首先我们需要先去安装elasticsearch的SDK

composer require elasticsearch/elasticsearch #安装PHP Client for Elasticsearch

然后封装自己的类

<?php
namespace App\Library\own;

use Elasticsearch\ClientBuilder;
/**
 * 
 */
class ElasticSearch
{

    private static $client;

    public function __construct()
    {
        if (!self::$client) {
            self::$client = ClientBuilder::create()->setHosts(['xx.xx.xx.xx'])->build();
        }
    }


    /**
     * [createIndex 创建一个索引,类似MySQL的一个库]
     * @param  [type] $index [description]
     * @return [type]        [description]
     */
    public function createIndex($index)
    {
        $params = [
            'index' =>  $index,
            'body'  =>  [
                'settings'  =>  [
                    'number_of_shards'  =>  5,
                    'number_of_replicas'    =>  1
                ]
            ]
        ];

        $response = self::$client->indices()->create($params);

        return $response;
    }


    /**
     * [createDoc 新建一条数据]
     * @param  [type] $index [索引]
     * @param  [type] $type  [类型]
     * @param  [type] $id    [数据ID 可以不要,elasticsearch会自动给你创建一个]
     * @param  [type] $body  [数据]
     * @return [type]        [description]
     */
    public function createDoc($index, $type, $id, $body)
    {
        $params = [
            'index' =>  $index,
            'type'  =>  $type,
            'id'    =>  $id,
            'body'  =>  $body
        ];

        $response = self::$client->index($params);

        return $response;
    }


    /**
     * [getDoc 获取一条数据]
     * @param  [type] $index [索引位置]
     * @param  [type] $type  [类型]
     * @param  [type] $id    [数据ID]
     * @ignore 如果想忽略异常 可以配置ignore参数
     * @return [type]        [description]
     */
    public function getDoc($index, $type, $id)
    {
        $params = [
            'index' => $index,
            'type' => $type,
            'id' => $id,
            'client'    =>  [
                'ignore'    =>  404
            ]
        ];

        $response = self::$client->get($params);

        return $response;
    }


    /**
     * [search 执行搜索]
     * @param  [type] $index [description]
     * @param  [type] $type  [description]
     * @param  [type] $body  [description]
     * @return [type]        [description]
     */
    public function search($index, $type, $body)
    {
        $params = [
            'index' =>  $index,
            'type'  =>  $type,
            'body'  =>  $body,
            'client'    =>  [
                'ignore'    =>  [400, 404]
            ]
        ];

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

        return $response;
    }
}

一个简单的匹配查询并且根据id倒序

$body = [
	'query' => [
		'match' => [
			'title' => 'Linux'
		]
	],
	'sort' => [
		['id' => ['order' => 'desc']]
	]
];
#这个查询就等同于 SELECT * FROM article WHERE title LIKE '%Linux%' ORDER BY id DESC
$esClient = new ElasticSearch();
$result = $esClient->search('test', 'article', $body);

$body = [
            'query' =>  [
                'constant_score'    =>  [
                    'filter'    =>  [
                        'range' =>  [
                            'id'    =>  [
                                [
                                    'gt'    =>  15,
                                    'lt'    =>  19
                                ]
                            ]
                        ]
                    ]
                ]
            ]
        ];
#这个查询就等同于 SELECT * FROM article WHERE id> 15 AND id < 19
$body = [
            'query' =>  [
                'bool'  =>  [
                    'filter'    =>  [
                        'term'    =>  [
                            'id'    =>  15
                        ]
                    ],
                    'must' =>  [
                        'match_all' =>  new \StdClass() 
                    ]
                ],
            ]
        ];
#这个查询就等同于 SELECT * FROM article WHERE id = 15
 $body = [
            'query' =>  [
                'bool'  =>  [
                    'must'  =>  [
                        [
                            'term'  =>  [
                                'title' =>  'Linux下面的ab工具压测详细参数'
                            ]
                        ],
                        [
                            'term'  =>  [
                                'id'    =>  19
                            ]
                        ]
                    ]
                ]
            ]
        ];
#这个查询就等同于 SELECT * FROM article WHERE title = 'Linux下面的ab工具压测详细参数' AND id = 19

以上只是个别的用法,其他的可以参考这里