By Jason Wei
Make the most the facility of data-centric and data-driven Android functions with this useful educational grasp the abilities to construct data-centric Android functions transcend simply code through not easy your self to contemplate functional use-cases with SQLite and others concentrate on flushing out excessive point layout techniques, earlier than drilling down into diverse code examples intimately we are living in an more and more data-centric and data-driven global. On best of that we are living in a truly mobile-centric global with the increase of Android shrewdpermanent telephones and capsule units and the surge favorite for the Android platform. in addition to the call for for extra information, there's a call for for effective, "snappy" purposes, and so builders should have a robust figuring out of whilst assorted info garage equipment are applicable and once they should not. studying the right way to use those fields to effectively create a robust program can help you develop your wisdom and talents during this sector. "Android Database Programming" is designed to aid builders create and layout data-centric cellular functions on Google's Android platform. because the global is going more and more cellular and as consumers' call for for data-centric purposes rises, realizing tips to mix the 2 successfully turns into an more and more vital asset to have as a developer. The booklet starts off by way of some of the neighborhood info garage tools on Android, and finishes off via analyzing exterior databases and methods you could make the most of them from inside an Android program. This e-book begins by way of neighborhood information garage tools, targeting writing SQLite databases to your program and likewise taking a look at how you can bind those databases to the consumer interface. The publication, via its functional technique, strives to educate you by way of examples. every one bankruptcy makes a speciality of flushing out excessive point layout thoughts, earlier than drilling down into various code examples.
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Extra resources for Android Database Programming
In our case, you'll notice that we're simply creating a table with two columns, an ID column and a name column. The query is equivalent to running the following command in SQL: CREATE TABLE my_table (_id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(255)); You'll also see that the ID column has been designated as a PRIMARY KEY and given the AUTOINCREMENT property — this is actually recommended for all tables created in Android and we'll adhere to this standard going forward. Lastly, you'll see that the name column was declared a string type with maximum character length of 255 (for longer strings, we can simply type the column as a LONGTEXT type).
In this chapter, we'll dive deeper into an extremely powerful and efficient way to save and retrieve structured data: namely, by using SQLite databases. For the time being, we'll focus on the versatility and robustness of the SQLite database as a local backend for your application, before switching focus in later chapters and looking at ways to bind this SQLite backend with the user interface frontend. Creating advanced SQLite schemas In the previous chapter, we ran through a simple example of creating and using a table with two fields: an integer ID field and a String name field.
Let's walk through an example together to tackle this problem! Consider a simple schema with three tables: the first a Students table with fields ID, name, state, and grade, and the second a Courses table with fields ID, and name, and the third a Classes table with fields ID, student ID, and course ID. What we're going to try and create is a schema where we can add/remove students, add/remove courses, and enroll/drop students from different courses. Some of the challenges we can immediately think of are as follows: • How do we obtain simple analytics, such as number of students per course?
Android Database Programming by Jason Wei