How to use Elasticsearch in PHP programming?

PHPz
Release: 2023-06-12 13:26:01
Original
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With the development of big data and cloud computing technology, search engines are also constantly innovating. Elasticsearch, a full-text search engine based on Lucene, has become a popular choice. Here we will introduce how to use Elasticsearch in PHP programming.

  1. Installing Elasticsearch

First, we need to install and set up Elasticsearch. Elasticsearch can be downloaded and installed on the official website. For specific installation methods, please refer to the official documentation.

  1. Install the Elasticsearch client for PHP

To use Elasticsearch in PHP programming, you need to install the Elasticsearch client. There are many Elasticsearch clients for PHP, such as elasticsearch.php, elastica, Ruflin/Elastica, etc. Here we take elastica as an example. It is based on the PHP client API officially provided by Elasticsearch, which encapsulates Elasticsearch and is relatively simple to use.

You can use Composer to install the Elasticsearch client:

composer require ruflin/elastica
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Then use:

require 'vendor/autoload.php';
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in the code to load the Elasticsearch client.

  1. Connecting to Elasticsearch

Before using Elasticsearch, you need to connect to the Elasticsearch server. The connection process requires specifying the host name and port number of the Elasticsearch server.

$client = new ElasticaClient([
    'host' => 'localhost',
    'port' => 9200
]);
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Here, use localhost and port number 9200 to connect to the local Elasticsearch server.

  1. Create Index

In Elasticsearch, all data is stored in the index. When using Elasticsearch, you need to create an index first. For example, you can create an index named "my_index":

$index = $client->getIndex('my_index');
$index->create(array(), true);
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Here, use the getClient() method to obtain its corresponding index, and call the create() method to create the index.

  1. Add document

In Elasticsearch, a document is the smallest unit of data, similar to a document in MongoDB. You can use the Index class to add documents to the index:

$document = array('title' => 'My title', 'content' => 'My content');
$index = $client->getIndex('my_index');
$type = $index->getType('my_type');
$newDocument = new ElasticaDocument(null, $document);
$type->addDocument($newDocument);
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Here first create an associative array to represent the document, then use the getType() method to get the type in the index, and then use the addDocument() method to add the document.

  1. Search for documents

In Elasticsearch, searching for documents is a very common operation. You can use the Query class to construct a query statement:

$elasticaQuery = new ElasticaQuery();
$matchQuery = new ElasticaQueryMatch();
$matchQuery->setFieldQuery('title', 'My');
$elasticaQuery->setQuery($matchQuery);
$searchResult = $type->search($elasticaQuery);
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Here, a Match query is used to specify the fields to be searched and the search keywords. You can perform a search by passing a query object into the search() method using the setQuery() method.

  1. Modify the document

In Elasticsearch, modification operations can be achieved by updating the document. You can use the Document class to update the document:

$document = array('title' => 'My new title', 'content' => 'My new content');
$newDocument = new ElasticaDocument($document);
$type->updateDocument($newDocument);
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Here first create a new document object to represent the document content to be updated, and then use the updateDocument() method to update the document.

  1. Delete document

You can use the Document class or Type class to delete the document:

// 使用Document类删除文档
$document = $type->getDocument(1);
$document->delete();

// 使用Type类删除文档
$type->deleteById(1);
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Here use the delete() method of the Document class or the Type class deleteById() method to delete the document.

Summary

The above is the basic operation method of using Elasticsearch in PHP programming. Although Elasticsearch has many advanced applications, these methods can satisfy general search needs. I hope it will be helpful to PHP developers using Elasticsearch.

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