Fredah, As far as I know the only compression in the system is in the interaction with remote systems where the compression flag can be enabled to compress HTTP/S responses from Fuseki and from federated queries.
I suppose some storage engines could implement compression but that would be on an engine by engine basis. How the data are stored are also determined on an engine by engine basis. >From what I can tell most implementations use TDB (a native storeage engine), Andy Seaborne would be able to speak to how that stores data but it is a native format with several indexes. Another possible storage engine is SDB, but that is mostly retired. It uses a relational database to store the data in several tables with several indexes. There is an in memory engine, and I have implemented a bloom filter based engine built on top of a relational storage model. I suspect there are other storage engines available but I don't know what they are or how they are implemented. Claude On Thu, May 7, 2015 at 1:29 PM, Fredah B <fredahba...@gmail.com> wrote: > Dear Team, > > > I plan on using your SPARQL engine for my project implementation. I’m > impressed by the tremendous work you have put in to make this engine a > success however I did notice that the underlying infrastructure and > compression technique used are encapsulated. I need to fully understand how > the data is processed from start to finish especially with regards to the > compression. Are there by any chance papers that have been written that > cover the compression and decompression used in your engine or is it > possible to refer me to someone who may be able to explain it to me? > > > Also, is compression default or is turned on and off depending on the data > load of the system? I was also wondering how you store the data internally. > As in, what format is the data stored? Is it an internally created > representation or one of the standard RDF representations? > > > I would really appreciate your assistance in answering these questions and > look forward to hearing from you soon. > > > Best Regards, > > > Fredah > -- I like: Like Like - The likeliest place on the web <http://like-like.xenei.com> LinkedIn: http://www.linkedin.com/in/claudewarren
