Design practice of high-performance product search engine based on Swoole

With the booming development of e-commerce, product search engines have become an essential component. An efficient and accurate search engine is one of the core competitiveness of e-commerce platforms. This article introduces its implementation methods and advantages through the design practice of product search engine based on the Swoole framework.

1. Swoole Framework

Swoole is a PHP asynchronous network communication engine for production environments. It has extremely high performance and scalability. Swoole extends the coroutines, asynchronous IO and other features of the PHP language, making full use of CPU and IO resources through the event-driven model to improve performance and throughput.

2. High-performance product search engine design

(1) Architecture design

The product search engine based on the Swoole framework is mainly divided into three layers:

1. Front-end Web server layer: Responsible for processing HTTP requests and responses, receiving user query requests, and sending requests to the middle layer.
2. Middle layer: Responsible for processing user requests and product data, filtering out matching product data through search algorithms, and returning the results to the front-end layer.
3. Data storage layer: Responsible for storing commodity data and achieving high availability and load balancing of data through distributed databases.

Among them, the middle layer is the core part of the entire system and requires the use of efficient algorithms to process a large amount of commodity data. Commonly used search algorithms include inverted index, full-text search, etc. This article uses the inverted index algorithm, which mainly includes the following steps:

1. Perform word segmentation processing on the product data to generate a keyword set. You can use Chinese thesaurus or English thesaurus.
2. Create an inverted index table for each keyword and record which product data it appears in.
3. According to the keywords queried by the user, search the matching product data in the inverted index table, and perform sorting and filtering operations to obtain the final search results.

(2) Optimizing performance

In order to improve the performance and throughput of the system, the following optimization measures can be adopted:

1. Use cache technology to Commonly used product data is cached in memory to avoid reading the database for every request.
2. Use distributed cluster technology to disperse product data on multiple nodes to improve system availability and load balancing capabilities.
3. Use asynchronous IO technology to optimize the system's concurrent processing capabilities and improve the server's response speed.
4. Avoid invalid search requests and filter user query conditions through the front-end layer to reduce the burden on the middle layer.

(3) Implementation methods

The following are sample codes for some implementation methods:

1. Commodity data operation class:

<?php

class Product
{
    public function getById($id)
    {
        // 从数据库或缓存中获取指定ID的商品数据
    }

    public function search($keywords)
    {
        // 根据关键词查询商品数据并进行排序和过滤操作，返回结果
    }
}

2. Middle layer class:

<?php

class SearchEngine
{
    private $product;

    public function __construct()
    {
        $this->product = new Product();
    }

    public function search($keywords)
    {
        // 调用商品数据操作类的方法，获取结果
        $data = $this->product->search($keywords);

        // 对结果进行处理，返回给前端层
        return $this->formatData($data);
    }

    private function formatData($data)
    {
        // 格式化结果，生成JSON格式的数据
        return json_encode($data);
    }
}

3. Front-end layer code:

<?php

require_once 'vendor/autoload.php';

$http = new swoole_http_server('0.0.0.0', 80);

$http->on('request', function ($request, $response) {
    // 获取用户查询的关键词
    $keywords = $request->get['keywords'];

    // 调用中间层类的方法，进行商品搜索
    $searchEngine = new SearchEngine();
    $result = $searchEngine->search($keywords);

    // 返回搜索结果
    $response->header('Content-Type', 'application/json');
    $response->end($result);
});

$http->start();

The above code is a simplified version of the implementation code, which is required in actual development Make appropriate adjustments and optimizations based on specific needs.

3. Summary

This article introduces the design practice of a product search engine based on the Swoole framework. By using efficient search algorithms and optimizing performance measures, a high-performance, high-quality product search engine can be achieved. With the continuous development of the e-commerce market, the needs and challenges of product search engines are also increasing. Only through continuous optimization and upgrading can we better respond to market changes and user needs.

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