My question surrounds around one single point - data management in mobile application. I have created a mobile application where data comes from server. The data includes both text and images. Following are the steps I am doing for this :
First launch :
1. Get server data.
2. Save server data in Sqlite database.
3. Show Sqlite data.
Next launches :
1. Show Sqlite data.
2. Get server data in background.
3. Delete previous Sqlite data.
4. Save new server data in Sqlite database.
5. Show Sqlite data.
I have couple of questions on these steps :
1. Is this the right approach ? Other way could be showing data every time from server but that would not display the data on screen immediately (depending on internet speed).
2. I also thought of comparing the Sqlite data with the new server data. But faced a big challenge. The new server data might have new records or deleted records. Also, I could not find an appropriate approach to compare each database field with JSON data.
So what is the best approach to compare local Sqlite data with new server data ?
3. Each time I delete the Sqlite data and insert new data and then refresh the screen (which has a UITableView), it blinks for a second which is obvious. How to avoid this issue if steps 3, 4, 5 are followed ?
4. How should I proceed with data update in case I come back on the screen each time or when the application becomes active ? I am very aware of NSOperationQueues or using GCD for that matter. But what if I am crazy and go back and forth to screen again and again. There will be a number of NSOperations in the queue.
It's a challenge to synchronise server data, I've done that before, and if you can spend time on it I'd say it's the best solution.
You may need creation and modification dates on both server and local objects, to compare them - this will let you decide which objects to add, update and delete.
If the server sends you only the recently updated objects you can save a lot of traffic and improve performance (but deleted objects will be harder to detect).
If the data is only changed in the server it's easier, when the app can change the data too it becomes more complicated (but it seems that it's not your case). It also depends on how complex the database is, of course.
If you don't want to invest some time in doing this, just fetching all data everytime works too, even if it is not ideal! Instead of showing the old data and blinking it, you can just make the user wait 2-3 seconds when entering, while you get the new data. Or instead you can fetch the data only when starting the app, and so when you get to that view controller it will be ready already.
It's a complex problem that everyone faces at some point, so I'm curious to see what other people will suggest :)
This is a good question.
I personally think downloading data, store locally and later try to sync is a dangerous scenario. Easy to introduce bugs, master <-> slave issues (what data should be master, if multiple devices would be used etc.)
I think something like this could be a working approach:
1. I would try to look at possibilities to lazy load the data from the server on-demand. That is when a user have a View that should display data, load that specific data with the creation of that specific View. This ensures the data is allways in sync.
2. Tackling the need to reload data from server from every view, could be done by simply storing the downloaded data as objects in memory (not using SqlLite). The view will try to load the needed data trough your cache manager, and it would serve it from memory, if available. If not in memory simply get the data from your server and add it to your memory cache.
The memory cache could be a home made data manager wrapping a Dictionary stored on you AppDelegate, or some global "Singelton" to wrap the cache management/storing and data loading.
3. With lazy loaded data and memory cache you would need to make sure any updates (changes, new records, deleted records) updates your memory data model, as well as pushing these changes to the server as soon as possible. Depending on data size etc. you could force the user to wait, or do it directly as background process.
4. To ensure the data is in sync, you should make sure that you periodically invalidate (delete) the local memory records in the cache and thereby force data updates from the server. Best approach would probably be to have a last updated timestamp for each record in the memory cache. So the periodical invalidator would only delete "old records" from the memory cache (once again not from the server).
To save server from unnecessary data load, the data should still load on demand when the user needs it in a view, and not as part of "cache invalidation".
5. Depending on the data size you might need to look at "cache invalidation". Could be as simple as when xx records are stored, start deleting old objects from memory cache (not server, only locally on device).
6. If data sync is absolutely critical you might want to look at refreshing your memory cache for a record, just before you allow the user to change data. E.g. when user taps "Edit" or similar, you grab the latest data from server for that record. This is just to make sure the user is not going to update a record using outdated data and thereby accidentally overriding any changes made remote, or on another device etc.
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My take on it. I do not believe there is a "perfect right way" to do this. But this would be what I would try to do.
Hope this will help with some ideas and inspiration.
How about this:
If data exists in SqlLite, load into "in-memory" copy and show it
In background load new server data
delete old sqlite data if it exists (note that the in-memory copy remains)
save new server data to sqlite
load new sqlite data into "in-memory" copy and show it.
If no data was found in step 1, display a "loading" screen to the user during step 2.
I'm making the assumption that the data from SqlLite is small enough to keep a copy in memory to show in your UITable view (The UITable view would always show data from in-memory).
It may be possible to combine steps 4 and 5 if the data is small enough to hold two copies in memory at the same time (you would create a new in-memory copy and swap with the visible copy when complete).
Note:
I don't talk about error handling here, but I would suggest that you don't delete the sqlite data until you have new data to replace it with.
This approach also eliminates the need to determine if this is the first launch or not. The logic always remains the same which should make it a little easier to implement.
Hope this is useful.
You can do same things more efficiently by MultiVersion Concurrency Control (MVCC), which uses a counter (sort of a very simple "time stamp") for every data record, which is updated whenever the record is changed means you need to get those data which is Updated after last sync call that reduces lots of redundant data and bandwidth.
Source: MultiVersion Concurrency Control
Related
I understand that Core Data is essentially a self-contained local database, but I'm not sure if I should be using it in my app or not. Basically, it would be more for caching purposes if anything, since I retrieve all of my content from a web server database. Regardless, I was wondering if Core Data would be useful is any of these situations:
Scenario #1: I retrieve a list of "items" from the web server and feed them into a table view. This is essentially the first page the user sees. The table can be refreshed to retrieve more results, but existing items likely won't change. Over time this list of items could grow tremendously. Items can be deleted.
Scenario #2: A user has a friends list. This list of friends will stay the same unless he or she adds more friends. I imagine there will be a scenario where a friend deletes their account, in which case the friends list will be altered as well.
Scenario #3: Messages can be attached to items. They can't be edited or deleted, so the only change in state for a list of messages would be if a new message was added. Essentially the same as items, except they can't be deleted.
Actually, for your scenario I would say that you don't need any persistence in your app, but rather fetch your data from the server every time the app starts and just keep it in memory. There are a lot of apps which are doing it this way and this is totally fine behaviour.
However, there are some drawbacks of not using persistence:
worse offline experience for your user since they depend on a network connection, so effectively without a connection they can't do anything within your app
risk of slow loading
On the plus side we have:
using Core Data in your app is a huge implementation overhead (especially if you haven't used it before)
after having integrated Core Data, you still have a lot of issues to tackle, first and foremost: data synching between your app and the backend
If you decide to go for persistence, also take a look at alternatives to Core Data like Realm.
Finally, my advice still is to not use Core Data in your situation. However, keep in mind that you can build a version of your app that doesn't use persistence. And then, once you see that your app is well-received and gets more attention, you can still go and add persistence later on.
Design question:
My app talks to a server. Json data being sent/received.
Data on server is always changing, and I want users to see most current data, not stored/cached data. So I require a user to be logged in order to use the app, and care not to persist data in the app.
Should I still use CoreData and map it to Json's.?
Or can I just create custom model classes and map Json's to it's properties, and have nsarray properties, which point to its child objects, etc. ?
Which is better?
Thanks
If you dont want to persist data, I personally think core data would be overkill for this application
Core Data is really for local persistance. If the data was not changing so often and you didnt want them to have to get an updated data everytime the user visited the page, then you would load the JSON and store it locally using CoreData.
Use plain old objective-c objects for now. It's not hard to switch to Core Data in future, but once you've done so it gets a lot harder to change your schema.
That depends on what your needs are.
If you need the app to work offline, you need to store your information somehow in the client.
In order to save on network usage, you could store locally, then query the server to see if it had an updated answer -- you could do this by sending a time stamp to the server and return a 304 Not Modified if the entity hasn't changed.
Generally, it depends on how much time you have to put into the app and what your specific requirements are, but as a general rule I would optimise for as low bandwidth usage as possible, as that not only reduces potential data costs, but also means the answers will be more quickly available to your users (when online and they have not changed) and also available offline.
If you do not wish to store data locally at all,
I'm using a UITableView which hooks into a rest API.
On first launch the app retrieves the data the UITableView will display and parses it in to a Core Data database.
This works fine for small datasets. But when the dataset grows to above 300-500 items it does not perform very well. Taking minutes to finish downloading+parsing. The app isn't deadlocked during this time, but the user likely won't wait for the parsing to complete.
I then decided to use paging. So now, I only retrieve the latest 20 items, and then the user can click "Load more" to go back further. The data is cached.
This seems to work well except for one problem.
Because I'm not downloading all the data on each load, I cannot tell when an item has been deleted on the server and I cannot tell when an item has changed (say the title may have changed).
Can anyone provide me with any suggestions to resolve this?
Thanks.
We routinely request a similar number of items and display it in a table view. However in our case the API returns JSON and we store it in model objects, not Core Data. Once the data is downloaded it takes less than a second to go from JSON to appearing in the table. Core Data is a bad idea for anything that isn't actually a database, or that isn't preserved for a past a user session. But you need to identify which part of your transaction is actually taking the most time. In our case it's the backend behind the API, but once it shows up everything is quite fast.
Also, in our case the data is around 700K and we are going to GZIP it soon to minimize the network time even further.
I have what I would presume is a very common situation, but as I'm new to iOS programming, I'm not sure of the optimal way to code it.
Synopsis:
I have data on a server which can be retrieved by the iPhone app via a REST service. On the server side, the data is objects with a foreign key (an integer id number).
I'm storing the data retrieved via REST in Core Data. The managed objects have an "objId" attribute so that I can uniquely identify the managed objects in the rest of my code.
My app must always reflect the server data.
On subsequent requests made to the server:
some objects may not be returned, they have been deleted on the server - in which case I need to delete the corresponding objects from Core Data - so that I'm reflecting the state of the server correctly.
some objects have attributes which have changed, therefore the corresponding managed objects need updating with the new data.
my solution - and question to you
To get things going in my app, I made the easiest solution of deleting all objects in Core Data, then adding all new objects in, created with the latest server side data.
I don't think this is the best way to approach it :) As I progress on with my app, I now want to link up my tableview with NSFetchedResultsController, and have realised that my approach of deleting everything and re-adding is not going to work any more.
What is the tried and trusted way of syncing Core Data with server side data?
Do I need to make a fetch request for each object id I get back from the server, and then update the object with the new data?
And then go through all of the objects in core data and see which ones have not been updated, and delete those?
Is that the best way to do it? It just seems a little expensive to do a fetch for each object in Core Data, that's all.
Pseudo code is fine for any answers :)
thanks in advance!
Well, consider your download. First, you should be doing this in a background thread (if not, there are lots of SO posts that talk about how to do that).
I would suggest that you implement what makes sense first, and then, after you can get valid performance data from running Instruments, consider performance optimization. Of course, use some common sense on "easy" performance stuff (your design can take care of the big ones easily enough).
Anyway, get your data from the online resource, and then, for each object fetched, use the "unique object id" to fetch the object from core data. You know there is only one object with that ID, so you can set fetchLimit to 1 on your fetch request. You can also configure your "object id" attribute to be an INDEX in the database. This way, you get the fastest search from the underlying database, and it knows to stop looking once it finds your one object. This should be pretty snappy.
Now you have your object. Change any attributes necessary. Save, rinse, and repeat.
Furthermore, for several reasons, you may want to know when objects were last updated. I'd suggest adding a timestamp to each object that gets changed with the current time every time an object is changed. This will also help in deleting objects. Since your online database does not tell you which objects are deleted, you must have some way to know that an item is "old and no longer needed."
An easy way to do this is to remember the time you started your update. After processing all objects from the download, you now have a way to find all the objects that were deleted from the online database. Basically, any object with a "last update" timestamp before the time you began the update should be removed (since they were not added or modified in the last update). You can also index the database on this field, which will make finding those objects faster - unless your database is huge, I'd wait to see what Instruments has to say about this one though.
I am currently creating an iOS app, which connects to a database and asynchronously downloads a JSON object of data to display in a table view.
As it currently stands, this is an ok way to do it. However, when the database starts getting much larger, this will cause a massive inconvenience. I'm reasonably proficient in Objective-C but not so much in the database side of things. What would be the best way to get this data from the server, and keep it in the app? At the moment, I have a custom class object storing the data for each of the 'objects' in the JSON object. There will however be many other aspects of the app that the database will handle, such as invites, logins and user details.
Would core data be the way to go? I.e duplicating the database (to a certain extent) and storing it locally, then accessing from there. As I said, i'm not really sure which route to take here, so any advice would be real appreciated.
Core location is for handling location (satellite (and wifi) positionning).
I guess you mean Core Data. Core Data is a graph object model which allows you to manipulate data as objects. You don't dig directly into the database, you ask for objects instanciation through predicates (kind of where clause in SQL) and the manipulate the objects.
This stated, it all depends on what is a "big" database. If it's really big you could consider copying locally a part of it and ask for what's remaining from the server through your webservice.
Another question that you could ask yourself is the quantity of data that never change and if your website database and your app database needs to get synchronized (if your website database is always changing then it would be dumb to copy it in your app totally and always synced your app..).
Links :
Introduction to Core Data
Difference between Core Data and a Database (Cocoa With Love)
edit :
A question you can ask yourself is where your data needs to be saved ?
if your app is just for printing 20 cells out of a total of 200 cells then i would go for a total download of your 200 cells. The load of the other cells will be with no delay after first download, especially appreciated if you're using table view cells with reusable cells
is a delay of some seconds acceptable between the 20 first cells and the 20 following ? I think there is no real "good" answer to your question, it depends on many factors (purpose of your app, acceptable time between loads, does the info needs to be modified and saved back to server or locally, what kind of customers, what your app will do with the cells, if you have a database locally will it be totally independant from "mother" database (if no, what kind of synchronization), etc.)
Trying to sum up things according to what I've understood of your needs, I would say that webservices is good if you just need to retrieve info and exploiting it after without saving it back (even if you can do it actually having services allowing you to do it), having a database locally is good if you need your app to be independant from your server in some ways.
Only you has the key to answer all this and take a decision according to your needs and your knowledge of your application and your customers.
Something like JSON or SOAP is the way to go with getting structured data from a web service into objects in your iPhone app.
Storing relational data on the iPhone itself is easy with SQLite. Here's a decent looking tutorial.
Make things easy for yourself by writing a data layer, abstracting away calls to the database, to avoid dotting SQL queries all over your code in places it shouldn't be, like the UI.