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Posted to issues@spark.apache.org by "Martin Junghanns (JIRA)" <ji...@apache.org> on 2019/07/25 10:25:00 UTC

[jira] [Created] (SPARK-28513) Compute distinct label sets instead of subsets

Martin Junghanns created SPARK-28513:
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             Summary: Compute distinct label sets instead of subsets
                 Key: SPARK-28513
                 URL: https://issues.apache.org/jira/browse/SPARK-28513
             Project: Spark
          Issue Type: Improvement
          Components: Graph
    Affects Versions: 3.0.0
            Reporter: Martin Junghanns


{code:scala}
CypherSession::createDataFrame(nodes: DataFrame, rels: DataFrame)
{code}
 currently computes NodeFrames by filtering label columns, computing all possible subsets and creating one NodeFrame for each subset. This results in 2^n sets / NodeFrames.

Instead, we should compute the distinct label sets that actually occur in the nodes DataFrame.



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