About the correct posture of using es in laravel

The following tutorial column ofLaravelwill introduce you to the correct posture of using es in laravel. I hope it will be helpful to friends in need!

##Elasticsearch Introduction

The bottom layer of Elastic is the open source library

Lucene. However, you cannot use Lucene directly, you must write your own code to call its interface. Elastic is a package of Lucene and provides a REST API operation interface that can be used out of the box.

Course Recommendation→:"Elasticsearch Full Text Search Practical Combat"(Practical Video)

From the course

"Ten Million Level Data Concurrency Solution (Theoretical Practical)》

ES and Mysql

The concepts in ES are analogous to Mysql as follows As shown in the picture:

Inverted index

Before talking about inverted index, let’s first talk about what is forward index index. Forward index is also called "forward index", which is the basis for creating inverted index.

As above, when querying which documents a keyword is contained in, all documents need to be scanned to ensure that there are no omissions. This will greatly extend the retrieval time and reduce the retrieval efficiency. At this time we used the inverted index, first segmenting the document into words.

For example, we want to query in which documents the keyword 'search engine' appears. First, we can use the inverted index to query the document positions where the keyword appears in 1 and 3; then we can query the contents of documents 1 and 3 through the forward index and return the results.

Laravel uses ES

Installing plugins

basemkhirat/elasticsearchis an extension for using ES in Laravel. It is very convenient to use:1) Installation method

$ composer require basemkhirat/elasticsearch

2) Publish

$ php artisan vendor:publish –provider=”Basemkhirat\Elasticsearch\ElasticsearchServiceProvider”

configuration

In this way we have installed it. The following is our connection configuration:

'connections' => [ 'default' => [ 'servers' => [ [ "host" => env("ELASTIC_HOST", "127.0.0.1"), "port" => env("ELASTIC_PORT", 9200), 'user' => env('ELASTIC_USER', ''), 'pass' => env('ELASTIC_PASS', ''), 'scheme' => env('ELASTIC_SCHEME', 'http'), ] ], 'index' => env('ELASTIC_INDEX', 'my_index') ]],

servers where we can add our cluster configuration.

Usage method

The usage method of this plug-in can be used for reference from Laravel’s query constructor, which supports commonly used ones such as

where,whereIn,whereBetween,orderBy,first,get, also supports the paging methodpaginate.

$documents = ES::connection(“default”)

->index(“my_index”)
->type(“my_type”)
;get(); # return a collection of results

Set field weight:

ES::type(“my_type”)->search(“hello” , function($search){

$search->boost(2)->fields([“title” => 2, “content” => 1])
})-> get();

We can also modify the source code to expand the methods we need, or we can construct native query statements:

$params['body'] = [ 'aggs' => [ 'all_created' => [ 'terms' => [ 'field' => 'element.raw', 'size' => $this->_mAggsPageSize ], 'aggs' => [ 'sum_pv' => [ 'sum' => ['field' => 'pv'], ], ], ], ], ];

Conclusion

ES built-in tokenizer is not friendly to middle splitting support. The more recommended one isIK tokenizer. It should be noted that theik version needs to be consistent with the ES version number.

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