Implementing overlapping date-range queries in Kube

Warning: this post is about me experimenting and researching on the subject, I am not an authority in the matter.

I want my calendar view to be optimized, how hard can it be?

To be more precise, I want the events displayed in a calendar view (week view, month view, etc.) to be fetched quickly from the database, without having to load them all into memory, while not overblowing the size of the database. Some people use their calendar extensively and we do not want to make Kube memory or disk heavy for them.

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Deprecation of TLS version 1.0

For most people, it’s been looming about pretty silently over the past few years, but TLS v1.0, the oldest and earliest version of Transport Layer Security is considered deprecated. The Payment Card Industry (PCI) data security standard (DSS) version 3.2 from April 2016 recommends full deprecation by the end of June 2018.

In compliance with these standards, while originating from the payment card industry, widely regarded to as a guiding standard for other industries, Kolab Now has disabled support for TLS v1.0.

Why? What does that mean?

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Kube’s gained some manpower

Around FOSDEM this year we have found some fresh manpower for Kube! Please welcome Rémi, who is doing an internship with us, and is working on Kube during that time. He was quick to land his first few patches and is now busy implementing the first few steps for CalDAV based calendaring support.

I for one am exited to see what he will come up with =)

Find your mails with fulltext search

The most recent addition to Kube is fulltext search. It’s a complex enough topic that we don’t really want to implement it in our key-value store that we use for the rest of the data, which is why we’re using Xapian to do the heavy lifting.

Kube is an offline capable client, and as such we also want search to work without an internet connection. However, we naturally can only search the data that you have available locally. Normally this means we’ll have subject and recipients indexed for all your mail, and the complete content for all mails that you have every viewed/downloaded.

In the long run we’ll want to extend that with server-side searching for when you’re connected to the server, so that you could indeed search through all your data, without having to first download it all. But that is a task for another day.

So here it goes; Fast as you type searching of your emails:

Searching a folder with 50k messages.

For more info about Kube, please head over to About Kube.