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
