Spark (connector version 2.1.0-M4) with neo4j 3.4.5

i build a data processing using neo4j-spark-connector(v 2.1.0-M4). until now i used neo4j 3.3 and everything works fine.
i need to improve this process now, and for do it i need to use neo4j 3.4.5 features(datetime field) -
part of the code:
val date = Calendar.getInstance()
date.add(Calendar.DATE, -30)
date.set(Calendar.HOUR_OF_DAY, 0)
date.set(Calendar.MINUTE, 0)
date.set(Calendar.SECOND, 0)
date.set(Calendar.MILLISECOND, 0)

val d = ZonedDateTime.ofInstant(date.toInstant(), ZoneId.of(("UTC")))
val map = Map("date" -> d)

neo4j.cypher(relevanceQuery, map)

the map works because if i put long parameters it works.

the error i get:
org.neo4j.driver.v1.exceptions.ClientException: Unable to convert java.time.ZonedDateTime to Neo4j Value.

hope someone will help,

We probably need to update the java driver version, I'll do that this week.

many thanks michael!

hi michael,
you know when it will be ready?


Sorry I ran into a number of build errors as part of the update, that have to be fixed first.

maybe you have some estimation?

i changed all date properties to work with the new date type(before 3.4 the properties were just a long number), and now i'm a little bit stuck because of it :\ , cant upload new sprint to production.


It would be good to have some time to work through some of the other open issues and suggestions, but I'm afraid I won't have the capacity right now.

As i said on github, the jar works for me. so thanks!

last thing,
you can upload it to the maven repository too?
the latest version there is 2.2.1-M5


Yes I'm trying, there are some issues mit maven central :frowning:

Here you go:

Please let me know if it works.


it works! :)

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Something that would help me tremendously would be some other folks describing / documenting how they use the connector. So if you have a few minutes at some time I would very much appreciate a blog post explaining how you use it and also feedback on what could be improved.

no problem,
will do it soon :)

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