Presenting “Analytic Functions in Practice” at the DOAG-Regio Hamburg/Nord Dec 4 2018

Save the date to see my presentation about “Oracle Analytic Functions in Practice Applications” along the regular meetup of the DOAG/Oracle-community in Hamburg on Dec 4 2018. Although analytic functions is nothing really new in the Oracle world, I’m again attempting to propagate the thrilling productivity of this SQL-toolset, since practice applications are still not as dispersed as expected. To this extent, I want to stress windowing and aggregation over analytics and statistics in real world scenarios and examples. The presentation will be held in German, I suppose. Event details go here and there:

A Confluence dashboard-like page layout using section-, column- and panel-macros

Every wiki landing page usually features a kind of overview layout to provide links to the most interesting topics or articles. This might constitute a classic table of contents, quite lengthy at times, a tag cloud of the hottest keywords (and relations, maybe), for iterative exploration, or, if you like, a dashboard of context grouped / block visualized widgets of important articles. Whatever you prefer, me, I almost always take on the dashboard approach, because it provides a great productivity in information to space ratio. Furthermore, dashboards also greatly serve the figurative memory in that one can plainly remember some article link resides in a widget up in the upper right corner of the page or yet within another widget with an outstanding background color.

However, I’m not planning to advertise dashboard / widget user interfaces here. What is to follow comprises an implementation pattern and example of setting up a simple dashboard layout in recent Confluence environments. All you need is to employ section-, column- and panel-macros in that order and hierarchy, respectively. For reference see the latest Confluence docs concerning:


Some useful terminal color scheme settings (mc, yast) on sles linux

I’m not very much into suse linux, only lately for a couple of times. However, I want to share these settings to be injected on each and every new system for essential readabilty of some console screens. Problem is, for some apps, midnight commander and yast so far, the default color scheme settings provide that less contrast, see below, that you’re literally guessing pixels instead of just reading text.
As given in the referenced posts, only small tweaks are actually necessary to achieve much better results, I’ll give examples as well, so go for it, don’t postpone to the next and the next and the next… login 😉


Setting up and mastering radius search in PostgreSQL (9.1)

Radius search in PostgreSQL may come in employing a light and/or a much more sophisticated version. This article discusses the light one, namely the cube and the earth distance extensions, most probably sufficient for the web user’s getting here and there requirements. earth distance, depending on cube, assumes the earth to be perfectly spherical, anyone demanding a higher accuracy level, especially for the mountainous parts, may take a look at the PostGIS project.

Although radius search, the light variety, will be up fast and performing well, there may be some mantrap around, for the ones who prefer to read documentation the easy way too. First of all, PostgreSQL: Documentation: 9.1: earthdistance indicates that the point-based earth distance calculation is hard-wired to statute miles in units. You may use this circumstance to your advantage, like datachomp did in Radius Queries in Postgres, as long as you know what you’re doing. Second to that, taking on the alternate cube-based earth distance calculation, the earth_box function, accepting a lat/long and a radius on input, may return locations farther than the actual radius given (documented alike). This is because earth_box, as the name implies, still handles a box geometry on the idealized sphere (and not some higher order circle surface). But more on that below.