PHP real-time search engine technology implementation

With the development of the Internet, search engines have become one of the important ways for people to obtain information. However, traditional search engines generally suffer from problems such as inaccurate search and slow search speed. In response to these problems, more and more developers have begun to try to implement real-time search engine technology, among which the technical implementation of PHP real-time search engine has become one of the hot topics.

1. The significance of real-time search engine

Real-time search engine is a search engine that can display the search results of relevant content in real time when the user enters keywords, so that the user can obtain the search results more quickly Find the information you need and improve your search experience. The implementation of real-time search engine technology helps accelerate the response speed of search engines and improve the accuracy of search results, thereby better meeting user needs.

2. Implementation of PHP real-time search engine technology

1. Prerequisites

The implementation of PHP real-time search engine technology requires the following conditions:

（ 1) A large number of data sets are required, including text, pictures and other data.

(2) ElasticSearch is required as the index engine.

(3) ElasticSearch needs to be configured, installed, etc.

(4) PHP needs to be used as the back-end language of the search engine.

2. Specific implementation process

(1) Install ElasticSearch

Use the command under the Linux system:

wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-5.4.0.tar.gz

tar -xzvf elasticsearch-5.4.0.tar.gz

cd elasticsearch-5.4.0/bin

./elasticsearch

After starting the ElasticSearch service, you can use it Test http://localhost:9200/. If it can be accessed normally, it means that ElasticSearch has been installed successfully.

(2) Create an index

In ElasticSearch, the data set is called a "document", which consists of multiple fields. Before creating an index, you need to first define its fields. Enter at the command line:

curl -XPUT 'http://localhost:9200/my_index/' -d '{

"mappings": {

"my_type": {

"properties": {

"name": {

"type": "string",

"index": "analyzed"

},

"description": {

"type": "string",

"index": "analyzed"

}

}

}

}

}'

This command creates an index named "my_index", which contains a document of type "my_type", which contains two fields name and description.

(3) Add data

In ElasticSearch, you can use the PUT command to add data. For example, enter at the command line:

curl -XPUT 'http://localhost:9200/my_index/my_type/1' -d '{

"name": "PHP语言",

"description": "PHP是一种常见的开发语言。"

}'

This command will add a document to the index named "my_index".

(4) Search data

In PHP, you can search for data by using the ElasticSearch client library. First you need to install the PHP ElasticSearch client library, and then use the following code to search in PHP:

<?php

require_once 'vendor/autoload.php';

$client = ElasticsearchClientBuilder::create()->build();

$params = [

'index' => 'my_index',

'type' => 'my_type',

'body' => [

'query' => [

'match' => [

'description' => '语言'

]

]

]

];

$response = $client->search($params);

print_r($response);

?>

This code block will search for data with the index name "my_index" and type "my_type", where the document contains Keyword "language".

3. Summary

PHP real-time search engine technology can improve the response speed of search engines, improve the accuracy of search results, and meet user needs. During implementation, you need to create indexes through ElasticSearch and use the PHP client library to search these data. Real-time search engine technology is an important direction for the development of the search engine industry, and it is expected that more innovations will appear in the future.

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