FacetSearch

Conduct a FacetSearch in Meilisearch.

Perform a facet search from a Meilisearch DB. WARNING: make sure to set the filterable attributes before.

yaml
type: "io.kestra.plugin.meilisearch.FacetSearch"

Sample facet search

yaml
id: meilisearch_facet_search_flow
namespace: company.team

variables:
  index: movies
  facetQuery: fiction
  facetName: genre
  host: http://172.18.0.3:7700/

tasks:
  - id: facet_search_documents
    type: io.kestra.plugin.meilisearch.FacetSearch
    index: "{{ vars.index }}"
    facetQuery: "{{ vars.facetQuery }}"
    facetName: "{{ vars.facetName }}"
    filters:
      - "rating > 3"
    url: "{{ vars.host }}"
    key: "{{ secret('MEILISEARCH_MASTER_KEY') }}"

  - id: to_json
    type: io.kestra.plugin.serdes.json.IonToJson
    from: "{{ outputs.search_documents.uri }}"

Facet name

Name of the facet you wan to perform a search on (ex: facetName: "genre" on a film collection)

Index

Index of the collection you want to search in

Meilisearch connection key.

Meilisearch connection URL.

Facet query

Query that will be used on the specified facetName

SubType string

Default []

Filters

Additional filters to apply to your facet search

Hits number

Number of items hit by the facet search request

Format uri

URI to output

Results URI to an Amazon .ion file

​Facet​Search

FacetSearch