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Reactive Programming with RxJava

Retry Operators

Explore how RxJava's retry operators enable you to handle network errors effectively in reactive programming. Understand using .retry() for immediate resubscription and .retryWhen() for implementing exponential backoff, ensuring resilient data streams and improved app reliability.

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There are some operations that require retrying either immediately or at a later point in time if they fail to complete.

Example

Say, for example, we’re developing a chat application, and a user sends a message to another user. If sending that message fails because of a bad network connection, that message should get resent at a better point in time—for example, when the sender establishes a better network connection. While there are many ways to solve this problem, a simple solution would be to add retry logic until the operation succeeds.

Java
public class Message {
    private String sender;
    private String receiver;
    private String text;
    public Message(String sender, String receiver, String text) {
        this.sender = sender;
        this.receiver = receiver;
        this.text = text;
    }
}
Java
public class NetworkClient {
    Observable<Message> sendMessage(Message message) {
        // Send message network call here
    }
}

In the example above, we have a simple Message POJO that contains some text as well as the sender and the receiver of the message. In addition, we’ve added a method in NetworkClient to send a Message to the receiver, which returns an Observable<Message> that emits the sent message to the ...