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Drupal 8 search with Elasticsearch

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  • Install module
  • Create an index on Elasticsearch engine
  • Create a view
  • Attach facet filters

The Search API module needs Elasticsearch PHP library which provides the abstract layer of Elasticsearch Connector module in Drupal. This can be installed through composer.

$ composer require nodespark/des-connector:5.x-dev

$ composer update

Add Elasticsearch

Go to Configuration > Search and metadata > Elasticsearch Connector.

Click “Add Cluster” and configure the Server.

 

Go to Configuration > Search and metadata > Elasticsearch Connector. Click “Add Cluster” and configure the server.

As default, it is “elasticsearch.” If you want to edit the cluster/node information, edit elasticsearch.yml file.

 

Go to  Configuration > Search and metadata > Search API.

Click “Add Index”

 

 

Selecting the “Content” data source, options are presented to select which bundles are to be indexed

 

Before search can be performed, select all the fields that should be available to search. That is configured in the “Fields” tab.

 

 

Last step is to add additional

’processors’.

This includes items such as:

  • Content access
  • Ignore case (case-insensitive search)
  • Tokenizer (split into individual words)

 

Once fields and processors are set up, go back to

the ”View” tab. It will show the status of the index, and at this point, the content is ready to be indexed if not already set to index immediately when the index is created.

Indexing of content is done via cron and any new

content will get indexed then.

 

  1. Go to Structure > Add view
  2. Provide a view name and select your index name as the view source
  3. Under Format > Show, select “Rendered Entity”

Or, you can select “Fields” and add each field you would like to display  in the Fields section.

  1. Under Filter Criteria, add “Fulltext search” field and expose the field for filtering
  2. Add Sort Criteria: The best one to use is “Relevance (desc)”

With the search page setup now, we want to add facets to let users filter down content. Navigate to Configuration > Search and metadata > Facets then click “Add facet”

 

Last step, place the newly created Facet blocks on the Block Layout page

 

 

  • The Elastic Stack (Elasticsearch, Logstash, and Kibana) can interactively search, discover, and analyze to gain insights that improve the analysis of time-series data.
  • No need for upfront schema definition. Schema can be defined per type for customization of indexing process.
  • Has an edge in the cloud environment – this is depend upon SolrCloud advancement.
  • Has advantages of search for enterprise or higher-ed level where analytics plays a bigger role.

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