synchronized(this) {// Pass the database to the INSTANCEINSTANCE = buildDatabase(context) } }// Return database.returnINSTANCE!! }privatefunbuildDatabase(context:Context): NoteDatabase {returnRoom.databaseBuilder( context.applicationContext, NoteDatabase::class.java,"notes_database") .build() ...
When the Create button is clicked, the data will be synchronized between the component property and the data input. Therefore, we can simply retrieve the new passed values through the properties themselves. As you may have noticed, the component also has a User passed to it via the mount()...
view rawFirestoreMultiDbComponent#getInstance.javahosted withbyGitHub Here’s the method that returns a database given its id. It’s also responsible for creating aFirebaseFirestoreif there’s none registered. @NonNull synchronized FirebaseFirestore get(@NonNull String databaseId) { ...
void test::ReadWriteTest::do_io_benchmark_posix_readw_optimised(std::string filename, int wdata, int times) { std::vector<char> inBuffer(1024); int fd = testPosixIOOpenFile(filename.c_str()); //open file for (int i = 0; i < times; ++i) { auto time1 = system_clock::now...
I ended up making almost all the public methods of FifoDocument synchronized. The thread which adds new data into FifoDocument is also called using SwingUtilities.invokeAndWait(). These are less than optimal. Perhaps later even better performance could be possible? Direct Write Into FIFO Memory ...
And it works with Spring Boot, Spring Framework, Jakarta EE, Java EE, Quarkus, or Play Framework. So, enjoy spending your time on the things you love rather than fixing performance issues in your production system on a Saturday night!
As an Architect, I want to know how to manage privacy and integrity of the data if it’s hosted in the cloud. (How do I restrict access to the data by the hoster, and what do I do about a local copy of the data that is synchronized regularly?) ...
During the recovery, the transaction log must be warned of the actions made by the recovery process so that the data written on disk are synchronized with what’s written in the transaction log. A solution could be to remove the log records of the transactions that are being undone but that...
Then you take the rest of the elements of the other array to put them in the 8-element array. This works because both 4-element arrays are sorted and therefore you don’t need to “go back” in these arrays. Now that we’ve understood this trick, here is my pseudocode of the merge...