Notification Channels in Android O

There is no way a user can turn off a specific type of Notifications unless a way is explicitly provided in the app. The only way around is to turn off all the app Notifications. With Android O, Developers can create different channels for different types of notifications. Users can modify following characteristics from settings:

  • Importance
  • Notification Sound (Tones)
  • Blink Light
  • Vibration
  • Lock Screen
  • Do Not Disturb
Channel Settings

Creating Notification Channel

A Notification Channel can be created by instantiating a NotificationChannel reference. A Notification channel takes channel id, channel name, and importance.

The channel id is different and has to be unique for each channel.

NotificationChannel channel_1 = new NotificationChannel("sports","Sports", NotificationManager.IMPORTANCE_DEFAULT);
channel_1.setLockscreenVisibility(Notification.VISIBILITY_PUBLIC);
NotificationManager manager = (NotificationManager) getSystemService(Context.NOTIFICATION_SERVICE);
manager.createNotificationChannel(channel_1);

Here ‘sports’ is the channel id and ‘Sports’ is the channel name.

Creating Notification

We can add notification to a channel by making a slight change in our old way of creating a notification.

Notification.Builder builder1 = new Notification.Builder(getApplicationContext(), "sports")
        .setContentTitle("Sports")
        .setContentText("India V/s New Zealand match postponed due to rain")
        .setSmallIcon(R.drawable.ic_launcher_background)
        .setChannelId("sports") //Specifying channel id of notification
        .setAutoCancel(true);

Just by setting the channel id in the notification, It will be shown in its corresponding channel.

Notifications from different channels

You can download the sample code for this blog from here.

Posted

in

by

Angad Singh

Tags:

Recent Post

  • AI Chatbots for Sales Team Automation: The Critical Role of AI Sales Assistants in Automating Your Sales Team

    Sales teams are the heart of any successful business, but managing them effectively can often feel like trying to juggle flaming swords. The constant pressure to generate leads, maintain relationships, and close deals leaves your team overwhelmed, spending more time on administrative tasks than actual selling. Here’s where AI-powered sales assistants step in to completely […]

  • Transforming HR with AI Assistants: The Comprehensive Guide

    The role of Human Resources (HR) is critical for the smooth functioning of any organization, from handling administrative tasks to shaping workplace culture and driving strategic decisions. However, traditional methods often fall short of meeting the demands of a modern, dynamic workforce. This is where our Human Resource AI assistants enter —a game-changing tool that […]

  • How Conversational AI Chatbots Improve Conversion Rates in E-Commerce?

    The digital shopping experience has evolved, with Conversational AI Chatbots revolutionizing customer interactions in e-commerce. These AI-powered systems offer personalized, real-time communication with customers, streamlining the buying process and increasing conversion rates. But how do Conversational AI Chatbots improve e-commerce conversion rates, and what are the real benefits for customers? In this blog, we’ll break […]

  • 12 Essential SaaS Metrics to Track Business Growth

    In the dynamic landscape of Software as a Service (SaaS), the ability to leverage data effectively is paramount for long-term success. As SaaS businesses grow, tracking the right SaaS metrics becomes essential for understanding performance, optimizing strategies, and fostering sustainable growth. This comprehensive guide explores 12 essential SaaS metrics that every SaaS business should track […]

  • Bagging vs Boosting: Understanding the Key Differences in Ensemble Learning

    In modern machine learning, achieving accurate predictions is critical for various applications. Two powerful ensemble learning techniques that help enhance model performance are Bagging and Boosting. These methods aim to combine multiple weak learners to build a stronger, more accurate model. However, they differ significantly in their approaches. In this comprehensive guide, we will dive […]

  • What Is Synthetic Data? Benefits, Techniques & Applications in AI & ML

    In today’s data-driven era, information is the cornerstone of technological advancement and business innovation. However, real-world data often presents challenges—such as scarcity, sensitivity, and high costs—especially when it comes to specific or restricted datasets. Synthetic data offers a transformative solution, providing businesses and researchers with a way to generate realistic and usable data without the […]

Click to Copy