Google Play Requirement by Aug 1, 2019 - Using native code must provide a 64-bit version in addition to the 32-bit version

For Andriod apps, there is a requirement from Google Play Store that all apps using native code must provide a 64-bit version in addition to the 32-bit version by Aug 1, 2019.

The requirement does not apply to a few scenarios including apps targeting Wear OS or Andriod TV.  Those form factors currently do not support 64-bit mode.

According to the official Google Play Guides:

The first thing to do is check to see if your app uses any native code. Your app makes use of native code if it:
  • Uses any C/C++ (native) code in your app
  • Links with any third party native libraries
  • Is built by a third-party app builder that uses native libraries

If your Andriod apps are entirely written in the Java language or Kotlin, you do not need to worry about the new requirement at all.  This is because those apps are already 64-bit ready.


References:

Comments

Post a Comment

Popular posts from this blog

Finding Median by Stream

Image
This small waterfall is one of the many intermediate operations of the stream. Photo taken in Algonquin, ON The Java's DoubleStream class provides a few methods for common statistics including min(), max(), sum(), and average().  For average(), what does it actually mean?  Here is the description in the specification: The average() method returns an OptionalDouble describing the arithmetic mean of elements of the stream, or an empty optional if the stream is empty. While the arithmetic mean method is handy, we likely want a median method for different needs as well.  The DoubleStream class doesn't provide a median() method but the sorted() method.  We can use the sorted() method to assist in finding the median value. Building the Median Function Given each of existing min(), max(), and average() will return an OptionalDouble, having a median() method to return the same type is preferable.  There are different ways to create a median method, and the goal here is ...
Read more

Factorial by Different Styles in Java

Here is a collection of methods of calculating factorial by different programming styles. class Factorial { // Iteration static long iterativeFactorial( int n) { long r = 1; for ( int i=1; i<=n; i++) r*=i; return r; } // Recursion static long recursiveFactorial( int n) { return n == 0 ? 1 : n * recursiveFactorial(n-1); } // Tail-recursion static long tailRecurFactorial( int n) { return tailRecurHelper(1L, n); } static long tailRecurHelper( long acc, int n) { return n == 0 ? acc : tailRecurHelper(acc*n, n-1); } // Lambda and Recursion static Function<Integer, Long> lambdaRecurFactorial = x -> x==0 ? 1L : x * Factorial.lambdaRecurFactorial.apply(x-1); // Stream static long streamFactorial ( int n) { return LongStream.rangeClosed(1, n) .reduce(1, (a, b) -> a*b); } /...
Read more

Reduction by Java Stream

For business analysis, it is often useful to reduce a list of numbers to a single value. "What is the sum of product A sold among all the invoices?" "What is the median price among all the houses sold in Toronto last month?" "What is the average annual inflation over the last 10 years?" This type of queries is reduction operation that can be handled by the Stream class.  Below are some examples to help memorizing how the reduce  method is used. Here are three different functions of calculating the sum of a list of integers. The first function is a typical for-loop.  The second and third produce the same result by using stream's reduce . Compare the functions for mnemonic.  List<Integer> list = Arrays.asList(2, 4, 6, 8, 10, 12, 14, 16); Function<List<Integer>, Integer> sumMethod1 = (numbers) -> { int sum = 0; for (Integer x : numbers) sum += x; return sum; }; System.out.println ( "sum = " + sumMethod1.apply(l...
Read more