September 2016 Summaries

In this article, we discussed how to use Apache TinkerPop's time-agnostic traversal language with DSE Graph's time-prescient indexing system to efficiently query a graph database that models the world over time. We introduced the concept of "time machine" graphs and explained how to define a schema for such a graph, including global graph indices and local vertex-centric indices. We then demonstrated how to use TinkerPop's SubgraphStrategy to compile traversals into time-prescient forms that can be efficiently evaluated against DSE Graph's storage engine using its unique indexing system. We also discussed the importance of maintaining proper timestamps when modifying a graph and provided examples of how to do so in TinkerPop traversals. Finally, we shared some customer use cases for time-based graphs and acknowledged the contributions of various individuals who helped with this article. The future is yours!

DataStax Python Driver 3.7.0 for Apache Cassandra has been released with new features and improvements. Key updates include cluster metrics, session request listener, speculative query retries, paging state in ResultSet class, EC2MultiRegionTranslator, and Connections feature to manage multiple keyspaces and sessions. These enhancements aim to improve performance and user experience for Apache Cassandra users.