• Nspersistentdocument Core Data Tutorial For Mac Desktop
• Nspersistentdocument Core Data Tutorial For Mac Pro
• Nspersistentdocument Core Data Tutorial For Machine Learning

I'm building a document-based app that allows users to enter a hierarchy of geographical data. Something analogous to a tree hierarchy of areas and cities. An area has a boundary and can contain sub-areas. An area can contain cities which are just points.

Nspersistentdocument Core Data Tutorial For Mac Desktop

• Mac OS X Tutorial Implementing TICoreDataSync in a Mac OS X non-document-based Core Data application. This tutorial walks through adding the TICoreDataSync framework to a very simple, non-document-based desktop application. The example app uses Dropbox sync, and is hard-wired to use a desktop Dropbox located at /Dropbox. In a shipping app, you.
• Further Reading: To learn more about Core Data, read Core Data Programming Guide. The tutorials NSPersistentDocument Core Data Tutorial and Core Data Utility Tutorial step you through the basic procedure for creating document-based and non–document-based Core Data applications.
• Core Data is a core competency for Apple developers—but it's notoriously complex, confusing, and crash prone. Luckily, much of this is resolved with iOS 10's new Core Data APIs. Everything has improved: syntax, architecture, performance, and support to recall and undo several layers of changes. Even the whole data container has been simplified.

Mar 07, 2008 When it comes to Core Data, there are two application models that differ drastically in their handling of the Core Data Stack: the document model and the non-document model. In a document model, each document has its own Core Data stack that is constructed when the NSPersistentDocument is initialized.

An average document may contain 20 to 30 areas and 500 to 2000 cities. The largest document would contain about 100 areas and 25000 cities.

I'm new to Cocoa programming and I don't know if a data set in that size range qualifies as 'small', 'medium', 'large' or 'very large'. Knowing that would help me determine how to to store and load the data.

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Two quotations I've read on the topic:

Nspersistentdocument Core Data Tutorial For Mac Pro

'If you have a large data set or require a managed object model, you may want to use

to create a document-based app that uses the Core Data framework.' - Document-Based App Programming Guide for Mac

'Applications using very large data sets would likely benefit from a custom persistance implementation. Core Data's reliance on KVC carries with it a significant overhead. We expect pure Swift objects would offer the best performance in terms of low overhead property access' - Cocoa Programming for OS X 5th edition

Nspersistentdocument Core Data Tutorial For Machine Learning

For my data set size, would I be best served looking at archiving with the NSCoding protocol, core data, or something custom? Fps games steam mac.