How to implement front-end multi-condition combined query submission in ThinkPHP5

With the rapid development of the Internet, more and more websites and applications are beginning to adopt a front-end and back-end separation architecture. For the backend, a good framework can help us better implement business logic and improve development efficiency and code quality. For the front-end, data display and search are often also a crucial link. In this article, we will introduce how to use ThinkPHP5 to implement the front-end multi-condition combined query submission function.

1. Requirements Analysis

In actual development, we often need to query some tables or data. These data are often very large, and we need to perform multi-condition filtering to quickly find the data we need. Therefore, we need to develop a multi-condition combined query function.

Specifically, we need to implement the following functions:

1. Support combined query of multiple conditions: users can select multiple conditions for combined query.

2. Support paging query: If there are many query results, we may need to display them in paging.

3. Support query caching: If the same query condition is executed multiple times in a short period of time, we can use query caching to improve query speed.

2. Technology selection

In order to realize the above functions, we need to choose a powerful framework. In the following content, we will use the ThinkPHP5 framework to implement this function.

3. Implementation steps

1. Create tables and data

First, we need to create a table and insert some test data. In this example, we will create a table called "users" with fields such as name, age, gender, city, and status.

2. Create a query form

Next, we need to create an HTML form to receive the query conditions entered by the user. In this example, we will support multiple query conditions such as name, age, gender, city, and state. We can achieve this through select or input controls in the form.

As you can see, we use select, input and other controls in the form to receive user input, and use the submit button to send requests. Among them, we should note that for multiple-select query conditions, we need to add "[]" to the name attribute of the form element to indicate that this is an array.

3. Implement query logic

After the user submits the query request, we need to pass the query conditions entered by the user to the background for data query. Here, we will use the query builder provided by the ThinkPHP5 framework to achieve this. Specifically, we need to obtain the query conditions entered by the user separately, then combine these conditions into SQL statements and execute the query. Query results can be traversed and displayed in paging.

The entire query logic is as follows:

public function search(){
    $param = input('post.');//获取查询条件
    $page = input('page', 1);//获取当前页数，默认为第一页
    $limit = input('limit', 10);//获取每页显示条数，默认为10

    //开始拼凑查询条件
    $where = [];
    if(!empty($param['name'])){
        $where[] = ['name', 'like', '%'. $param['name'] . '%'];
    }
    if(!empty($param['gender'])){
        $where[] = ['gender', '=', $param['gender']];
    }
    if(!empty($param['age'])){
        $ageArr = explode('-', $param['age']);
        if(count($ageArr) == 2){
            $where[] = ['age', 'between', [$ageArr[0], $ageArr[1]]];
        }
    }
    if(!empty($param['city'])){
        $where[] = ['city', '=', $param['city']];
    }
    if(!empty($param['status'])){
        $where[] = ['status', '=', $param['status']];
    }

    //计算总记录数
    $count = Db::table('users')
        ->where($where)
        ->count();

    //执行分页查询
    $list = Db::table('users')
        ->where($where)
        ->page($page)
        ->limit($limit)
        ->select();

    //返回查询结果
    return json([
        'code' => 0,
        'msg' => '',
        'count' => $count,
        'data' => $list
    ]);
}

In this code, we first obtain the query conditions entered by the user, and use the where method to combine these conditions into a SQL statement. Next, we use the count method to count the number of records that meet the conditions, and use the page and limit methods to implement paging queries. Finally, we return the query results to the front end in JSON.

4. Implement query caching

If we query the same conditions multiple times in a short period of time, the burden on the database will be very large. Therefore, we can improve query efficiency by turning on query caching. To enable query caching, we only need to add the cache method after the query statement. Specifically, we can modify the above code to the following form:

//执行分页查询
$list = Db::table('users')
    ->where($where)
    ->cache(true, 600)//开启缓存，缓存时间为600秒
    ->page($page)
    ->limit($limit)
    ->select();

After completing the above steps, we can implement the front-end multi-condition combination query submission function. In actual use, if the amount of query data is very large, we can also consider using other optimization methods, such as asynchronous loading, distributed query, etc.

Summary

This article introduces the method of using the ThinkPHP5 framework to implement front-end multi-condition combination query submission. In this way, we can quickly and easily implement complex query functions and improve development efficiency and code quality. At the same time, we also introduced how to enable query caching to reduce the burden on the database and further improve query efficiency.

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