Comments (3)
+1, I am reading the source code and trying to find a solution but before dealing with this one I found another one. (╯‵□′)╯︵┻━┻... if you have time you can see my issue
As your issue, I found that actually, it regulates you to return a id(n)
first because it casts the first return variable to Long
and tries to put the followings all in another variable (in Neo4j.scala
, line 279)
val nodes: RDD[(VertexId, VD)] = nodeRdds.map(row => (row.getLong(0), if (row.size == 1) nodeDefault else row.getAs[VD](1)))
I also tried to return something like id(n), n.attr1, n.attr2
but I also got null
, perhaps this is something you are dealing, I am trying to solve it, if you fix it, could you please let me know, thanks!
from neo4j-spark-connector.
I agree with this consideration.
from neo4j-spark-connector.
I'm closing this because it's more than 1yr old feel free to reopen in case the issue is not solved
from neo4j-spark-connector.
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