the delete button is clicked, we use Axios to send a POST request to delete the user in the selectedUsers array.

Through the above code examples, we can see how to use Vue and Axios to efficiently implement batch processing of front-end data. The powerful functions of Vue and Axios can greatly simplify our development work and improve work efficiency. I hope this article can be helpful to readers in data processing in front-end development.

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