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Implementation of the Neos NodeSearchServiceInterface using the Elasticsearch index

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PunktDe.Elastic.NodeSearchService

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This is an implementation of the Neos NodeSearchService using the Elasticsearch index of the content repository. This vastly reduces the query time for Search-As-You-Type fields in the backend if you have lots of nodes in your project. Additionally it is highly customizable in order to get the best search experience for the project.

Multiple search strategies can be defined which are then selected according to the SearchNodeType, StartingPoint and the term. With this feature you are able to sort news documents returned in a reference selector by publish date while other documents are sorted alphabetically.

Note: While the original database search does a like search in all properties of the document, the default strategy of this package only does a prefix search in the title field. Replace it with the search strategy that fit your needs.

The following example shows a reference selector for news articles with 23 000 Documents.

Example

Installation

The installation is done with composer:

composer require punktde/elastic-nodesearchservice

Compatibility to Flowpack.ElasticSearch.ContentRepositoryAdaptor:

Elastic.NodeSearchService ElasticSearch.ContentRepositoryAdaptor
1 5.x, 6.x
2 7.x

Configuration

Example

This example uses a multi_match prefix query to search in the punktde_node_search field indexed for documents.

PunktDe:
  Elastic:
    NodeSearchService:
      logRequests: true
      searchStrategies:
        position: end
        titlePrefix:
          condition: '${Array.indexOf(searchNodeTypes, "Neos.Neos:Document")}'
          request:
            query:
              bool:
                filter:
                  bool:
                    minimum_should_match: 1
                    should:
                      - multi_match:
                          query: ARGUMENT_TERM
                          type: bool_prefix
                          fields: ['punktde_node_search', 'punktde_node_search._2gram', 'punktde_node_search._3gram']
		    must:
		      - terms:
			  neos_type_and_supertypes: ARGUMENT_SEARCHNODETYPES
		      - term:
			  neos_parent_path : ARGUMENT_STARTINGPOINT
		    must_not:
		      - term:
			  neos_hidden: true
            _source:
              - __path
            size: 20

The position determines in which order the strategy conditions are evaluated.

The condition is an Eel query, which can be parametrized by the following values. It is used to determine the search strategy to be used. If no search strategy could be found, it falls back to database search.

ParameterName Description
string term The search term
array searchNodeTypes Array of the search nodetypes
Context context The given node context
NodeInterface startingPoint The defined starting point

These following parameters can be used in the search request to parametrice the query:

ParameterName Description
ARGUMENT_SEARCHNODETYPES Array_Values of the filter NodeTypes.
ARGUMENT_TERM The Searchterm
ARGUMENT_STARTINGPOINT The startingPoint path

Tip: Use a marker nodeType to determine the best search strategy

Sometimes reference editors for certain nodeTypes profit from custom search strategies. Eg. Only list document nodes that are visible and have a certain property set. We have limited options to determine a search strategy, thus we use the following trick:

  1. Define a marker nodeType
'Vendor:SearchStrategyMarker.ListableEventSearch':
  abstract: true
  1. Use this marker nodeType in your referenceEditor
    events:
      type: references
      ui:
        inspector:
          editorOptions:
            nodeTypes: ['Vendor:Documents.Event', 'Vendor:SearchStrategyMarker.ListableEventSearch']
  1. Use this nodeType within the search strategy condition
...
        eventSearchTitlePrefix:
          condition: '${Array.indexOf(searchNodeTypes, "Vendor:SearchStrategyMarker.ListableEventSearch") != -1}'
...

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Implementation of the Neos NodeSearchServiceInterface using the Elasticsearch index

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