ElasticsearchOptions

Package: @vendure/elasticsearch-plugin File: options.ts

Configuration options for the ElasticsearchPlugin.

Signature

interface ElasticsearchOptions {
  host?: string;
  port?: number;
  clientOptions?: ClientOptions;
  indexPrefix?: string;
  batchSize?: number;
  searchConfig?: SearchConfig;
  customProductMappings?: {
        [fieldName: string]: CustomMapping<[Product, ProductVariant[]]>;
    };
  customProductVariantMappings?: {
        [fieldName: string]: CustomMapping<[ProductVariant]>;
    };
}

Members

host

property

type:

string

default:

'http://localhost'

The host of the Elasticsearch server. May also be specified in clientOptions.node.

port

property

type:

number

default:

9200

The port of the Elasticsearch server. May also be specified in clientOptions.node.

clientOptions

property

type:

ClientOptions

Options to pass directly to the Elasticsearch Node.js client. For example, to set authentication or other more advanced options. Note that if the node or nodes option is specified, it will override the values provided in the host and port options.

indexPrefix

property

type:

string

default:

'vendure-'

Prefix for the indices created by the plugin.

batchSize

property

type:

number

default:

2000

Batch size for bulk operations (e.g. when rebuilding the indices).

searchConfig

property

type:

SearchConfig

Configuration of the internal Elasticseach query.

customProductMappings

property

type:

{ [fieldName: string]: CustomMapping<[Product, ProductVariant[]]>; }

Custom mappings may be defined which will add the defined data to the Elasticsearch index and expose that data via the SearchResult GraphQL type, adding a new customMappings field.

The graphQlType property may be one of String, Int, Float, Boolean and can be appended with a ! to indicate non-nullable fields.

This config option defines custom mappings which are accessible when the “groupByProduct” input options is set to true.

Example

customProductMappings: {
   variantCount: {
       graphQlType: 'Int!',
       valueFn: (product, variants) => variants.length,
   },
   reviewRating: {
       graphQlType: 'Float',
       valueFn: product => (product.customFields as any).reviewRating,
   },
}

Example

query SearchProducts($input: SearchInput!) {
    search(input: $input) {
        totalItems
        items {
            productId
            productName
            customMappings {
                ...on CustomProductMappings {
                    variantCount
                    reviewRating
                }
            }
        }
    }
}

customProductVariantMappings

property

type:

{ [fieldName: string]: CustomMapping<[ProductVariant]>; }

This config option defines custom mappings which are accessible when the “groupByProduct” input options is set to false.

Example

query SearchProducts($input: SearchInput!) {
    search(input: $input) {
        totalItems
        items {
            productId
            productName
            customMappings {
                ...on CustomProductVariantMappings {
                    weight
                }
            }
        }
    }
}

SearchConfig

Package: @vendure/elasticsearch-plugin File: options.ts

Configuration options for the internal Elasticsearch query which is generated when performing a search.

Signature

interface SearchConfig {
  facetValueMaxSize?: number;
  multiMatchType?: 'best_fields' | 'most_fields' | 'cross_fields' | 'phrase' | 'phrase_prefix' | 'bool_prefix';
  boostFields?: BoostFieldsConfig;
  priceRangeBucketInterval?: number;
  mapQuery?: (
        query: any,
        input: ElasticSearchInput,
        searchConfig: DeepRequired<SearchConfig>,
        channelId: ID,
        enabledOnly: boolean,
    ) => any;
}

Members

facetValueMaxSize

property

type:

number

default:

50

The maximum number of FacetValues to return from the search query. Internally, this value sets the “size” property of an Elasticsearch aggregation.

multiMatchType

property

type:

default:

'best_fields'

Defines the multi match type used when matching against a search term.

boostFields

property

type:

BoostFieldsConfig

Set custom boost values for particular fields when matching against a search term.

priceRangeBucketInterval

property

type:

number

The interval used to group search results into buckets according to price range. For example, setting this to 2000 will group into buckets every $20.00:

{
  "data": {
    "search": {
      "totalItems": 32,
      "priceRange": {
        "buckets": [
          {
            "to": 2000,
            "count": 21
          },
          {
            "to": 4000,
            "count": 7
          },
          {
            "to": 6000,
            "count": 3
          },
          {
            "to": 12000,
            "count": 1
          }
        ]
      }
    }
  }
}

mapQuery

property

type:

(         query: any,         input: ElasticSearchInput,         searchConfig: DeepRequired<SearchConfig>,         channelId: ID,         enabledOnly: boolean,     ) => any

This config option allows the the modification of the whole (already built) search query. This allows for e.g. wildcard / fuzzy searches on the index.

Example

mapQuery: (query, input, searchConfig, channelId, enabledOnly){
    if(query.bool.must){
        delete query.bool.must;
    }
    query.bool.should = [
        {
            query_string: {
                query: "*" + term + "*",
                fields: [
                    `productName^${searchConfig.boostFields.productName}`,
                    `productVariantName^${searchConfig.boostFields.productVariantName}`,
                ]
            }
        },
        {
            multi_match: {
                query: term,
                type: searchConfig.multiMatchType,
                fields: [
                    `description^${searchConfig.boostFields.description}`,
                    `sku^${searchConfig.boostFields.sku}`,
                ],
            },
        },
    ];

    return query;
}

BoostFieldsConfig

Package: @vendure/elasticsearch-plugin File: options.ts

Configuration for boosting the scores of given fields when performing a search against a term.

Boosting a field acts as a score multiplier for matches against that field.

Signature

interface BoostFieldsConfig {
  productName?: number;
  productVariantName?: number;
  description?: number;
  sku?: number;
}

Members

productName

property

type:

number

default:

1

Defines the boost factor for the productName field.

productVariantName

property

type:

number

default:

1

Defines the boost factor for the productVariantName field.

description

property

type:

number

default:

1

Defines the boost factor for the description field.

sku

property

type:

number

default:

1

Defines the boost factor for the sku field.