Configuration
editConfiguration
editSearch UI uses a configuration object to tailor search to your needs. It consists of three parts:
- Search query
- Autocomplete query
- Event hooks
See below for details on each part.
See React API page for more information on how to use the configuration with the SearchProvider.
Search Query (QueryConfig)
editThis is the configuration for the main search query. Some of these configuration options are not supported by some connectors. Each connector will document the options that are not supported.
searchQuery: { filters: [{ field: "world_heritage_site", values: ["true"] }], facets: { states: { type: "value", size: 30 }, } disjunctiveFacets: ["states"], // Array of field names to use for disjunctive searches disjunctiveFacetsAnalyticsTags: ["Ignore"], conditionalFacets: {}, search_fields: { title: {}, description: {} }, result_fields: { title: { snippet: { size: 100, fallback: true } }, nps_link: { raw: {} } } }
Filters (Global Filters)
editUsing Query Config, it is possible to create "Global" filters. "Global filters" are filters that are added to every query. The user has no control over whether or not this filter is added or removed, it doesn’t show up in the query string, and is completely transparent to the user. It is applied IN ADDITION to filters which the user applies.
filters: [ // value filter example { field: "world_heritage_site", values: ["true"] }, // Range filter example { field: "acres", values: [{ from: 0, to: 1000, name: "Small" }] } ]
Facets
editTells Search UI to fetch facet data that can be used with Facet Components.
facets: { // example of a value facet states: { type: "value", size: 30 }, // example of a numeric range facet acres: { type: "range", ranges: [ { from: -1, name: "Any" }, { from: 0, to: 1000, name: "Small" }, { from: 1001, to: 100000, name: "Medium" }, { from: 100001, name: "Large" }, ], }, // example of a date range facet date_established: { type: "range", ranges: [ { from: "1950-10-05T14:48:00.000Z", name: "Within the last 50 years", }, { from: "1900-10-05T14:48:00.000Z", to: "1950-10-05T14:48:00.000Z", name: "50 - 100 years ago", }, { to: "1920-10-05T14:48:00.000Z", name: "More than 100 years ago", }, ], // example of a geo location range facet location: { // center location to base ranges off of center: "37.7749, -122.4194", type: "range", unit: "mi", ranges: [ { from: 0, to: 100, name: "Nearby" }, { from: 100, to: 500, name: "A longer drive" }, { from: 500, name: "Perhaps fly?" }, ], }, } }
Disjunctive Faceting
edit"Disjunctive" facets are facets that do not change when a selection is made. Meaning, all available options will remain as selectable options even after a selection is made.
Configured in the searchQuery.disjunctiveFacets array. An array of field names. Every field listed here must have been configured in the facets field first. It denotes that a facet should be considered disjunctive. When returning counts for disjunctive facets, the counts will be returned as if no filter is applied on this field, even if one is applied.
Used in conjunction with the disjunctiveFacets parameter. Adding disjunctiveFacets can cause additional API requests to be made to your API, which can create deceiving analytics. These queries will be tagged with "Facet-Only" by default. This field lets you specify a different tag for these.
Example, use ignore as a tag on all disjunctive API calls:
disjunctiveFacetsAnalyticsTags: ["ignore"];
Conditional Faceting
editSee Conditional Faceting for more information.
search_fields
editFields which should be searched with search term.
search_fields: { title: { weight: 10, }, description: {}, tags: { weight: 5, } }
Apply Weights to each search field.
Engine level Weight settings will be applied is none are provided.
Query time Weights take precedence over Engine level values.
All fields specified within the search relevance section will be used for searching if not specified.
result_fields
editSelect from two ways to render text field values:
- Raw: An exact representation of the value within a field. And it is exact! It is not HTML escaped.
-
Snippet: A snippet is an HTML escaped representation of the value within a field, where query matches are captured in
<em>
tags.
A raw field defaults to the full field with no character limit outside of max document size. A custom range must be at least 20 characters.
A snippet field defaults to 100 characters. A custom range must be between 20-1000 characters.
Only text fields provide these two options, as they are functions of the deep full-text search capabilities of App Search.
Raw
editresult_fields: { title: { raw: {} }, description: { raw: { size: 50 } } }
field | description |
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|
Number - Optional. Length of the return value. Only can be used on text fields. Must be at least 20; defaults to the entire text field. If given for a different field type other than text, it will be silently ignored. |
Snippet (Highlighting)
editRequests a snippet of a text field.
The query match will be wrapped in <em></em>
tags, for highlighting, if a match exists.
Use escaped quotations to highlight only on exact, case insensitive matches.
Matches are HTML escaped prior to inserting <em></em>
tags. Fallbacks are also HTML escaped.
If requesting a snippet on a non-text field, the snippet field will be null.
If there is no match for your query, the snippet field will be null.
Snippets on an array value will return the first match or null. There is no fallback support.
On synonyms: If a search finds a synonym for a query, the synonym will not be highlighted.
For example, if "path" and "trail" are synonyms and a query is done for "path", the term "trail" will not be highlighted.
result_fields: { title: { snippet: { size: 100, fallback: true } }, description: { raw: { size: 50 } } }
field | description |
---|---|
|
Character length of the snippet returned. Must be at least 20; defaults to 100. |
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If true, fallback to the raw field if no match is found. |
Autocomplete Query
editThis is the configuration that provide relevant query suggestions for incomplete queries. Some of these configuration options are not supported by some connectors. Each connector will document the options that are not supported.
autocompleteQuery: { // performs a prefix search on the query results: { resultsPerPage: 5, // number of results to display. Default is 5. result_fields: { // Add snippet highlighting within autocomplete suggestions title: { snippet: { size: 100, fallback: true }}, nps_link: { raw: {} } } }, // performs a query to suggest for values that partially match the incomplete query suggestions: { types: { // Limit query to only suggest based on "title" field documents: { fields: ["title"] } }, // Limit the number of suggestions returned from the server size: 4 } }
Results
editresults
will perform autocomplete on the query being typed. This will give back results that are relevant to the query before the user has typed any additional characters.
results: { resultsPerPage: 5, result_fields: { title: { snippet: { size: 100, fallback: true }}, nps_link: { raw: {} } } },
field | description |
---|---|
|
Optional. Number type. Number of results suggested |
|
Optional. To specify the fields for each result hit. Use same configuration as result fields |
Suggestions
editSuggestions Query configuration for Search UI largely follows the same API as the App Search Search API.
{ "types": { "documents": { "fields": ["title", "states"] } }, "size": 4 }
option | type | required? | source |
---|---|---|---|
|
Object |
required |
Object, keyed by "type" of query suggestion, with configuration for that type of suggestion. |
|
Integer |
optional |
Number of suggestions to return. |
Result Suggestions
editSupported only by the Elasticsearch-connector.
A different index can be used for the suggestions. Some examples:
- Popular queries index from analytics
- Brands index from product data
- Categories index from product data
Below we are using the popular_queries
index and performing a prefix match search on the query.suggest
field. One thing to note, make sure the api-key has access to the index.
See Example retrieving suggestions from another index for more information.
autocompleteQuery: { suggestions: { popularQueries: { search_fields: { "query.suggest": {} // fields used to query }, result_fields: { query: { // fields used for display raw: {} } }, index: "popular_queries", queryType: "results" } } }
Event Hooks
editSearch UI exposes a number of event hooks which need handlers to be implemented in order for Search UI to function properly.
The easiest way to provide handlers for these events is via an out-of-the-box "Connector", which provides pre-built handlers, which can then be configured for your particular use case.
While we do provide out-of-the-box Connectors, it is also possible to implement these handlers directly, override Connector methods, or provide "middleware" to Connectors in order to further customize how Search UI interacts with your services.
Event Handlers
editmethod | params | return | description |
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This method logs a click-through event to your APIs analytics service. This is triggered when a user clicks on a result on a result page. |
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The query used to generate the current results. |
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The id of the result that a user clicked. |
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- |
A unique id that ties the click to a particular search request. |
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Tags used for analytics. |
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This method logs a click-through event to your APIs analytics service. This is triggered when a user clicks on a result in an autocomplete dropdown |
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- |
The query used to generate the current results. |
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The id of the result that a user clicked. |
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- |
A unique id that ties the click to a particular search request. |
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- |
Tags used for analytics. |
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If this is set, results should be returned for autocomplete. |
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- |
If this is set, query suggestions should be returned for autocomplete. |
Explicitly providing a Handler will override the Handler provided by the Connector.
<SearchProvider config={{ apiConnector: connector, onSearch: async (requestState, queryConfig) => { const queryForOtherService = transformSearchUIStateToQuery( requestState, queryConfig ); const otherServiceResponse = await callSomeOtherService( queryForOtherService ); return transformOtherServiceResponseToSearchUIState(otherServiceResponse); } }} />
Using middleware in Connector Handlers
editHandler implementations can also be used as middleware for Connectors by leveraging
the next
function.
<SearchProvider config={{ apiConnector: connector, onSearch: (requestState, queryConfig, next) => { const updatedState = someStateTransformation(requestState); return next(updatedState, queryConfig); } }} />
Routing Options
editSearch UI provides a number of options for how to customise how state is serialised onto the URL. Within the config there is a routingOptions
object which can be used to override the serialisation and parsing of the url to state.
Below is an example of how to use the routingOptions
object to customise the url to be more SEO friendly.
This will result in the url pattern being like https://example.com/search/california,alaska?query=shoes
const routingOptions = { readUrl: () => { return asPath; }, writeUrl: (url, { replaceUrl }) => { const method = router[replaceUrl ? "replace" : "push"]; method(url); }, stateToUrl: (state) => { const statesFilter = state.filters.find( (filter) => filter.field === "states" ); const states = statesFilter ? statesFilter.values.join(",") : "all"; return `/search/${states}?query=${state.searchTerm}`; }, urlToState: (url) => { const match = url.match(/\/search\/(\w+)\?query=(\w+)/); if (!match) return {}; return { searchTerm: match[2], filters: [{ field: "states", values: [match[1].split(",")], type: "any" }] }; } }; const config = { // search UI config routingOptions: routingOptions };