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SNB Interactive Part 2 - Modeling Choices

  • Posted on: 26 May 2015
  • By: Orri Erling

Note: this post is a continuation of "SNB Interactive Part 1 - What is SNB Interactive Really About?" post by Orri Erling.

​SNB Interactive is the wild frontier, with very few rules. This is necessary, among other reasons, because there is no standard property graph data model, and because the contestants support a broad mix of programming models, ranging from in-process APIs to declarative query.

Further Developments in SNB BI Workload

  • Posted on: 18 December 2014
  • By: Orri Erling

We are presently working on the SNB BI workload. Andrey Gubichev of TU Munchen and myself are going through the queries and are playing with two SQL based implementations, one on Virtuoso and the other on Hyper.

As discussed before, the BI workload has the same choke points as TPC-H as a base but pushes further in terms of graphiness and query complexity.

Making It Interactive

  • Posted on: 26 September 2014
  • By: Orri Erling

Synopsis: Now is the time to finalize the interactive part of the Social Network Benchmark (SNB). The benchmark must be both credible in a real social network setting and pose new challenges. There are many hard queries but not enough representation for what online systems in fact do. So, the workload mix must strike a balance between the practice and presenting new challenges.

SNB Data Generator - Getting Started

  • Posted on: 18 September 2014
  • By: Arnau Prat

In previous posts (this and this) we briefly introduced the design goals and philosophy behind DATAGEN, the data generator used in LDBC-SNB. In this post, I will explain how to use DATAGEN to generate the necessary datatsets to run LDBC-SNB. Of course, as DATAGEN is continuously under development,  the instructions given in this tutorial might change in the future.

DATAGEN: data generation for the Social Network Benchmark

  • Posted on: 14 August 2014
  • By: Arnau Prat

As explained in a previous post, the LDBC Social Network Benchmark (LDBC-SNB) has the objective to provide a realistic yet challenging workload, consisting of a social network and a set of queries. Both have to be realistic, easy to understand and easy to generate. This post has the objective to discuss the main features of DATAGEN, the social network data generator provided by LDBC-SNB, which is an evolution of S3G21.

Social Network Benchmark goals

  • Posted on: 24 July 2014
  • By: Josep Larriba Pey

Social Network interaction is amongst the most natural and widely spread activities in the internet society, and it has turned out to be a very useful way for people to socialise at different levels (friendship, professional, hobby, etc.). As such, Social Networks are well understood from the point of view of the data involved and the interaction required by their actors.

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