﻿---
title: Configure and Run Search UI
description: Next lets configure Search UI for our needs! Navigate to the config within app.js and update the following: In the above example, we configured the: query...
url: https://www.elastic.co/elastic/docs-builder/docs/3028/reference/search-ui/tutorials-elasticsearch-configure-search-ui
products:
  - Search UI
applies_to:
  - Elastic Cloud Serverless: Generally available
  - Elastic Stack: Generally available
---

# Configure and Run Search UI
## Configure Search UI

Next lets configure Search UI for our needs! Navigate to the config within app.js and update the following:
```js
const config = {
  searchQuery: {
    search_fields: {
      title: {
        weight: 3
      },
      plot: {},
      genre: {},
      actors: {},
      directors: {}
    },
    result_fields: {
      title: {
        snippet: {}
      },
      plot: {
        snippet: {}
      }
    },
    disjunctiveFacets: ["genre.keyword", "actors.keyword", "directors.keyword"],
    facets: {
      "genre.keyword": { type: "value" },
      "actors.keyword": { type: "value" },
      "directors.keyword": { type: "value" },
      released: {
        type: "range",
        ranges: [
          {
            from: "2012-04-07T14:40:04.821Z",
            name: "Within the last 10 years"
          },
          {
            from: "1962-04-07T14:40:04.821Z",
            to: "2012-04-07T14:40:04.821Z",
            name: "10 - 50 years ago"
          },
          {
            to: "1962-04-07T14:40:04.821Z",
            name: "More than 50 years ago"
          }
        ]
      },
      imdbRating: {
        type: "range",
        ranges: [
          { from: 1, to: 3, name: "Pants" },
          { from: 3, to: 6, name: "Mediocre" },
          { from: 6, to: 8, name: "Pretty Good" },
          { from: 8, to: 10, name: "Excellent" }
        ]
      }
    }
  },
  autocompleteQuery: {
    results: {
      resultsPerPage: 5,
      search_fields: {
        "title.suggest": {
          weight: 3
        }
      },
      result_fields: {
        title: {
          snippet: {
            size: 100,
            fallback: true
          }
        },
        url: {
          raw: {}
        }
      }
    },
    suggestions: {
      types: {
        results: { fields: ["movie_completion"] }
      },
      size: 4
    }
  },
  apiConnector: connector,
  alwaysSearchOnInitialLoad: true
};
```

In the above example, we configured the:
- query fields to search on title, plot, genre, actors and directors using the text fields
- result fields to display title, plot, genre, actors and directors using the text fields
- facets to display genre, actors and directors using the keyword fields
- we made the facets disjunctive for better user experience. The user can select more than one facet to expand their search.
- autocomplete results to suggest results with the same query fields as main search + returning some fields for display.

For more information on configuration, visit the [API configuration docs](https://www.elastic.co/elastic/docs-builder/docs/3028/reference/search-ui/api-core-configuration).

## Updating Components

We are going to do several steps here:
- update the `<Searchbox />` component to configure autocomplete
- remove sorting options
- add a `<Facet />` component for each facet field
- update the `<Results />` component to display all the fields

```jsx
<div className="App">
  <ErrorBoundary>
    <Layout
      header={
        <SearchBox
          autocompleteMinimumCharacters={3}
          autocompleteResults={{
            linkTarget: "_blank",
            sectionTitle: "Results",
            titleField: "title",
            urlField: "url",
            shouldTrackClickThrough: true
          }}
          autocompleteSuggestions={true}
          debounceLength={0}
        />
      }
      sideContent={
        <div>
          {wasSearched && <Sorting label={"Sort by"} sortOptions={[]} />}
          <Facet key={"1"} field={"genre.keyword"} label={"genre"} />
          <Facet key={"2"} field={"actors.keyword"} label={"actors"} />
          <Facet key={"3"} field={"directors.keyword"} label={"directors"} />
          <Facet key={"4"} field={"released"} label={"released"} />
          <Facet key={"5"} field={"imdbRating"} label={"imdb rating"} />
        </div>
      }
      bodyContent={<Results shouldTrackClickThrough={true} />}
      bodyHeader={
        <React.Fragment>
          {wasSearched && <PagingInfo />}
          {wasSearched && <ResultsPerPage />}
        </React.Fragment>
      }
      bodyFooter={<Paging />}
    />
  </ErrorBoundary>
</div>
```


## Run

Lets run the project with the command:
```shell
yarn start
```

and then view the results in the browser at [http://localhost:3000/](http://localhost:3000/)
![search-ui](https://www.elastic.co/elastic/docs-builder/docs/3028/reference/search-ui/images/search-ui.jpeg)

## Summary

Lets recap of the steps we have covered:
- we setup and configured the Elasticsearch index for our data
- we indexed an example movie
- we checked out the starter app and added the Elasticsearch connector
- we configured the Elasticsearch connector to connect to our Elasticsearch index
- we updated the Search UI configuration to specify the fields to be searchable, facetable
- we updated the components to use these fields

Next you can add more data into the index, [update the results view to display more fields](/elastic/docs-builder/docs/3028/reference/search-ui/api-react-components-result#api-react-components-result-view-customization), and deploy the app.