I have a fragment and the data displayed are fetched from a network call.
I am using onSaveInstanceState in order to avoid fetching the data again when the orientation changes, but if I understand the lifecycle for fragments correctly as long as the app is never destroyed (either explicit by the user or because the Android OS kills the activity due to lack of resources) the data from the server will never be refreshed.
If I have understood this part correctly, I would need to define some way to periodically refetch the data from the server or is there another way?
There are no rules about data refresh. It depends on your app, your data, etc. If you fetch a list of receipts, you do not need to implement a refresh mechanism. But if you fetch, I don't know, the exchange rate of currencies, you must have one.
What about a pull to refresh pattern ?
I would use the Android Architecture components ViewModel and LiveData to save the data during screen rotations preventing multiple calls to the server for screen rotation changes. This is the preferred method Google seem to be pushing to their developers https://developer.android.com/topic/libraries/architecture/saving-states
To prevent the data from going stale I would either let the user decide when to update using the "Pull to Update" (as described in the other answer) or add a timer to update if the fragment has been in the foreground for an extended period of time using the method described here: https://guides.codepath.com/android/Repeating-Periodic-Tasks
Related
Currently I'am developing app which having a bad API. I have a situation where I have to use data received from network call in a activity, which is 2 steps away from the activity where I made the network call. In other word all the data necessary fill 3 activities comes on this one network call.
So I pass necessary data between activities using Intent Extra. It is not easy to maintain and It takes noticeable time to switch between activities.
I know one possible solution is to store data in database. and access those data from different activities. It feels like a bad practice because no use of those data after user pass 3rd screen.
Is there any better technique to handle this?
You can put all your network logic in the separate class, cache data in some variable and use it in your activities (you can use singleton class or injecting by dagger).
Also you can read about Clean Architecture and get some good practices from it.
If you don't want use anything from above, you can remove data from database after using and not store it forever. Or you can use SharedPreferences if your data is not complex.
So, I want to learn this synchronization strategy instead of just using the simpler MessageAPI, but am really struggling with how to successfully implement this.
My project is like this: I make queries to download a small amount of text from an API, via my phone. I will make these queries every so often, haven't really decided on how often just yet. The data will update the watch, which should hold onto the last data received. After that first download occurs, I send data using a DataMap, to the Android Watch. I only send that once, because I believe that sets up a channel to continually send updates when ready. If that is wrong, please correct me.
My main question is this: what if the Android phone's app closes? Then the data object goes to null, and gets sent to the Watch as null? Or, should I send an object from a long-running service or shared preferences on the Android phone, so that the object is never null?
Think of the Data Layer as more of an event system, i.e., you update your data and you're notified on the other side when the data is updated (created, changed, or deleted). You don't have to worry about if the Activity is killed after that. Even if the data was 'deleted', you would be notified it was deleted.
On the Wear device, you would listen for the changes via a Service or Activity and update UI, DB, etc. accordingly.
It probably make sense to read through this Android training guide. (It isn't too long.) The Handling Data Layer Events section is probably the most useful.
I am currently creating an Android events app that uses RxJava to wrap an old network layer and cache setup with Observable.create(). I'm currently stumped as how to approach prefetching data though. Initially I display a list of events which will then open an EventDetail Activity which will fetch the contents of the given event. I want to prefetch some of events' contents, but end up making redundant network calls if the event is selected before the prefetch returns and caches. Is there a good way to keep Observables/subscriptions alive over Activity switches? A singleton network layer held in the application? Any help would be greatly appreciated.
Typically, I keep all the logic away from Activities, so, "Yes, definitely!": A network layer is what you need.
Keeping this approach, your Subscriptions will stay alive even if the Activity is restarted, for instance, on rotation. A very useful operator you need to look into is .cache(), that will help you to reuse the ongoing network request instead of firing a new one on a new subscribe().
Loaders
monitor data source and deliver new results
After a configuration change : no need to re-query the data
I read the android guide about Loaders.
I read Alex Lockwood 4 parts tutorial . Tested his sample app too.
Tried to read the Google App for I/O 13, there's a Stream feature and reading its code find out it uses Loaders since it provides code to create a StreamLoader. Here is the Link
I suppose they use it to monitor for new data and add them to their view.
Same for Alex's app. There's an observer and when there is new data entries triggers a refresh for the UI.
So far it seems to me, Loaders are ideal choice for a "livescore" app. When there's a new update ( which means a new data entry ) it appears on your screen.
Maybe something like Twitter. New messages for you, custom Observer to notice for changes, custom Loader brings the data and an adapter to display them. No need to "pull-to-refresh".
But then again Twitter has its own RESTful API which kinda does the same job. No need for a pointer to the new data. ( don't know how they do it but I guess somehow the "push" new data to your device ).
So my question is :
Loaders are best option when we want to observe a data source and change our view so it will display the new data?
Are there any examples/app I can check dealing with that logic : monitor the data source -> get the data -> refresh UI
Any characteristic cases ( like the one with the "livescore" previously mentioned by me ) that when we have to deal with them we have to choose Loaders?
The second part of the Loaders ( configuration change, keeping the data ) I think its clear. No one want's to re-download an Image gallery when the user rotates the device.
Thank you and excuse my confusion
The best way I can describe a Loader is a Handler that is always on. Both Loaders and Handlers pass data between objects.
I agree with what you said about the "livescore" app.
The Loader monitors the source of their data and delivers new results when the content changes.
To answer your questions:
1) Loaders are best option when we want to observe a data source and change our view so it will display the new data?
A: Yes. if your data source is constantly updating. For example, like a stock-ticker app. If your data isn't constantly updating, then no, don't use a loader. For example, if your data source is only retrieved once, then there's no need for a Loader.
2) Are there any examples/app I can check dealing with that logic : monitor the data source -> get the data -> refresh UI
A: https://www.youtube.com/watch?v=3d9BeWqlfTk
Yes, they are what you want to use for the flow you're describing. Tangentially, there's also AsyncTasks and Services that have similarities.
AsyncTasks
Description (from docs):
AsyncTask is designed to be a helper class around Thread and Handler and does not constitute a generic threading framework. AsyncTasks should ideally be used for short operations (a few seconds at the most.)
Caution: Another problem you might encounter when using a worker thread is unexpected restarts in your activity due to a runtime configuration change (such as when the user changes the screen orientation), which may destroy your worker thread. To see how you can persist your task during one of these restarts and how to properly cancel the task when the activity is destroyed, see the source code for the Shelves sample application.
If you specifically just want a wrapper to basic threading boilerplate, use an AsyncTask otherwise I'd suggest you use an AsyncTaskLoader if you need a general purpose way to run intensive operations in an Activity or Fragment. You get the same benefits from AsyncTask, but it handles lifecycle issues for you. There are also specialty loaders, such as CursorLoader that will are made to handle specific data sources and have conveniences for interacting with certain UI elements.
Services
Description (from docs):
A Service is an application component that can perform long-running operations in the background and does not provide a user interface. Another application component can start a service and it will continue to run in the background even if the user switches to another application. Additionally, a component can bind to a service to interact with it and even perform interprocess communication (IPC). For example, a service might handle network transactions, play music, perform file I/O, or interact with a content provider, all from the background.
You would use a service to handle data being pushed to a phone. Otherwise, the user would have to open your app to get any pushed data. Services do not interact with your UI. So a common design pattern is to use a Service to gather data from a server (whether pushed real time or if you poll) and store it in your database for use both when your app is opened or when not. There are many other use cases for Services, but this one is probably the most popular.
Conclusion
So no, you aren't required to use a Loader to load data or do long running operations on a background thread and pass the results (or progress) to your UI thread, but they are the best option for most use cases.
I'm currently learning to develop for Android and I'm having a somewhat hard time figuring out when and how to use services. I have already seen the numerous questions asked about very similar things, but I can't quite find the exact answer to my questions.
I have an app which talks to a restful api. I fetch several lists which I would like to cache in memory and only update if the user hits a refresh button, or certain activities are created. If a list is refreshed, sometimes several activities need to be notified, so that they update their content (if they are on screen at the time). I store the data I retrieve in value objects.
On a non-android app I would usually create a sort of dataproxy class in a singleton pattern. I could ask the dataproxy to update its data via http request, and then it would send some kind of system-wide notification as soon as the data is changed, so the interested views can all be updated. I hope this makes sense.
My question is now: How do I do this the android way? Do I bind and unbind to a dataproxy service, which I can actively ask to fetch certain data? Should I do my non-persistent caching in this service or somewhere else? Do I need AIDL, or can I just use normal objects for moving data between a service and an activity? Although I find the android dev guide pretty well written and useful, I haven't found much information on services best practice.
Thank you in advance!
How do I do this the android way?
You assume that there is a single "android way".
Do I bind and unbind to a dataproxy service, which I can actively ask to fetch certain data?
You can either bind, or send commands via startService().
Should I do my non-persistent caching in this service or somewhere else?
If you're sure that you only want it to be in RAM, I'd lean towards static data members. Make the service be the "do-er", not the store.
That being said, I'd treat this more as a synchronization pattern, with the real store being a database or directory, with a cache in RAM. Users will find this less frustrating -- under your current plan, if they are in your app, then take a phone call for a while, they'll have to have you download all the data again.
Do I need AIDL, or can I just use normal objects for moving data between a service and an activity?
If they are all in the same process, normal objects is fine via binding, or use Intent extras for the command pattern.
Now, back to:
How do I do this the android way?
Option #1: Wrap your store in a ContentProvider and use ContentObserver for changes.
Option #2: Have your service send a broadcast to your package when the data changes, so the foreground activity can find out about the change via a BroadcastReceiver registered via registerReceiver(). Other activities simply grab a fresh look at the data in onResume() -- the only one that immediately needs to know of the data change is the one the user is interacting with, if any.
Option #3: Use the binding pattern with the service, and have the foreground activity register a listener with the service. The service calls the listener when data is updated. Once again, ather activities simply grab a fresh look at the data in onResume()
Option #4: Cook up your own listener system as part of your static data members, being very very careful to avoid memory leaks (e.g., static reference to an activity or service that is destroyed, preventing its garbage collection).
There are probably other options, but this should get you started.
The Google IO session mentioned by Andrew Halloran:
http://www.google.com/events/io/2010/sessions/developing-RESTful-android-apps.html
Check out the Google I/O session videos. I implemented REST api calls the easy BUT wrong way. It wasn't until watching this Google I/O video that I understood where I went wrong. It's not as simple as putting together an AsyncTask with a HttpUrlConnection get/put call.