Iphone core data updating

The SQLite backend is more of an implementation detail, and in fact binary files or plists can be used instead.

The official Apple documentation describes Core Data like this: “The Core Data framework provides generalized and automated solutions to common tasks associated with object life-cycle and object graph management, including persistence.” [developer.apple.com] Before we get too technical about what Core Data is, I think it’s useful to dive in and start playing with the API a bit. The primary object that needs to be used to work with Core Data is the managed Object Context defined here.

Instructor Jon Bott starts with a review of the basics, explaining the different architectural data models currently in use, the issues that can arise from these different models, and how the latest changes in Core Data 2016 simplify these models.

He wraps up with hands-on migration to the new APIs and further tips on leveraging them in i OS 10 and mac OS 10.12 apps.

Please also check out my other post on using Realm mobile database, a no thrills alternative to Core Data, with Mantle model framework AFNetworking.

With this delightful combination of software libraries you should be able to get your network and persistence layers up and running in no time. This tutorial is intended for intermediate i OS developers. If you’re not yet familiar with this technology, I recommend that you take a look at this excellent introduction to Core Data by Adam Burkepile on Ray Wenderlich’s website. It provides, among other things, a list of current news articles in a number of categories.

After initial configuration RESTKit fetches data taking care of the network stuff and parses the results into either your custom classes or straight into Core Data.

In this tutorial we will be focusing on the latter.

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Let’s assume we’re going to use the ‘Programming’ category, whose id is 16.Our aim will be to fetch the list of current articles for a category of our choosing and then fetch information for each of those articles separately.Not only will we fetch that data, we will also persist it and present it in a nested table view.Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.If you have never worked with Core Data before, this mighty framework can seem a little intimidating.

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