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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