When we started developing web solutions with eZ Publish in 2004, the architecture was simple. We had a Linux operating system, an Apache web server, a MySQL database, and PHP runtime as an Apache module. You know this architecture by its LAMP acronym.
Over the years, things got a bit more complicated due to performance reasons and because some other tools were suitable for some specific features. The situation exploded with the new stack and eZ Platform. We are now on LNMpPf7VHMS as our default architecture with the possibility of adding a few more letters in the near future.
When we announced PHP & eZ Publish Summer Camp 2015 in March, we must admit we had only been secretly hoping for such an amazing turnout - the Camp was sold out! Now it’s time for us to share with you the gained experience, shared knowledge, and all the fun we had during and between the workshops.
Solr is an excellent search engine. We are using it for years through eZ Find (its an eZ Publish extension for searching) and its really powerful and flexible solution. Our use cases are not that complex so we never actually hit into a wall with Solr. But there is one problem when building search solutions in general which we encountered few times and for which Solr has no feature. It happens when the language of the indexed content is some language that we as integrators don't understand.
Impossible, you say :) After a long year, when we first started development of version 2.0 of eZ Tags, we finally have something to show to the community. We know it shouldn’t have lasted this long, but what can you do... Sometimes a paying job just gets in a way :)
Few years back when eZ Find (on github) showed up we soon started to deploy it on almost every site we were implementing. The hearth of eZ Find is Solr - a Lucene based java search engine with REST interface. Bundled wit eZ Find comes Jetty for running the whole java stack with one command to keep the usage as simple as possible. We switched to Apache Tomcat instead. Learn why.
Some of us at Netgen attended eZ Conference a few weeks ago in Berlin (and had a great time there :-), so we would like to present eZ developers with a small summary on few topics that we think are important.
In this blog post we present a simple example on how to build a spatial search with eZFind. The most common usage of the spatial search would be finding the nearest locations available and this is what we are describing here.
We introduce some of the details on how we developed "Netgen Suggest" extension for eZPublish. Extension is shared with community: projects.ez.no/ngsuggest. Download and installation instructions can be found there.