By Adam Stroud
Battle-Tested concepts for Storing, dealing with, and Sharing Android info this can be the 1st advisor to target some of the most severe facets of Android improvement: find out how to successfully shop, retrieve, deal with, and percentage details out of your app’s inner database. via real-world code examples, that you could use on your personal apps, you’ll take complete benefit of SQLite and the database-related sessions on Android. part of Addison-Wesley’s Android™ Deep Dive sequence for skilled Android builders, Android Database top Practices attracts on Adam Stroud’s large event best state-of-the-art app tasks. Stroud experiences the middle database idea and SQL recommendations you want to successfully construct, control, and browse SQLite databases. He explores SQLite intimately, illuminates Android’s APIs for database interplay, and stocks smooth top practices for operating with databases within the Android atmosphere. via a whole case examine, you’ll the way to layout your info entry layer to simplify all features of knowledge administration and steer clear of undesirable technical debt. You’ll additionally locate specified ideas for universal demanding situations in construction data-enabled Android apps, together with concerns linked to threading, distant info entry, and exhibiting facts to clients. large, updated pattern code is offered for obtain at github.com/android-database-best-practices/device-database.
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Additional info for Android Database Best Practices
At some point the data from the WAL file needs to be added to the main database file. This is called a checkpoint. SQLite, by default, performs a checkpoint when the WAL file reaches a certain size. The checkpoint operation happens automatically without intervention from an app. Enabling WAL in SQLite does have performance implications that developers need to be mindful of. While there are both advantages and disadvantages to enabling WAL, 41 42 Chapter 3 An Introduction to SQLite most of the disadvantages are limited by the fact that the app using the SQLite database is running on Android, which imposes certain limitations.
Both forms are described in the following sections. Tuple Relational Calculus In tuple relational calculus, the tuples of a relation are evaluated against a predicate. The output of an expression is the relation that contains the tuples that make the predicate true. Again, with relational calculus, we only need to specify what we want and let the system determine the best way to fulfill the request. 1, we can formulate a tuple relational calculus query in words. ” Notice that this is the same query that we, in the previous section, defined using r elational algebra.
This allows tuples in the device relation to reference tuples in the os relation. As mentioned previously, the primary key is a candidate key that is selected as the primary key. The os relation has two candidate keys: the version and the api attributes. Notice that the codename attribute is not a candidate key as it does not uniquely identify a tuple in the relation (multiple tuples share the codename “Lollipop”). For this example, we use version as the primary key for the os relation. Using version as the primary key for os, we can rewrite the device relation to use the os foreign key to add the normalized relationship to the device relation.
Android Database Best Practices by Adam Stroud