Storing large data locally or online for Android app? - android

First time posting and first time working on Android, so go easy if I am breaking any rules :)
Anyways, I just got into making an Android app and I'm trying to create a simple trivia game. I plan to have many questions (hopefully about 5000+ questions) made. No data manipulation made, just straight up reading the questions and presenting it to the user. I am now faced with the dilema in how to store the questions.
I have two choices:
1.) Bundle the questions with the app: Possibly store the information in SQLite. Originally, for demo purposes, I placed the questions in an XML file, but I quickly realized how inefficient it will be once the questions start piling up. First, I am concerned if opening up such a huge XML file would suck up Android's memory. Secondly, I am worried how large the app would be if it contains 5000+ questions. I read here about the pros of XML vs SQLite. In that example, the user has 70,000 entries so maybe my 5,000 questions would be enough?
OR
2.) Host the questions on a server: I believe the upside is the app wouldn't need to be bundled with a vast amount of questions and wouldn't need to worry about the logic of opening and assembling the questions. It would just hit a PHP page and depending on the parameters sent, the PHP page would return the questions in XML format. The downside is the user would need to be online (to retrieve the questions) in order to play the game and my server would need to be up and running 24/7.
Has anyone encountered this design issue of how and where to store vast amount of data in an Android app?
Thanks, any help would be much appreciated!

From a marketing perspective, I think the right approach is #1. Just looking at the top app list, it's filled with apps that work offline. I don't know why most people fail to mention this one important criteria when they talk about marketing apps... especially in Android, where lots of people don't have a data plan. Plus, a trivia app sounds like something someone would probably use during a commute in a train as opposed to something like Facebook Chat that they'd use when they're online.
From a technical perspective, storing 5000+ questions really won't take a huge amount of space. There's this app called "MyFitnessPal". It stores maybe over 30,000 foods in a SQlite database, with nutritional information. So don't overestimate how much space it will take.
The advantage of going with #2 is if the questions or answers change often, you might want to go with that approach.

I think that the best option for you is to store the questions in SQLite.This way the users can have access to your game even if they are offline,which is one of the important things as Hisoka mentioned. So I think you should try using SQLite.

Related

Android: generate views dynamically from database

My goal is to collect health and family related data through interview some patients. So I'll provide every information about every view or question in database. like view type (radio button,edit text ,spinner...), data type (text or number), data length, whether it has any media (image, audio, video) regarding this question. Questions might have a dependency (visibility or value) on other question. I have tried so far and what I got that for small number of questions its okay. But when its about 100 or 150 or more questions, performance is not good. Since I am running lots of sql query and refreshing view manually. I mean on event (onSelect, onChange, onChecked.....) I am saving data to db, changing other question's visibility, value. So far lots of requirement have been added to my app. Can you suggest me about coding structure , library so that I can improve the performance? What are the things that should be used in this app? I have attached some pictures so that you can get a idea.
View Demo https://i.stack.imgur.com/ZCGuz.png
Dependency https://i.stack.imgur.com/j2nzj.png
Required field validation https://i.stack.imgur.com/tFuOH.png
You could use Google Firebase services. There are some huge advantages compared to sql especially with app development. It's optimized for many queries and therefore it's speed is impressive. You can just a Firebase account and use it(Although with limited resources). I would really that you add the firebase library to your project. Also with sensible health and personal data should stay private and as far as I know there are literally always security issues with Apache2 or nginx or php or mysql/mariadb so just do it the easy more reliable and more secure way. I hope I helped you out. :)

Expose data from same back end to multiple clients

I am a new guy to full stack web application development. I want to design a web application which has data stored in say back end databases. Now I want to design a desktop web client as well as android application which will be able to fetch data from back end. So how do I need to start? What APIs can be used or how can I expose data from same back end to multiple clients?
Also I want to handle massive amount of request. How to design such a system? What to use in back end to store data and handle requests efficiently.
Any video / document / reference containing useful information will be much appreciated.
Wow, you have a whole forest of questions to settle. You are going to need to go do your own research on such things as algorithms and data flow for your application before you can make any reasonable choice of platform. Here are a couple of basic ideas to get you going: 1) look at Java and Node.js. There are lots of other possible platforms but chances are you will end up using one of those two. Try to think about what the actual code you will generate in each of those will look like. A little or a lot? 2) Just store your data in files, most probably using JSON. Maybe you will end up doing something more fancy after you figure out where you are going with your project, but you will be surprised how well the simple file-based solution will scale.
When you have done a bunch more research, and maybe even coded up a few ideas on your platform of choice, then come back and massively edit your question. Only then will specific suggestions for tool choices be possible.

Database options for android?

I am a CS major and I just recently decided to start putting some of my java knowledge to use by learning how to program with Android. I have just been doing tutorials and reading some books on how to get started, but I would like to write an app and eventually release it to the app store. I have most of the ins and outs of the app figured out, but I'm not sure how to approach data storage. Part of my app will track shipping numbers and info, however, each shipment will have a pretty long list of fields (Name, ID, Address, Weight, Girth, ect.). The list in full approaches 10 items, if you include optional fields. Thats a lot of information to have a user fill out, especially if they have to do it on their phone (app is designed for small businesses, so lots of shipping for tracking). I would prefer not to have to build a sister website to hold this info for the user, so I guess my question would be, is there a service for mobile apps to use to push and pull info that a user could access through their computer? Or would it be better to use a file uploader and just format the info? I'm still an android novice, so I figured I need a little advice from the pros. Any and all advice would be appreciated, and if you know a database type service that is safe and reliable, that would help very much. Thank you!

Store big JSON in Titanium for iOS and android

How the app works
Currently an app is in the works which utility is to explore activities in 5 regions. Each activity is represented as an JS object with a fair amount of properties. Activities can be viewed through different filters in their respective tab, for example categories or a map. Inside each main filter, there are options to filter on date, region, accessibility etc.
The challenge
There is a lot of JSON that needs to be stored on the device, and support is required for both iOS and android.
In the best case scenario the data needs to be in sync with the database, and all data needs to be available on the device. The app will need to be snappy for a good experience, this means that fetching data needs to be as fast as possible. Furthermore, filtering data needs to be as snappy as possible.
Viable solutions considered so far (which don't quite cut it yet)
MongloDB with the MongloDB Titanium Store adapter, silver bullet?
This approach at first seemed be the silver bullet. Although the project seems promising, it is maintained by one heroic hacker, and the project is in need of some documentation. I have inspected the source, and hacked my way through the API, but to no avail, console.log and jasmine tests won't cut it this time. More important still, it is not quite finished yet, and features compared to MongoDB are missing. A great project, I hope it will catch on more and be capable enough to assist desperate titanium developers in the future.
JSONDB, only for iOS
This app really needs to work on both platforms, iOS and android, so no reason for trying this. Moreover, JSONDB works within a single context only, which would be a serious concern as well.
Ti Filesystem and JSON.stringify + JSON.parse, not memory efficient
A viable solution for saving a small list of saved items, which is also a feature in the app. But in other posts issues over memory limits with the use of JSON methods have been noticed for android. Though this might not be the least of my problem, memory efficiency overal will be a huge problem. Never have I seen benchmarks for performance with file reading and writing for Titanium, so I am not sure how big of an impact reading and writing would be. Filtering big objects is a huge concern as well, underscore won't manage this kind of big data. Iterating big objects is a huge problem no matter what approach I will choose.
Big ass global object
Practically the same approach as a Filesystem, only keep it in a global. This has the same issues and is just a plain unethical practice.
SQLite, yuck
Highly document oriented JSON data to SQlite, it sounds worse than samsung galaxy fanboys. Any feedback on this?
Multiple files + SQLite to maintain + lazy load, unicorns and rainbows?
Desperate for a solution, I might be onto something in the course of writing this post. There are probably something 10-16 main categories which each 1 to 4 subcategories. Keep all the activities for a subcategory in it's own file, which is a quite slim JSON. Browsing through categories, each subcategory is rendered in it's own TableViewSection, each subcategory be appended independently to the table based on how much the user is scrolled down, effectively lazy loading the content. There is only one quite quick file read. Within this view adding more subfilters effects only the already loaded items, and iterating this items is reasonably affordable.
Updating the data is also quite effective, only files that are subject to change are updated. A SQLite database can maintain the dates of all activities which have a expiry date, it can dynamically build it's own JSON file for the upcoming seven days or month. This will make the calendar view quite smooth for most usage. Picking future dates will be a nightmare though.
Still the map is an issue...
If you have read all of this, thank you. If you have experience with something similar, or might be onto something, feel free to reply! I have to quit writing, quit coding and start sleeping.
Sorry for the crappy monglodb docs. I developed it for some internal projects and really wanted to share it with the community, but the lack of docs does make it hard to use. But great news I have docs now lol also slimmed down and cleaned up the source code. Hope it works better for you now. http://monglodb.com
I'm the original author of JSONDB and thought I'd drop in and provide an answer for anyone finding this question via Googlefu.
JSONDB is now deprecated software - it's been replaced by another project called SculeJS. SculeJS aims to provide a full featured NoSQL database written in pure JavaScript for use in Titanium, NodeJS, and web apps.
JSONDB was originally only available for use in iOS applications due to limitations in the way Ti native modules were built - the current versions of JSONDB and SculeJS are compatible with both iOS and Android apps.
In a lot of ways MongloDB and SculeJS are similar, where they diverge is in the way SculeJS has been engineered. SculeJS is intended more to provide powerful, generic data structures with a rich query layer rather than being a straight port of MongoDB. No insult to Monglo - it looks like great software, I just wanted to point out the difference in intent between the two projects.
As a side note - all pure JavaScript modules are limited to to a single execution context within Titanium applications.
For what you're building I think MongloDB, JSONDB, SculeJS and TaffyDB would all do the job, the details of the implementation would just be slightly different.
I was encountering the same problem. I had about 5mb's of data which I wanted to store with the app, and not let it download.
I finally ended up with an SQLite database, with high performance. It is not as bad as you think. It might not be a nice solution ,but for the lack of choice it is a very good one IMHO.
Just create a couple of tables, and functions to parse them to database, and the other way around, and I promise you, you will be happy.
DO NOT store the JSON in the database, but store the values appropriately.

Android, preferred method for accessing 10,000+ record database on server

So I am in need of some assistance in trying to determine what I am going to need in order to accomplish a task.
Plain and simple...I am looking at accessing multiple databases some of which may contain over 10,000 records via Android. From what I have seen web services that return JSON is the way to go for something of this nature, but I don't think that fully answers my question or know if this is the preferred way to go about this.
Digging a bit deeper...I have a few apps on the market now, but this will be my first attempt at an enterprise style app, and I have accessed public web services with a lot smaller footprint than what this is going to be. I have little to no experience within the realm of server/network administration which is where I am getting tripped up. This is from the ground up and I have to ability to obtain almost any resources I need to complete this task.
It appears that there is a SQL Server 2008 on the back end if that helps. If I need to provide further details let me know. I am looking at a solution that will handle organizational growth, scalability, authentication and ease of user...so keep that in mind too.
So what is the best practice/preferred method for doing an enterprise application with a substantial data set? What are the big dogs doing, and how? Both on the client side and server side. I am trying not to "screw the pooch" out of the gates on this, and this is one of those measure twice and cut once situations which is why I am trying to garner plenty of input and assistance.
Thanks in advance!
If you don't have an API/service yet, you need to write one on top of your database.
I can think of two approaches, depending upon your use case.
Paging: Setup an API that supports paging, and show the results page by page. The user can't possibly view 10000 records in one go.
Search and suggest: Try creating a suggestion list, when the user starts typing out something. Fetch results that start with the initial characters entered. However, the API should limit the results to a comfortable number, so that you don't have to parse a lot.
Depending on your use case, you could try one of these.

Categories

Resources