Originally published at Crowdbotics.com
There are few ways to create scrollable lists in React Native. Two of the common ways available in React Native core are ScrollView
and FlatList
components. Each has its strength and in this tutorial, let us dive deep to create a search bar with FlatList
component.
The final result you are going to achieve at the end of this tutorial is shown below.
Table of contents
Open Table of contents
Getting started
For the demo we are going to create in this tutorial, I am going to use Expo. You are free to choose and use anything between an Expo CLI or a react-native-cli
.
To start, let us generate a React Native app using Expo CLI and then install the required dependency to have a charming UI for the app. Open up a terminal window and run the following commands in the order they are mentioned.
expo init searchbarFlatList
cd searchbarFlatList
yarn install @ui-kitten/components @eva-design/eva lodash.filter
expo install react-native-svg
Note: The dependency react-native-svg
is required as a peer dependency for the UI kitten library.
UI Kitten is ready to use now. To check, everything has installed correctly, let us modify App.js
file as the following snippet:
import React from "react";
import { ApplicationProvider, Layout, Text } from "@ui-kitten/components";
import { mapping, light as lightTheme } from "@eva-design/eva";
const HomeScreen = () => (
<Layout style={{ flex: 1, justifyContent: "center", alignItems: "center" }}>
<Text category="h1">HOME</Text>
</Layout>
);
const App = () => (
<ApplicationProvider mapping={mapping} theme={lightTheme}>
<HomeScreen />
</ApplicationProvider>
);
export default App;
The ApplicationProvider
accepts two props, mapping
and theme
.
To run this demo, open up the terminal window and execute the following command.
expo start
I am using an iOS simulator for the demo. Here is the output of the above code snippet.
What is FlatList?
The component FlatList
is an efficient way to create scrolling data lists in a React Native app. It has a simple API to work with and is more efficient and preferment with a large amount of information to display in comparison to its alternate.
By default, you can just pass in an array of data and this component will do its work. You do not have to take care of formatting the data too often.
Basic usage of a FlatList component
There are three primary props that a FlatList component requires to display a list of data:
data
: an array of data that is used to create a list. Generally, this array is built of multiple objects.renderItem
: is a function that takes an individual element from thedata
array and renders it on the UI.keyExtractor
: it tells the list of data to use the unique identifiers orid
for an individual element.
To get understand this pragmatically, let us build a mock an array of data and using FlatList
, let us display it on our demo app. To start, import the following statements in App.js
file.
import React from "react";
import { FlatList, View, Text } from "react-native";
Then, create an array of mock data.
const mockData = [
{ id: "1", text: "Expo 💙" },
{ id: "2", text: "is" },
{ id: "3", text: "Awesome!" },
];
Now, modify the HomeScreen
component with the following snippet:
const HomeScreen = () => (
<View
style={{
flex: 1,
paddingHorizontal: 20,
paddingVertical: 20,
marginTop: 40,
}}
>
<FlatList
data={mockData}
keyExtractor={item => item.id}
renderItem={({ item }) => (
<Text style={{ fontSize: 22 }}>
{item.id} - {item.text}
</Text>
)}
/>
</View>
);
If the Expo cli command to run the development server is still running, you are going to get the following result.
Fetching data from Remote API in a FlatList
You can even play around with it. Try to fetch data from a real-time remote API and display them in the list instead of mock data. For a start, you can use a public API URL such as Randomuser.me API. The result to obtain at the end of this section is displayed below.
Open, App.js
file and a state object with some properties to keep track of data from the Random User API. Also, do not forget to modify the import statements.
// modify the import statements as below
import React from "react";
import {
FlatList,
View,
ActivityIndicator,
TouchableOpacity,
} from "react-native";
import { ApplicationProvider, Text, Avatar } from "@ui-kitten/components";
import { mapping, light as lightTheme } from "@eva-design/eva";
// add a state object to the HomeScreen component
class HomeScreen extends React.Component {
state = {
loading: false,
data: [],
page: 1,
seed: 1,
error: null,
};
// ... rest of the code
}
With the HTTP request to the API URL, let us fetch the first 20 results for now. Create a handler method called makeRemoteRequest
that uses JavaScript’s fetch(url)
where url
is the API request. It will fetch the results in JSON format. In case of a successful response from the API, the loading indicator (which is going to add later) will be false.
Also, using the lifecycle method componentDidMount
, you can render the list of random users at the initial render of the HomeScreen
component.
componentDidMount() {
this.makeRemoteRequest()
}
makeRemoteRequest = () => {
const { page, seed } = this.state
const url = `https://randomuser.me/api/?seed=${seed}&page=${page}&results=20`
this.setState({ loading: true })
fetch(url)
.then(res => res.json())
.then(res => {
this.setState({
data: page === 1 ? res.results : [...this.state.data, ...res.results],
error: res.error || null,
loading: false
})
})
.catch(error => {
this.setState({ error, loading: false })
})
}
Next, add a renderFooter
handler method that is going to display a loading indicator based on the value from the state object. This indicator is shown when the list of data in still being fetched. When the value of this.state.loading
is true, using the ActivityIndicator
from react-native components, a loading indicator on the UI screen is shown.
renderFooter = () => {
if (!this.state.loading) return null;
return (
<View
style={{
paddingVertical: 20,
borderTopWidth: 1,
borderColor: "#CED0CE",
}}
>
<ActivityIndicator animating size="large" />
</View>
);
};
Here is the output you are going to get when the loading indicator is shown.
Adding a custom Separator to FlatList component
Previously, you learned about the three most important props in the FlatList component. It is so flexible that it comes with extra props to render different components to make UI as pleasing to the user. One such prop is called ItemSeparatorComponent
. You can add your own styling with custom JSX.
To do so, add another handler method called renderSeparator
. It consists of rendering a View
with some styling.
renderSeparator = () => {
return (
<View
style={{
height: 1,
width: "86%",
backgroundColor: "#CED0CE",
marginLeft: "5%",
}}
/>
);
};
This completes all of the handler method currently required. Now, let us replace the previous FlatList
component in App.js
file with the following snippet.
A list of user names is going to be rendered with an individual item as the user. When pressed it shows an alert message for now but in real-time app, it will go on to display the complete user profile or user’s contact.
The individual items in the list are going to be separated by the renderSeparator
method as well as each item is going to display a user image which is composed of Avatar
component from react-native-ui-kitten
. The data is coming from the state object.
<FlatList
data={this.state.data}
renderItem={({ item }) => (
<TouchableOpacity onPress={() => alert("Item pressed!")}>
<View
style={{
flexDirection: "row",
padding: 16,
alignItems: "center",
}}
>
<Avatar
source={{ uri: item.picture.thumbnail }}
size="giant"
style={{ marginRight: 16 }}
/>
<Text
category="s1"
style={{
color: "#000",
}}
>{`${item.name.first} ${item.name.last}`}</Text>
</View>
</TouchableOpacity>
)}
keyExtractor={item => item.email}
ItemSeparatorComponent={this.renderSeparator}
ListFooterComponent={this.renderFooter}
/>
From the above snippet, you can also notice that the loading indicator handler method renderFooter()
is also used as the value of a prop called ListFooterComponent
.
You can also use this prop to render other information at the bottom of all the items in the list. One example is to fetch more items in the list and show the loading indicator when the request is made.
Here is the output so far.
Adding a Search bar
To create a search bar on top of the FlatList, you need a component that scrolls away when the list is scrolled. One possible solution is to create a custom Search bar component and render it as the value of ListHeaderComponent
prop in a FlatList.
Open App.js
file and add the following prop to the list.
<FlatList
// rest of the props remain same
ListHeaderComponent={this.renderHeader}
/>
The search bar component is going to be an input field that can take the user’s name from the end-user. To build one, let us start by modifying the import statements as below.
import filter from "lodash.filter";
import {
ApplicationProvider,
Text,
Avatar,
Input,
} from "@ui-kitten/components";
Next, modify the state
object and the following variables to it. The query
is going to hold the search term when the input is provided. The fullData
is a temporary array that a handler method is going to filter the user’s name on the basis of a query.
state = {
// add the following
query: "",
fullData: [],
};
Since you are already storing the results
fetched from the remote API, state variable data
, let us do the same for fullData
as well. Add the following inside the handler method makeRemoteRequest()
.
makeRemoteRequest = () => {
const { page, seed } = this.state;
const url = `https://randomuser.me/api/?seed=${seed}&page=${page}&results=20`;
this.setState({ loading: true });
fetch(url)
.then(res => res.json())
.then(res => {
this.setState({
data: page === 1 ? res.results : [...this.state.data, ...res.results],
error: res.error || null,
loading: false,
// ---- ADD THIS ----
fullData: res.results,
});
})
.catch(error => {
this.setState({ error, loading: false });
});
};
Next, add the handler method that is going to handle the search bar. By default, it is going to format the search term provided as a query to lowercase. The user’s name is filtered from the state variable fullData
while the state variable data
stores the final results after the search to render the correct user.
handleSearch = text => {
const formattedQuery = text.toLowerCase();
const data = filter(this.state.fullData, user => {
return this.contains(user, formattedQuery);
});
this.setState({ data, query: text });
};
The contains
handler method is going to look for the query. It accepts two parameters, the first and last name of the user and the formatted query to lowercase from handleSearch()
.
contains = ({ name, email }, query) => {
const { first, last } = name;
if (first.includes(query) || last.includes(query) || email.includes(query)) {
return true;
}
return false;
};
Lastly, add renderHeader
to render the search bar on the UI.
renderHeader = () => (
<View
style={{
backgroundColor: "#fff",
padding: 10,
alignItems: "center",
justifyContent: "center",
}}
>
<Input
autoCapitalize="none"
autoCorrect={false}
onChangeText={this.handleSearch}
status="info"
placeholder="Search"
style={{
borderRadius: 25,
borderColor: "#333",
backgroundColor: "#fff",
}}
textStyle={{ color: "#000" }}
/>
</View>
);
That’s it to add a search bar to the FlatList component.
Run the app
To run the app, make sure the expo start
command is running. Next, go to Expo client and you are going to be prompted by the following screen:
Next, try to add a user name from the list being rendered.
Add clear button to input text field
The last thing I want to emphasize is that using a custom UI component from a UI library such as UI Kitten, you can use general TextInputProps
from React Native core as well. A few examples are props such as autoCapitalize
, and autoCorrect
.
Let us add another prop called clearButtonMode
that allows the input field to have a clear button appear on the right side. Add the prop to the Input
inside renderHeader()
.
<Input
// rest of the props remain same
clearButtonMode="always"
/>
Now go back to the Expo client and see it in action
Conclusion
This brings an end to this current tutorial. The screen implemented in this demo is from one of the templates from Crowdbotics’ react-native collection.
We use UI Kitten for our latest template libraries. Find more about how to create custom screens like this from our open source project here.
You can also find the source code from this tutorial at this Github repo.