mdds 0.3.0 released!

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I’m happy to announce the release of version 0.3.0 of Multi-Dimensional Data Structure, or mdds for short. This is a C++ library, and is a collection of various data structures designed to efficiently store and query multi-dimensional data for various filtering criteria. Different structures are optimized for different query needs.

This library is a source-code only library. It’s designed to be header-only meaning that the user program does not need to link to any additional shared library in order to use these data structures. The data structures are all available as C++ templates.

I have briefly touched on the motivation behind starting this project when I previously talked about my effort to increase Calc’s row limit, the effort of which eventually led to the creation of Flat segment tree, one of the structures included in this library.

What this release contains

This version contains the following four data structures:

  • Segment tree
  • Flat segment tree
  • Rectangle set
  • Point quad tree

I will not go into the details of each of these data structures in this post, but I will probably do a follow-up post explaining the strengths of each structure, and details of how they are structured internally, how the query works etc. The project home page provides a brief (yes, very brief!) overview of these data structures for the curious-minded.

Installation

I’ve created a package for the SUSE family of Linux distributions, via openSUSE Build Service (OBS). There is also a link to 1-Click Install from the project home page.

For non-SUSE users, please install it directly from the generic source package available from here, but first I must apologize for not providing the familiar configure, make, make install installation option yet. That’s one of the things I’d like to work on in future releases. For now, please install the library manually by

tar xvf mdds_0.3.0.tar.bz2
cd mdds_0.3.0
sudo cp -R inc/mdds /usr/local/include/

How to use these data structures

I’ve provided some example source code under the example directory which should serve as a quick tutorial on how to use these structures. For more details of the API, please refer to their respective header file. As time permits, I will work on providing documentation for this library.

Lastly…

Comments and feedback are very much appreciated! Thank you very much, ladies and gentlemen. :-)