How to Manage increasing size of sqlite in Mobile App? - android

My app are sometime needed syncing with web servers and pull the data in mobile sqlite database for offline usages, so database size is keep growing exponentially.
I want to know how the professional app like whatsapp,hike,evernote etc manage their offline sqlite database.
Please suggest me the steps to solve this problem.
PS: I am asking about offline database (i.e growing in the size after syncing) management do not confuse with database syncing with web servers.

I do not know how large is your data size is. However, I think it should not be a problem storing reasonably large data into the internal memory of an application. The internal memory is shared among all applications and hence it can grow until the storage getting filled.
In my opinion, the main problem here is the query time if you do not have the proper indexing to your database tables. Otherwise, keeping the databases in your internal storage is completely fine and I think you do not have to be worried about the amount of data which can be stored in the internal storage of an application as the newer Android devices provide better storage capability.
Hence, if your database is really big, which does not fit into the internal memory, you might consider having the data only which is being used frequently and delete otherwise. This highly depends on the use case of your application.
In one of the applications that I developed, I stored some large databases in the external memory and copied them into the internal memory whenever it was necessary. Copying the database from external storage into internal storage took some time (few seconds) though. However, once the database got copied I could run queries efficiently.
Let me know if you need any help or clarification for some points. I hope that helps you.

For max size databases. AFAIK You don't want to loose what's on the device and force a reload.
Ensure you don't drop the database with each new release of your app when a simple alter table add column will work.
What you do archive and remove from the device give the user a way to load it in the background.

There might be some Apps / databases where you can find a documentation, but probably this case is limited and an exception.
So to know exactly what's going on you need to create some snapshots of the databases. You can start with that of one app only, or do it directly with several, but without analyzing you won't get a reliable statement.
The reasons might be even different for each app as databases and app-features differ naturally too.
Faster growth in size than amount of incoming content might be related to cache-tables or indexing for searches, but perhaps there exist other reasons too. Without verification and some important basic-info about it, it's impossible to tell you a detailed reason.
It's possible that table-names of a database give already some hints, but if tablenames or even fields just use meaningless strings, then you've to analyze the data inside including the changes between snapshots.

The following link will help in understanding what exactly Whatsapp is using,
https://www.quora.com/How-is-the-Whatsapp-database-structured
Not really sure if you have to keep all the data all the time stored on the device, but if you have a choice you can always use cloud services (like FCM, AWS) to store or backup most of the data. If you need to keep all the data on the device, then perhaps one way is to use Caching mechanisms in your app.
For Example - Using LRU (Least Recently Used) to cache/store the data that you need on the device, while storing the rest on the cloud, and deleting whats unneeded from the device. If needed you can always retrieve the data on demand (i.e. if the user tries to pull to refresh or on a different action) and delete it whenever its not being used.

Related

Sqlite on Android - is it stable to use and does it work fast?

I'm asking for a piece of advice. Currently, we are developing android client for out service. Service produces like a lot of dynamic information, and it must be stored on users phone so it can be accessed without connection to the net. On iOS client we achieved this using restKit. On android I found that there is no tool like restKit. So there are 2 options - use sqlite db or cache last json response. I want to use sqlite db, but our android developer sad that it's not stable and slow. Is he right? What practice is better?
The second question is that I found a sqlite editor app, which allows to edit sqlite databases on phone. Is there any way to avoid this?
You can use SQLite because SQLite is capable of being extremely fast. If you are seeing speeds slower than other DB systems such as MySQL or PostGres, then you are not utilizing SQLite to its full potential. Optimizing for speed appears to be the second priority of D. Richard Hipp, the author and maintainer of SQLite. The first is data integrity and verifiability.
The first thing you should know is that most of the time spent by SQLite (and most other DB systems) is on disk access, which is slow compared to memory operations. So the key to optimizing SQLite is to minimize the amount of disk access required. This requires some understanding of when SQLite is accessing information on disk, and why. Because operating systems generally cache open disk files in memory, a carefully tuned use of SQLite can approach the speed of a pure in-memory database.
If you are new to optimization, you must know that the only reliable way to optimize for speed is to measure where time is being spent. Unless you are already familiar with doing this for SQLite, you will often guess wrong. Use quantitative tests on representative examples whenever possible. Unfortunately, reproducibly measuring performance on an application that does disk access isn't trivial.
However it is difficult to use cache no doubt cache is fast but its not for large data and data cannot stored on cache for long time. So if you want that user will use your app offline then you should place your data on SQLite in an optimized way.
Hope this will help you.
No according to experience SQLite is the most reliable database to use in android device itself. It doesn't have separate server process and it directly read/right to single disk file.
This link will provide more information

android application with huge database

Let me explain how my application is supposed to work:
Application will ship with a sqlite database in its assets folder which will be copied into databases folder later and it has some content in it(categories, sub categories, products and news) which they all have image. Then after download user can update the content via internet and the application store the new content in database so the application can perform offline.
So my question is, after a while this content will increase in size, is it gonna cause my application to crash? Lets say I release the application with 1 MB database and after 2 years of work the database size goes up around 120 MB. Is it gonna make the application to crash?
Also the other concern is that currently I'm storing the images in database and I load'em from there. Is it a good approach? Because I don't want user to be able to clear the cache or delete the images because later on updating the content it has to download those deleted images again and it will consume traffic imo.
please remember that the Application should be able to load content offline
No, applications don't just crash because they have a large database.
Part of the point of a Cursor is that it gives you a view into a large set of data, without having to load it all into memory at the same time.
If you follow best practices I see no problem - you're using a database. Forget for a second that it's on Android - you should optimize your table structure, indexes, etc, as best you can.
Also, large database or not, don't make any queries to it on the main thread. Use the Loader API if you need to show the result of a query in your UI.
Last, potentially most importantly, rethink why you even need such a large database. Is it really that common that a user will need to access all data ever while offline? Or might it make more sense for you to only store data from the last week or month, etc, and tell them that they need to be online to access older data.
Regarding your 2nd question - please in the future separate that into a separate question. But, no, storing binary blobs (images in this case) in a sqlite database is not good approach. Also, if they clear data on the app, everything is gone, so there's no advantage to using a database to avoid that. I would suggest storing images in a folder named after your app in external storage of the device, potentially storing image URIs/names in the database.
Any problem with database will cause SQLiteException which you are able to handle in your app to prevent the abnormal termination.
Having said that, a database of 120 MB seems to be too much, are you sure your users will want all that?

Optimizing fast access to a readonly sqlite database?

I have a huge database and I want my application to work with it as soon as possible. I'm using android so resources are more restricted. I know that its not a good idea to storage huge data in the sqlite database, but I need this.
Each database contain only ONE table and I use it READ only.
What advice can you give me to optimize databases as much as possible. I've already read this post, and except the PRAGMA commands what else can I use?
Maybe there are some special types of the tables which are restricted for read only queries, but principally faster then ordinary table types?
As long as your database fits on the device, there is no problem with that; you'll just have less space for other apps.
There is no special table type. However, if you have queries that use only a subset of a table's columns, and if you have enough space left, consider adding one or more covering indexes.
Being read-only allows the database to be optimized on the desktop, before you deploy it:
set page size, etc.;
create useful indexes;
ANALYZE
VACUUM
In your app, you might experiment with increasing the page cache size, but if your working set is larger than free memory, that won't help anyway. In any case, random reads from flash are fast, so that would not be much of a problem.
Huge is relative. But ultimately a device is constrained on storage and memory. So assuming that huge is beyond the typical constraints of a device, you have a few options.
The first option is to store your huge dataset in the cloud and the connected device can offer views into that data by offering cloud services with something like RESTful APIs from the coud to proffer the data to the device. If the device and app rely on always being connected, you don't need as much local storage unless you want to cache data.
Another approach is an occasionally connected device (sometimes offline) where you pull down a slice of the most relevant data to work on to the device. In that model, yo can work offline and push/pull back to the cloud. In this model, sqlite is the storage mechanism to hold that slice of relevant data.
EDIT based on comments:
Concerning optimizing what you have on the device, see the optimization FAQ here:
http://web.utk.edu/~jplyon/sqlite/SQLite_optimization_FAQ.html
(in rough order of effectiveness)
Use an in-memory database
Use BEGIN TRANSACTION and END TRANSACTION
Use indexes Use PRAGMA cache_size
Use PRAGMA synchronous=OFF
Compact the database
Replace the memory allocation library
Use PRAGMA count_changes=OFF
Maybe I'm stating the obvious but you should probably just open it with the SQLITE_OPEN_READONLY flag to sqlite3_open: I think that SQLite will take advantage of this fact and optimize the behaviour of the engine.
Note that all normal SQL(ite) optimization tips still apply (e.g. VACUUMing to finalize the database, setting the correct page size at database creation, proper indexes and so on...)
In addition, if you have multiple threads accessing the database in your application, you may want to try out also the SQLITE_OPEN_NOMUTEX and SQLITE_OPEN_SHAREDCACHE flags (they require sqlite3_open_v2, though)
Also you need journalling switch off, because data not change http://www.sqlite.org/pragma.html#pragma_journal_mode
PRAGMA journal_mode=OFF

Android: SQLite Deletion Effeciency

I have this question on how is deletion done on Mobile development, in lieu with Database of course, which or what is the best practice in these field, Does deletion of records permanently in database recommended on mobile dev, or flagging in database that a record is deleted more efficient?... i know that in large scale DBMS u have to flag a record that is deleted so u can view past records i just read that on the DBMS book though, does the same principle apply on mobile development, considering that i'm only developing an application for a very small scale only
Any inputs form all you veteran DBAs and Mob. Devs out there are much Appreciated..
As databases on a mobile device are not likely to get large, deletion shouldn't be too inefficient.
But I would say it is useful to flag deleted rows instead, as usually databases in these scenarios are used to hold data locally when the device is off-line pending synchronization to the network, and it's much easier to query deletions and upload them rather than diffing the local rows with remote ones to find what needs to be deleted.
It depends on the design requirements of your application, so it has nothing to do with the efficiency of app. What you read is for large scale systems where audit is required. Since you are developing an application which will run on mobile platform and would probably not require auditing, so in that case its fine to delete such records (at least that's what I would prefer to do).
Flagging records would increase the size of database and is not a good idea to leave unwanted data (memory) on your device.

Can SQLite handle large amount of data

I will be making a mobile application in Android. My application is like Google Map's Get Direction feature, but a lot more complex, so I need to store data about points in the map. So I'm worried that SQLite may not be able to handle these large amount of data(or considering the limited storage of the phone). I have no background in SQLite so please bear with me.
SQLite can handle large amount of data, the problem here is the device's limits. If you are going to store 3MB or more you should consider saving that data in an external server and access it via the Internet. In fact, when you are building an application that use large amount of data, usually the application don't use all data all the time, so you can save in cache (in a local database) the data that the app is currently using or is about to use.
I think the best way to find out is to write a simple app that simulates the types of transactions you'll be doing and see how it does.
You might also want to compare how SQLite does to an object database like db4o, which is very performant and used very often as an embedded database (and can easily handle gigs of data).

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