Reactivesearch.io Docs - Search stack for Elasticsearch, OpenSearch, Solr, MongoDB

Step 0: Create Boilerplate with Vue CLI

In this quickstart guide, we will create a books based search engine based on a dataset of 10,000 books using ReactiveSearch.

This is how your final app will look like at the end of following this tutorial, in just 10 minutes 🚀.

We can either add ReactiveSearch to an existing app or create a boilerplate app with Vue Cli. For this quick start guide, we will use the Vue CLI.

Install Vue Cli

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yarn global add @vue/cli

Create Project

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vue create my-awesome-search && cd my-awesome-search

Alternatively, you can go to Codesandbox.io and choose the Vue Template

Vue Template, Codesandbox .

Step 1: Install ReactiveSearch

We will fetch and install reactivesearch-vue module using yarn or npm.

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yarn add @appbaseio/reactivesearch-vue

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npm install @appbaseio/reactivesearch-vue

Alternatively, you can directly add the @appbaseio/reactivesearch-vue dependency to codesandbox.io.

Step 2: Register Components

To use ReactiveSearch components you need to register them in your app, you can globally import the components in the main.js file of your project.

Register all components

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import Vue from 'vue';
import ReactiveSearch from '@appbaseio/reactivesearch-vue';
import App from './App';

const app = createApp(App);

app.use(ReactiveSearch);

app.mount('#app');

The above imports ReactiveSearch entirely.

Only register the components you need (recommended)

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import Vue from 'vue';
import { ReactiveBase } from '@appbaseio/reactivesearch-vue';
import App from './App';

const app = createApp(App);

app.use(ReactiveBase);

app.mount('#app');

Step 3: Adding the first component

Lets add our first ReactiveSearch component: ReactiveBase, it is a backend connector where we can configure the Elasticsearch index / authorization setup.

We will be using kebab-case here. You can read more about component naming convention here.

We will demonstrate creating an index using appbase.io service, although you can use any Elasticsearch backend within ReactiveBase.

create an appbase.io app

Caption: For the example that we will build, the app is called good-books-ds and the associated read-only credentials are 04717bb076f7:be54685e-db84-4243-975b-5b32ee241d31. You can browse and export the dataset to JSON or CSV from [here].(https://dejavu.appbase.io/?appname=good-books-ds&url=https://04717bb076f7:be54685e-db84-4243-975b-5b32ee241d31@appbase-demo-ansible-abxiydt-arc.searchbase.io&mode=edit).

Note: Clone app option will not work with these credentials here have very narrow access scope (to prevent abuse).

We will update our src/App.vue file to add the ReactiveBase component.

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<template>
	<div id="app">
		<reactive-base
			url="https://appbase-demo-ansible-abxiydt-arc.searchbase.io"
			app="good-books-ds"
			credentials="04717bb076f7:be54685e-db84-4243-975b-5b32ee241d31"
		>
			<h1>Hello from ReactiveBase 👋</h1>
		</reactive-base>
	</div>
</template>

This is how the app should look after running the yarn run serve command.

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Step 4: Adding Search and Aggregation components

For this app, we will be using search-box, multi-list and single-range components for searching and filtering on the index. And reactive-list component for showing the search results.

Lets add them within the ReactiveBase component. But before we do that, we will look at the important props for each.

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<search-box
	componentId="SearchBox"
	placeholder="Search for books or authors"
	:dataField="[
		{
			'field': 'authors',
			'weight': 3
		},
		{
			'field': 'authors.autosuggest',
			'weight': 1
		},
		{
			'field': 'original_title',
			'weight': 5
		},
		{
			'field': 'original_title.autosuggest',
			'weight': 1
		}
	]"
/>

The search-box component creates a searchbox UI component that queries on the specified fields with weights as specified by dataField prop. That's all it takes to create a functional search component.

At this point, you should see the following:

MultiList

Next, we will add the multi-list component. As the name suggests, it creates a multiple selection aggregation (aka facet) to filter our search results by.

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<multi-list
	componentId="Authors"
	dataField="authors.keyword"
	title="Popular Authors"
	:aggregationSize="5"
/>

Aggregation components like MultiList fire a term type query. You can think of a term query as an exact match query, unlike a search query which involves more nuances. The use of the .keyword suffix for the authors field informs the search engine that the query here is of an exact type.

The aggregationSize prop is used to specify the total aggregations (think buckets) that you want returned based on the dataField value.

Note: The dataField value in MultiList is of string type, since an aggregation is always performed on a single field. In contrast, you may want to search on multiple fields in different ways, so the SearchBox component uses an array of fields instead.

SingleRange

Next, we will add the single-range component for creating a ratings based filter for our book search.

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<single-range
    componentId="Ratings"
	dataField="average_rating"
	defaultValue="All Books"
	:data="[
		{ start: 0, end: 5, label: 'All Books' },
		{ start: 4, end: 5, label: '4 stars and up' },
		{ start: 3, end: 5, label: '3 stars and up' },
	]"
	title="Book Ratings"
/>

The SingleRange operates on a numeric datatype field and fires a range query. The data prop of SingleRange allows specifying a [start, end] range and a label associated with it. Using defaultValue, we can preselect a particular option. In this case, we're preselecting all the books that have a rating of All Books.

At this point, this is how our app should be looking:

Step 5: Adding Results Component

Finally, we need a component to show the matching results. reactive-list does exactly this.

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 <reactive-list
	componentId="SearchResult"
	dataField="original_title.keyword"
	:pagination="true"
	:from="0"
	:size="5"
	:react="{ and: ['Ratings', 'Authors', 'SearchBox'] }"
	>
	<template #renderItem="{ item }">
		<div key="item._id">
			<img
				:src="item.image"
				alt="Book Cover"
			/>
			<div>{{ item.original_title }}</div>
			<div>by {{ item.authors }}</div>               
			<div>({{ item.average_rating }} avg)</div>                    
			<div>Pub {{ item.original_publication_year }}</div>
		</div>
	</template>
</reactive-list>

The react prop here specifies that the result should depend on the queries for our searchbox, authors filter and the ratings filter. It's pretty neat!. Every time the user changes the input value, a new query is fired -- you don't need to write a manual query for any of the UI components here, although you can override it via customQuery prop.

Now, we will put all three components together to create the UI view.

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<template>
  <div id="app">
    <reactive-base
      url="https://appbase-demo-ansible-abxiydt-arc.searchbase.io"
      app="good-books-ds"
      credentials="04717bb076f7:be54685e-db84-4243-975b-5b32ee241d31"
    >
      <search-box
        componentId="SearchBox"
        placeholder="Search for books or authors"
        :dataField="[
			{
				'field': 'authors',
				'weight': 3
			},
			{
				'field': 'authors.autosuggest',
				'weight': 1
			},
			{
				'field': 'original_title',
				'weight': 5
			},
			{
				'field': 'original_title.autosuggest',
				'weight': 1
			}
		]"
      />
      <multi-list
        componentId="Authors"
        dataField="authors.keyword"
        title="Select Authors"
        selectAllLabel="All Authors"
        placeholder="Search for authors"
        :aggregationSize="5"
      />
      <single-range
		componentId="Ratings"
		dataField="average_rating"
		defaultValue="All Books"
		:data="[
			{ start: 0, end: 5, label: 'All Books' },
			{ start: 4, end: 5, label: '4 stars and up' },
			{ start: 3, end: 5, label: '3 stars and up' },
		]"
		title="Book Ratings"
	  />

      <reactive-list
        componentId="SearchResult"
        dataField="original_title.keyword"
        :pagination="true"
        :from="0"
        :size="5"
        :react="{ and: ['Ratings', 'Authors', 'SearchBox'] }"
      >
        <template #renderItem="{ item }">
          <div key="item._id">
            <img :src="item.image" alt="Book Cover" />
            <div>{{ item.original_title }}</div>
            <div>by {{ item.authors }}</div>
            <div>({{ item.average_rating }} avg)</div>
            <div>Pub {{ item.original_publication_year }}</div>
          </div>
        </template>
      </reactive-list>
    </reactive-base>
  </div>
</template>

At this point, you should be seeing our entire app functionally (minus the layouting and styles):

We have built our entire search UI in just 80 lines!

The only thing missing at this point is the styling. ReactiveSearch doesn't use a layout system internally. For example, if you are using a grid from Bootstrap or Materialize, you can use that to style the layout. Or if you prefer to use Flex, you can use that. We can now import CSS to make the app look cleaner.

Step 6: Adding Layout and Styles

ReactiveSearch doesn't use a layout system internally. For example, if you are using a grid from Bootstrap or Materialize, you can use that to style the layout. Or if you prefer to use Flex, you can use that. Here, we will just make use of CSS Flex.

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<reactive-base>
    <div v-bind:style="{ 'display': 'flex', 'flex-direction': 'row' }">
        <div
          v-bind:style="{
            'width': '30%',
            'flex-direction': 'column',
            'text-align': 'left',
            'padding': '10px',
			'font-size': '14px',
          }"
        >
            <multi-list/>
            <single-range/>
        </div>
        <div
          v-bind:style="{
            'display': 'flex',
            'flex-direction': 'column',
            'padding': '10px',
            'width': '66%',
          }"
        >
            <search-box/>
            <reactive-list/>
        </div>
    </div>
</reactive-base>

To make the cards look aligned, add styles to the wrapper div within the reactive-list:

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<reactive-list
	componentId="SearchResult"
	dataField="original_title.keyword"
	:class="{ full: showBooks }"
	:pagination="true"
	:from="0"
	:size="5"
	:react="{ and: ['Ratings', 'Authors', 'SearchBox'] }"
	>
	<template #renderItem="{ item }">
		<div
		key="item._id"
		v-bind:style="{
			display: 'flex',
			background: 'white',
			margin: '10px 0',
			'box-shadow':
			'0 1px 3px rgba(0, 0, 0, 0.12), 0 1px 2px rgba(0, 0, 0, 0.24)',
		}"
		>
			<img
				:src="item.image"
				alt="Book Cover"
				v-bind:style="{
				height: '150px',
				width: '110px',
				'background-size': 'cover',
				}"
			/>
			<div v-bind:style="{ 'text-align': 'left' }">
				<div
				v-bind:style="{
					'font-weight': 'bold',
					padding: '10px 10px 5px 10px',
				}"
				>
					{{ item.original_title }}
				</div>
				<div v-bind:style="{ padding: '5px 10px' }">
					by {{ item.authors }}
				</div>
				<div v-bind:style="{ padding: '5px 10px' }">
					({{ item.average_rating }} avg)
				</div>
				<div v-bind:style="{ padding: '5px 10px' }">
					Pub {{ item.original_publication_year }}
				</div>
			</div>
		</div>
	</template>
</reactive-list>

If you have followed along, this is how our app should look now.

For convenience, you can check out the final code from the ReactiveSearch demos - https://github.com/appbaseio/vue-quick-start/tree/step-5.

ReactiveSearch Vue: Quickstart

Step 0: Create Boilerplate with Vue CLI

Install Vue Cli

Create Project

Step 1: Install ReactiveSearch

Step 2: Register Components

Register all components

Only register the components you need (recommended)

Step 3: Adding the first component

Step 4: Adding Search and Aggregation components

MultiList

SingleRange

Step 5: Adding Results Component

Step 6: Adding Layout and Styles

Getting Started

Product

Integrations

Use Cases

Company