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On 2019/01/15 16:52:44, Xiangrui Meng 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>
>
Alastair Green
Lead, Query Languages Standards and Research
Product Manager, Cypher OSS/Neo4j Morpheus for Apache Spark

Neo4j Inc
8th Floor, Friars Bridge Court
41-45 Blackfriars Road
London SE1 8NZ

+44 795 841 2107
alastair.gr...@neo4j.com

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