React MiniSearch

React integration for the MiniSearch client side full-text search library.

Getting Started

Installation:

First, make sure you have a compatible version of React and of MiniSearch installed.

Then, install via NPM or Yarn:

# With NPM:
npm install react-minisearch

# Or with Yarn:
yarn add react-minisearch

Usage:

There are three main ways to use react-minisearch: the useMiniSearch hook, the withMiniSearch higher-order component, or the WithMiniSearch wrapper component.

All three way take the following arguments (or props for the wrapper component):

• The initial collection of documents to add to the index. Note: this is just the initial collection, and mutating this argument won't cause reindexing. To add or remove documents after initialization, use the functions add/addAll/remove/removeAll/discard, etc.
• The MiniSearch configuration options

Using the useMiniSearch hook:

import { useMiniSearch } from 'react-minisearch'

// Documents to search amongst
const documents = [
  { id: 1, name: 'Agata' },
  { id: 2, name: 'Finn' },
  // …etc
]

// See MiniSearch for documentation on options
const miniSearchOptions = { fields: ['name'] }

const MyComponent = () => {
  const { search, searchResults } = useMiniSearch(documents, miniSearchOptions)

  const handleSearchChange = (event) => {
    search(event.target.value)
  }

  return (
    <div>
      <input type='text' onChange={handleSearchChange} placeholder='Search…' />

      <ol>
        <h3>Results:</h3>
        {
          searchResults && searchResults.map((result, i) => {
            return <li key={i}>{ result.name }</li>
          })
        }
      </ol>
    </div>
  )
}

Using the withMiniSearch higher-order component:

import { withMiniSearch } from 'react-minisearch'

const MyComponent = ({ search, searchResults }) => {

  const handleSearchChange = (event) => {
    search(event.target.value)
  }

  return (
    <div>
      <input type='text' onChange={handleSearchChange} placeholder='Search…' />

      <ol>
        <h3>Results:</h3>
        {
          searchResults && searchResults.map((result, i) => {
            return <li key={i}>{ result.name }</li>
          })
        }
      </ol>
    </div>
  )
}

// Documents to search amongst
const documents = [
  { id: 1, name: 'Agata' },
  { id: 2, name: 'Finn' },
  // …etc
]

// See MiniSearch for documentation on options
const miniSearchOptions = { fields: ['name'] }

const MyComponentWithSearch = withMiniSearch(documents, miniSearchOptions, MyComponent)

Using the WithMiniSearch wrapper component:

import { WithMiniSearch } from 'react-minisearch'

// Documents to search amongst
const documents = [
  { id: 1, name: 'Agata' },
  { id: 2, name: 'Finn' },
  // …etc
]

// See MiniSearch for documentation on options
const miniSearchOptions = { fields: ['name'] }

const MyComponent = () => (
  <WithMiniSearch documents={documents} options={miniSearchOptions}>
    {
      ({ search, searchResults }) => {
        const handleSearchChange = (event) => {
          search(event.target.value)
        }

        return (
          <div>
            <input type='text' onChange={handleSearchChange} placeholder='Search…' />

            <ol>
              <h3>Results:</h3>
              {
                searchResults && searchResults.map((result, i) => {
                  return <li key={i}>{ result.name }</li>
                })
              }
            </ol>
          </div>
        )
      }
    }
  </WithMiniSearch>
)

Provided props:

The complete set of props that are provided by react-minisearch is the same for all three ways (useMiniSearch, withMiniSearch, or WithMiniSearch):

• search(query: string, searchOptions?: SearchOptions) => void: function to be called in order to perform the search

• searchResults: T[] | null: array of search results, or null when no search was performed or search was cleared

• rawResults: SearchResult[] | null: array of raw search results from MiniSearch, including scores and match information, or null when no search was performed or search was cleared

• clearSearch() => void: function to be called in order to clear the search (setting searchResults to null)

• autoSuggest(query: string, searchOptions?: SearchOptions) => void: function to be called in order to obtain auto suggestions

• suggestions: Suggestion[] | null: array of auto suggestions, or null when auto suggestions are not used or cleared

• clearSuggestions() => void: function to be called in order to clear the suggestions (setting suggestions to null)

• add(document: T) => void: function to add a new document to the index

• addAll(documents: T[]) => void: function to add several new documents to the index in bulk

• addAllAsync(documents: T[], options?: object) => Promise<void>: same as addAll, but works asynchronously and in batches to avoid blocking the UI

• getById(id: any) => T | null: function to retrieve a document from the index by its ID

• remove(document: T) => void: function to remove a document from the index

• removeById(id: any) => void: function to remove a document from the index by its ID

• removeAll(documents?: T[]) => void: function to remove several documents, or all documents, from the index

• discard(id: any) => void: discard a document by its ID (same as removeById)

• discardAll(ids: readonly any[]) => void: discard several documents at once, by their ID

• replace(document: T) => void: replace an existing document with a new version of it

• isIndexing: boolean: set to true when indexing via addAllAsync is in progress, false otherwise

• miniSearch: MiniSearch: the MiniSearch instance, for the (rare) cases when it is necessary to use it directly

In this list, the type T is a generic type that refers to the type of the document being indexed.

Many of these props correspond to methods on the MiniSearch class, as documented in the MiniSearch library.

Examples

Check out the examples directory for a complete usage example. To run the example app locally:

• cd to the examples directory
• Install dependencies with yarn install (or npm install)
• Run the example application with yarn start (or npm run start)