How to use PHP and UniApp to implement fuzzy matching and query of data

How to use PHP and UniApp to implement fuzzy matching and query of data

Introduction:
In many development projects, we often need to implement fuzzy matching and query functions for data. PHP and UniApp are commonly used development technologies. This article will introduce how to use PHP to write backend interfaces, and how to use these interfaces in UniApp to implement fuzzy matching and query of data.

1. PHP writing background interface

1. Create database
   First, we need to create a database containing data. Taking the MySQL database as an example, you can use a SQL statement similar to the following to create a table named "users":

CREATE TABLE users (

id INT(11) PRIMARY KEY AUTO_INCREMENT,
name VARCHAR(255),
email VARCHAR(255)

);

2. Write PHP backend interface
   Next, we need to write a PHP backend interface to receive the query conditions passed by the front end, and then perform fuzzy matching queries in the database based on the conditions. The following is a simple example:

0a76a3268a4d7ec6835e6bd221ff8198connect_error) {

die("连接失败: " . $conn->connect_error);

}

// Get query conditions
$keyword = $_POST["keyword"];

//Construct query statement
$sql = "SELECT * FROM users WHERE name LIKE '%$keyword%'";

// Execute query
$result = $conn->query($sql);

// Process query results
if ($result->num_rows > 0) {

// 将查询结果转换为关联数组
$rows = array();
while ($row = $result->fetch_assoc()) {
    $rows[] = $row;
}

// 返回查询结果
echo json_encode($rows);

} else {

// 返回空结果
echo json_encode(array());

}

// Close the database connection
$conn->close();
?>

Please note that this is just a simple example, and more complex query conditions and data processing logic may be required in actual development.

2. Use the backend interface to implement fuzzy matching and query in UniApp

1. Create UniApp project
   First, we need to create a UniApp project and create a UniApp project in the root directory of the project Folder named "api", name the PHP background interface file written in the previous step "search.php", and put it into the "api" folder.
2. Initiate a query request
   In the UniApp page, initiate a query request through the uni.request method. The following is a simple example:

export default {

data() {
    return {
        keyword: '',
        users: []
    };
},
methods: {
    searchData() {
        uni.request({
            url: '/api/search.php',
            method: 'POST',
            data: {
                keyword: this.keyword
            },
            success: (res) => {
                this.users = res.data;
            },
            fail: (err) => {
                console.error(err);
            }
        });
    }
}

}

In the above example, a data named "keyword" is defined through the data attribute, which is used to store the query keyword entered by the user. A method named "searchData" is defined through the method attribute, which is used to initiate query requests. When the query request returns successfully, the returned results are assigned to the "users" array in the data attribute.

3. Display query results
   Finally, we can use the "v-for" command to render the query results in a loop on the UniApp page. The following is a simple example:

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<view>
    <input v-model="keyword" type="text" placeholder="请输入关键字">
    <button @click="searchData">查询</button>
    <view v-for="(user, index) in users" :key="index">
        <text>{{ user.name }}</text>
        <text>{{ user.email }}</text>
    </view>
</view>

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In the above example, use the "v-model" command to compare the value in the input box with the "keyword" in the data attribute Two-way binding. Call the "searchData" method in the "click" event of the query button to initiate a query request. Loop through each piece of data in the query results in the "v-for" directive.

Conclusion:
Using PHP and UniApp can easily realize the fuzzy matching and query functions of data. By writing the backend interface in PHP, you can apply the query conditions passed by the front end to the database query, and then return the query results to the front end for display through UniApp. I hope the examples in this article can help developers better understand and apply these technologies.

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