Starting Android Optimizing Applications

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Starting Android Optimizing Applications – Android brings computing power to everyone This phenomenon applies to all users including mobile phones with limited access to data limits, memory storage, etc.

Getting accurate data is especially important to us because when we first announced Android (Go Edition) in 2017, mobile users accounted for 57% of all device shipments. Worldwide (IDC Mobile Phone Tracker).

Starting Android Optimizing Applications

Starting Android Optimizing Applications

What is Android (Go Edition)? Android (Go version) is a mobile operating system designed for smartphones with low RAM. Android (Go version) is lightweight and saves data, allowing original equipment manufacturers (OEMs) to create affordable entry-level devices that give people access. RAM requirements are listed below and for complete Android device specifications (Go version), see this page on this website.

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Latest Updates We are making available Android (Go Edition) phones with additional operational optimizations and features, including design, app switching and data saving for internet users.

Faster apps, longer battery life, easier apps to share, privacy controls Why build for Android (Go version)? With the growing and accessible internet and all the features available at affordable prices, OEMs and developers are targeting and developing their apps specifically for Android devices (Go version).

Fast forward to today – many people in the world are actively using Android phones (Go version). Jio, Samsung, Oppo, Realm etc Look at the big OEMs Android Device Creation (Go Edition) There is a need for developers to create apps that work well, especially on Go devices.

But with the rapid development of the Internet and smartphones, there may be some problems:

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Optimize your app for Android (Go version) To help your app succeed and deliver the best experience in this emerging market, we’ve compiled some best practices based on our custom Google experience developing Google’s Goboard and camera apps.

Step Description Explanation Before starting an optimization effort, it is important to set goals Key Performance Indicators (KPI) should be defined for the application KPIs can be general across apps, and some can be specific KPIs can be some examples

Common KPICategoryApp startup delay for all apps Common crash rate for CUJ – camera specific camera app does not meet common rate for all apps When KPIs are set, the team must agree on a target level. . This may be due to suboptimal user experience/label KPIs should ideally be defined from the perspective of balancing user experience and technical complexity. Once the KPIs are finalized, the next step may be to break down the given KPIs into individual signal gauges . For example C CUJ (frames in camera) → wait to complete for frame capture latency, image processing latency, time spent transferring saved processed images to disk, etc. For unresolved errors, crashes due to high memory usage, crashes due to ANR, etc Measure benchmarks or KPI values ​​and custom metrics to determine current performance If KPI targets are met, all is well Otherwise, determine the jam by looking at each break After updating a specific constraint, restart, go back and run the metrics again to see if the KPI goals were met. If not, start over If yes, great job! Add continuous regression tests that run for every change or at some frequency to identify regressions in KPIs. Debugging and finding the source of regressions or errors is harder than not having access to the codebase Do not allow changes until a decision is made to update the KPI target Try to invest in building a regression infrastructure to catch such problems at an early stage Determine how often the test should run? What should be the best frequency for your application? Optimize application memory in trimMemory(): Releases memory as cached in onTrimMemory(). You can use ActivityManager.getMemoryState(RunningAppProcessInfo) to find out the app’s current limits and then try to optimize/minimize unnecessary resources.

Starting Android Optimizing Applications

GBoard uses the onTrimMemory() flag when it is running in the background to trim unnecessary memory and not enough memory to run as many background processes as desired, such as reducing memory usage. Search for cache or drop-down extensions, remembering to remove unwanted snippets from your search terms. . In the background This helped them hit less memory and reduce the average RSS feed Resident Set Size (RSS) is the portion of memory that is occupied by your application process stored in RAM (RAM). To learn more about RSS, see here Make sure you replace moloc with mmap when accessing read-only and large files: mmap is recommended for reading only large files in memory (‘read-only mapped files’). The kernel has some special optimizations for read-only mapped files, such as removing unused pages. This is generally useful for storing large assets or ML models Accurate scheduling of tasks that require the same resources (CPU, IO, memory): Concurrent scheduling can run memory-intensive operations in parallel and compete for resources in and out.. Maximize application memory utilization. Google Camera has solved many problems by maximizing memory space and proper allocation of resources, dividing tasks into less CPU-intensive, low-latency tasks. Locate tasks in the correct queue/operator set so that they can run on devices with balanced resource levels. Find and Fix Memory Leaks: Leaks are difficult to deal with, but tools like Android Studio Memory Profiler / Perfecto are available to reduce the search effort. and fix memory leaks Google has implemented tools to detect and fix memory issues that reduce the app’s memory usage/footprint. This reduction allows other program components to run without adding additional memory pressure to the system

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An example of an open view’s goboard, saving a specific event to a subview like this:

KeyboardView Created (see KeyboardView) { this … } | Keyboard view At any time and. key button The view should be set to invalid at any time to prevent leaks

Always add framework/library updates after analyzing changes and testing their impact at an early stage. Free memory before assigning a new value to a pointer that points to another object section on the Java stack. (Native Java Backend Object)

If the class allocates a key resource and is not automatically cleaned up in finalize(..) and requires a call to the summarize(..) method, it should be:

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ClassA obj = new ClassA(“x”); // … do some // clearing obj.release(); obj = new ClassB(“y”);

Otherwise, it will leak the original memory Optimize your bitmaps: Larger images/downloadable images generally use more memory in the application. Definitions and advanced bitmaps used in Google Apps

Example: GoBoard’s scrolling function should display an overlay view with a path bitmap that contains only the alpha channel. Apply a color filter to the display

Starting Android Optimizing Applications

// Create a map for the trace trailBitmap = Bitmap.createBitmap(w, h, Bitmap.Config.ALPHA_8); … // prepare the color for the trail trailPaint.setColorFilter(new ColorMatrixColorFilter(new ColorMatrix(new float[] { 0, 0, 0, 0, (color >> 16)) & 0xFF, 0, 0, 0, 0, (color >> 8) & 0xFF, , 0, 0, 0, color & 0xFF, 0, 0, 0, 1, 0 }))); … // onDraw @Override Protected null onDraw(canvas) { super.onDraw(canvas); if (trailBitmap != null) { canvas.drawBitmap(trailBitmap, 0, 0, trailPaint); }

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Scroll through screenshots Scroll through Gboard Check and set alpha channel only for bitmaps for complex custom scenes used in the app. This saves them a few MB (screen size/density). When using Glide, ARGB_8888 uses 4 bytes/pixel and RGB_565 uses 2 bytes/pixel. When the RGB_565 format is used, the memory footprint is halved, but the bit quality comes at the cost of lower usage. Try to adjust your work according to whether you need an alpha value or not Configure and use incognito when using 3P libs like Glide to display images When creating for Android (Go version), try to choose different options for GIF in your app, because GIF files take up a lot of memory. The Optim tool can optimize res/drawable/placed image resources with lossless compression during the build process. For example, AptTools can convert a true-color PNG to an 8-bit PNG with a color palette that requires no more than 256 colors. Doing so will result in images of the same quality, but with less memory Read more here Using tools like PNG Cross, pngquant or zopflipng, you can reduce the size of PNG files without losing image quality. All these tools can reduce the size of PNG files

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