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> 
> 

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