Dependency injection with Dagger 2 — Producers

This post is a part of series of posts showing Dependency Injection with Dagger 2 framework in Android. Today we’re going to take a look at Dagger Producers — an extension to Dagger 2 that implements asynchronous dependency injection in Java.

Continue reading “Dependency injection with Dagger 2 — Producers”

AndroidDevMetrics — app performance metrics for Android development

We live in times where mobile apps have to not only do their job but also do it smooth and delightful. In times where almost every Android device has huge computing power and operating system is really mature (and I’m not saying only about Lollipop or Marshmallow). Less and less things limit us to to deliver really beautiful apps.

But it also means that there are no excuses for us — the developers. We cannot say anymore: “this is because your crappy Android device… Do you want smoothness? Let’s check it on iPhone.”. Now it’s our fault that app works and looks good only on this year’s high-end device. We cannot blame platform developers anymore because they already did awesome job with optimizations in Android.

Moreover, they started sharing their knowledge about performance, optimizations and how things work under the hood. If you haven’t seen it yet just take a look at this videos collection — Android Performance Patterns. Do we need more proves that now everything is really in our hands? Continue reading “AndroidDevMetrics — app performance metrics for Android development”

Dagger2Metrics – measure performance of DI graph initialization

A couple months ago we went through possible issues with Dagger 2 – graph creation performance. Thanks to TraceView tool we can see exactly how much time is needed to initialize all requested dependencies. But it’s not easy – we have to find places in our code to start and stop measuring, dump results and analyze them in Android Studio. To make it bit easier, I’ve prepared simple library which can help with catching potential performance issues. Continue reading “Dagger2Metrics – measure performance of DI graph initialization”

RecyclerView animations – AndroidDevSummit write-up

RecyclerView Animations and Behind the Scenes – One more time we’re going back to this presentation. It’s a fact that list views (or more generic – collection views) are the most common used view patterns in apps, across all mobile platforms. So that it’s very important to know them as well as possible.
Today based on AndroidDev Summit presentation we’ll look closer at RecyclerView items animations. Continue reading “RecyclerView animations – AndroidDevSummit write-up”

Twitter’s like animation in Android – alternative

Some time ago Twitter presented Hearts – replacement for star icons, with modern delightful animation of their state change.

Continue reading “Twitter’s like animation in Android – alternative”

InstaMaterial – RecyclerView animations done right (thanks to Android Dev Summit!)

We live in times where apps have to be not only useful but also smooth and delightful. Times slightly different than a couple years ago where all we had to do was just notifyDataSetChanged() on ListView adapter. Screen just blinked, new data appeared and that’s all.
Today, in a times of RenderThread, MaterialDesign animations and transitions app should show exactly what’s happening. User should see when data from his collection just changed or when something new appeared or/and was removed.

Continue reading “InstaMaterial – RecyclerView animations done right (thanks to Android Dev Summit!)”

FlatBuffers performance in Android – allocation tracking

After my last post about parsing JSON in Android with FlatBuffers parser (implemented in C++, connected via NDK to our project) great discussions started about the real performance of FlatBuffers and comparising them to another serialization solutions. You can find those debates on Reddit or in comments section on Jessie Willson’s blog. Continue reading “FlatBuffers performance in Android – allocation tracking”

JSON parsing with FlatBuffers in Android

FlatBuffers library is getting more and more popular recently. If you check last Android Performance Patterns series, Colt McAnlis mentions about it a couple times in different videos. Probably you remember Facebook’s announcement about migration to FlatBuffers. Also some time ago I published post about how to start using it in Android. Continue reading “JSON parsing with FlatBuffers in Android”

Dagger 2 – graph creation performance

#PerfMatters – recently very popular hashtag, especially in the Android world. The times when the apps just did something, no matter how, are already gone. Now everything should be pleasant, smooth and fast. For example Instagram spent almost half a year just to make its app faster, more beautiful, and more screen-size aware.

That’s why today I’d like to share with you short hint which can have a great impact on your app launch time (especially when it uses some external libraries). Continue reading “Dagger 2 – graph creation performance”

FlatBuffers in Android – introduction

JSON – probably everyone knows this lightweight data format used in almost all modern servers. It weights less, is more human-readable and in general is more dev-friendly than old-fashined, horrible xml. JSON is language-independend data format but parsing data and transforming it to e.g. Java objects costs us time and memory resources.
Several days ago Facebook announced big performance improvement in data handling in its Android app. It was connected with dropping JSON format and replacing it with FlatBuffers in almost entire app. Please check this article to get some basic knowledge about FlatBuffers and results of transition to it from JSON.

While the results are very promising, at the first glance the implementation isn’t too obvious. Also facebook didn’t say too much. That’s why in this post I’d like to show how we can start our work with FlatBuffers. Continue reading “FlatBuffers in Android – introduction”