Xamarin.Android Data Access
Most applications have some requirement to save data on the device locally. Unless the amount of data is trivially small, this usually requires a database and a data layer in the application to manage database access. Android has the SQLite database engine 'built in' and access to store and retrieve data is simplified by Xamarin's platform. This document shows how to access an SQLite database in a cross-platform way.
Data Access Overview
Most applications have some requirement to save data on the device locally. Unless the amount of data is trivially small, this usually requires a database and a data layer in the application to manage database access. Android both has the Sqlite database engine "built in" and access to the data is simplified by Xamarin's platform which comes with the SQLite Data Provider.
Xamarin.Android support database access APIs such as:
- ADO.NET framework.
- SQLite-NET 3rd party library.
The majority of the code in this section is completely cross-platform and will run on iOS or Android without modification. There are two sample apps discussed:
DataAccess_Basic – Simple data operations writes the results to a text display control;
DataAccess_Advanced – Integrates data operations into a small working application that lists and edits a simple data structure.
Both sample solutions contain iOS and Android sample application projects.
For Xamarin.Forms applications, read working with databases which explains how to work with SQLite in a PCL library with Xamarin.Forms.
The topics in this section discuss data access in Xamarin.Android using SQLite as the database engine. The database can be accessed "directly" by using ADO.NET syntax or you can include the SQLite.NET ORM and perform data operations in C#.
Two samples are reviewed: one that contains very simple data access code that outputs to a text field, and a simple application that includes create, read, update and delete functionality. Threading and how to seed your application with a pre-populated SQLite database is also discussed.
For additional examples of cross-platform data access see our Tasky Pro case study.