首先自己先根据GitHub上的yii2-elasticsearch进行安装,对elasticsearch一些基本的文档内容要大体有些了解,可以进官网进行查看文档,这里就不过多介绍,直接上有关Yii2源码部分,一看就懂。gitGitHub - yiisoft/yii2-elasticsearch: Yii 2 Elasticsearch extensionYii 2 Elasticsearch extension. Contribute to yiisoft/yii2-elasticsearch development by creating an account on GitHub.https://github.com/yiisoft/yii2-elasticsearch/model部分:
[ 'id'=> ['type' => 'integer'], 'title'=> ['type' => 'text','analyzer'=>'ik_smart'], 'content'=> ['type' => 'text','analyzer'=>'ik_smart'], 'status'=> ['type' => 'integer'], 'author'=> ['type' => 'text','analyzer'=>'ik_smart'], ] ]; } public static function createIndex() { $db = static::getDb(); $command = $db->createCommand(); $command->createIndex(static::index(), [ 'mappings' => static::getMapping(), ]); } public function checkIndex() { $db = self::getDb(); $command = $db->createCommand(); if (!$command->indexExists(self::index())) { return false; }else{ return true; } } }
控制器部分:
checkIndex()){ $es::createIndex(); echo '创建成功'; die; } echo '已创建';die; } //搜索 public function actionEsSearch() { $page = Yii::$app->request->get('page') ?: 1; $page_size = Yii::$app->request->get('pageSize') ?: 10; $keyword = Yii::$app->request->get('keyword') ?: ''; $offset = ($page - 1) * $page_size; $es = new document(); //此处组装query有点小坑,可以根据es文档把json转为数组,不然容易出错 //此处的条件相当于where status in (1,2) and (title like '%keyword%' or content like '%keyword%') $query = [ 'bool' => [ 'must' => [ [ 'terms' => [ 'status' => [1,2], ], ], [ 'bool' => [ 'should' => [ [ 'match' => [ 'title' => [ 'query' => $keyword, 'boost' => 1, //权重 ], ] ], [ 'match' => [ 'content' => [ 'query' => $keyword, 'boost' => 1, //权重 ], ] ], ], ], ], ], ], ]; $hightlight = [ "pre_tags" => [''],//要高亮的颜色css的class "post_tags" => [''], "fields" => [ 'content' => new stdClass(), 'title' => new stdClass() ] ]; $es_data = $es::find() ->source(['id', 'title', 'content', 'status','author']) ->query($query) ->highlight($hightlight) ->offset($offset) ->limit($page_size) ->asArray() ->all(); echo json_encode($es_data);//打完收工 exit; } //搞点数据测试 public function actionSetEsContent() { $document = new document(); $document->id = 1; // setting primary keys is only allowed for new records $document->title = '大佬'; // attributes can be set one by one $document->content = '大佬6666'; $document->status = 1; $document->author = '牛皮'; $res = $document->save(); } }
先执行创建index的方法:
可以看到kibana后台界面已经成功创建出document。(kibana是es的可视化界面可以在官网查看安装文档,安装对应es版本即可)
下一步我们执行创建假数据的接口actionSetEsContent,改变数据执行多几遍搞多几条数据,开发时可以写一个同步文章的命令行接口,定时执行把文章更新到es。
此时kibana里已经有一条数据。
最后我们执行搜索接口actionEsSearch
打完收工。。。。
欢迎分享,转载请注明来源:内存溢出
评论列表(0条)