Save Time & Energy with libcompression

Photo by Eyasu Etsub on Unsplash

In iOS 9 and macOS 10.11 Apple introduced the libcompression APIs to provide a more standard way of compressing and decompressing data in your apps while offering a selection of algorithms with tradeoffs between compression efficiency, time, and energy requirements. In the past I’ve used third party APIs to compress or decompress ZIP archives given the popularity of the format, but hadn’t considered using other algorithms to either benefit from better compression or energy efficiency. Given that, I decided to take a look at the algorithms offered by libcompression and see how they compare.


Searching App Content with Core Spotlight

Photo by tyler hendy from Pexels

In the first part of this series of posts about Core Spotlight we looked at how to use the Core Spotlight APIs to index application data, how to search that data using Spotlight, and how to respond when a user selects a search result for your application’s data. In this post we’ll take a look at how easy it can be to search that same index from within your app. The demo app has been updated and is still available on GitHub. (more…)

Indexing App Content with Core Spotlight

Image via, licensed under CC.

Core Spotlight has been available since iOS 9 but Apple has made some updates in iOS 10 that make it worth another look. In this series of posts I’ll look at how you can use Core Spotlight to index your application data and search that data both from within iOS using Spotlight and from within an app using some of the new Core Spotlight APIs such as CSSearchQuery.

Our Demo App

To demonstrate how to index application data using Core Spotlight I’ve created a basic iOS app that loads and displays information about some airports and heliports around the world. The app loads this data from a CSV file bundled within the app, displays a list of airports, and provides a basic detail view showing the airport on a map along with the type of airport and identification code. The source to the app is available on GitHub. (more…)

Smarter Debugging with Unified Logging & Activity Tracing

Photo by Gabriel Manlake on Unsplash

When developing for macOS, iOS, tvOS, or watchOS to get the best performance or provide a secure solution you often need to develop apps that run asynchronously using tools such as XPC, GCD, and NSOperationQueue. Debugging this type of code can be difficult, especially when data is being passed between queues, threads, or processes.

Logging is an age old technique to help in these situations, but it’s easy to be overwhelmed by the amount of log data and to introduce or mask problems because of the observer effect — the overhead associated with many logging frameworks. I know logging isn’t exactly going to steal the headlines away from Siri integration or watchOS 3, but as a developer it’s a valuable debugging tool and the changes in these APIs look to save some significant time while debugging crashes and squashing bugs.


Level Up Your Coding Skills With

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A few months ago I stumbled across an interesting open source project created by Katrina Owen called that provides a collection of programming practice problems in over 30 languages. On the surface, it’s a great resource for learning to code or learning a new language. I’ve found however that as you dig deeper it has much more to offer on a number of levels.
To get started you simply install the exercism command line client, login with GitHub, pick a language to work in, and fetch your first problem. The first problem in many languages is often just a simple “hello world” exercise just to get you started. When you fetch a problem you get a ReadMe file with a description of the challenge and a suite of unit tests. In TDD style you write code until the tests are passing and you’ve solved the problem. Afterwards, you submit your solution and other exercism users are able to review and comment on your code. You can carry on the conversation and submit additional revisions of your code as part of this informal peer code review.