Currently working on a large dataset where it would be much easier modelled as using Cypher. Very interested in this proposal
On 2019/01/15 16:52:44, Xiangrui Meng <m...@gmail.com> wrote: > Hi all,> > > I want to re-send the previous SPIP on introducing a DataFrame-based graph> > component to collect more feedback. It supports property graphs, Cypher> > graph queries, and graph algorithms built on top of the DataFrame API. If> > you are a GraphX user or your workload is essentially graph queries, please> > help review and check how it fits into your use cases. Your feedback would> > be greatly appreciated!> > > # Links to SPIP and design sketch:> > > * Jira issue for the SPIP: https://issues.apache.org/jira/browse/SPARK-25994> > * Google Doc:> > https://docs.google.com/document/d/1ljqVsAh2wxTZS8XqwDQgRT6i_mania3ffYSYpEgLx9k/edit?usp=sharing> > > * Jira issue for a first design sketch:> > https://issues.apache.org/jira/browse/SPARK-26028> > * Google Doc:> > https://docs.google.com/document/d/1Wxzghj0PvpOVu7XD1iA8uonRYhexwn18utdcTxtkxlI/edit?usp=sharing> > > > # Sample code:> > > ~~~> > val graph = ...> > > // query> > val result = graph.cypher("""> > MATCH (p:Person)-[r:STUDY_AT]->(u:University)> > RETURN p.name, r.since, u.name> > """)> > > // algorithms> > val ranks = graph.pageRank.run()> > ~~~> > > Best,> > Xiangrui> > --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
