DataStore is a powerful tool for storing data in Android applications, but there are common mistakes that developers make when using it. Understanding these pitfalls can help improve app performance and data handling.
DataStore, Android development, common mistakes, data persistence, best practices
// Example of a common mistake: Not using Coroutine for DataStore operations
val dataStore: DataStore by preferencesDataStore(name = "settings")
// This should be done in a coroutine
fun saveToDataStore(key: String, value: String) {
dataStore.edit { preferences ->
preferences[stringPreferencesKey(key)] = value
}
}
// Incorrect usage - this will lead to an exception or blocked UI
fun saveData(key: String, value: String) {
saveToDataStore(key, value) // Should ideally be called from a coroutine scope
}
How do I avoid rehashing overhead with std::set in multithreaded code?
How do I find elements with custom comparators with std::set for embedded targets?
How do I erase elements while iterating with std::set for embedded targets?
How do I provide stable iteration order with std::unordered_map for large datasets?
How do I reserve capacity ahead of time with std::unordered_map for large datasets?
How do I erase elements while iterating with std::unordered_map in multithreaded code?
How do I provide stable iteration order with std::map for embedded targets?
How do I provide stable iteration order with std::map in multithreaded code?
How do I avoid rehashing overhead with std::map in performance-sensitive code?
How do I merge two containers efficiently with std::map for embedded targets?