Recurring calendar

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The document discusses recurring calendar events and the challenges in modeling them. It presents different approaches like storing each occurrence separately, bifurcating storage between single and recurring events, and generating occurrences from rules. It then introduces BlendCalendar as a solution that aims to make recurring events actually work by optimizing for typical usage patterns with event loads under 10,000 per year and queries within a given range rather than all future dates. Some remaining needs are listed like translations, exceptions, time zones, and data model improvements.

Recurring Calendar with BlendCalendar
Joe Kepley, Blend Interactive

eZ provides an events calendar, but it’s very basic

Due to services like Google Calendar, users expect very advanced calendaring

Recurring events is one of those modeling problems that seems easy on the surface,
but is really quite complex.

Presenter: Joe Kepley 2/9/12 SLIDE 1

Record per event, separate storage of recurrence rules

Natural extension of single event storage with a rules table

Easy to understand

Easy to query

Requires generation of events via scheduled job

Multiple records per occurrence

Presenter: Joe Kepley 2/9/12 SLIDE 1

Single event storage with separate storage for recurring events

Storage is bifurcated

All recurring events have to be checked on each pass

Complex queries

Presenter: Joe Kepley 2/9/12 SLIDE 2

Another option?

Presenter: Joe Kepley 2/9/12 SLIDE 3

Can we make it actually work?

Optimization Assumptions

In most applications, one-time events are the 80-90% case.

Typical event load is in the <10,000/year range.

Data is only queried across a given range. This month or year, not all future points.

Presenter: Joe Kepley 2/9/12 SLIDE 4

Needs work!

Translations

Date exceptions within a recurring rule

Time zone bugs/testing

Improvements to data model

http://github.com/blendinteractive/BlendCalendar

Presenter: Joe Kepley 2/9/12 SLIDE 4

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The six step guide to practical project management If you think managing projects is too difficult, think again. We’ve stripped back project management processes to the basics – to make it quicker and easier, without sacrificing the vital ingredients for success. “If you’re looking for some real-world guidance, then The Six Step Guide to Practical Project Management will help.” Dr Andrew Makar, Tactical Project Management

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Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...

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During this webinar, Anand Bagmar demonstrates how AI tools such as ChatGPT can be applied to various stages of the software development life cycle (SDLC) using an eCommerce application case study. Find the on-demand recording and more info at https://applitools.info/b59 Key takeaways: • Learn how to use ChatGPT to add AI power to your testing and test automation • Understand the limitations of the technology and where human expertise is crucial • Gain insight into different AI-based tools • Adopt AI-based tools to stay relevant and optimize work for developers and testers * ChatGPT and OpenAI belong to OpenAI, L.L.C.

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Recurring calendar

1. Recurring Calendar with BlendCalendar Joe Kepley, Blend Interactive

2. eZ provides an events calendar, but it’s very basic Due to services like Google Calendar, users expect very advanced calendaring Recurring events is one of those modeling problems that seems easy on the surface, but is really quite complex. Presenter: Joe Kepley 2/9/12 SLIDE 1

3. Record per event, separate storage of recurrence rules Natural extension of single event storage with a rules table Easy to understand Easy to query Requires generation of events via scheduled job Multiple records per occurrence Presenter: Joe Kepley 2/9/12 SLIDE 1

4. Single event storage with separate storage for recurring events Storage is bifurcated All recurring events have to be checked on each pass Complex queries Presenter: Joe Kepley 2/9/12 SLIDE 2

5. Another option? Presenter: Joe Kepley 2/9/12 SLIDE 3

6. Can we make it actually work? Optimization Assumptions In most applications, one-time events are the 80-90% case. Typical event load is in the <10,000/year range. Data is only queried across a given range. This month or year, not all future points. Presenter: Joe Kepley 2/9/12 SLIDE 4

7. Calendar

8. Needs work! Translations Date exceptions within a recurring rule Time zone bugs/testing Improvements to data model http://github.com/blendinteractive/BlendCalendar Presenter: Joe Kepley 2/9/12 SLIDE 4

Recurring calendar

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