The LDBC Social Network Benchmark's Interactive workload captures an OLTP scenario operating on a correlated social network graph. It consists of complex graph queries executed concurrently with a stream of updates operation. Since its initial release in 2015, the Interactive workload has become the de facto industry standard for benchmarking transactional graph data management systems. As graph systems have matured and the community's understanding of graph processing features has evolved, we initiated the renewal of this benchmark. This paper describes the draft Interactive v2 workload with several new features: delete operations, a cheapest path-finding query, support for larger data sets, and a novel temporal parameter curation algorithm that ensures stable runtimes for path queries.

翻译：LDBC 社交网络基准测试的交互式负载捕获了在关联社交网络图上运行的 OLTP 场景。它由与更新操作流并发执行的复杂图查询组成。自 2015 年首次发布以来，该交互式负载已成为事实上的行业标准，用于对事务性图数据管理系统进行基准测试。随着图系统的成熟以及社区对图处理特性理解的演进，我们启动了该基准的更新工作。本文描述了交互式 v2 负载的草案，其包含若干新特性：删除操作、最廉价路径查找查询、对更大数据集的支持，以及一种新颖的时间参数调整算法，可确保路径查询的运行时间保持稳定。