Hello Everyone, today we are presenting to you the beginning of a blog series that will cover the most recent enhancements and features in the PI AF SDK 2016 (2.8.0.7444) and greater. My colleagues and myself, with the help of the AF SDK Development Team, will prepare and publish those posts in the upcoming weeks. Our initial thought on this is that there are many new features that are worth an explanation; we also believe this may help you in:
- Learning the best practices when using the AF SDK
- Understanding .NET features you may not be aware of and don't really know when to use
Topics
We already prepared a few topics we want to cover, and you are more than welcome to propose ideas and suggest which topics you would like to be covered first.
Below are the current topics we are preparing to work on. The number is just a reference so you can refer to them in your comments. The order in which the posts will come may differ.
# | Post Topic | Summary |
---|---|---|
1 | Why you should use the new AF SDK Search | AF SDK 2016 (2.8.0.7444) introduces a new and faster search mechanism for elements and event frames. This post will explain how to leverage the new search features. |
2 | Async with PI AF SDK: Introduction | Introduction to the new async methods that may help improving performances in specific circumstances. We will answer questions such as when should I use async AF SDK calls? And how to use async and await in .NET? |
3 | Async with PI AF SDK: From Tasks to Observables | Many async use cases involve launching multiple async tasks and processing them as they complete. This post demonstrates how to do so effectively using an Observable pattern provided by Rx.NET. IObservable is the asynchronous complement to IEnumerable found in the (synchronous) AF SDK bulk calls. |
4 | Event frame searching using the AFEventFrameSearch class | Discuss how to go from legacy AF SDK FindEventFrames search criteria to the newer AFEventFrameSearch class. |
5 | New PI Data Archive RPCs - ReplaceValues and RecordedValuesAtTimes | Learn about the newly available RPCs on the PI Data Archive and how to leverage them to maximize your application performances. |
6 | New Attributes Traits | AF Attributes may be identified with specific traits or behaviors, such as Limits, Forecast and Analysis Start Triggers to better allow applications to find, display, and analyze related attributes. This post will look into possibilities offered by these new traits from a developer perspective. |
Feel free to comment and let us know what topics have the most value for you. Based on your comments we may change / add topics into this list!
We hope you'll enjoy reading and discovering new features
The PI Developers Club Team
That will be great ....